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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:

Adaptive reinforcement learning in control design for cooperating manipulator systems
Đào Phương Nam, Yen‐Chen Liu
Asian Journal of Control (2022) Vol. 24, Iss. 3, pp. 1088-1103
Closed Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

Formation control scheme with reinforcement learning strategy for a group of multiple surface vehicles
Xuan Khai Nguyen, Van Trong Dang, Dinh Duong Pham, et al.
International Journal of Robust and Nonlinear Control (2023) Vol. 34, Iss. 3, pp. 2252-2279
Closed Access | Times Cited: 30
Nonlinear RISE based integral reinforcement learning algorithms for perturbed Bilateral Teleoperators with variable time delay
Đào Phương Nam, V. Q. Nguyen, Hoang Anh Nguyen Duc
Neurocomputing (2024) Vol. 605, pp. 128355-128355
Closed Access | Times Cited: 8
Neural network compensator-based robust iterative learning control scheme for mobile robots nonlinear systems with disturbances and uncertain parameters
Zhengquan Chen, Yandong Hou, Ruirui Huang, et al.
Applied Mathematics and Computation (2024) Vol. 469, pp. 128549-128549
Closed Access | Times Cited: 7
Adaptive optimal coordination control of perturbed Bilateral Teleoperators with variable time delays using Actor-Critic Reinforcement Learning algorithm
Đào Phương Nam, Quang Phat Nguyen, Manh-Hung Vu
Mathematics and Computers in Simulation (2024)
Closed Access | Times Cited: 5
Fixed‐Time ESO‐Based Reinforcement Learning for Manipulator Time‐Delay System
Hao Yuan, Meng Zhao, Liang Cao
Optimal Control Applications and Methods (2025)
Closed Access
Deep Reinforcement Learning for Integrated Non-Linear Control of Autonomous UAVs
Adnan Fayyaz Ud Din, Imran Mir, Faiza Gul, et al.
Processes (2022) Vol. 10, Iss. 7, pp. 1307-1307
Open Access | Times Cited: 27
Review of Research Advances in Fruit and Vegetable Harvesting Robots
Xu Xiao, Yaonan Wang, Yiming Jiang
Journal of Electrical Engineering and Technology (2023) Vol. 19, Iss. 1, pp. 773-789
Closed Access | Times Cited: 14
Nonlinear robust integral based actor–critic reinforcement learning control for a perturbed three-wheeled mobile robot with mecanum wheels
Đào Phương Nam, Minh Hiep Phung
Computers & Electrical Engineering (2024) Vol. 121, pp. 109870-109870
Closed Access | Times Cited: 4
Multirobot collaborative task dynamic scheduling based on multiagent reinforcement learning with heuristic graph convolution considering robot service performance
Jian Zhou, Lianyu Zheng, Wei Fan
Journal of Manufacturing Systems (2023) Vol. 72, pp. 122-141
Closed Access | Times Cited: 12
Manipulator trajectory tracking based on adaptive fuzzy sliding mode control
Haoyi Zhao, Bo Tao, Ruyi Ma, et al.
Concurrency and Computation Practice and Experience (2023) Vol. 35, Iss. 8
Closed Access | Times Cited: 8
Spatiotemporal path tracking via deep reinforcement learning of robot for manufacturing internal logistics
Fei Fan, Guang-lin Xu, Na Feng, et al.
Journal of Manufacturing Systems (2023) Vol. 69, pp. 150-169
Closed Access | Times Cited: 8
A robust distributed model predictive control strategy for Leader - Follower formation control of multiple perturbed wheeled mobile robotics
Thanh Long Nguyen, Xuan Sinh, Đào Phương Nam
European Journal of Control (2024), pp. 101160-101160
Closed Access | Times Cited: 2
Multi‐AGV route planning in automated warehouse system based on shortest‐time Q‐learning algorithm
Zheng Zhang, Juan Chen, Wenbing Zhao
Asian Journal of Control (2023) Vol. 26, Iss. 2, pp. 683-702
Closed Access | Times Cited: 5
Combining transformer based deep reinforcement learning with Black-Litterman model for portfolio optimization
Ruoyu Sun, Angelos Stefanidis, Zhengyong Jiang, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 32, pp. 20111-20146
Closed Access | Times Cited: 1
Adaptive sliding mode control of robotic manipulator based on reinforcement learning
Ziwu Ren, Jie Chen, Yunxi Miao, et al.
Asian Journal of Control (2024) Vol. 26, Iss. 5, pp. 2703-2718
Closed Access | Times Cited: 1
Hybrid neural network-based fractional-order sliding mode controller for tracking control problem of reconfigurable robot manipulators using fast terminal type switching law
Km Shelly Chaudhary, Naveen Kumar
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109515-109515
Closed Access | Times Cited: 1
Research on the Multiobjective and Efficient Ore-Blending Scheduling of Open-Pit Mines Based on Multiagent Deep Reinforcement Learning
Zhidong Feng, Ge Liu, Luofeng Wang, et al.
Sustainability (2023) Vol. 15, Iss. 6, pp. 5279-5279
Open Access | Times Cited: 4
Research on dynamic decision-making for product assembly sequence based on Connector-Linked Model and deep reinforcement learning
Kai Guo, Rui Liu, Guijiang Duan, et al.
Journal of Manufacturing Systems (2023) Vol. 71, pp. 451-473
Closed Access | Times Cited: 3
Event-based decentralized adaptive finite-time tracking control of interconnected nonlinear time-varying systems
Sheng-Nan Shi, Yuan‐Xin Li, Shaocheng Tong
Nonlinear Dynamics (2022) Vol. 111, Iss. 4, pp. 3479-3495
Closed Access | Times Cited: 5
Neural‐based online finite‐time optimal tracking control for wheeled mobile robotic system with inequality constraints
Liang Ding, Miao Zheng, Shu Li, et al.
Asian Journal of Control (2023) Vol. 26, Iss. 1, pp. 297-311
Closed Access | Times Cited: 2
Deterministic reinforcement learning for optimized formation control of virtually-coupled trains via performance index monitor
Shigen Gao, Chaoan Xu, Hang Zhang, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121421-121421
Closed Access | Times Cited: 2
Model-based learning on state-based potential games for distributed self-optimization of manufacturing systems
Steve Yuwono, Andreas Schwung
Journal of Manufacturing Systems (2023) Vol. 71, pp. 474-493
Closed Access | Times Cited: 2
A Reinforcement Learning Method for Control Scheme of Permanent Magnet Synchronous Motor
Xuan Khanh Tran, Duy Tung Le, Duc Thuan Tran, et al.
Lecture notes in networks and systems (2024), pp. 121-126
Closed Access
Selection of waste receiving companies for sustainable industrial symbiosis network: an application a case in Ankara for foundry industry waste
Emre YAZICI, Hacı Mehmet Alakaş, Tamer Eren
Neural Computing and Applications (2024) Vol. 36, Iss. 21, pp. 13009-13026
Open Access
Quantized Iterative Learning Bipartite Containment Tracking Control for Unknown Nonlinear Multi-agent Systems
Ruikun Zhang, Shangyu Sang, Jingyuan Zhang, et al.
Neural Processing Letters (2024) Vol. 56, Iss. 3
Open Access
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