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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:

Vision-based gait impairment analysis for aided diagnosis
Javier Ortells, María Trinidad Herrero, Ramón A. Mollineda
Medical & Biological Engineering & Computing (2018) Vol. 56, Iss. 9, pp. 1553-1564
Closed Access | Times Cited: 52

Showing 1-25 of 52 citing articles:

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: 49
Detection and assessment of Parkinson's disease based on gait analysis: A survey
Yao Guo, Jianxin Yang, Yuxuan Liu, et al.
Frontiers in Aging Neuroscience (2022) Vol. 14
Open Access | Times Cited: 41
Automatic Classification of Gait Impairments Using a Markerless 2D Video-Based System
Tanmay Tulsidas Verlekar, Luís Ducla Soares, Paulo Lobato Correia
Sensors (2018) Vol. 18, Iss. 9, pp. 2743-2743
Open Access | Times Cited: 54
Computer-Vision Based Diagnosis of Parkinson’s Disease via Gait: A Survey
Navleen Kour, Sunanda Sunanda, Sakshi Arora
IEEE Access (2019) Vol. 7, pp. 156620-156645
Open Access | Times Cited: 50
Recent use of deep learning techniques in clinical applications based on gait: a survey
Yume Matsushita, Dinh Tuan Tran, Hirotake Yamazoe, et al.
Journal of Computational Design and Engineering (2021) Vol. 8, Iss. 6, pp. 1499-1532
Open Access | Times Cited: 33
An Intelligent In-Shoe System for Gait Monitoring and Analysis with Optimized Sampling and Real-Time Visualization Capabilities
Jiaen Wu, Kiran Kuruvithadam, Alessandro Schaer, et al.
Sensors (2021) Vol. 21, Iss. 8, pp. 2869-2869
Open Access | Times Cited: 28
A Spatiotemporal Deep Learning Approach for Automatic Pathological Gait Classification
Pedro Albuquerque, Tanmay Tulsidas Verlekar, Paulo Lobato Correia, et al.
Sensors (2021) Vol. 21, Iss. 18, pp. 6202-6202
Open Access | Times Cited: 25
Computational intelligence for data analysis in pattern recognition and biomedical fields
Sudha Senthilkumar, Vaishnavi Munusamy
Elsevier eBooks (2025), pp. 107-132
Closed Access
A lightweight approach to gait abnormality detection for At Home health monitoring
Chris Lochhead, Robert B. Fisher
Computers in Biology and Medicine (2025) Vol. 190, pp. 110076-110076
Open Access
CRA-Net: Cross reverse attention network for classification of neuro-degenerative diseases based on gait analysis
Deepika Bodepu, Muhammad Junaid, Sandeep Madarapu, et al.
Biomedical Signal Processing and Control (2025) Vol. 108, pp. 107886-107886
Closed Access
Vision-based approach to knee osteoarthritis and Parkinson’s disease detection utilizing human gait patterns
Zeeshan Ali, Jihoon Moon, Saira Gillani, et al.
PeerJ Computer Science (2025) Vol. 11, pp. e2857-e2857
Open Access
Using transfer learning for classification of gait pathologies
Tanmay Tulsidas Verlekar, Paulo Lobato Correia, Luís Ducla Soares
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2018), pp. 2376-2381
Open Access | Times Cited: 32
Remote Gait Type Classification System Using Markerless 2D Video
Pedro Albuquerque, João Pedro Machado, Tanmay Tulsidas Verlekar, et al.
Diagnostics (2021) Vol. 11, Iss. 10, pp. 1824-1824
Open Access | Times Cited: 20
Human fall detection and activity monitoring: a comparative analysis of vision-based methods for classification and detection techniques
Shikha Rastogi, Jaspreet Singh
Soft Computing (2022) Vol. 26, Iss. 8, pp. 3679-3701
Closed Access | Times Cited: 13
Multi-Set Canonical Correlation Analysis for 3D Abnormal Gait Behaviour Recognition Based on Virtual Sample Generation
Jian Luo, Tardi Tjahjadi
IEEE Access (2020) Vol. 8, pp. 32485-32501
Open Access | Times Cited: 19
Using a Skeleton Gait Energy Image for Pathological Gait Classification
João Alexandre Gonçalinho Loureiro, Paulo Lobato Correia
2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021) (2020), pp. 503-507
Closed Access | Times Cited: 19
Portable vision-based gait assessment for post-stroke rehabilitation using an attention-based lightweight CNN
Chengju Zhou, Daqin Feng, Shuyu Chen, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 122074-122074
Closed Access | Times Cited: 7
Unveiling Patterns and Abnormalities of Human Gait: A Comprehensive Study
Prateek Singhal, Rakesh Kumar Yadav, Upendra N. Dwivedi
Indian Journal of Information Sources and Services (2024) Vol. 14, Iss. 1, pp. 51-70
Open Access | Times Cited: 2
Auto-Gait
Wasifur Rahman, Masum Hasan, Md. Saiful Islam, et al.
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (2023) Vol. 7, Iss. 1, pp. 1-19
Open Access | Times Cited: 6
EatSense: Human centric, action recognition and localization dataset for understanding eating behaviors and quality of motion assessment
Muhammad Ahmed Raza, Longfei Chen, Nanbo Li, et al.
Image and Vision Computing (2023) Vol. 137, pp. 104762-104762
Open Access | Times Cited: 6
Automatic two-dimensional & three-dimensional video analysis with deep learning for movement disorders: A systematic review
Wei Tang, Peter M. A. van Ooijen, Deborah A. Sival, et al.
Artificial Intelligence in Medicine (2024) Vol. 156, pp. 102952-102952
Open Access | Times Cited: 2
Using a Deep Learning Method and Data from Two-Dimensional (2D) Marker-Less Video-Based Images for Walking Speed Classification
Tasriva Sikandar, Mohammad Fazle Rabbi, Kamarul Hawari Ghazali, et al.
Sensors (2021) Vol. 21, Iss. 8, pp. 2836-2836
Open Access | Times Cited: 13
Unsupervised GEI-Based Gait Disorders Detection From Different Views
Amr Elkholy, Yasushi Makihara, Walid Gomaa, et al.
(2019), pp. 5423-5426
Closed Access | Times Cited: 14
Sensor technology with gait as a diagnostic tool for assessment of Parkinson’s disease: a survey
Navleen Kour, Sunanda Gupta, Sakshi Arora
Multimedia Tools and Applications (2022) Vol. 82, Iss. 7, pp. 10211-10247
Closed Access | Times Cited: 9
Machine-learning-based children’s pathological gait classification with low-cost gait-recognition system
Linghui Xu, Jiansong Chen, Fei Wang, et al.
BioMedical Engineering OnLine (2021) Vol. 20, Iss. 1
Open Access | Times Cited: 10
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