Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Learning effective Gait features using LSTM
Yang Feng, Yuncheng Li, Jiebo Luo
(2016), pp. 325-330
Closed Access | Times Cited: 124

Showing 1-25 of 124 citing articles:

A model-based gait recognition method with body pose and human prior knowledge
Rijun Liao, Shiqi Yu, Weizhi An, et al.
Pattern Recognition (2019) Vol. 98, pp. 107069-107069
Closed Access | Times Cited: 367
Gait Recognition via Disentangled Representation Learning
Ziyuan Zhang, Luan Tran, Xi Yin, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2019)
Open Access | Times Cited: 242
Multi-Task GANs for View-Specific Feature Learning in Gait Recognition
Yiwei He, Junping Zhang, Hongming Shan, et al.
IEEE Transactions on Information Forensics and Security (2018) Vol. 14, Iss. 1, pp. 102-113
Closed Access | Times Cited: 225
Pose-Based Temporal-Spatial Network (PTSN) for Gait Recognition with Carrying and Clothing Variations
Rijun Liao, Chunshui Cao, Edel García-Reyes, et al.
Lecture notes in computer science (2017), pp. 474-483
Closed Access | Times Cited: 184
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
Towards a Deeper Understanding of Skeleton-based Gait Recognition
Torben Teepe, Johannes Gilg, Fabian Herzog, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2022), pp. 1568-1576
Open Access | Times Cited: 72
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
Robust gait recognition: a comprehensive survey
Imad Rida, Noor Almaadeed, Somaya Al-Máadeed
IET Biometrics (2018) Vol. 8, Iss. 1, pp. 14-28
Open Access | Times Cited: 113
On Learning Disentangled Representations for Gait Recognition
Ziyuan Zhang, Luan Tran, Feng Liu, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2020) Vol. 44, Iss. 1, pp. 345-360
Open Access | Times Cited: 110
End-to-End Model-Based Gait Recognition
Xiang Li, Yasushi Makihara, Chi Xu, et al.
Lecture notes in computer science (2021), pp. 3-20
Closed Access | Times Cited: 99
Deep Learning for Fall Risk Assessment With Inertial Sensors: Utilizing Domain Knowledge in Spatio-Temporal Gait Parameters
Can Tunca, Gülüstü Salur, Cem Ersoy
IEEE Journal of Biomedical and Health Informatics (2019) Vol. 24, Iss. 7, pp. 1994-2005
Closed Access | Times Cited: 89
GaitGANv2: Invariant gait feature extraction using generative adversarial networks
Shiqi Yu, Rijun Liao, Weizhi An, et al.
Pattern Recognition (2018) Vol. 87, pp. 179-189
Closed Access | Times Cited: 88
TransGait: Multimodal-based gait recognition with set transformer
Guodong Li, Lijun Guo, Rong Zhang, et al.
Applied Intelligence (2022) Vol. 53, Iss. 2, pp. 1535-1547
Closed Access | Times Cited: 37
Dynamic Aggregated Network for Gait Recognition
Kang Ma, Ying Fu, Dezhi Zheng, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Closed Access | Times Cited: 33
Human gait recognition: A systematic review
Veenu Rani, Munish Kumar
Multimedia Tools and Applications (2023) Vol. 82, Iss. 24, pp. 37003-37037
Closed Access | Times Cited: 27
Monitoring tool usage in surgery videos using boosted convolutional and recurrent neural networks
Hassan Al Hajj, Mathieu Lamard, Pierre-Henri Conze, et al.
Medical Image Analysis (2018) Vol. 47, pp. 203-218
Open Access | Times Cited: 76
Learning Efficient Spatial-Temporal Gait Features with Deep Learning for Human Identification
Wu Liu, Cheng Zhang, Huadóng Ma, et al.
Neuroinformatics (2018) Vol. 16, Iss. 3-4, pp. 457-471
Closed Access | Times Cited: 73
Normal and pathological gait classification LSTM model
Margarita Khokhlova, Cyrille Migniot, Alexei A. Morozov, et al.
Artificial Intelligence in Medicine (2019) Vol. 94, pp. 54-66
Closed Access | Times Cited: 73
Learning Joint Gait Representation via Quintuplet Loss Minimization
Kaihao Zhang, Wenhan Luo, Lin Ma, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2019)
Closed Access | Times Cited: 68
Skeleton-Based Gait Recognition via Robust Frame-Level Matching
Seokeon Choi, Jonghee Kim, Wonjun Kim, et al.
IEEE Transactions on Information Forensics and Security (2019) Vol. 14, Iss. 10, pp. 2577-2592
Closed Access | Times Cited: 64
Pose‐based deep gait recognition
Anna Sokolova, Anton Konushin
IET Biometrics (2018) Vol. 8, Iss. 2, pp. 134-143
Open Access | Times Cited: 62
Artificial Neural Network Based Gait Recognition Using Kinect Sensor
A. S. M. Hossain Bari, Marina L. Gavrilova
IEEE Access (2019) Vol. 7, pp. 162708-162722
Open Access | Times Cited: 59
Associated Spatio-Temporal Capsule Network for Gait Recognition
Aite Zhao, Junyu Dong, Jianbo Li, et al.
IEEE Transactions on Multimedia (2021) Vol. 24, pp. 846-860
Open Access | Times Cited: 45
Cross-View Gait Recognition with Deep Universal Linear Embeddings
Shaoxiong Zhang, Yunhong Wang, Annan Li
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021), pp. 9091-9100
Closed Access | Times Cited: 44
From Indoor to Outdoor: Unsupervised Domain Adaptive Gait Recognition
Likai Wang, Wei Feng, Ruize Han, et al.
(2025)
Closed Access
Page 1 - Next Page

Scroll to top