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:

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: 815

Showing 1-25 of 815 citing articles:

A review on the long short-term memory model
Greg Van Houdt, Carlos Mosquera, Gonzalo Nápoles
Artificial Intelligence Review (2020) Vol. 53, Iss. 8, pp. 5929-5955
Closed Access | Times Cited: 1172
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: 724
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: 504
STGAT: Modeling Spatial-Temporal Interactions for Human Trajectory Prediction
Ying-Fan Huang, Huikun Bi, Zhaoxin Li, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2019), pp. 6271-6280
Closed Access | Times Cited: 477
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: 462
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
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
A survey on video-based Human Action Recognition: recent updates, datasets, challenges, and applications
Preksha Pareek, Ankit Thakkar
Artificial Intelligence Review (2020) Vol. 54, Iss. 3, pp. 2259-2322
Closed Access | Times Cited: 301
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
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: 207
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
Skeleton Aware Multi-modal Sign Language Recognition
Songyao Jiang, Bin Sun, Lichen Wang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2021), pp. 3408-3418
Open Access | Times Cited: 176
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: 172
MSR-GCN: Multi-Scale Residual Graph Convolution Networks for Human Motion Prediction
Lingwei Dang, Yongwei Nie, Chengjiang Long, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021), pp. 11447-11456
Open Access | Times Cited: 167
PREDICT & CLUSTER: Unsupervised Skeleton Based Action Recognition
Kun Su, Xiulong Liu, Eli Shlizerman
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020)
Closed Access | Times Cited: 165
Deep Learning with Graph Convolutional Networks: An Overview and Latest Applications in Computational Intelligence
Uzair Aslam Bhatti, Hao Tang, Guilu Wu, et al.
International Journal of Intelligent Systems (2023) Vol. 2023, pp. 1-28
Open Access | Times Cited: 165
Attention, please! A survey of neural attention models in deep learning
Alana de Santana Correia, Esther Luna Colombini
Artificial Intelligence Review (2022) Vol. 55, Iss. 8, pp. 6037-6124
Closed Access | Times Cited: 161
Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future
David Ahmedt‐Aristizabal, Mohammad Ali Armin, Simon Denman, et al.
Sensors (2021) Vol. 21, Iss. 14, pp. 4758-4758
Open Access | Times Cited: 157
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
Page 1 - Next Page

Scroll to top