[1] guang-yong chen（陈光永）, xiang-xiang su; min gan; wenzhong guo; c. l. philip chen; robust variable projection algorithm for the identification of separable nonlinear models, ieee transactions on automatic control, 2024, in press. doi: 10.1109/tac.2024.3376315（中科院一区sci期刊论文，自动化领域旗舰刊物，if: 6.8）
[2] guang-yong chen（陈光永）, min gan, jing chen, and long chen. embedded point iteration based recursive algorithm for online identification of nonlinear regression models. ieee transactions on automatic control, 2023, 68(7): 4257-4264. （中科院一区sci期刊论文，自动化领域旗舰刊物，if: 6.8）
[3] jian-nan su, min gan, guang-yong chen (陈光永，通讯作者), jia-li yin, and c. l. philip chen. global learnable attention for single image super-resolution. ieee transactions on pattern analysis and machine intelligence, 2023, 45(7): 8453-8465. (中科院一区sci期刊论文，ccf-a期刊，if: 23.6)
[4] guang-yong chen(陈光永), wu-ding weng, jian-nan su, min gan, cl philip chen. dynamic degradation intensity estimation for adaptive blind super-resolution: a novel approach and benchmark dataset. ieee transactions on circuits and systems for video technology, 2023, in press. doi: . (中科院一区sci期刊论文，if: 8.4)
[5] jian-nan su, min gan, guang-yong chen(陈光永, 通讯作者), wenzhong guo, cl philip chen. .ieee transactions on image processing, 2023, in press. doi: . (中科院一区sci期刊论文，ccf-a，if: 10.6)
[6] guang-yong chen(陈光永), hui-lang xu, min gan, c. l. philip chen. a variable projection-based algorithm for fault detection and diagnosis. ieee transactions on instrumentation and measurement, 2023, in press. doi: 10.1109/tim.2023.3298636. （中科院二区sci期刊论文，if：5.6）
[7] guang-yong chen(陈光永)，min gan, and c. l. philip chen. online identification of nonlinear system with separable structure. ieee transactions on neural networks and learning systems, 2022, in press. doi:10.1109/tnnls.2022.3215756. (中科院一区sci期刊论文，if: 14.255)
[8] guang-yong chen(陈光永), min gan, c. l. philip chen, hong-tao zhu, and long chen. frequency principle in broad learning system. ieee transactions on neural networks and learning systems, 2022, 33(11): 6983-6989（中科院一区sci期刊论文，if: 14.255）
[9] guang-yong chen (陈光永), min gan, hong-tao zhu, long chen, c. l. philip chen. an iterative implementation of variable projection for separable nonlinear optimization problems. ieee transactions on system, man, and cybernetics: systems, 2022, 52(11): 7259-7267. (中科院一区sci期刊论文，if: 13.451)
[10] min gan, hong-tao zhu, guang-yong chen (陈光永，通讯作者), c. l. philip chen. weighted generalized cross validation based regularization for broad learning system. ieee transactions on cybernetics, 2022, 52(5): 4064-4072. (中科院一区sci期刊论文，if: 11.448)
[11] long chen, jia-bing chen, guang-yong chen (陈光永，通讯作者), min gan, and c. l. philip chen. nuisance parameter estimation algorithms for separable nonlinear models. ieee transactions on system, man, and cybernetics: systems, 2022, 52(11): 7236-7247. (中科院一区sci期刊论文，if: 13.451)
[12] jia chen, min gan, guang-yong chen (陈光永，通讯作者), c. l. philip chen. constrained variable projection optimization for stationary rbf-ar models. ieee transactions on systems, man, and cybernetics: systems, 2022，52(3): 1882-1890. (中科院一区sci期刊论文，if: 13.451)
[13] guang-yong chen (陈光永), min gan, c. l. philip chen, and han-xiong li. basis function matrix based flexible coefficient autoregressive models: a framework for time series and nonlinear system modeling.ieee transactions on cybernetics, 2021, 51(2): 614-623. （中科院一区sci期刊论文，if: 11.448）
[14] guang-yong chen (陈光永), min gan, shu-qiang wang, and c. l. philip chen. insights into algorithms for separable nonlinear least squares problems. ieee transactions on image processing, 2021, 30: 1207-1218. (中科院一区sci期刊论文，ccf-a期刊，if: 9.34)
[15] min gan, yu guan, guang-yong chen (陈光永，通讯作者), c. l. philip chen. recursive variable projection algorithm for a class of separable nonlinear models. ieee transactions on neural network and learning systems, 2021, 32(11): 4971 - 4982. (中科院一区sci期刊论文，if: 10.451)
[16] min gan, guang-yong chen (陈光永，通讯作者), long chen, c. l. philip chen. term selection for a class of separable nonlinear models. ieee transactions on neural networks and learning systems. 2020, 31(2), 445-451.（中科院一区sci期刊论文，if: 10.451）
[17] guang-yong chen(陈光永), min gan, feng ding, c. l. philip chen. modified gram-schmidt method-based variable projection algorithm for separable nonlinear problems. ieee transactions on neural networks and learning systems, 2019, 30(8): 2410-2418.（中科院一区sci期刊论文，if: 10.451）
[18] guang-yong chen(陈光永), min gan, c. l. philip chen, han-xiong li. a regularized variable projection algorithm for separable nonlinear least squares problems. ieee transactions on automatic control，2019, 64(2): 526-537. （中科院一区sci期刊论文，自动化领域旗舰刊物，if: 6.8）
[19] min gan, xiao xian chen, feng ding, guang-yong chen (陈光永，通讯作者), and c. l. philip chen. adaptive rbf-ar models based on multi-innovation least squares method. ieee signal processing letters, 2019, 26(8): 1182-1186. (中科院二区sci期刊论文，if: 3.9)
[20] min gan, guang-yong chen (陈光永，通讯作者), and c. l. philip chen. on some separated algorithms for separable nonlinear least squares problems. ieee transactions on cybernetics, 2019, 48(10): 2866-2874.（中科院一区sci期刊论文， if: 11.448)
