二、作为第一作者或通讯作者发表的IEEE TRANSACTIONS/JOURNAL论文 [1] Xin Luo（罗辛）， Zhibin Li, Wenbin Yue*, and Shuai Li*. A Calibrator Fuzzy Ensemble for Highly-Accurate Robot Arm Calibration. IEEE Transactions on Neural Networks and Learning Systems, 10.1109/TNNLS.2024.3354080. IF=10.4，中科院一区，CCF-B类 [2] Ye Yuan, Jinli Li, and Xin Luo*（罗辛）. A Fuzzy PID-Incorporated Stochastic Gradient Descent Algorithm for Fast and Accurate Latent Factor Analysis. IEEE Transactions on Fuzzy Systems, 10.1109/TFS.2024.3389733. IF=11.9，中科院一区，CCF-B类 [3] Jiufang Chen#, Kechen Liu#, Xin Luo*（罗辛）, Ye Yuan, Khaled Sedraoui, Yusuf Al-Turki, and MengChu Zhou. A State-migration Particle Swarm Optimizer for Adaptive Latent Factor Analysis of High-Dimensional and Incomplete Data. IEEE/CAA Journal of Automatica Sinica, 10.1109/JAS.2024. IF=11.8，中科院一区 [4] Weiyi Yang, Shuai Li, and Xin Luo*（罗辛）. Data Driven Vibration Control: A Review. IEEE/CAA Journal of Automatica Sinica, 10.1109/JAS.2024.124431. IF=11.8，中科院一区 [5] Xin Liao, Khoi Hoang, and Xin Luo*（罗辛）. Local Search-based Anytime Algorithms for Continuous Distributed Constraint Optimization Problems. IEEE/CAA Journal of Automatica Sinica, 10.1109/JAS.2024.124413. IF=11.8，中科院一区 [6] Wen Qin and Xin Luo*（罗辛）. Asynchronous Parallel Fuzzy Stochastic Gradient Descent for High-Dimensional Incomplete Data. IEEE Transactions on Fuzzy Systems, 2024, 32(2): 445-459. IF=11.9，中科院一区，CCF-B类 [7] Wen Qin, Xin Luo*（罗辛）, and MengChu Zhou. Adaptively-accelerated Parallel Stochastic Gradient Descent for High-Dimensional and Incomplete Data Representation Learning, IEEE Transactions on Big Data, 2024, 10(1): 92-107. IF=7.2 [8] Tinghui Chen, Shuai Li, Yan Qiao, and Xin Luo*（罗辛）. A Robust and Efficient Ensemble of Diversified Evolutionary Computing Algorithms for Accurate Robot Calibration. IEEE Transactions on Instrumentation and Measurement, 2024, 73:1-14. IF=5.6 [9] Nianyin Zeng, Xinyu Li, Peishu Wu, Han Li, and Xin Luo*（罗辛）. A Novel Tensor Decomposition-based Efficient Detector for Low-altitude Aerial Objects with Knowledge Distillation Scheme. IEEE/CAA Journal of Automatica Sinica, 2024, 11(2): 487-501. IF=11.8，中科院一区 [10] Di Wu, Xin Luo*（罗辛）, Yi He and MengChu Zhou. A Prediction-sampling-based Multilayer-structured Latent Factor Model for Accurate Representation to High-dimensional and Sparse Data. IEEE Transactions on Neural Networks and Learning Systems, 2024, 35(3): 3845-3858. IF=10.4，中科院一区，CCF-B类 [11] Xin Luo（罗辛）, Yue Zhou, Zhigang Liu, and MengChu Zhou*. Fast and Accurate Non-negative Latent Factor Analysis on High-dimensional and Sparse Matrices in Recommender Systems, IEEE Transactions on Knowledge and Data Engineering, 2023, 35(4): 3897-3911. IF=8.9，CCF-A类，中科院一区 [12] Xin Luo*（罗辛）, Yurong Zhong, Zidong Wang, and Maozhen Li. An Alternating-direction-method of Multipliers-Incorporated Approach to Symmetric Non-negative Latent Factor Analysis, IEEE Transactions on Neural Networks and Learning Systems, 2023, 34(8): 4826-4840. IF=10.4，中科院一区，CCF-B类 [13] Xin Luo（罗辛）, Liwei Wang, Pengwei Hu, and Lun Hu*. Predicting Protein-Protein Interactions Using Sequence and Network Information via Variational Graph Autoencoder. