OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

A one-layer recurrent neural network for nonsmooth pseudoconvex optimization with quasiconvex inequality and affine equality constraints
Na Liu, Jun Wang, Sitian Qin
Neural Networks (2021) Vol. 147, pp. 1-9
Closed Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

A fractional gradient descent algorithm robust to the initial weights of multilayer perceptron
Xuetao Xie, Yi‐Fei Pu, Jian Wang
Neural Networks (2022) Vol. 158, pp. 154-170
Closed Access | Times Cited: 71

A Survey of Neurodynamic Optimization
Youshen Xia, Qingshan Liu, Jun Wang, et al.
IEEE Transactions on Emerging Topics in Computational Intelligence (2024) Vol. 8, Iss. 4, pp. 2677-2696
Closed Access | Times Cited: 10

Collaborative Neural Solution for Time-Varying Nonconvex Optimization With Noise Rejection
Lin Wei, Long Jin
IEEE Transactions on Emerging Topics in Computational Intelligence (2024) Vol. 8, Iss. 4, pp. 2935-2948
Closed Access | Times Cited: 9

Cardinality-constrained portfolio selection via two-timescale duplex neurodynamic optimization
Man-Fai Leung, Jun Wang, Hangjun Che
Neural Networks (2022) Vol. 153, pp. 399-410
Open Access | Times Cited: 32

Sparse signal reconstruction via collaborative neurodynamic optimization
Hangjun Che, Jun Wang, Andrzej Cichocki
Neural Networks (2022) Vol. 154, pp. 255-269
Closed Access | Times Cited: 25

Neurodynamic optimization approaches with finite/fixed-time convergence for absolute value equations
Xingxing Ju, Xinsong Yang, Gang Feng, et al.
Neural Networks (2023) Vol. 165, pp. 971-981
Closed Access | Times Cited: 13

A smooth gradient approximation neural network for general constrained nonsmooth nonconvex optimization problems
Na Liu, Wenwen Jia, Sitian Qin
Neural Networks (2025) Vol. 184, pp. 107121-107121
Closed Access

A reformulation neurodynamic algorithm for distributed nonconvex optimization
Xin Yu, Qingzhou Huang, Rong Lin
Neurocomputing (2025), pp. 130023-130023
Closed Access

A Survey of Neurodynamic Approach for Nonconvex Optimization Problems
Mengxin Wang, Sitian Qin
Elsevier eBooks (2025)
Closed Access

Two-timescale projection neural networks in collaborative neurodynamic approaches to global optimization and distributed optimization
Banghua Huang, Yang Liu, Yunliang Jiang, et al.
Neural Networks (2023) Vol. 169, pp. 83-91
Open Access | Times Cited: 9

A framework for controllable Pareto front learning with completed scalarization functions and its applications
Tran Anh Tuan, Long P. Hoang, Dung D. Le, et al.
Neural Networks (2023) Vol. 169, pp. 257-273
Open Access | Times Cited: 8

PSO Based Fuzzy Logic Controller for Load Frequency Control in EV Charging Station
J. C. Vinitha, Geetha Ramadas, P. Usha Rani
Journal of Electrical Engineering and Technology (2023) Vol. 19, Iss. 1, pp. 193-208
Closed Access | Times Cited: 7

Inverse-free zeroing neural network for time-variant nonlinear optimization with manipulator applications
Jielong Chen, Yan Pan, Yunong Zhang, et al.
Neural Networks (2024) Vol. 178, pp. 106462-106462
Closed Access | Times Cited: 2

An inertial neural network approach for loco-manipulation trajectory tracking of mobile robot with redundant manipulator
Chentao Xu, Miao Wang, Guoyi Chi, et al.
Neural Networks (2022) Vol. 155, pp. 215-223
Closed Access | Times Cited: 10

Neurodynamics-driven portfolio optimization with targeted performance criteria
Jun Wang, Gan Xin
Neural Networks (2022) Vol. 157, pp. 404-421
Open Access | Times Cited: 10

Boolean matrix factorization based on collaborative neurodynamic optimization with Boltzmann machines
Xinqi Li, Jun Wang, Sam Kwong
Neural Networks (2022) Vol. 153, pp. 142-151
Closed Access | Times Cited: 9

CCGnet: A deep learning approach to predict Nash equilibrium of chance-constrained games
Dawen Wu, Abdel Lisser
Information Sciences (2023) Vol. 627, pp. 20-33
Open Access | Times Cited: 5

A novel fixed-time error-monitoring neural network for solving dynamic quaternion-valued Sylvester equations
Lin Xiao, Penglin Cao, Zidong Wang, et al.
Neural Networks (2023) Vol. 170, pp. 494-505
Closed Access | Times Cited: 5

Solving large-scale variational inequalities with dynamically adjusting initial condition in physics-informed neural networks
Dawen Wu, Ludovic Chamoin, Abdel Lisser
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 429, pp. 117156-117156
Closed Access | Times Cited: 1

A Hyper-Transformer model for Controllable Pareto Front Learning with Split Feasibility Constraints
Tran Anh Tuan, Nguyễn Việt Dũng, Tran Ngoc Thang
Neural Networks (2024) Vol. 179, pp. 106571-106571
Open Access | Times Cited: 1

A Recurrent Neural Network Approach for Constrained Distributed Fuzzy Convex Optimization
Jingxin Liu, Xiaofeng Liao, Jin Song Dong
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 7, pp. 9743-9757
Closed Access | Times Cited: 3

Neuro‐PINN: A hybrid framework for efficient nonlinear projection equation solutions
Dawen Wu, Abdel Lisser
International Journal for Numerical Methods in Engineering (2023) Vol. 125, Iss. 5
Open Access | Times Cited: 3

Neurodynamics-driven holistic approaches to semi-supervised feature selection
Yadi Wang, Jun Wang
Neural Networks (2022) Vol. 157, pp. 377-386
Open Access | Times Cited: 5

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