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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:

Spatial Temporal Transformer Network for Skeleton-Based Action Recognition
Chiara Plizzari, Marco Cannici, Matteo Matteucci
Lecture notes in computer science (2021), pp. 694-701
Closed Access | Times Cited: 166

Showing 1-25 of 166 citing articles:

Transformers in Vision: A Survey
Salman Khan, Muzammal Naseer, Munawar Hayat, et al.
ACM Computing Surveys (2022) Vol. 54, Iss. 10s, pp. 1-41
Open Access | Times Cited: 1896
Human Action Recognition From Various Data Modalities: A Review
Zehua Sun, Qiuhong Ke, Hossein Rahmani, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022), pp. 1-20
Open Access | Times Cited: 340
Transformers in Vision: A Survey
Salman Khan, Muzammal Naseer, Munawar Hayat, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 125
Learning Skeletal Graph Neural Networks for Hard 3D Pose Estimation
Ailing Zeng, Xiao Sun, Lei Yang, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021)
Open Access | Times Cited: 121
Graph transformer network with temporal kernel attention for skeleton-based action recognition
Yanan Liu, Hao Zhang, Dan Xu, et al.
Knowledge-Based Systems (2022) Vol. 240, pp. 108146-108146
Open Access | Times Cited: 101
A union of deep learning and swarm-based optimization for 3D human action recognition
Hritam Basak, Rohit Kundu, Pawan Kumar Singh, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 87
Convolutional Neural Networks or Vision Transformers: Who Will Win the Race for Action Recognitions in Visual Data?
Oumaima Moutik, Hiba Sekkat, Smail Tigani, et al.
Sensors (2023) Vol. 23, Iss. 2, pp. 734-734
Open Access | Times Cited: 63
Skeleton-based Human Action Recognition via Large-kernel Attention Graph Convolutional Network
Yanan Liu, Hao Zhang, Yanqiu Li, et al.
IEEE Transactions on Visualization and Computer Graphics (2023) Vol. 29, Iss. 5, pp. 2575-2585
Closed Access | Times Cited: 47
UTRAD: Anomaly detection and localization with U-Transformer
Liyang Chen, Zhiyuan You, Nian Zhang, et al.
Neural Networks (2021) Vol. 147, pp. 53-62
Closed Access | Times Cited: 85
DirecFormer: A Directed Attention in Transformer Approach to Robust Action Recognition
Thanh-Dat Truong, Quoc-Huy Bui, Chi Nhan Duong, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 19998-20008
Open Access | Times Cited: 46
Action recognition based on RGB and skeleton data sets: A survey
Rujing Yue, Zhiqiang Tian, Shaoyi Du
Neurocomputing (2022) Vol. 512, pp. 287-306
Closed Access | Times Cited: 44
TranSkeleton: Hierarchical Spatial–Temporal Transformer for Skeleton-Based Action Recognition
Haowei Liu, Yongcheng Liu, Yuxin Chen, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2023) Vol. 33, Iss. 8, pp. 4137-4148
Closed Access | Times Cited: 29
Generative Action Description Prompts for Skeleton-based Action Recognition
Wangmeng Xiang, Chao Li, Yuxuan Zhou, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 10242-10251
Open Access | Times Cited: 24
Gaitmixer: Skeleton-Based Gait Representation Learning Via Wide-Spectrum Multi-Axial Mixer
Ekkasit Pinyoanuntapong, Ayman Ali, Pu Wang, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023), pp. 1-5
Open Access | Times Cited: 23
Part Aware Contrastive Learning for Self-Supervised Action Recognition
Yilei Hua, Wenhan Wu, Ce Zheng, et al.
(2023), pp. 855-863
Open Access | Times Cited: 23
GPGait: Generalized Pose-based Gait Recognition
Yang Fu, Shibei Meng, Saihui Hou, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 19538-19547
Open Access | Times Cited: 23
Skeleton MixFormer: Multivariate Topology Representation for Skeleton-based Action Recognition
Wentian Xin, Qiguang Miao, Yi Liu, et al.
(2023), pp. 2211-2220
Closed Access | Times Cited: 22
Channel Attention-Based Approach with Autoencoder Network for Human Action Recognition in Low-Resolution Frames
Elaheh Dastbaravardeh, Somayeh Askarpour, Maryam Saberi Anari, et al.
International Journal of Intelligent Systems (2024) Vol. 2024, pp. 1-22
Open Access | Times Cited: 12
STSD: spatial–temporal semantic decomposition transformer for skeleton-based action recognition
Hu Cui, Tessai Hayama
Multimedia Systems (2024) Vol. 30, Iss. 1
Closed Access | Times Cited: 9
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
Towards To-a-T Spatio-Temporal Focus for Skeleton-Based Action Recognition
Lipeng Ke, Kuan-Chuan Peng, Siwei Lyu
Proceedings of the AAAI Conference on Artificial Intelligence (2022) Vol. 36, Iss. 1, pp. 1131-1139
Open Access | Times Cited: 37
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
Hierarchical Graph Convolutional Skeleton Transformer for Action Recognition
Ruwen Bai, Min Li, Bo Meng, et al.
2022 IEEE International Conference on Multimedia and Expo (ICME) (2022)
Open Access | Times Cited: 37
Skeleton Graph-Neural-Network-Based Human Action Recognition: A Survey
Miao Feng, Jean Meunier
Sensors (2022) Vol. 22, Iss. 6, pp. 2091-2091
Open Access | Times Cited: 32
Global-Local Motion Transformer for Unsupervised Skeleton-Based Action Learning
Boeun Kim, Hyung Jin Chang, Jungho Kim, et al.
Lecture notes in computer science (2022), pp. 209-225
Closed Access | Times Cited: 32
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