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2023, 20(5): 3182-3194. IF=4.5，CCF-B类 [14] Fanghui Bi, Xin Luo*（罗辛）, Bo Shen, Hongli Dong, and Zidong Wang. Proximal Alternating-Direction-Method-of-Multipliers-Incorporated Nonnegative Latent Factor Analysis. IEEE/CAA Journal of Automatica Sinica, 2023, 10(6): 1388-1406. IF=11.8，中科院一区，谷歌学术引用10次 [15] Fanghui Bi, Tiantian He, Yuetong Xie, and Xin Luo*（罗辛）. Two-Stream Graph Convolutional Network-Incorporated Latent Feature Analysis, IEEE Transactions on Services Computing, 2023, 16(4): 3027-3042. IF=8.1，中科院一区，CCF-A类，谷歌学术引用13次 [16] Lun Hu, Yue Yang, Zehai Tang, Yizhou He, and Xin Luo*（罗辛）. FCAN-MOPSO: An Improved Fuzzy-based Graph Clustering Algorithm for Complex Networks with Multi-objective Particle Swarm Optimization. IEEE Transactions on Fuzzy Systems, vol. 31, no. 10, pp. 3470-3484, Oct. 2023, 31(10): 3470-3484. IF=11.9，中科院一区，CCF-B类，谷歌学术引用33次 [17] Di Wu, Yi He, and Xin Luo*（罗辛）. A Graph-incorporated Latent Factor Analysis Model for High-dimensional and Sparse Data. IEEE Transactions on Emerging Topics in Computing, 2023, 11(4): 907-917. IF=5.9 [18] Weiyi Yang, Shuai Li, Zhibin Li, and Xin Luo*（罗辛）. Highly-Accurate Manipulator Calibration via Extended Kalman Filter-Incorporated Residual Neural Network. IEEE Transactions on Industrial Informatics, 2023, 19(11): 10831-10841. IF=12.3，中科院一区，谷歌学术引用15次 [19] Xin Luo（罗辛）, Hao Wu, and Zechao Li*. NeuLFT: A Novel Approach to Nonlinear Canonical Polyadic Decomposition on High-Dimensional Incomplete Tensors, IEEE Transactions on Knowledge and Data Engineering, 2023, 35(6): 6148-6166. IF=8.9，中科院一区，CCF-A类，谷歌学术引用104次 [20] Ye Yuan, Xin Luo*（罗辛）, Mingsheng Shang, and Zidong Wang. A Kalman-Filter-Incorporated Latent Factor Analysis Model for Temporally Dynamic Sparse Data. IEEE Transactions on Cybernetics, 2023, 53(9): 5788-5801. IF=11.8，中科院一区，CCF-B类，谷歌学术引用35次 [21] Weiling Li, Xin Luo*（罗辛）, Huaqiang Yuan, and MengChu Zhou. A Momentum-accelerated Hessian-vector-based Latent Factor Analysis Model, IEEE Transactions on Services Computing, 2023, 16(2): 830-844. IF=8.1，中科院一区，CCF-A类，谷歌学术引用22次 [22] Di Wu, Peng Zhang, Yi He, and Xin Luo*（罗辛）. A Double-Space and Double-Norm Ensembled Latent Factor Model for Highly Accurate Web Service QoS Prediction, IEEE Transactions on Services Computing, 2023, 16(2): 802-814. IF=8.1，中科院一区，CCF-A类，谷歌学术引用59次 [23] Zhibin Li, Shuai Li, Omaimah Bamasag, Areej Alhothali, and Xin Luo*（罗辛）. Diversified Regularization Enhanced Training for Effective Manipulator Calibration. IEEE Transactions on Neural Networks and Learning Systems, 2023, 34(11): 8778-8790. IF=10.4，中科院一区，CCF-B类，谷歌学术引用59次 [24] Lin Chen, and Xin Luo*（罗辛）. Tensor Distribution Regression based on the 3D Conventional Neural Networks. IEEE/CAA Journal of Automatica Sinica, 2023, 10(7): 1628-1630. IF=11.8，中科院一区， [25] Zhigang Liu, Yugen Yi, and Xin Luo*（罗辛）. A High-Order Proximity-Incorporated Nonnegative Matrix Factorization-based Community Detector. IEEE Transactions on Emerging Topics in Computational Intelligence, 2023, 7(3): 700-714. IF=5.3 [26] Zhengtai Xie, Long Jin*, and Xin Luo*（罗辛）. Kinematics-Based Motion-Force Control for Redundant Manipulators with Quaternion Control. IEEE Transactions on Automation Science and Engineering, 2023, 20(3): 1815-1828. IF=5.6，中科院一区，CCF-B类 [27] Minzhi Chen, Chunlin He*, and Xin Luo*（罗辛）. MNL: A Highly-Efficient model for Large-scale Dynamic Weighted Directed Network Representation, IEEE Transactions on Big Data, 2023, 9(3): 889-903. IF=7.2，谷歌学术引用13次 [28] Weiling Li#, Renfang Wang#, Xin Luo*（罗辛）, and MengChu Zhou*. A Second-order Symmetric Non-negative Latent Factor Model for Undirected Weighted Network Representation, IEEE Transactions on Network Science and Engineering, 2023, 10(2): 606-618. IF=6.6，谷歌学术引用11次 [29] Yue Zhou, Xin Luo*（罗辛）, and MengChu Zhou*. Cryptocurrency Transaction Network Embedding from Static and Dynamic Perspectives: An Overview. IEEE/CAA Journal of Automatica Sinica, 2023, 10(5): 1105-1121. IF=11.8，中科院一区，谷歌学术引用10次 [30] Zhibin Li, Xin Luo*（罗辛）, and Shuai Li*. Efficient Industrial Robot Calibration via a Novel Unscented Kalman Filter-Incorporated Variable Step-Size