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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:

Diagnostic value of a vision-based intelligent gait analyzer in screening for gait abnormalities
Yanmin Tang, Yanhong Wang, Xinyu Feng, et al.
Gait & Posture (2021) Vol. 91, pp. 205-211
Closed Access | Times Cited: 20

Showing 20 citing articles:

The Applications of Artificial Intelligence for Assessing Fall Risk: Systematic Review
Ana González-Castro, Raquel Leirós‐Rodríguez, Camino Prada‐García, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e54934-e54934
Open Access | Times Cited: 7
OptiGait: Gait Monitoring Using an Ankle-Worn Stereo Camera System
Jiangang Chen, Jayer Fernandes, Jianwei Ke, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 5, pp. 6888-6897
Closed Access | Times Cited: 4
A Transfer Learning Approach for Toe Walking Recognition Using Surface Electromyography on Leg Muscles
Andrea Manni, Gabriele Rescio, Anna Maria Carluccio, et al.
Sensors (2025) Vol. 25, Iss. 5, pp. 1305-1305
Open Access
Grand Challenges of Smart Technology for Older Adults
Jia Zhou, Gavriel Salvendy, Walter R. Boot, et al.
International Journal of Human-Computer Interaction (2025), pp. 1-43
Open Access
Can Machine Learning Enhance Computer Vision-Predicted Wrist Kinematics Determined from a Low-Cost Motion Capture System?
J.-S Carrière, Michele Oliver, Andrew Hamilton-Wright, et al.
Applied Sciences (2025) Vol. 15, Iss. 7, pp. 3552-3552
Open Access
Towards a diagnostic tool for neurological gait disorders in childhood combining 3D gait kinematics and deep learning
Zhengyang Lan, Mathieu Lempereur, Gwenael Gueret, et al.
Computers in Biology and Medicine (2024) Vol. 171, pp. 108095-108095
Open Access | Times Cited: 3
Two-step deep-learning identification of heel keypoints from video-recorded gait
Kjartan Halvorsen, Wei Peng, Fredrik Olsson, et al.
Medical & Biological Engineering & Computing (2024)
Open Access | Times Cited: 3
Recognition of Freezing of Gait in Parkinson’s Disease Based on Machine Vision
Wendan Li, Xiujun Chen, Jintao Zhang, et al.
Frontiers in Aging Neuroscience (2022) Vol. 14
Open Access | Times Cited: 11
Integrating Abnormal Gait Detection with Activities of Daily Living Monitoring in Ambient Assisted Living: A 3D Vision Approach
Giovanni Diraco, Andrea Manni, Alessandro Leone
Sensors (2023) Vol. 24, Iss. 1, pp. 82-82
Open Access | Times Cited: 4
Impact of White Matter Hyperintensity and Age on Gait Parameters in Patients With Cerebral Small Vessel Disease
Mingzhu Jiang, Shan Wu, Yunyun Zhang, et al.
Journal of the American Medical Directors Association (2022) Vol. 24, Iss. 5, pp. 672-678
Closed Access | Times Cited: 6
An Optimized-Skeleton-Based Parkinsonian Gait Auxiliary Diagnosis Method with Both Monitoring Indicators and Assisted Ratings
Gaoqi Li, Chi‐Man Pun, Haolun Li, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2023), pp. 2011-2016
Closed Access | Times Cited: 3
Medical Rehabilitation Assessment using Gait Analysis in Video Sequences
Silviu-Ioan Bejinariu, Ramona Luca, Hariton Costin, et al.
2022 E-Health and Bioengineering Conference (EHB) (2022), pp. 01-04
Closed Access | Times Cited: 4
Medical Rehabilitation Evaluation using Image Processing of Patients’ Gait
Hariton Costin, Ramona Luca, Ilie Onu, et al.
(2023), pp. 1-5
Closed Access | Times Cited: 2
Informational Image of a Person’s Gait According to Mobile Phone Data
Nikolay Dorofeev, А В Греченева, Ruslan Sharapov
(2023), pp. 259-263
Closed Access | Times Cited: 2
In-Home Evaluation of the Neo Care Artificial Intelligence Sound-Based Fall Detection System
Carol Maher, Kylie A. Dankiw, Ben Singh, et al.
Future Internet (2024) Vol. 16, Iss. 6, pp. 197-197
Open Access
A Sequential-data Approach for Human Gait Parameter Estimation and Surgical Event Inference
Shahzaib Hamid, Ikramullah Khosa, Muhammad Aksam Iftikhar, et al.
IEEE Access (2024) Vol. 12, pp. 168791-168811
Open Access
Applications of Artificial Intelligence for assessing fall risk: A systematic review (Preprint)
Ana González-Castro, Raquel Leirós‐Rodríguez, Camino Prada‐García, et al.
(2023)
Open Access | Times Cited: 1
Randomised parallel trial on the effectiveness and cost-effectiveness in screening gait disorder of silent cerebrovascular disease assisted by artificial intelligent system versus clinical doctors (ACCURATE-1): study protocol
Beini Fei, Jin Zhao, Xin Li, et al.
BMJ Open (2022) Vol. 12, Iss. 3, pp. e055880-e055880
Open Access | Times Cited: 2
Association between gait features assessed by artificial intelligent system and cognitive function decline in patients with silent cerebrovascular disease: study protocol of a multicenter prospective cohort study (ACCURATE-2)
Yanmin Tang, Beini Fei, Xin Li, et al.
BMC Neurology (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 1
Video Kinematic Analysis of Timed Up and Go Test in Convalescent Stroke Patients
Tongxin CAI, M. Lei, Yijun ZHOU, et al.
Rehabilitation Medicine (2023) Vol. 33, Iss. 5, pp. 412-418
Closed Access
Gait Parameters can Reflect Cognitive Performance in Older Adults with Cerebral Small Vessel Disease: A Cross-sectional Research
Mingzhu Jiang, Yan Li, Ying Chen, et al.
Current Neurovascular Research (2023) Vol. 20, Iss. 5, pp. 568-577
Open Access
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