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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:

Predicting Transitioning Walking Gaits: Hip and Knee Joint Trajectories From the Motion of Walking Canes
A. Mounir Boudali, Peter J. Sinclair, Ian R. Manchester
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2019) Vol. 27, Iss. 9, pp. 1791-1800
Closed Access | Times Cited: 14

Showing 14 citing articles:

Systematic Review of Intelligent Algorithms in Gait Analysis and Prediction for Lower Limb Robotic Systems
Rania Kolaghassi, Mohamad Kenan Al-Hares, Konstantinos Sirlantzis
IEEE Access (2021) Vol. 9, pp. 113788-113812
Open Access | Times Cited: 37
Evaluation of classification performance in human lower limb jump phases of signal correlation information and LSTM models
Yanzheng Lu, Hong Wang, Yangyang Qi, et al.
Biomedical Signal Processing and Control (2020) Vol. 64, pp. 102279-102279
Closed Access | Times Cited: 35
Effective recognition of human lower limb jump locomotion phases based on multi-sensor information fusion and machine learning
Yanzheng Lu, Hong Wang, Fo Hu, et al.
Medical & Biological Engineering & Computing (2021) Vol. 59, Iss. 4, pp. 883-899
Closed Access | Times Cited: 31
Real-Time Activity Recognition With Instantaneous Characteristic Features of Thigh Kinematics
Shihao Cheng, Edgar Bolívar, Robert D. Gregg
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2021) Vol. 29, pp. 1827-1837
Open Access | Times Cited: 30
Prediction of Contralateral Lower-Limb Joint Angles Using Vibroarthrography and Surface Electromyography Signals in Time-Series Network
Can Wang, Bailin He, Wenhao Wei, et al.
IEEE Transactions on Automation Science and Engineering (2022) Vol. 20, Iss. 2, pp. 901-908
Closed Access | Times Cited: 20
Motion Trajectories Prediction of Lower Limb Exoskeleton Based on Long Short-Term Memory (LSTM) Networks
Bin Ren, Zhiqiang Zhang, Chi Zhang, et al.
Actuators (2022) Vol. 11, Iss. 3, pp. 73-73
Open Access | Times Cited: 18
Deep Learning for Quantified Gait Analysis: A Systematic Literature Review
Adil Khan, Omar Galarraga, Sonia Garcia-Salicetti, et al.
IEEE Access (2024) Vol. 12, pp. 138932-138957
Open Access | Times Cited: 3
Synergetic gait prediction and compliant control of SEA-driven knee exoskeleton for gait rehabilitation
Haojie Liu, Chang Zhu, Zude Zhou, et al.
Frontiers in Bioengineering and Biotechnology (2024) Vol. 12
Open Access | Times Cited: 2
Deep Learning Approaches for Enhanced Lower-Limb Exoskeleton Control: A Review
Mohammad Belal, Nael Alsheikh, Ahmad Aljarah, et al.
IEEE Access (2024) Vol. 12, pp. 143883-143907
Open Access | Times Cited: 2
Artificial‐Intelligence‐Powered Lower Limb Assistive Devices: Future of Home Care Technologies
Javad K. Mehr, Mojtaba Akbari, Pouria Faridi, et al.
Advanced Intelligent Systems (2023) Vol. 5, Iss. 6
Open Access | Times Cited: 5
A Deep Learning Model with a Self-Attention Mechanism for Leg Joint Angle Estimation across Varied Locomotion Modes
Guanlin Ding, Ioannis Georgilas, Andrew Plummer
Sensors (2023) Vol. 24, Iss. 1, pp. 211-211
Open Access | Times Cited: 5
Hip Joint Trajectory Generation Based on Human Limb Motion Synergy
Yuge Li, Chunjing Tao, Enkai Wang, et al.
2022 International Conference on Advanced Robotics and Mechatronics (ICARM) (2022), pp. 308-313
Closed Access | Times Cited: 3
Contracting Implicit Recurrent Neural Networks: Stable Models with Improved Trainability
Max Revay, Ian R. Manchester
arXiv (Cornell University) (2019)
Closed Access | Times Cited: 1
Admittance Control based Hemiplegic Exoskeleton Motion Control
Bailin He, Xin Zhou, Yaping Huai, et al.
2022 IEEE International Conference on Real-time Computing and Robotics (RCAR) (2022), pp. 331-336
Closed Access
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