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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:

Human–robot interactive control based on reinforcement learning for gait rehabilitation training robot
Bingjing Guo, Jianhai Han, Xiangpan Li, et al.
International Journal of Advanced Robotic Systems (2019) Vol. 16, Iss. 2
Open Access | Times Cited: 46

Showing 1-25 of 46 citing articles:

Review of control strategies for lower-limb exoskeletons to assist gait
Romain Baud, Ali Reza Manzoori, Auke Jan Ijspeert, et al.
Journal of NeuroEngineering and Rehabilitation (2021) Vol. 18, Iss. 1
Open Access | Times Cited: 217
High‐Performance Hydrogel Sensors Enabled Multimodal and Accurate Human–Machine Interaction System for Active Rehabilitation
Hao Wang, Qiongling Ding, Yibing Luo, et al.
Advanced Materials (2023) Vol. 36, Iss. 11
Closed Access | Times Cited: 99
From sensing to control of lower limb exoskeleton: a systematic review
Yuanxi Sun, Yuntao Tang, Zheng Jia, et al.
Annual Reviews in Control (2022) Vol. 53, pp. 83-96
Closed Access | Times Cited: 76
Lower limb exoskeleton robot and its cooperative control: A review, trends, and challenges for future research
Gilbert Masengo, Xiaodong Zhang, Runlin Dong, et al.
Frontiers in Neurorobotics (2023) Vol. 16
Open Access | Times Cited: 46
AI-based methodologies for exoskeleton-assisted rehabilitation of the lower limb: a review
Omar Coser, Christian Tamantini, Paolo Soda, et al.
Frontiers in Robotics and AI (2024) Vol. 11
Open Access | Times Cited: 16
Robust walking control of a lower limb rehabilitation exoskeleton coupled with a musculoskeletal model via deep reinforcement learning
Shuzhen Luo, Ghaith J. Androwis, Sergei Adamovich, et al.
Journal of NeuroEngineering and Rehabilitation (2023) Vol. 20, Iss. 1
Open Access | Times Cited: 29
Interactive Control of Lower Limb Exoskeleton Robots: A Review
Yue-Peng Zhang, Guang‐Zhong Cao, Linglong Li, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 5, pp. 5759-5784
Closed Access | Times Cited: 12
Review on Control Strategies for Lower Limb Rehabilitation Exoskeletons
Wenzhou Li, Guang‐Zhong Cao, Aibin Zhu
IEEE Access (2021) Vol. 9, pp. 123040-123060
Open Access | Times Cited: 54
Human-in-the-Loop Optimization of Wearable Robotic Devices to Improve Human–Robot Interaction: A Systematic Review
María Alejandra Díaz, Matthias Voß, Arnau Dillen, et al.
IEEE Transactions on Cybernetics (2022) Vol. 53, Iss. 12, pp. 7483-7496
Closed Access | Times Cited: 35
Advancements in Sensor Technologies and Control Strategies for Lower-Limb Rehabilitation Exoskeletons: A Comprehensive Review
Yumeng Yao, Dongqing Shao, Marco Tarabini, et al.
Micromachines (2024) Vol. 15, Iss. 4, pp. 489-489
Open Access | Times Cited: 5
Advancing healthcare: Reinforcement learning applications for personalized healthcare
Mehdy Roayaei, Zahra Soltani
Elsevier eBooks (2025), pp. 33-86
Closed Access
AI-computing, deep reinforcement learning-based predictive human-robot neuromechanical simulation for wearable robots
Mingyi Wang, Shuzhen Luo
Applied Intelligence (2025) Vol. 55, Iss. 6
Closed Access
Active Disturbance Rejection Control Based on Twin-Delayed Deep Deterministic Policy Gradient for an Exoskeleton
Li Zhong, Xiaorong Guan, Chunyang Liu, et al.
Journal of Bionic Engineering (2025)
Closed Access
Optimization of Structural Parameters and Mechanical Performance Analysis of a Novel Redundant Actuation Rehabilitation Training Robot
Junyu Wu, He Wang, Yubin Liu, et al.
Biomimetics (2025) Vol. 10, Iss. 4, pp. 199-199
Open Access
A model-free deep reinforcement learning approach for control of exoskeleton gait patterns
Lowell Rose, Michael C.F. Bazzocchi, Goldie Nejat
Robotica (2021) Vol. 40, Iss. 7, pp. 2189-2214
Closed Access | Times Cited: 28
Gait Recognition for Lower Limb Exoskeletons Based on Interactive Information Fusion
Wei Chen, Jun Li, Shanying Zhu, et al.
Applied Bionics and Biomechanics (2022) Vol. 2022, pp. 1-19
Open Access | Times Cited: 18
Actuators and transmission mechanisms in rehabilitation lower limb exoskeletons: a review
Norazam Aliman, Rizauddin Ramli, Mohammad Soleimani Amiri
Biomedical Engineering / Biomedizinische Technik (2024) Vol. 69, Iss. 4, pp. 327-345
Open Access | Times Cited: 3
End-to-End Deep Reinforcement Learning for Exoskeleton Control
Lowell Rose, Michael C.F. Bazzocchi, Goldie Nejat
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (2020), pp. 4294-4301
Closed Access | Times Cited: 19
Learning a Control Policy for Fall Prevention on an Assistive Walking Device
Visak Kumar, Sehoon Ha, Gregory S. Sawicki, et al.
(2020), pp. 4833-4840
Open Access | Times Cited: 16
Lw-CNN-Based Myoelectric Signal Recognition and Real-Time Control of Robotic Arm for Upper-Limb Rehabilitation
Benzhen Guo, Yanli Ma, Jingjing Yang, et al.
Computational Intelligence and Neuroscience (2020) Vol. 2020, pp. 1-12
Open Access | Times Cited: 16
Rehabilitation robot following motion control algorithm based on human behavior intention
Mingda Miao, Xue shan Gao, Jun Zhao, et al.
Applied Intelligence (2022) Vol. 53, Iss. 6, pp. 6324-6343
Open Access | Times Cited: 10
Meta-Optimization of Bias-Variance Trade-Off in Stochastic Model Learning
Takumi Aotani, Taisuke Kobayashi, Kenji Sugimoto
IEEE Access (2021) Vol. 9, pp. 148783-148799
Open Access | Times Cited: 13
An Image-Based Interactive Training Method of an Upper Limb Rehabilitation Robot
Changlong Ye, Zun Wang, Suyang Yu, et al.
Machines (2024) Vol. 12, Iss. 5, pp. 348-348
Open Access | Times Cited: 1
A 4-DOF Workspace Lower Limb Rehabilitation Robot: Mechanism Design, Human Joint Analysis and Trajectory Planning
Hongbo Wang, Musong Lin, Zhennan Jin, et al.
Applied Sciences (2020) Vol. 10, Iss. 13, pp. 4542-4542
Open Access | Times Cited: 11
Event‐trigger‐based approximate optimal control of modular robot manipulators using zero‐sum game
Bo Dong, Jingchen Chen, Qiang Pan, et al.
Optimal Control Applications and Methods (2022) Vol. 43, Iss. 5, pp. 1328-1342
Closed Access | Times Cited: 7
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