Levenberg-Marquardt Algorithm. IEEE Transactions on Instrumentation and Measurement, 2023, 72: 1-12. IF=5.6 [31] Xiuqin Xu, Mingwei Lin*, Xin Luo*（罗辛）, and Zeshui Xu. HRST-LR: A Hessian Regularization Spatio-Temporal Low Rank Algorithm for Traffic Data Imputation. IEEE Transactions on Intelligent Transportation Systems, 2023, 24(10): 11001-11017. IF=8.5，中科院一区，谷歌学术引用17次 [32] Xin Luo*（罗辛）, Jiufang Chen, Ye Yuan, and Zidong Wang. Pseudo Gradient-Adjusted Particle Swarm Optimization for Accurate Adaptive Latent Factor Analysis. IEEE Transactions on Systems Man Cybernetics: Systems, 10.1109/TSMC.2023.3340919. IF=8.7，中科院一区，CCF-B类 [33] Wen Qin, Xin Luo*（罗辛）, Shuai Li, and MengChu Zhou*. Parallel Adaptive Stochastic Gradient Descent Algorithms for Latent Factor Analysis of High-Dimensional and Incomplete Industrial Data. IEEE Transactions on Automation Science and Engineering, 10.1109/TASE.2023.3267609. IF=5.6，中科院一区，CCF-B类 [34] Di Wu, Zechao Li, Zhikai Yu, Yi He, and Xin Luo*（罗辛）. Robust Low-rank Latent Feature Analysis for Spatio-Temporal Signal Recovery. IEEE Transactions on Neural Networks and Learning Systems, 10.1109/TNNLS.2023.3339786. IF=10.4，中科院一区，CCF-B类 [35] Fanghui Bi, Tiantian He, and Xin Luo*（罗辛）. A Fast Nonnegative Autoencoder-based Approach to Latent Feature Analysis on High-Dimensional and Incomplete Data, IEEE Transactions on Services Computing, 10.1109/TSC.2023.3319713. IF=8.1，中科院一区，CCF-A类 [36] Di Wu, Peng Zhang, Yi He, and Xin Luo*（罗辛）. MMLF: Multi-Metric Latent Feature Analysis for High-Dimensional and Incomplete Data, IEEE Transactions on Services Computing, 10.1109/TSC.2023.3331570. IF=8.1，中科院一区，CCF-A类 [37] Ye Yuan, Xin Luo*（罗辛）, and MengChu Zhou. Adaptive Divergence-based Non-negative Latent Factor Analysis of High-Dimensional and Incomplete Matrices from Industrial Applications. IEEE Transactions on Emerging Topics in Computational Intelligence, 10.1109/TETCI.2023.3332550. IF=5.3 [38] Long Jin, Siqi Liang, Xin Luo*（罗辛）, and Mengchu Zhou. Distributed and Time-Delayed k-Winner-Take-All Network for Competitive Coordination of Multiple Robots. IEEE Transactions on Cybernetics, 2023, 53(1): 641-652. IF=11.8，中科院一区，CCF-B类，谷歌学术引用26次 [39] Weiling Li, Renfang Wang, and Xin Luo*（罗辛）. A Generalized Nesterov-Accelerated Second-Order Latent Factor Model for High-Dimensional and Incomplete Data. IEEE Transactions on Neural Networks and Learning Systems, 10.1109/TNNLS.2023.3321915. IF=10.4，中科院一区，CCF-B类 [40] Zhibin Li#, Shuai Li#, and Xin Luo*（罗辛）. A Novel Machine Learning System for Industrial Robot Arm Calibration. IEEE Transactions on Circuits and Systems II: Express Briefs, 10.1109/TCSII.2023.3332825. IF=4.4 [41] Fan Zhang, Long Jin* and Xin Luo*（罗辛）. Error-Summation Enhanced Newton Algorithm for Model Predictive Control of Redundant Manipulators. IEEE Transactions on Industrial Electronics, 2023, 70(3): 2800-2811. IF=7.7，中科院一区，谷歌学术引用15次 [42] Long Jin*, Yutong Li, Xiaoyan Zhang, and Xin Luo*（罗辛）. Fuzzy k-Winner-Take-All Network for Competitive Coordination in Multi-robot Systems. IEEE Transactions on Fuzzy Systems, 10.1109/TFS.2023.3339654. IF=11.9，中科院一区，CCF-B类 [43] Zhengtai Xie, Long Jin*, Xin Luo*（罗辛）, MengChu Zhou, and Yu Zheng. A Biobjective Scheme for Kinematic Control of Mobile Robotic Arms with Manipulability Optimization. IEEE/ASME Transactions on Mechatronics, 10.1109/TMECH.2023.3313516. IF=6.4，中科院一区 [44] Zhigang Liu, Xin Luo*（罗辛）, and MengChu Zhou. Symmetry and Graph Bi-regularized Non-Negative Matrix Factorization for Precise Community Detection. IEEE Transactions on Automation Science and Engineering, 10.1109/TASE.2023.3240335. IF=5.6，中科院一区，CCF-B类，谷歌学术引用18次 [45] Jinli Li, Xin Luo*（罗辛）, Ye