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:

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

Showing 14 citing articles:

Wearable Sensor-Based Gait Analysis for Age and Gender Estimation
Md Atiqur Rahman Ahad, Trung Thanh Ngo, Anindya Das Antar, et al.
Sensors (2020) Vol. 20, Iss. 8, pp. 2424-2424
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

Enhancing biomechanical machine learning with limited data: generating realistic synthetic posture data using generative artificial intelligence
Carlo Dindorf, Jonas Dully, Jürgen Konradi, et al.
Frontiers in Bioengineering and Biotechnology (2024) Vol. 12
Open Access | Times Cited: 4

A Review on the Use of Microsoft Kinect for Gait Abnormality and Postural Disorder Assessment
Anthony Bawa, Konstantinos Banitsas, Maysam Abbod
Journal of Healthcare Engineering (2021) Vol. 2021, pp. 1-19
Open Access | Times Cited: 20

An Efficient Automatic Gait Anomaly Detection Method Based on Semisupervised Clustering
Zhenlun Yang
Computational Intelligence and Neuroscience (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 13

FSGait: Fine-Grained Self-supervised Gait Abnormality Detection
B.F. Duan, Xiaoyue Wan, Xu Zhao
Lecture notes in computer science (2024), pp. 313-329
Closed Access

Triple Parallel LSTM Networks for Classifying the Gait Disorders Using Kinect Camera and Robot Platform During the Clinical Examination
Mohsen Shayestegan, Tomáš Zálabský, Jan Mareš
(2023), pp. 1-6
Closed Access | Times Cited: 1

Encoding Kinematic and Temporal Gait Data in an Appearance-Based Feature for the Automatic Classification of Autism Spectrum Disorder
Bradley G. Henderson, Pratheepan Yogarajah, Bryan Gardiner, et al.
IEEE Access (2023) Vol. 11, pp. 134100-134117
Open Access | Times Cited: 1

The anomaly detection mechanism using deep learning in a limited amount of data for fog networking
Gwo-Jiun Horng, Min-Xiang Liu, Chien‐Chin Hsu
Computer Communications (2021) Vol. 170, pp. 130-143
Closed Access | Times Cited: 2

Survey of Gait Recognition with Deep Learning for Mass Surveillance
Xijuan Wang, Fakhrul Hazman Yusoff, Marina Yusoff
(2022), pp. 177-192
Closed Access | Times Cited: 1

An Autoencoder-Based Feature Extraction Method Applied to the Detection of Lateral Walking Gait Phase
Lijun Yang, Kui Xiang, Muye Pang, et al.
Lecture notes in computer science (2023), pp. 111-120
Closed Access

Deep Architectures in Visual Transfer Learning
Walid Gomaa
Intelligent systems reference library (2021), pp. 1-27
Closed Access

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