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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:

Skeleton-Based Action Recognition with Spatial Reasoning and Temporal Stack Learning
Chenyang Si, Ya Jing, Wei Wang, et al.
Lecture notes in computer science (2018), pp. 106-121
Closed Access | Times Cited: 387

Showing 26-50 of 387 citing articles:

Feedback Graph Convolutional Network for Skeleton-Based Action Recognition
Hao Yang, Dan Yan, Li Zhang, et al.
IEEE Transactions on Image Processing (2021) Vol. 31, pp. 164-175
Open Access | Times Cited: 97
A Comparative Review of Recent Kinect-Based Action Recognition Algorithms
Lei Wang, Du Q. Huynh, Piotr Koniusz
IEEE Transactions on Image Processing (2019) Vol. 29, pp. 15-28
Open Access | Times Cited: 95
Part-Level Graph Convolutional Network for Skeleton-Based Action Recognition
Linjiang Huang, Yan Huang, Wanli Ouyang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2020) Vol. 34, Iss. 07, pp. 11045-11052
Open Access | Times Cited: 94
A spatial attentive and temporal dilated (SATD) GCN for skeleton‐based action recognition
Jiaxu Zhang, Gaoxiang Ye, Zhigang Tu, et al.
CAAI Transactions on Intelligence Technology (2021) Vol. 7, Iss. 1, pp. 46-55
Open Access | Times Cited: 93
Hybrid Graph Neural Networks for Crowd Counting
Ao Luo, Fan Yang, Xin Li, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2020) Vol. 34, Iss. 07, pp. 11693-11700
Open Access | Times Cited: 82
JOLO-GCN: Mining Joint-Centered Light-Weight Information for Skeleton-Based Action Recognition
Jinmiao Cai, Nianjuan Jiang, Xiaoguang Han, et al.
(2021)
Open Access | Times Cited: 81
DDGCN: A Dynamic Directed Graph Convolutional Network for Action Recognition
Matthew Korban, Xin Li
Lecture notes in computer science (2020), pp. 761-776
Closed Access | Times Cited: 72
Symbiotic Graph Neural Networks for 3D Skeleton-Based Human Action Recognition and Motion Prediction
Maosen Li, Siheng Chen, Xu Chen, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2021) Vol. 44, Iss. 6, pp. 3316-3333
Open Access | Times Cited: 71
Learning Multi-Granular Spatio-Temporal Graph Network for Skeleton-based Action Recognition
Tailin Chen, Desen Zhou, Jian Wang, et al.
Proceedings of the 30th ACM International Conference on Multimedia (2021)
Open Access | Times Cited: 65
Human Action Recognition from Various Data Modalities: A Review
Hossein Rahmani, Mohammed Bennamoun, Qiuhong Ke
(2021)
Open Access | Times Cited: 63
Pose estimation-based lameness recognition in broiler using CNN-LSTM network
Amin Nasiri, Jonathan Yoder, Yang Zhao, et al.
Computers and Electronics in Agriculture (2022) Vol. 197, pp. 106931-106931
Closed Access | Times Cited: 59
Spatial Temporal Graph Deconvolutional Network for Skeleton-Based Human Action Recognition
Wei Peng, Jingang Shi, Guoying Zhao
IEEE Signal Processing Letters (2021) Vol. 28, pp. 244-248
Open Access | Times Cited: 58
Graph Neural Network and Spatiotemporal Transformer Attention for 3D Video Object Detection From Point Clouds
Junbo Yin, Jianbing Shen, Xin Gao, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2021) Vol. 45, Iss. 8, pp. 9822-9835
Open Access | Times Cited: 58
StressNet - Deep learning to predict stress with fracture propagation in brittle materials
Yinan Wang, Diane Oyen, Weihong Guo, et al.
npj Materials Degradation (2021) Vol. 5, Iss. 1
Open Access | Times Cited: 57
Deep Learning on Graphs
Yao Ma, Jiliang Tang
(2021)
Open Access | Times Cited: 57
Spatio-temporal segments attention for skeleton-based action recognition
Helei Qiu, Biao Hou, Bo Ren, et al.
Neurocomputing (2022) Vol. 518, pp. 30-38
Closed Access | Times Cited: 48
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: 38
Motif-GCNs With Local and Non-Local Temporal Blocks for Skeleton-Based Action Recognition
Yu‐Hui Wen, Lin Gao, Hongbo Fu, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022) Vol. 45, Iss. 2, pp. 2009-2023
Closed Access | Times Cited: 38
Dynamic Semantic-Based Spatial Graph Convolution Network for Skeleton-Based Human Action Recognition
Jianyang Xie, Yanda Meng, Yitian Zhao, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 6, pp. 6225-6233
Open Access | Times Cited: 8
A discriminative multi-modal adaptation neural network model for video action recognition
Lei Gao, Kai Liu, Ling Guan
Neural Networks (2025) Vol. 185, pp. 107114-107114
Closed Access | Times Cited: 1
Local and Global Spatial-Temporal Transformer for skeleton-based action recognition
Ruyi Liu, Yu Chen, Feiyu Gai, et al.
Neurocomputing (2025), pp. 129820-129820
Closed Access | Times Cited: 1
Three-Stream Convolutional Neural Network With Multi-Task and Ensemble Learning for 3D Action Recognition
Liang Duohan, Guoliang Fan, Guangfeng Lin, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2019)
Closed Access | Times Cited: 68
A Multi-Stream Graph Convolutional Networks-Hidden Conditional Random Field Model for Skeleton-Based Action Recognition
Kai Liu, Lei Gao, Naimul Khan, et al.
IEEE Transactions on Multimedia (2020) Vol. 23, pp. 64-76
Closed Access | Times Cited: 59
A Mixed-Perception Approach for Safe Human–Robot Collaboration in Industrial Automation
Fatemeh Mohammadi Amin, Maryam Rezayati, Hans Wernher van de Venn, et al.
Sensors (2020) Vol. 20, Iss. 21, pp. 6347-6347
Open Access | Times Cited: 58
Adversarial Self-supervised Learning for Semi-supervised 3D Action Recognition
Chenyang Si, Xuecheng Nie, Wei Wang, et al.
Lecture notes in computer science (2020), pp. 35-51
Closed Access | Times Cited: 58

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