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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:

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

Showing 1-25 of 172 citing articles:

3D Human Action Representation Learning via Cross-View Consistency Pursuit
Linguo Li, Minsi Wang, Bingbing Ni, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021), pp. 4739-4748
Open Access | Times Cited: 147
Contrastive Learning from Extremely Augmented Skeleton Sequences for Self-Supervised Action Recognition
Tianyu Guo, Hong Liu, Zhan Chen, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2022) Vol. 36, Iss. 1, pp. 762-770
Open Access | Times Cited: 92
A multi-modal open dataset for mental-disorder analysis
Hanshu Cai, Zhenqin Yuan, Yiwen Gao, et al.
Scientific Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 92
Multi-Granularity Anchor-Contrastive Representation Learning for Semi-Supervised Skeleton-Based Action Recognition
Xiangbo Shu, Binqian Xu, Liyan Zhang, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022) Vol. 45, Iss. 6, pp. 7559-7576
Closed Access | Times Cited: 92
Adventures in data analysis: a systematic review of Deep Learning techniques for pattern recognition in cyber-physical-social systems
Zahra Mohtasham‐Amiri, Arash Heidari, Nima Jafari Navimipour, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 8, pp. 22909-22973
Closed Access | Times Cited: 86
X-Invariant Contrastive Augmentation and Representation Learning for Semi-Supervised Skeleton-Based Action Recognition
Binqian Xu, Xiangbo Shu, Yan Song
IEEE Transactions on Image Processing (2022) Vol. 31, pp. 3852-3867
Closed Access | Times Cited: 79
Transformer for Skeleton-based action recognition: A review of recent advances
Wentian Xin, Ruyi Liu, Yi Liu, et al.
Neurocomputing (2023) Vol. 537, pp. 164-186
Closed Access | Times Cited: 46
Human Activity Recognition (HAR) Using Deep Learning: Review, Methodologies, Progress and Future Research Directions
Pranjal Kumar, Siddhartha Chauhan, Lalit Kumar Awasthi
Archives of Computational Methods in Engineering (2023) Vol. 31, Iss. 1, pp. 179-219
Closed Access | Times Cited: 41
GraphGST: Graph Generative Structure-Aware Transformer for Hyperspectral Image Classification
Mengying Jiang, Yuanchao Su, Lianru Gao, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-16
Closed Access | Times Cited: 32
Sequence-to-Sequence Contrastive Learning for Text Recognition
Aviad Aberdam, Ron Litman, Shahar Tsiper, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021), pp. 15297-15307
Open Access | Times Cited: 99
More than Encoder: Introducing Transformer Decoder to Upsample
Yijiang Li, Wentian Cai, Ying Gao, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2022), pp. 1597-1602
Open Access | Times Cited: 50
Actionlet-Dependent Contrastive Learning for Unsupervised Skeleton-Based Action Recognition
Lilang Lin, Jiahang Zhang, Jiaying Liu
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Open Access | Times Cited: 36
Hierarchical Contrast for Unsupervised Skeleton-Based Action Representation Learning
Jianfeng Dong, Shengkai Sun, Zhonglin Liu, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 1, pp. 525-533
Open Access | Times Cited: 28
TranSG: Transformer-Based Skeleton Graph Prototype Contrastive Learning with Structure-Trajectory Prompted Reconstruction for Person Re-Identification
Haocong Rao, Chunyan Miao
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Open Access | Times Cited: 28
PRA-Net: Part-and-Relation Attention Network for depression recognition from facial expression
Zhenyu Liu, Xiaoyan Yuan, Yutong Li, et al.
Computers in Biology and Medicine (2023) Vol. 157, pp. 106589-106589
Closed Access | Times Cited: 27
Hierarchical Consistent Contrastive Learning for Skeleton-Based Action Recognition with Growing Augmentations
Jiahang Zhang, Lilang Lin, Jiaying Liu
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 3, pp. 3427-3435
Open Access | Times Cited: 27
SkeletonMAE: Graph-based Masked Autoencoder for Skeleton Sequence Pre-training
Yan Hong, Yang Liu, Yushen Wei, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 5583-5595
Open Access | Times Cited: 22
Abnormal core functional connectivity on the pathology of MDD and antidepressant treatment: A systematic review
Jianxiu Li, Junhao Chen, Wenwen Kong, et al.
Journal of Affective Disorders (2021) Vol. 296, pp. 622-634
Closed Access | Times Cited: 54
Prototypical Contrast and Reverse Prediction: Unsupervised Skeleton Based Action Recognition
Shihao Xu, Haocong Rao, Xiping Hu, et al.
IEEE Transactions on Multimedia (2021) Vol. 25, pp. 624-634
Open Access | Times Cited: 41
Contrast-Reconstruction Representation Learning for Self-Supervised Skeleton-Based Action Recognition
Peng Wang, Jun Wen, Chenyang Si, et al.
IEEE Transactions on Image Processing (2022) Vol. 31, pp. 6224-6238
Open Access | Times Cited: 37
3D Human Action Recognition: Through the eyes of researchers
Arya Sarkar, Avinandan Banerjee, Pawan Kumar Singh, et al.
Expert Systems with Applications (2022) Vol. 193, pp. 116424-116424
Closed Access | Times Cited: 34
Generalized Pose Decoupled Network for Unsupervised 3D Skeleton Sequence-Based Action Representation Learning
Mengyuan Liu, Fanyang Meng, Yongsheng Liang
Cyborg and Bionic Systems (2022) Vol. 2022, pp. 0002-0002
Open Access | Times Cited: 34
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
Perceiving Stroke-Semantic Context: Hierarchical Contrastive Learning for Robust Scene Text Recognition
Hao Liu, Bin Wang, Zhimin Bao, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2022) Vol. 36, Iss. 2, pp. 1702-1710
Open Access | Times Cited: 29
Self-Supervised Action Representation Learning from Partial Spatio-Temporal Skeleton Sequences
Zhou Yujie, Haodong Duan, Anyi Rao, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 3, pp. 3825-3833
Open Access | Times Cited: 19
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