Yuan, and Shaoce Gao. A Nonlinear PID-Incorporated Adaptive Stochastic Gradient Descent Algorithm for Latent Factor Analysis. IEEE Transactions on Automation Science and Engineering, 10.1109/TASE.2023.3284819. IF=5.6，中科院一区，CCF-B类 [46] Minzhi Chen, Yan Qiao, Renfang Wang*, and Xin Luo*（罗辛）. A Generalized Nesterov’s Accelerated Gradient-Incorporated Non-negative Latent-factorization-of-tensors Model for Efficient Representation to Dynamic QoS Data. IEEE Transactions on Emerging Topics in Computational Intelligence, 10.1109/TETCI.2024.3360338. IF=5.3 [47] Xin Luo（罗辛）, Hao Wu, Zhi Wang, Jianjun Wang, and Deyu Meng*. A Novel Approach to Large-Scale Dynamically Weighted Directed Network Representation, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022, 44(12): 9756-9773. IF=23.6，中科院一区，CCF-A类，谷歌学术引用143次 [48] Xin Luo（罗辛）, Ye Yuan, Sili Chen, Nianyin Zeng, and Zidong Wang. Position-Transitional Particle Swarm Optimization-Incorporated Latent Factor Analysis, IEEE Transactions on Knowledge and Data Engineering, 2022, 34(8): 3958-3970. IF=8.9，中科院一区，CCF-A类，谷歌学术引用218次 [49] Xin Luo（罗辛）, Yue Zhou, Zhigang Liu, Lun Hu*, and MengChu Zhou*. Generalized Nesterov’s Acceleration-incorporated, Non-negative and Adaptive Latent Factor Analysis, IEEE Transactions on Services Computing, 2022, 15(5): 2809-2823. IF=8.1，中科院一区，CCF-A类，谷歌学术引用73次 [50] Xin Luo（罗辛）, Minzhi Chen, Hao Wu, Zhigang Liu, Huaqiang Yuan*, and MengChu Zhou*. Adjusting Learning Depth in Non-negative Latent Factorization of Tensors for Accurately Modeling Temporal Patterns in Dynamic QoS Data, IEEE Transactions on Automation Science and Engineering, 2022, 18(4): 2142-2155. IF=5.6，中科院一区，CCF-B类，谷歌学术引用53次 [51] Xin Luo（罗辛）, Zhigang Liu, Long Jin*, Yue Zhou, and MengChu Zhou*. Symmetric Non-negative Matrix Factorization-based Community Detection Models and Their Convergence Analysis. IEEE Transactions on Neural Networks and Learning Systems, 2022, 33(3): 1203-1215. IF=10.4，中科院一区，CCF-B类，，谷歌学术引用116次 [52] Di Wu#, Xin Luo#,*（罗辛）, Mingsheng Shang, Yi He, Guoyin Wang, and Xindong Wu. A Data-Characteristic-Aware Latent Factor Model for Web Services QoS Prediction, IEEE Transactions on Knowledge and Data Engineering, 2022, 34(6): 2525-2538. IF=8.9，中科院一区，CCF-A类，谷歌学术引用183次，ESI高引 [53] Lun Hu#, Sicheng Yan#, Xin Luo*（罗辛）, and MengChu Zhou. An Algorithm of Inductively Identifying Clusters from Attributed Graphs, IEEE Transactions on Big Data, 2022, 8(2): 523-534. IF=7.2，谷歌学术引用57次，ESI高引 [54] Xiaoyu Shi#, Qiang He#, Xin Luo*（罗辛）, Yanan Bai, and Mingsheng Shang#. Large-scale and Scalable Latent Factor Analysis via Distributed Alternative Stochastic Gradient Descent for Recommender Systems, IEEE Transactions on Big Data, 2022, 8(2):420-431. IF=7.2，谷歌学术引用103次，ESI高引 [55] Hao Wu#, Xin Luo*（罗辛）, and MengChu Zhou#. Advancing Non-negative Latent Factorization of Tensors with Diversified Regularizations, IEEE Transactions on Services Computing, 2022, 15(3): 1334-1344. IF=8.1，中科院一区，谷歌学术引用123次，CCF-A类，ESI高引 [56] Yurong Zhong, Long Jin, Mingsheng Shang, and Xin Luo*（罗辛）. Momentum-incorporated Symmetric Non-negative Latent Factor Models, IEEE Transactions on Big Data, 2022, 8(4): 1096-1106. IF=7.2，谷歌学术引用11次 [57] Ye Yuan#, Qiang He#, Xin Luo#,*（罗辛）, and Mingsheng Shang*. A Multilayered-and-Randomized Latent Factor Model for High-Dimensional and Sparse Matrices, IEEE Transactions on Big Data, 2022, 8(3): 784-794. IF=7.2，谷歌学术引用70次 [58] Mingsheng Shang, Ye Yuan, Xin Luo*（罗辛）, and Mengchu Zhou. An α-β-divergence-generalized Recommender for Highly-accurate Predictions of Missing User Preferences, IEEE Transactions on Cybernetics, 2022, 52(8): 8006-8018. IF=11.8，中科院一区，CCF-B类，谷歌学术引用75次 [59] Di