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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:

TGLSTM: A time based graph deep learning approach to gait recognition
Francesco Battistone, Alfredo Petrosino
Pattern Recognition Letters (2018) Vol. 126, pp. 132-138
Closed Access | Times Cited: 86

Showing 1-25 of 86 citing articles:

Deep Gait Recognition: A Survey
Alireza Sepas‐Moghaddam, Ali Etemad
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022) Vol. 45, Iss. 1, pp. 264-284
Open Access | Times Cited: 165
Biometrics recognition using deep learning: a survey
Shervin Minaee, AmirAli Abdolrashidi, Hang Su, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. 8, pp. 8647-8695
Open Access | Times Cited: 117
An Exploration of Gait Datasets and Their Implications
Appoorva Bansal, Arpit Jain, Shambhu Bharadwaj
2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS) (2024)
Closed Access | Times Cited: 18
Deep Learning for Monitoring of Human Gait: A Review
Abdullah Alharthi, Syed U. Yunas, Krikor Ozanyan
IEEE Sensors Journal (2019) Vol. 19, Iss. 21, pp. 9575-9591
Open Access | Times Cited: 134
Cross-View Gait Recognition by Discriminative Feature Learning
Yuqi Zhang, Yongzhen Huang, Shiqi Yu, et al.
IEEE Transactions on Image Processing (2019) Vol. 29, pp. 1001-1015
Closed Access | Times Cited: 129
A multilevel paradigm for deep convolutional neural network features selection with an application to human gait recognition
Habiba Arshad, Muhammad Attique Khan, Muhammad Irfan Sharif, et al.
Expert Systems (2020) Vol. 39, Iss. 7
Open Access | Times Cited: 115
A multimodal approach for human activity recognition based on skeleton and RGB data
Annalisa Franco, Antonio Magnani, Dario Maio
Pattern Recognition Letters (2020) Vol. 131, pp. 293-299
Open Access | Times Cited: 108
Biometric Recognition Using Deep Learning: A Survey
Shervin Minaee, AmirAli Abdolrashidi, Hang Su, et al.
arXiv (Cornell University) (2019)
Closed Access | Times Cited: 82
A Self-Supervised Gait Encoding Approach With Locality-Awareness for 3D Skeleton Based Person Re-Identification
Haocong Rao, Siqi Wang, Xiping Hu, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2021) Vol. 44, Iss. 10, pp. 6649-6666
Open Access | Times Cited: 71
Attention-based bidirectional gated recurrent unit neural networks for well logs prediction and lithology identification
Lili Zeng, Weijian Ren, Liqun Shan
Neurocomputing (2020) Vol. 414, pp. 153-171
Closed Access | Times Cited: 69
Deep learning pipelines for recognition of gait biometrics with covariates: a comprehensive review
Anubha Parashar, Apoorva Parashar, Weiping Ding, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. 8, pp. 8889-8953
Closed Access | Times Cited: 25
Joint Intensity Transformer Network for Gait Recognition Robust Against Clothing and Carrying Status
Xiang Li, Yasushi Makihara, Chi Xu, et al.
IEEE Transactions on Information Forensics and Security (2019) Vol. 14, Iss. 12, pp. 3102-3115
Open Access | Times Cited: 62
Finger vein biometric verification using block multi-scale uniform local binary pattern features and block two-directional two-dimension principal component analysis
Na Hu, Hui Ma, Tao Zhan
Optik (2020) Vol. 208, pp. 163664-163664
Closed Access | Times Cited: 56
Action recognition using kinematics posture feature on 3D skeleton joint locations
Md Atiqur Rahman Ahad, Masud Ahmed, Anindya Das Antar, et al.
Pattern Recognition Letters (2021) Vol. 145, pp. 216-224
Open Access | Times Cited: 51
Human Body Pose Estimation for Gait Identification: A Comprehensive Survey of Datasets and Models
Luke Topham, Wasiq Khan, Dhiya Al‐Jumeily, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 6, pp. 1-42
Open Access | Times Cited: 30
Intra-class variations with deep learning-based gait analysis: A comprehensive survey of covariates and methods
Anubha Parashar, Rajveer Singh Shekhawat, Weiping Ding, et al.
Neurocomputing (2022) Vol. 505, pp. 315-338
Closed Access | Times Cited: 29
A unified perspective of classification-based loss and distance-based loss for cross-view gait recognition
Han Feng, Xuejian Li, Jian Zhao, et al.
Pattern Recognition (2022) Vol. 125, pp. 108519-108519
Closed Access | Times Cited: 27
Fusion of Forward and Backward LSTMs for Effective Occlusion Reconstruction in Gait Sequences
Manav Jain, Pratik Chattopadhyay, Abhishek Paul, et al.
SN Computer Science (2025) Vol. 6, Iss. 3
Closed Access
A Survey of Behavioral Biometric Gait Recognition: Current Success and Future Perspectives
Jasvinder Pal Singh, Sanjeev Jain, Sakshi Arora, et al.
Archives of Computational Methods in Engineering (2019) Vol. 28, Iss. 1, pp. 107-148
Closed Access | Times Cited: 48
An Efficient Gait Recognition Method for Known and Unknown Covariate Conditions
Maryam Bukhari, Khalid Bashir Bajwa, Saira Gillani, et al.
IEEE Access (2020) Vol. 9, pp. 6465-6477
Open Access | Times Cited: 48
Human Gait Recognition Based on Frontal-View Walking Sequences Using Multi-modal Feature Representations and Learning
Muqing Deng, Zebang Zhong, Yi Zou, et al.
Neural Processing Letters (2024) Vol. 56, Iss. 2
Open Access | Times Cited: 4
Reconstructing dance movements using a mathematical model based on optimized nature-inspired machine learning
Jing Song, Li Ding
Artificial Intelligence Review (2025) Vol. 58, Iss. 5
Open Access
The biometric recognition system based on near-infrared finger vein image
Hui Ma, Na Hu, Chunxin Fang
Infrared Physics & Technology (2021) Vol. 116, pp. 103734-103734
Closed Access | Times Cited: 30
Graph-based neural network models with multiple self-supervised auxiliary tasks
Franco Manessi, Alessandro Rozza
Pattern Recognition Letters (2021) Vol. 148, pp. 15-21
Open Access | Times Cited: 30
Ensemble of Heterogeneous Base Classifiers for Human Gait Recognition
Marcin Derlatka, Marta Borowska
Sensors (2023) Vol. 23, Iss. 1, pp. 508-508
Open Access | Times Cited: 12
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