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 Multi-Joint Continuous Motion Estimation Method of Lower Limb Using Least Squares Support Vector Machine and Zeroing Neural Network based on sEMG signals
Zhongbo Sun, Xin Zhang, Keping Liu, et al.
Neural Processing Letters (2022) Vol. 55, Iss. 3, pp. 2867-2884
Closed Access | Times Cited: 7

Showing 7 citing articles:

A Minimal and Multi-Source Recording Setup for Ankle Joint Kinematics Estimation During Walking Using Only Proximal Information From Lower Limb
Rami Mobarak, Andrea Tigrini, Federica Verdini, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 812-821
Open Access | Times Cited: 21

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

Multijoint Continuous Motion Estimation for Human Lower Limb Based on Surface Electromyography
Yonglin Han, Tao Qing, Xiaodong Zhang
Sensors (2025) Vol. 25, Iss. 3, pp. 719-719
Open Access

Interpretable Dual-branch EMGNet: A transfer learning-based network for inter-subject lower limb motion intention recognition
Changhe Zhang, Xiaoyun Wang, Zidong Yu, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 130, pp. 107761-107761
Closed Access | Times Cited: 8

Neuromechanical-Driven Ankle Angular Position Control During Gait Using Minimal Setup and LSTM Model
Rami Mobarak, Alessandro Mengarelli, Federica Verdini, et al.
2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA) (2024), pp. 1-6
Closed Access | Times Cited: 2

Enhancing sEMG-Based Finger Motion Prediction with CNN-LSTM Regressors for Controlling a Hand Exoskeleton
Mirco Vangi, Chiara Brogi, Alberto Topini, et al.
Machines (2023) Vol. 11, Iss. 7, pp. 747-747
Open Access | Times Cited: 6

Toward a Minimal sEMG Setup for Knee and Ankle Kinematic Estimation during Gait
Alessandro Mengarelli, Federica Verdini, Ali H. Al‐Timemy, et al.
(2023), pp. 293-298
Closed Access | Times Cited: 3

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