Wu#, Qiang He, Xin Luo*（罗辛）, Mingsheng Shang#, Yi He, and Guoyin Wang. A Posterior-neighborhood-regularized Latent Factor Model for Highly Accurate Web Service QoS Prediction, IEEE Transactions on Services Computing, 2022, 15(2): 793-805. IF=8.1，中科院一区，CCF-A类，谷歌学术引用120次，ESI高引 [60] Dongdong Cheng, Jinlong Huang*, Sulan Zhang, Xiaohua Zhang, and Xin Luo*（罗辛）. A Novel Approximate Spectral Clustering Algorithm with Dense Cores and Density Peaks. IEEE Transactions on Systems Man Cybernetics: Systems, 2022, 52(4): 2348-2360. IF=8.7，中科院一区，CCF-B类，谷歌学术引用32次 [61] Di Wu, Yi He, Xin Luo*（罗辛）, and MengChu Zhou. A Latent Factor Analysis-based Approach to Online Sparse Streaming Feature Selection. IEEE Transactions on Systems Man Cybernetics: Systems, 2022, 52(11): 6744-6758. IF=8.7，中科院一区，CCF-B类，谷歌学术引用136次 [62] Lun Hu, Xiangyu Pan, Zehai Tang, and Xin Luo*（罗辛）. A Fast Fuzzy Clustering Algorithm for Complex Networks via a Generalized Momentum Method. IEEE Transactions on Fuzzy Systems, 2022, 30(9): 3473-348. IF=11.9，中科院一区，CCF-B类，谷歌学术引用71次，ESI高引 [63] Di Wu#, Mingsheng Shang, Xin Luo#,*（罗辛）, and Zidong Wang. An L1-and-L2-norm-oriented Latent Factor Model for Recommender Systems, IEEE Transactions on Neural Networks and Learning Systems, 2022, 33(10): 5775-5788. IF=10.4，中科院一区，CCF-B类，谷歌学术引用134次 [64] Jia Chen, Xin Luo*（罗辛）, and MengChu Zhou. Hierarchical Particle Swarm Optimization-incorporated Latent Factor Analysis for Large-Scale Incomplete Matrices, IEEE Transactions on Big Data, 2022, 8(6): 1524-1536. IF=7.2，谷歌学术引用65次 [65] Yan Song, Zhengyu Zhu, Ming Li, Guisong Yang, and Xin Luo*（罗辛）. Non-negative Latent Factor Analysis-Incorporated and Feature-Weighted Fuzzy Double c-Means Clustering for Incomplete Data. IEEE Transactions on Fuzzy Systems, 2022, 30(10): 4165-4176. IF=11.9，中科院一区，CCF-B类，谷歌学术引用22次 [66] Qingxian Wang, Xinyu Liu, Tianqi Shang, Zhigang Liu, Han Yang, and Xin Luo*（罗辛）. Multi-Constrained Embedding for Accurate Community Detection on Undirected Networks, IEEE Transactions on Network Science and Engineering, 2022, 9(5): 3675-3690. IF=6.6 [67] Long Jin, Xin Zheng, and Xin Luo*（罗辛）. Neural Dynamics for Distributed Collaborative Control of Manipulators with Time Delays. IEEE/CAA Journal of Automatica Sinica, 2022, 9(5): 854-863. IF=11.8，中科院一区，谷歌学术引用41次 [68] Zhigang Liu, Guanxiao Yuan, and Xin Luo*（罗辛）. Symmetry and Nonnegativity-Constrained Matrix Factorization for Community Detection. IEEE/CAA Journal of Automatica Sinica, 2022, 9(9) 1691-1693. IF=11.8，中科院一区，谷歌学术引用22次 [69] Yimeng Qi#, Long Jin#,*, Xin Luo*（罗辛）, Yang Shi, and Mei Liu. Robust k-WTA Network Generation, Analysis, and Applications to Multi-Agent Coordination. IEEE Transactions on Cybernetics, 2022, 52(8): 8515-8527. IF=11.8，中科院一区，CCF-B类，谷歌学术引用34次 [70] Lun Hu, Sicheng Yang, Xin Luo*（罗辛）, Huaqiang Yuan*, and MengChu Zhou. A Distributed Framework for Large-scale Protein-protein Interaction Data Analysis and Prediction Using MapReduce. IEEE/CAA Journal of Automatica Sinica, 2022, 9(1): 160-172. IF=11.8，中科院一区，谷歌学术引用66次 [71] Hao Wu, Xin Luo*（罗辛）, MengChu Zhou*, Muhyaddin J. Rawa, Khaled Sedraoui, and Aiiad Albeshri. A PID-incorporated Latent Factorization of Tensors Approach to Dynamically Weighted Directed Network Analysis. IEEE/CAA Journal of Automatica Sinica, 2022, 9(3): 533-546. IF=11.8，中科院一区，谷歌学术引用54次 [72] Long Jin, Yimeng Qi, Xin Luo*（罗辛）, Shuai Li*, and Mingsheng Shang. Distributed Competition of Multi-Robot Coordination under Variable and Switching Topologies. IEEE Tran sactions on Automation Science and Engineering, 2022, 19(4): 3575-3586. IF=5.6，中科院一区，CCF-B类，谷歌学术引用22次 [73] Lin Wei, Long Jin*, and Xin Luo*（罗辛）. Noise-Suppressing Neural