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:

Lower limb movement intention recognition for rehabilitation robot aided with projected recurrent neural network
Mei Liu, Bo Peng, Mingsheng Shang
Complex & Intelligent Systems (2021) Vol. 8, Iss. 4, pp. 2813-2824
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Neural Dynamics for Computing Perturbed Nonlinear Equations Applied to ACP-Based Lower Limb Motion Intention Recognition
Long Jin, Jiachang Li, Zhongbo Sun, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2021) Vol. 52, Iss. 8, pp. 5105-5113
Closed Access | Times Cited: 48

Continuous online prediction of lower limb joints angles based on sEMG signals by deep learning approach
Qiuzhi Song, Xunju Ma, Yali Liu
Computers in Biology and Medicine (2023) Vol. 163, pp. 107124-107124
Closed Access | Times Cited: 18

Motion Pattern Recognition of Rehabilitation Robot Based on Information Flow Gain Algorithm
Hao Qian
Lecture notes in electrical engineering (2025), pp. 403-411
Closed Access

Research of intent recognition in rehabilitation robots: a systematic review
Shengli Luo, Qiaoling Meng, Sujiao Li, et al.
Disability and Rehabilitation Assistive Technology (2023) Vol. 19, Iss. 4, pp. 1307-1318
Closed Access | Times Cited: 15

Optimizing lower limb rehabilitation: the intersection of machine learning and rehabilitative robotics
Xiaoqian Zhang, Xiyin Rong, Hanwen Luo
Frontiers in Rehabilitation Sciences (2024) Vol. 5
Open Access | Times Cited: 4

Human Lower Limb Motion Intention Recognition for Exoskeletons: A Review
Linglong Li, Guang‐Zhong Cao, Hongjie Liang, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 24, pp. 30007-30036
Closed Access | Times Cited: 11

A Transformer-Based Neural Network for Gait Prediction in Lower Limb Exoskeleton Robots Using Plantar Force
Jiale Ren, Aihui Wang, Hengyi Li, et al.
Sensors (2023) Vol. 23, Iss. 14, pp. 6547-6547
Open Access | Times Cited: 9

A Review on the Effectiveness of Machine Learning and Deep Learning Algorithms for Collaborative Robot
Mohit Sajwan, Simranjit Singh
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 6, pp. 3489-3508
Closed Access | Times Cited: 8

Recognition of lower limb movements using empirical mode decomposition and k-nearest neighbor entropy estimator with surface electromyogram signals
Chunfeng Wei, Hong Wang, Yanzheng Lu, et al.
Biomedical Signal Processing and Control (2021) Vol. 71, pp. 103198-103198
Closed Access | Times Cited: 18

Decentralized Position/torque Control of Modular Robot Manipulators via Interaction Torque Estimation-based Human Motion Intention Identification
Yuexi Wang, Tianjiao An, Yiming Cui, et al.
International Journal of Control Automation and Systems (2024) Vol. 22, Iss. 5, pp. 1585-1600
Closed Access | Times Cited: 2

Modified RNN for Solving Comprehensive Sylvester Equation With TDOA Application
Jingkun Yan, Long Jin, Xin Luo, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 9, pp. 12553-12563
Closed Access | Times Cited: 5

Multi-robot competitive tracking based on k-WTA neural network with one single neuron
Bo Peng, Long Jin, Mingsheng Shang
Neurocomputing (2021) Vol. 460, pp. 1-8
Closed Access | Times Cited: 13

An Adaptive Gradient Neural Network to Solve Dynamic Linear Matrix Equations
Shan Liao, Jiayong Liu, Yimeng Qi, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2021) Vol. 52, Iss. 9, pp. 5913-5924
Closed Access | Times Cited: 13

Action recognition in rehabilitation: combining 3D convolution and LSTM with spatiotemporal attention
Fan Yang, Shiyu Li, Chang Sun, et al.
Frontiers in Physiology (2024) Vol. 15
Open Access | Times Cited: 1

A Framework and Algorithm for Human-Robot Collaboration Based on Multimodal Reinforcement Learning
Zeyuan Cai, Zhiquan Feng, Liran Zhou, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-13
Open Access | Times Cited: 4

sEMG-based multi-joints motion estimation of lower limb utilizing deep convolutional neural network
Gang Wang, Yongbai Liu, Yao Shen, et al.
2022 IEEE International Conference on Real-time Computing and Robotics (RCAR) (2022), pp. 13-18
Closed Access | Times Cited: 3

A Novel F-SVM based on PSO for Gait Phase Recognition in Lower Limb Exoskeleton
Pingping Lv, Chi Zhang, Yi Feng, et al.
2022 IEEE 17th Conference on Industrial Electronics and Applications (ICIEA) (2023), pp. 1378-1383
Closed Access | Times Cited: 1

Decentralized robust interaction control of modular robot manipulators via harmonic drive compliance model-based human motion intention identification
Bo Dong, Yuexi Wang, Jingchen Chen, et al.
Complex & Intelligent Systems (2022) Vol. 9, Iss. 2, pp. 1247-1263
Open Access | Times Cited: 2

Extraction and Analysis of Foot Bone Shape Features Based on Deep Learning
Yue Ma, Zhuangzhi Zhi
Computational and Mathematical Methods in Medicine (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 2

Design and Implementation of Bionic Flying Fish with Applications
Haifeng Cai, Mei Liu, Dan Su
Advances in intelligent systems and computing (2021), pp. 227-232
Closed Access | Times Cited: 1

Neuro-Identifier for the Musculoskeletal System of the Upper-Limb to Map Electromyographic Signals to Inverse Kinematics
Ulises Villela, Manuela Gómez-Correa, Mariana Ballesteros, et al.
(2023), pp. 296-301
Closed Access

Discrete-Time Recurrent Neural Network for Solving Multi-linear $$\mathcal {M}$$-tensor Equation
Huanmei Wu, Shuqiao Wang, Xiujuan Du, et al.
Advances in intelligent systems and computing (2021), pp. 131-143
Closed Access

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