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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:

NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding
Jun Liu, Amir Shahroudy, Mauricio Pérez, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2019) Vol. 42, Iss. 10, pp. 2684-2701
Open Access | Times Cited: 1270

Showing 1-25 of 1270 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
Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition
Ziyu Liu, Hongwen Zhang, Zhenghao Chen, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020), pp. 140-149
Open Access | Times Cited: 866
Skeleton-Based Action Recognition With Shift Graph Convolutional Network
Ke Cheng, Yifan Zhang, Xiangyu He, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020)
Closed Access | Times Cited: 721
Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition
Yuxin Chen, Ziqi Zhang, Chunfeng Yuan, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021), pp. 13339-13348
Open Access | Times Cited: 567
Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition
Pengfei Zhang, Cuiling Lan, Wenjun Zeng, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020)
Open Access | Times Cited: 503
Revisiting Skeleton-based Action Recognition
Haodong Duan, Yue Zhao, Kai Chen, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 2959-2968
Open Access | Times Cited: 461
Human Action Recognition and Prediction: A Survey
Yu Kong, Yun Fu
International Journal of Computer Vision (2022) Vol. 130, Iss. 5, pp. 1366-1401
Open Access | Times Cited: 460
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
Action-Conditioned 3D Human Motion Synthesis with Transformer VAE
Mathis Petrovich, Michael J. Black, Gül Varol
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021), pp. 10965-10975
Open Access | Times Cited: 307
Skeleton-based action recognition via spatial and temporal transformer networks
Chiara Plizzari, Marco Cannici, Matteo Matteucci
Computer Vision and Image Understanding (2021) Vol. 208-209, pp. 103219-103219
Open Access | Times Cited: 278
Constructing Stronger and Faster Baselines for Skeleton-Based Action Recognition
Yifan Song, Zhang Zhang, Caifeng Shan, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022) Vol. 45, Iss. 2, pp. 1474-1488
Open Access | Times Cited: 273
Decoupling GCN with DropGraph Module for Skeleton-Based Action Recognition
Ke Cheng, Yifan Zhang, Congqi Cao, et al.
Lecture notes in computer science (2020), pp. 536-553
Closed Access | Times Cited: 257
Dynamic GCN: Context-enriched Topology Learning for Skeleton-based Action Recognition
Fanfan Ye, Shiliang Pu, Qiaoyong Zhong, et al.
Proceedings of the 30th ACM International Conference on Multimedia (2020)
Open Access | Times Cited: 245
InfoGCN: Representation Learning for Human Skeleton-based Action Recognition
Hyung‐gun Chi, Myoung Hoon Ha, Seunggeun Chi, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 20154-20164
Closed Access | Times Cited: 204
A review of multimodal human activity recognition with special emphasis on classification, applications, challenges and future directions
Santosh Kumar Yadav, Kamlesh Tiwari, Hari Mohan Pandey, et al.
Knowledge-Based Systems (2021) Vol. 223, pp. 106970-106970
Open Access | Times Cited: 201
Multi-Scale Spatial Temporal Graph Convolutional Network for Skeleton-Based Action Recognition
Zhan Chen, Sicheng Li, Bing Yang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2021) Vol. 35, Iss. 2, pp. 1113-1122
Open Access | Times Cited: 195
SkeleMotion: A New Representation of Skeleton Joint Sequences based on Motion Information for 3D Action Recognition
Carlos Caetano, Jessica Sena, Franeois Bremond, et al.
(2019)
Open Access | Times Cited: 188
Richly Activated Graph Convolutional Network for Robust Skeleton-Based Action Recognition
Yifan Song, Zhang Zhang, Caifeng Shan, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2020) Vol. 31, Iss. 5, pp. 1915-1925
Open Access | Times Cited: 176
Action Transformer: A self-attention model for short-time pose-based human action recognition
Vittorio Mazzia, Simone Angarano, Francesco Salvetti, et al.
Pattern Recognition (2021) Vol. 124, pp. 108487-108487
Open Access | Times Cited: 175
Augmented Skeleton Based Contrastive Action Learning with Momentum LSTM for Unsupervised Action Recognition
Haocong Rao, Shihao Xu, Xiping Hu, et al.
Information Sciences (2021) Vol. 569, pp. 90-109
Open Access | Times Cited: 171
UAV-Human: A Large Benchmark for Human Behavior Understanding with Unmanned Aerial Vehicles
Tianjiao Li, Jun Liu, Wei Zhang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021), pp. 16261-16270
Open Access | Times Cited: 171
A Deep Learning Framework for Assessing Physical Rehabilitation Exercises
Yalin Liao, Aleksandar Vakanski, Min Xian
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2020) Vol. 28, Iss. 2, pp. 468-477
Open Access | Times Cited: 165
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: 165
Decoupled Spatial-Temporal Attention Network for Skeleton-Based Action-Gesture Recognition
Lei Shi, Yifan Zhang, Jian Cheng, et al.
Lecture notes in computer science (2021), pp. 38-53
Closed Access | Times Cited: 155
Point 4D Transformer Networks for Spatio-Temporal Modeling in Point Cloud Videos
Hehe Fan, Yi Yang, Mohan Kankanhalli
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)
Closed Access | Times Cited: 148
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