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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:

Computer Vision and Machine Learning-Based Gait Pattern Recognition for Flat Fall Prediction
Biao Chen, Chaoyang Chen, Jie Hu, et al.
Sensors (2022) Vol. 22, Iss. 20, pp. 7960-7960
Open Access | Times Cited: 45

Showing 1-25 of 45 citing articles:

A Comprehensive Review of Vision-Based Sensor Systems for Human Gait Analysis
Xiaofeng Han, Diego Guffanti, Alberto Brunete
Sensors (2025) Vol. 25, Iss. 2, pp. 498-498
Open Access | Times Cited: 1
Estimating hip impact velocity and acceleration from video-captured falls using a pose estimation algorithm
R. Michaels, Tiago V. Barreira, Stephen N. Robinovitch, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Diagnostic and Surgical Uses of Explainable AI (XAI)
Roja Rani Budha, Sameeulla Khan, Tushar Lokhande, et al.
(2025), pp. 65-88
Closed Access
Pathological Gait Classification Using Early and Late Fusion of Foot Pressure and Skeleton Data
Muhammad Tahir Naseem, Haneol Seo, Nahyun Kim, et al.
Applied Sciences (2024) Vol. 14, Iss. 2, pp. 558-558
Open Access | Times Cited: 4
Incidence of fall-from-height injuries and predictive factors for severity
Carlos Palácio, Muhammad Darwish, Marie R. Acosta, et al.
Journal of Osteopathic Medicine (2025)
Closed Access
Cross-view identification based on gait bioinformation using a dynamic densely connected spatial-temporal feature decoupling network
Shuo Qiao, Chao Tang, Huosheng Hu, et al.
Biomedical Signal Processing and Control (2025) Vol. 104, pp. 107494-107494
Closed Access
Computational intelligence for data analysis in pattern recognition and biomedical fields
Sudha Senthilkumar, Vaishnavi Munusamy
Elsevier eBooks (2025), pp. 107-132
Closed Access
Assessment of temporospatial and kinematic gait parameters using human pose estimation in patients with Parkinson’s disease: A comparison between near-frontal and lateral views
J.S. Kim, Ryul Kim, Kyeongho Byun, et al.
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0317933-e0317933
Open Access
Discrimination of the Lame Limb in Horses Using a Machine Learning Method (Support Vector Machine) Based on Asymmetry Indices Measured by the EQUISYM System
Emma Poizat, Mahaut Gérard, Claire Macaire, et al.
Sensors (2025) Vol. 25, Iss. 4, pp. 1095-1095
Open Access
Wearable sensors and machine learning fusion-based fall risk prediction in covert cerebral small vessel disease
Yuanyuan Zhou, Dingwen Zhang, Yingxiao Ji, et al.
Frontiers in Neuroscience (2025) Vol. 19
Open Access
Explainable Siamese Neural Networks for Detection of High Fall Risk Older Adults in the Community Based on Gait Analysis
Christos Kokkotis, Kyriakos D. Apostolidis, Dimitrios Menychtas, et al.
Journal of Functional Morphology and Kinesiology (2025) Vol. 10, Iss. 1, pp. 73-73
Open Access
Volitional control of upper-limb exoskeleton empowered by EMG sensors and machine learning computing
Biao Chen, Yang Zhou, Chaoyang Chen, et al.
Array (2023) Vol. 17, pp. 100277-100277
Open Access | Times Cited: 11
Computer Vision Based Transfer Learning-Aided Transformer Model for Fall Detection and Prediction
Sheldon McCall, Shina Samuel Kolawole, Afreen Naz, et al.
IEEE Access (2024) Vol. 12, pp. 28798-28809
Open Access | Times Cited: 3
Automatic Gait Classification Model Empowered by Machine Learning for People with and without Osteoporosis Using Smart Walker
Nazia Ejaz, Saad Jawaid Khan, Fahad Azim, et al.
Applied Sciences (2024) Vol. 14, Iss. 9, pp. 3874-3874
Open Access | Times Cited: 2
Fall-related gait pattern recognition based on surface electromyography using a hybrid neural network with transfer learning
Shuo Zhang, Jin Qi, Sheng Hao, et al.
Biomedical Signal Processing and Control (2024) Vol. 98, pp. 106771-106771
Closed Access | Times Cited: 2
Estimation of Knee Assistive Moment in a Gait Cycle Using Knee Angle and Knee Angular Velocity through Machine Learning and Artificial Stiffness Control Strategy (MLASCS)
Khemwutta Pornpipatsakul, Nopdanai Ajavakom
Robotics (2023) Vol. 12, Iss. 2, pp. 44-44
Open Access | Times Cited: 5
Daily walking kinematic characteristics of the elderly in different residential settings: experimental study on Chinese community-living elderly and long-term nursing home residents
Xinrui Zhu, Jia Fan, Lingyu Kong, et al.
Aging Clinical and Experimental Research (2023) Vol. 35, Iss. 11, pp. 2531-2542
Closed Access | Times Cited: 5
Towards Kinematic Assessment of Trendelenburg Gait After Total Hip Arthroplasty Using Mocap Systems
Anna Ghidotti, Andrea Cattaneo, Andrea Vitali, et al.
Lecture notes in mechanical engineering (2024), pp. 224-232
Closed Access | Times Cited: 1
The Cadaver in the Machine: The Social Practices of Measurement and Validation in Motion Capture Technology
Emma Harvey, Hauke Sandhaus, Abigail Z. Jacobs, et al.
(2024), pp. 1-23
Open Access | Times Cited: 1
Machine Learning and Computer Visualization for Monocular Biomechanical Analysis
Sumit Chakravarty, Arun Kumar Sangaiah, Michael Hales, et al.
Wireless Personal Communications (2024) Vol. 135, Iss. 4, pp. 2131-2144
Closed Access | Times Cited: 1
A machine learning model predicts stroke associated with blood cadmium level
Wenwei Zuo, Xuelian Yang
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
A vision-based hybrid ensemble learning approach for classification of gait disorders
Navleen Kour, Sunanda Gupta, Sakshi Arora
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 1
Leather-Based Shoe Soles for Real-Time Gait Recognition and Automatic Remote Assistance Using Machine Learning
Peng Zhang, Xiaomeng Zhang, Ming Teng, et al.
ACS Applied Materials & Interfaces (2024) Vol. 16, Iss. 45, pp. 62803-62816
Closed Access | Times Cited: 1
A novel lightweight deep learning fall detection system based on global-local attention and channel feature augmentation
Yuyang Sha, Xiaobing Zhai, Junrong Li, et al.
Interdisciplinary Nursing Research (2023) Vol. 2, Iss. 2, pp. 68-75
Open Access | Times Cited: 3
CNN-Based Self-Attention Weight Extraction for Fall Event Prediction Using Balance Test Score
Youness El Marhraoui, Stéphane Bouilland, Mehdi Boukallel, et al.
Sensors (2023) Vol. 23, Iss. 22, pp. 9194-9194
Open Access | Times Cited: 2
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