Dynamics for Time-Dependent Constrained Nonlinear Optimization With Applications. IEEE Transactions on Systems Man Cybernetics: Systems, 2022, 52(10): 6139-6150. IF=8.7，中科院一区，CCF-B类，谷歌学术引用27次 [74] Zhibin Li, Shuai Li*, and Xin Luo*（罗辛）. Using Quadratic Interpolated Beetle Antennae Search to Enhance Robot Arm Calibration Accuracy. IEEE Robotics and Automation Letters, 2022, 7(4): 12046-12053. IF=5.2，谷歌学术引用16次 [75] Zhibin Li, Shuai Li*, and Xin Luo*（罗辛）. A Novel Calibration System for Robot Arm via An Open Dataset and A Learning Perspective. IEEE Transactions on Circuits and Systems II: Express Briefs, 2022, 69(12): 5169-5173. IF=4.4，谷歌学术引用15次 [76] Yimeng Qi#, Long Jin#,*, Xin Luo*（罗辛）, and MengChu Zhou. Recurrent Neural Dynamics Models for Perturbed Nonstationary Quadratic Programs: A Control-theoretical Perspective. IEEE Transactions on Neural Networks and Learning Systems, 2022, 33(3): 1216-1227. IF=10.4，中科院一区，CCF-B类，谷歌学术引用28次 [77] Zhengtai Xie#, Long Jin#,*, Xin Luo*（罗辛）, Zhongbo Sun, and Mei Liu. RNN for Repetitive Motion Generation of Redundant Robot Manipulators: An Orthogonal Projection Based Scheme. IEEE Transactions on Neural Networks and Learning Systems, 2022, 33(2): 615-628. IF=10.4，中科院一区，CCF-B类，谷歌学术引用80次，ESI高引 [78] Xin Luo#（罗辛）, Dexian Wang#, MengChu Zhou*, and Huanqiang Yuan*. Latent Factor-based Recommenders Relying on Extended Stochastic Gradient Descent Algorithms. IEEE Transactions on Systems Man Cybernetics: Systems, 2021, 51(2): 916-926. IF=8.7，中科院一区，CCF-B类，谷歌学术引用143次，ESI高引 [79] Xin Luo#,*（罗辛）, Zhigang Liu#, Shuai Li, Mingsheng Shang, and Zidong Wang, A Fast Non-negative Latent Factor Model based on Generalized Momentum Method. IEEE Transactions on Systems Man Cybernetics: Systems, 2021, 51(1): 610-620. IF=8.7，中科院一区，CCF-B类，谷歌学术引用179次，ESI高引 [80] Weiling Li#, Qiang He#, Xin Luo*（罗辛）, and Zidong Wang. Assimilating Second-Order Information for Building Non-Negative Latent Factor Analysis-Based Recommenders. IEEE Transactions on Systems Man Cybernetics: Systems, 2021, 52(1): 485-497. IF=8.7，中科院一区，CCF-B类，谷歌学术引用25次 [81] Xin Luo（罗辛）, Zidong Wang*, and Mingsheng Shang*. An Instance-frequency-weighted Regularization Scheme for Non-negative Latent Factor Analysis on High Dimensional and Sparse Data. IEEE Transactions on Systems Man Cybernetics: Systems, 2021, 51(6): 3522-3532. IF=8.7，中科院一区，CCF-B类，谷歌学术引用118次 [82] Xin Luo#（罗辛）, Ye Yuan#, MengChu Zhou*, Zhigang Liu, and Mingsheng Shang*. Non-negative Latent Factor Model based on β-divergence for Recommender Systems. IEEE Transactions on Systems Man Cybernetics: Systems, 2021, 51(8): 4612-4623. IF=8.7，中科院一区，CCF-B类，谷歌学术引用96次 [83] Xin Luo*（罗辛）, MengChu Zhou, Shuai Li, and Mingsheng Shang*. Algorithms of Unconstrained Non-negative Latent Factor Analysis for Recommender Systems, IEEE Transactions on Big Data, 2021, 7(1): 227-240. IF=7.2，谷歌学术引用146次，ESI高引 [84] Xin Luo#（罗辛）, Wen Qin#, Ani Dong, Khaled Sedraoui, and MengChu Zhou*, Efficient and High-quality Recommendations via Momentum-incorporated Parallel Stochastic Gradient Descent-based Learning, IEEE/CAA Journal of Automatica Sinica, 2021, 8(2): 402-411. IF=11.8，中科院一区，谷歌学术引用143次 [85] Xin Luo（罗辛）, Zhigang Liu, Mingsheng Shang, Jungang Lou*, and MengChu Zhou*. Highly-Accurate Community Detection via Pointwise Mutual Information-Incorporated Symmetric Non-negative Matrix Factorization, IEEE Transactions on Network Science and Engineering, 2021, 8(1): 463-476. IF=6.6，谷歌学术引用99次 [86] Di Wu#, Xin Luo*（罗辛）, Mingsheng Shang#, Yi He, Guoyin Wang, and Mengchu Zhou. A Deep Latent Factor Model for High-Dimensional and Sparse Matrices in Recommender Systems. IEEE Transactions on Systems Man Cybernetics: