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:

View Adaptive Recurrent Neural Networks for High Performance Human Action Recognition from Skeleton Data
Pengfei Zhang, Cuiling Lan, Junliang Xing, et al.
(2017), pp. 2136-2145
Open Access | Times Cited: 601

Showing 1-25 of 601 citing articles:

Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition
Lei Shi, Yifan Zhang, Jian Cheng, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2019), pp. 12018-12027
Open Access | Times Cited: 1558

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

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 Directed Graph Neural Networks
Lei Shi, Yifan Zhang, Jian Cheng, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2019), pp. 7904-7913
Closed Access | Times Cited: 828

An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition
Chenyang Si, Wentao Chen, Wei Wang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2019)
Open Access | Times Cited: 813

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

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

Skeleton-Based Action Recognition With Multi-Stream Adaptive Graph Convolutional Networks
Lei Shi, Yifan Zhang, Jian Cheng, et al.
IEEE Transactions on Image Processing (2020) Vol. 29, pp. 9532-9545
Open Access | Times Cited: 459

View Adaptive Neural Networks for High Performance Skeleton-Based Human Action Recognition
Pengfei Zhang, Cuiling Lan, Junliang Xing, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2019) Vol. 41, Iss. 8, pp. 1963-1978
Open Access | Times Cited: 455

Deep Progressive Reinforcement Learning for Skeleton-Based Action Recognition
Yansong Tang, Yi Tian, Jiwen Lu, et al.
(2018), pp. 5323-5332
Closed Access | Times Cited: 442

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

Joint Distance Maps Based Action Recognition With Convolutional Neural Networks
Chuankun Li, Yonghong Hou, Pichao Wang, et al.
IEEE Signal Processing Letters (2017) Vol. 24, Iss. 5, pp. 624-628
Open Access | Times Cited: 355

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

Learning Graph Convolutional Network for Skeleton-Based Human Action Recognition by Neural Searching
Wei Peng, Xiaopeng Hong, Haoyu Chen, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2020) Vol. 34, Iss. 03, pp. 2669-2676
Open Access | Times Cited: 320

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

Skeleton-based action recognition with convolutional neural networks
Chao Li, Qiaoyong Zhong, Di Xie, et al.
(2017), pp. 597-600
Closed Access | Times Cited: 275

Milestones in Autonomous Driving and Intelligent Vehicles: Survey of Surveys
Long Chen, Yuchen Li, Chao Huang, et al.
IEEE Transactions on Intelligent Vehicles (2022) Vol. 8, Iss. 2, pp. 1046-1056
Open Access | Times Cited: 267

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

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

Spatiotemporal Co-Attention Recurrent Neural Networks for Human-Skeleton Motion Prediction
Xiangbo Shu, Liyan Zhang, Guo-Jun Qi, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2021) Vol. 44, Iss. 6, pp. 3300-3315
Open Access | Times Cited: 194

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

Graph Edge Convolutional Neural Networks for Skeleton-Based Action Recognition
Xikun Zhang, Chang Xu, Xinmei Tian, et al.
IEEE Transactions on Neural Networks and Learning Systems (2019) Vol. 31, Iss. 8, pp. 3047-3060
Open Access | Times Cited: 169

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