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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:

Surface electromyogram, kinematic, and kinetic dataset of lower limb walking for movement intent recognition
Wenhao Wei, F.L. Tan, Hang Zhang, et al.
Scientific Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 24

Showing 24 citing articles:

Temporal-constrained parallel graph neural networks for recognizing motion patterns and gait phases in class-imbalanced scenarios
Changhe Zhang, Zidong Yu, Xiaoyun Wang, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 143, pp. 110106-110106
Closed Access | Times Cited: 1
Phasor-Based Myoelectric Synergy Features: A Fast Hand-Crafted Feature Extraction Scheme for Boosting Performance in Gait Phase Recognition
Andrea Tigrini, Rami Mobarak, Alessandro Mengarelli, et al.
Sensors (2024) Vol. 24, Iss. 17, pp. 5828-5828
Open Access | Times Cited: 8
Mapping Method of Human Arm Motion Based on Surface Electromyography Signals
Yuanyuan Zheng, Gang Zheng, Hanqi Zhang, et al.
Sensors (2024) Vol. 24, Iss. 9, pp. 2827-2827
Open Access | Times Cited: 5
Estimation of Gait Parameters for Adults with Surface Electromyogram Based on Machine Learning Models
Shing-Hong Liu, Chien‐Kun Ting, Jia-Jung Wang, et al.
Sensors (2024) Vol. 24, Iss. 3, pp. 734-734
Open Access | Times Cited: 4
Machine Learning Models for Gait Phases Detection Using Surface Electromyography Signals
Zhiyang Feng, Zhiming Jiang, Huayue Liu, et al.
Lecture notes in computer science (2025), pp. 278-289
Closed Access
A Knee Rehabilitation Exercises Dataset for Postural Assessment using Wearable Devices
Panagiotis Kasnesis, Theodora Plavoukou, Amalia Contiero Syropoulou, et al.
Scientific Data (2025) Vol. 12, Iss. 1
Open Access
Parameter identification and sensitivity analysis of a lower-limb musculoskeletal model
Jinghang Li, Keyi Wang, Yi Yuan, et al.
Frontiers in Bioengineering and Biotechnology (2025) Vol. 13
Open Access
High-density EMG, IMU, kinetic, and kinematic open-source data for comprehensive locomotion activities
Hristo Dimitrov, Anthony M. J. Bull, Dario Farina
Scientific Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 9
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: 9
Long duration multi-channel surface electromyographic signals during walking at natural pace: Data acquisition and analysis
Francesco Di Nardo, Christian Morbidoni, Grazia Iadarola, et al.
PLoS ONE (2025) Vol. 20, Iss. 2, pp. e0318560-e0318560
Open Access
Enhanced Gait Phases Recognition by EMG and Kinematics Information Fusion and a Minimal Recording Setuping Setup
Rami Mobarak, Alessandro Mengarelli, Federica Verdini, et al.
Al-Khwarizmi Engineering Journal (2024) Vol. 20, Iss. 2, pp. 89-93
Open Access | Times Cited: 2
Channel phase processing in wireless networks for human activity recognition
Guillermo Díaz, Iker Sobrón, Iñaki Eizmendi, et al.
Internet of Things (2023) Vol. 24, pp. 100960-100960
Open Access | Times Cited: 5
Dynamic graph topology generating mechanism: Framework for feature-level multimodal information fusion applied to lower-limb activity recognition
Zidong Yu, Changhe Zhang, Xiaoyun Wang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109172-109172
Closed Access | Times Cited: 1
Exploring the contribution of joint angles and sEMG signals on joint torque prediction accuracy using LSTM-based deep learning techniques
Engin Kaya, Hande Argunsah
Computer Methods in Biomechanics & Biomedical Engineering (2024), pp. 1-11
Closed Access | Times Cited: 1
PsyneuroNet architecture for multi-class prediction of neurological disorders
Kavita Rawat, Trapti Sharma
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 107080-107080
Closed Access | Times Cited: 1
Predicting hand grip force based on muscle electromyographic activity using artificial intelligence and neural networks
Jalal Abood, A. Mohammed, Safaa A. Ismaeel, et al.
International Journal of Disabilities Sports & Health Sciences (2024)
Open Access
Gait Phase Classification from sEMG in Multiple Locomotion Mode Using Deep Learning
Md. Sanzid Bin Hossain, Md. Shazid Islam, Md. Saad Ul Haque, et al.
Lecture notes in networks and systems (2024), pp. 371-383
Closed Access
A Block-Wised and Sparsely-Connected ANN for the Prediction of Human Joint Moment Based on the Improved Hill Musculoskeletal Model
Baoping Xiong, Hui Zeng, Zhenhua Gan, et al.
International Journal of Swarm Intelligence Research (2024) Vol. 15, Iss. 1, pp. 1-23
Open Access
Exploration of Adaptive sEMG Denoising and Deep Learning Paradigms and Their Application in Lower Limb Motion Recognition
Xiaoyun Wang, Changhe Zhang, Zidong Yu, et al.
2021 27th International Conference on Mechatronics and Machine Vision in Practice (M2VIP) (2024), pp. 1-6
Closed Access
Parallel Graph Neural Networks: Class-Imbalanced Gait Phase Recognition via Adaptive Fusion of Multimodal sEMG and Kinematic Data
Changhe Zhang, Xiaoyun Wang, Zidong Yu, et al.
2021 27th International Conference on Mechatronics and Machine Vision in Practice (M2VIP) (2024), pp. 1-6
Closed Access
Using Mechanomyograms for Estimating Median Frequency and Root Mean Square of Electromyograms with Hybrid Deep Neural Network and CatBoost Model
Shing-Hong Liu, Wenxi Chen, Kang-Ming Chang, et al.
IEEE Access (2024) Vol. 12, pp. 190629-190639
Open Access
AnkleImage - An ultrafast ultrasound image dataset to understand the ankle joint muscle contractility
Qiang Zhang, Noor Hakam, Oluwasegun Akinniyi, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access
Channel Phase Processing in Wireless Networks for Human Activity Recognition
Guillermo Díaz, Iker Sobrón, Iñaki Eizmendi, et al.
arXiv (Cornell University) (2023)
Open Access
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