Systems, 2021, 51(7): 4285-4296. IF=8.7，中科院一区，CCF-B类，谷歌学术引用183次，ESI高引 [87] Lun Hu, Jun Zhang, Xiangyu Pan, Xin Luo（罗辛）*, and Huaqiang Yuan*. An Effective Link-based Clustering Algorithm for Detecting Overlapping Protein Complexes in Protein-protein Interaction Networks, IEEE Transactions on Network Science and Engineering, 2021, 8(4): 3275-3289. IF=6.6，谷歌学术引用41次 [88] Zhigang Liu, Xin Luo*（罗辛）, and Zidong Wang. Convergence Analysis of Single Latent Factor-dependent, Non-negative and Multiplicative Update-based Non-negative Latent Factor Models. IEEE Transactions on Neural Networks and Learning Systems, 2021, 32(4): 1737-1749. IF=10.4，中科院一区，CCF-B类，谷歌学术引用85次 [89] Di Wu, and Xin Luo*（罗辛）, Robust Latent Factor Analysis for Precise Representation of High-dimensional and Sparse Data, IEEE/CAA Journal of Automatica Sinica, 2021, 8(4): 796-805. IF=11.8，中科院一区，谷歌学术引用102次 [90] Zhibin Li, Shuai Li, and Xin Luo*（罗辛）, An Overview of Calibration Technology of Industrial Robots, IEEE/CAA Journal of Automatica Sinica, 2021, 8(1): 23-36. IF=11.8，中科院一区，谷歌学术引用188次 [91] Long Jin*,#, Jiazheng Zhang#, Xin Luo*（罗辛）, Mei Liu#, Shuai Li#, Lin Xiao, and Zihao Yang. Perturbed Manipulability Optimization in A Distributed Network of Redundant Robots. IEEE Transactions on Industrial Electronics, 2021, 68(8): 7209-7220. IF=7.7，中科院一区，谷歌学术引用42次 [92] Qinglan Peng, Yunni Xia*, MengChu Zhou, Xin Luo*（罗辛）, Shu Wang, Yuandou Wang, Chunrong Wu, Shanchen Pang, and Mingwei Lin. Reliability-Aware and Deadline-Constrained Mobile Service Composition Over Opportunistic Networks. IEEE Transactions on Automation Science and Engineering, 2021, 18(3): 1012-1025. IF=5.6，中科院一区，CCF-B类，谷歌学术引用18次 [93] Xin Luo（罗辛）, Hao Wu, MengChu Zhou* and Huaqiang Yuan*. Temporal Pattern-aware QoS Prediction via Biased Non-negative Latent Factorization of Tensors. IEEE Transactions on Cybernetics, 2020, 50(5): 1798-1809. IF=11.8，中科院一区，CCF-B类，谷歌学术引用255次，ESI高引 [94] Xin Luo#,*（罗辛）, MengChu Zhou*, Shuai Li, Lun Hu#, and Mingsheng Shang, Non-negativity Constrained Missing Data Estimation for High-dimensional and Sparse Matrices from Industrial Applications. IEEE Transactions on Cybernetics, 2020, 50(5): 1844-1855. IF=11.8，中科院一区，CCF-B类，谷歌学术引用116次 [95] Yan Song, Ming Li, Xin Luo*（罗辛）, Guisong Yang and Chongjing Wang. Improved Symmetric and Nonnegative Matrix Factorization Models for Undirected, Sparse and Large-Scaled Networks: A Triple Factorization-Based Approach. IEEE Transactions on Industrial Informatics, 2020, 16(5): 3006-3017. IF=12.3，中科院一区，谷歌学术引用113次 [96] Lun Hu, Pengwei Hu, Xiaohui Yuan, Xin Luo*（罗辛）, and Zhuhong You. Incorporating the Coevolving Information of Substrates in Predicting HIV-1 Protease Cleavage Sites. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2020, 17(6): 2017-2028. IF=4.5，CCF-B类，谷歌学术引用41次 [97] Ameer Hamza Khan, Shuai Li*, and Xin Luo*（罗辛）. Obstacle Avoidance and Tracking Control of Redundant Robotic Manipulator: An RNN based Metaheuristic Approach. IEEE Transactions on Industrial Informatics, 2020, 16(7): 4670-4680. IF=12.3，中科院一区，谷歌学术引用211次，ESI高引 [98] Dechao Chen#, Shuai Li, Qing Wu, and Xin Luo#（罗辛）. New Disturbance Rejection Constraint for Redundant Robot Manipulators: An Optimization Perspective. IEEE Transactions on Industrial Informatics, 2020, 16(4): 2221-2232. IF=12.3，中科院一区，谷歌学术引用88次，ESI高引 [99] Xin Luo*（罗辛）, MengChu Zhou, Zidong Wang, Yunni Xia, and Qingsheng Zhu. An Effective Scheme for QoS Estimation via Alternating Direction Method-Based Matrix Factorization, IEEE Transactions on Services Computing, 2019, 12(4): 503-518. IF=8.1，中科院一区，CCF-A类，谷歌学术引用140次，ESI高引 [100] Xin Luo（罗辛） and MengChu Zhou*. Effects of Extended Stochastic Gradient Descent Algorithms on Improving Latent Factor-based Recommender Systems. IEEE Robotics and Automation Letters, 2019, 4(2): 618-624. IF=5.2，谷歌学术引用16次 [101] Lun Hu, Xiaohui Yuan, Xing Liu, Shengwu Xiong*, and Xin Luo*（罗辛）. Efficiently Detecting Protein Complexes from Protein Interaction Networks via Alternating Direction Method of Multipliers. