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:

A Survey on Gait Recognition
Changsheng Wan, Li Wang, Vir V. Phoha
ACM Computing Surveys (2018) Vol. 51, Iss. 5, pp. 1-35
Open Access | Times Cited: 263

Showing 26-50 of 263 citing articles:

CMOS Image Sensors in Surveillance System Applications
Susrutha Babu Sukhavasi, Suparshya Babu Sukhavasi, Khaled Elleithy, et al.
Sensors (2021) Vol. 21, Iss. 2, pp. 488-488
Open Access | Times Cited: 35

Monitoring Indoor People Presence in Buildings Using Low-Cost Infrared Sensor Array in Doorways
Cristian Perra, Amit Kumar, Michele Losito, et al.
Sensors (2021) Vol. 21, Iss. 12, pp. 4062-4062
Open Access | Times Cited: 33

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

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

Psychological and physiological computing based on multi-dimensional foot information
Shengyang Li, Huilin Yao, Ruotian Peng, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 5
Open Access

Artificial neural networks for finger vein recognition: A survey
Yimin Yin, Renye Zhang, Pengfei Liu, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 150, pp. 110586-110586
Closed Access

Securing Tomorrow of Next-Generation Technologies with Biometrics, State-of-The-Art Techniques, Open Challenges, and Future Research Directions
Muhammad Adil, Ahmed Farouk, Aitizaz Ali, et al.
Computer Science Review (2025) Vol. 57, pp. 100750-100750
Closed Access

A Systematic Comparison of Age and Gender Prediction on IMU Sensor-Based Gait Traces
Tim Van hamme, Giuseppe Garofalo, Enrique Argones Rúa, et al.
Sensors (2019) Vol. 19, Iss. 13, pp. 2945-2945
Open Access | Times Cited: 39

Data Augmentation for Inertial Sensor-Based Gait Deep Neural Network
L. Tran, Deokjai Choi
IEEE Access (2020) Vol. 8, pp. 12364-12378
Open Access | Times Cited: 35

UGaitNet: Multimodal Gait Recognition With Missing Input Modalities
Manuel J. Marín‐Jiménez, Francisco M. Castro, Rubén Delgado-Escaño, et al.
IEEE Transactions on Information Forensics and Security (2021) Vol. 16, pp. 5452-5462
Closed Access | Times Cited: 29

Vision-based approaches towards person identification using gait
Muhammad Hassan Khan, Muhammad Shahid Farid, Marcin Grzegorzek
Computer Science Review (2021) Vol. 42, pp. 100432-100432
Closed Access | Times Cited: 28

Real-Time Gait Phase Recognition Based on Time Domain Features of Multi-MEMS Inertial Sensors
Meiyan Zhang, Qisong Wang, Dan Liu, et al.
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 70, pp. 1-12
Closed Access | Times Cited: 27

STRIDE: Systematic Radar Intelligence Analysis for ADRD Risk Evaluation With Gait Signature Simulation and Deep Learning
Fulin Cai, Abhidnya Patharkar, Teresa Wu, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 10, pp. 10998-11006
Closed Access | Times Cited: 12

mDS-PCGR: A Bimodal Gait Recognition Framework With the Fusion of 4-D Radar Point Cloud Sequences and Micro-Doppler Signatures
Chongrun Ma, Zhenyu Liu
IEEE Sensors Journal (2024) Vol. 24, Iss. 6, pp. 8227-8240
Closed Access | Times Cited: 4

Human Gait Recognition for Biometrics Application Based on Deep Learning Fusion Assisted Framework
Ch Avais Hanif, Muhammad Ali Mughal, Muhammad Attique Khan, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 78, Iss. 1, pp. 357-374
Open Access | Times Cited: 4

QAGait: Revisit Gait Recognition from a Quality Perspective
Zengbin Wang, Saihui Hou, Man Zhang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 6, pp. 5785-5793
Open Access | Times Cited: 4

Classification of Gait Pattern with Wearable Sensing Data
Sakorn Mekruksavanich, Anuchit Jitpattanakul
(2019), pp. 137-141
Closed Access | Times Cited: 33

Human Gait Recognition Based on Self-Adaptive Hidden Markov Model
Xiuhui Wang, Shiling Feng, Wei Qi Yan
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2019) Vol. 18, Iss. 3, pp. 963-972
Closed Access | Times Cited: 33

Recurrent Neural Network for Inertial Gait User Recognition in Smartphones
Pablo Fernández-López, Judith Liu‐Jimenez, Kiyoshi Kiyokawa, et al.
Sensors (2019) Vol. 19, Iss. 18, pp. 4054-4054
Open Access | Times Cited: 32

Big Data
Wolfgang Pietsch
(2021)
Closed Access | Times Cited: 25

Gait Recognition using Multi-Scale Partial Representation Transformation with Capsules
Alireza Sepas‐Moghaddam, Saeed Ghorbani, Nikolaus F. Troje, et al.
2022 26th International Conference on Pattern Recognition (ICPR) (2021) Vol. 72, pp. 8045-8052
Open Access | Times Cited: 23

Beyond Passwords—Challenges and Opportunities of Future Authentication
Florian Alt, Stefan Schneegaß
IEEE Security & Privacy (2022) Vol. 20, Iss. 1, pp. 82-86
Closed Access | Times Cited: 16

Geriatric Care Management System Powered by the IoT and Computer Vision Techniques
Agnė Paulauskaitė-Tarasevičienė, Julius Siaulys, Kristina Šutienė, et al.
Healthcare (2023) Vol. 11, Iss. 8, pp. 1152-1152
Open Access | Times Cited: 10

A survey of appearance-based approaches for human gait recognition: techniques, challenges, and future directions
Pınar Güner Şahan, Sühap Şahin, Fidan Kaya Gülağız
The Journal of Supercomputing (2024) Vol. 80, Iss. 13, pp. 18392-18429
Open Access | Times Cited: 3

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