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2019, 16(6): 1922-1935. IF=4.5，CCF-B类，谷歌学术引用88次 [102] Mingsheng Shang#, Xin Luo#,*（罗辛）, Zhigang Liu, Jia Chen, Ye Yuan, and MengChu Zhou*, Randomized Latent Factor Model for High-dimensional and Sparse Matrices from Industrial Applications, IEEE/CAA Journal of Automatica Sinica, 2019, 6(1): 131-141. IF=11.8，中科院一区，谷歌学术引用122次 [103] Xin Luo*（罗辛）, MengChu Zhou, Shuai Li, Yunni Xia, Zhuhong You, Qingsheng Zhu, and Hareton Leung. Incorporation of Efficient Second-order Solvers into Latent Factor Models for Accurate Prediction of Missing QoS Data. IEEE Transactions on Cybernetics, 2018, 48(4): 1216-1228. IF=11.8，中科院一区，CCF-B类，谷歌学术引用243次，ESI高引 [104] Xin Luo*（罗辛）, MengChu Zhou, Shuai Li, and Mingsheng Shang. An Inherently Non-negative Latent Factor Model for High-dimensional and Sparse Matrices from Industrial Applications. IEEE Transactions on Industrial Informatics, 2018, 14 (5): 2011-2022. IF=12.3，中科院一区，谷歌学术引用193次，ESI高引 [105] Shuai Li#, MengChu Zhou*, and Xin Luo*,#（罗辛）. Modified Primal-Dual Neural Networks for Motion Control of Redundant Manipulators With Dynamic Rejection of Harmonic Noises. IEEE Transactions on Neural Networks and Learning Systems, 2018, 29(10): 4791-4801. IF=10.4，中科院一区，CCF-B类，谷歌学术引用148次 [106] Xin Luo*（罗辛）, Jianpei Sun, Zidong Wang, Shuai Li, and Mingsheng Shang. Symmetric and Non-negative Latent Factor Models for Undirected, High Dimensional and Sparse Networks in Industrial Applications. IEEE Transactions on Industrial Informatics, 2017, 13(6): 3098-3107. IF=12.3，中科院一区，谷歌学术引用145次 [107] Long Jin, Shuai Li*, Hung Manh La, and Xin Luo*,#（罗辛）. Manipulability Optimization of Redundant Manipulators Using Dynamic Neural Networks. IEEE Transactions on Industrial Electronics, 2017, 64(6): 4710-4720. IF=7.7，中科院一区，谷歌学术引用335次，ESI高引 [108] Xin Luo*（罗辛）, MengChu Zhou, Shuai Li, Zhuhong You, Yunni Xia, and Qingsheng Zhu. A Nonnegative Latent Factor Model for Large-Scale Sparse Matrices in Recommender Systems via Alternating Direction Method. IEEE Transactions on Neural Networks and Learning Systems, 2016, 27(3):524-537. IF=10.4，中科院一区，CCF-B类，谷歌学术引用315次，ESI高引 [109] Xin Luo*（罗辛）, MengChu Zhou, Yunni Xia, Qingsheng Zhu, Ahmed Chiheb Ammari, and Ahmed Alabdulwahab. Generating Highly Accurate Predictions for Missing QoS-data via Aggregating Non-negative Latent Factor Models. IEEE Transactions on Neural Networks and Learning Systems, 2016, 27(3): 579-592. IF=10.4，中科院一区，CCF-B类，谷歌学术引用256次，ESI高引 [110] Xin Luo*（罗辛）, MengChu Zhou, Yunni Xia, and Qingsheng Zhu. An Incremental-and-Static-Combined Scheme for Matrix-Factorization-Based Collaborative Filtering. IEEE Transactions on Automation Science and Engineering, 2016, 13(1): 333-343. IF=5.6，中科院一区，CCF-B类，谷歌学术引用130次 [111] Xin Luo*（罗辛）, MengChu Zhou, Shuai Li, Zhuhong You, Yunni Xia, Qingsheng Zhu, and Hareton Leung. An Efficient Second-order Approach to Factorizing Sparse Matrices in Recommender Systems. IEEE Transactions on Industrial Informatics. 2015, 11(4): 946-956. IF=12.3，中科院一区，谷歌学术引用113次 [112] Xin Luo*（罗辛）, MengChu Zhou, Yunni Xia, and Qingsheng Zhu. An Efficient Non-negative Matrix-factorization-based Approach to Collaborative-filtering for Recommender Systems. IEEE Transactions on Industrial Informatics, 2014, 10(2): 1273-1284. IF=12.3，中科院一区，谷歌学术引用693次，ESI高引 |
