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:

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

Showing 1-25 of 32 citing articles:

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: 37

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: 28

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

Masked Motion Predictors are Strong 3D Action Representation Learners
Yunyao Mao, Jiajun Deng, Wengang Zhou, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 10147-10157
Open Access | Times Cited: 16

HaLP: Hallucinating Latent Positives for Skeleton-based Self-Supervised Learning of Actions
Anshul Shah, Aniket Roy, Ketul Shah, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023) Vol. 34, pp. 18846-18856
Open Access | Times Cited: 15

Self-Supervised 3D Action Representation Learning With Skeleton Cloud Colorization
Siyuan Yang, Jun Liu, Shijian Lu, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023) Vol. 46, Iss. 1, pp. 509-524
Open Access | Times Cited: 14

Multi-modal and multi-part with skeletons and texts for action recognition
Lijuan Zhou, Xuri Jiao
Expert Systems with Applications (2025), pp. 126646-126646
Closed Access

Progressive semantic learning for unsupervised skeleton-based action recognition
Hao Qin, Luyuan Chen, Ming Kong, et al.
Machine Learning (2025) Vol. 114, Iss. 3
Closed Access

$$\hbox {I}^2$$MD: 3D Action Representation Learning with Inter- and Intra-Modal Mutual Distillation
Yunyao Mao, Jiajun Deng, Wengang Zhou, et al.
International Journal of Computer Vision (2025)
Closed Access

SCD-Net: Spatiotemporal Clues Disentanglement Network for Self-Supervised Skeleton-Based Action Recognition
Cong Wu, Xiao‐Jun Wu, Josef Kittler, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 6, pp. 5949-5957
Open Access | Times Cited: 3

MoST: Motion Style Transformer Between Diverse Action Contents
Boeun Kim, Jungho Kim, Hyung Jin Chang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 31, pp. 1705-1714
Closed Access | Times Cited: 3

Representation modeling learning with multi-domain decoupling for unsupervised skeleton-based action recognition
Zhiquan He, Jiantu Lv, Shizhang Fang
Neurocomputing (2024) Vol. 582, pp. 127495-127495
Closed Access | Times Cited: 2

Learning Representations by Contrastive Spatio-Temporal Clustering for Skeleton-Based Action Recognition
Mingdao Wang, Xueming Li, Siqi Chen, et al.
IEEE Transactions on Multimedia (2023) Vol. 26, pp. 3207-3220
Closed Access | Times Cited: 6

Self-Supervised 3D Behavior Representation Learning Based on Homotopic Hyperbolic Embedding
Jinghong Chen, Zhihao Jin, Qicong Wang, et al.
IEEE Transactions on Image Processing (2023) Vol. 32, pp. 6061-6074
Open Access | Times Cited: 5

Unified Multi-modal Unsupervised Representation Learning for Skeleton-based Action Understanding
Shengkai Sun, Daizong Liu, Jianfeng Dong, et al.
(2023), pp. 2973-2984
Open Access | Times Cited: 4

Unsupervised 3D Skeleton-Based Action Recognition using Cross-Attention with Conditioned Generation Capabilities
David Lerch, Zeyun Zhong, Manuel Martín, et al.
(2024), pp. 202-211
Closed Access | Times Cited: 1

Position‐aware spatio‐temporal graph convolutional networks for skeleton‐based action recognition
Ping Yang, Qin Wang, Hao Chen, et al.
IET Computer Vision (2023) Vol. 17, Iss. 7, pp. 844-854
Open Access | Times Cited: 2

Mutual Information Driven Equivariant Contrastive Learning for 3D Action Representation Learning
Lilang Lin, Jiahang Zhang, Jiaying Liu
IEEE Transactions on Image Processing (2024) Vol. 33, pp. 1883-1897
Closed Access

Localized Linear Temporal Dynamics for Self-supervised Skeleton Action Recognition
Xinghan Wang, Yadong Mu
IEEE Transactions on Multimedia (2024) Vol. 26, pp. 10189-10199
Closed Access

Differential motion attention network for efficient action recognition
Caifeng Liu, Fangjie Gu
The Visual Computer (2024)
Closed Access

Localization and recognition of human action in 3D using transformers
Jiankai Sun, Linjiang Huang, Hongsong Wang, et al.
Communications Engineering (2024) Vol. 3, Iss. 1
Open Access

Multi-scale motion contrastive learning for self-supervised skeleton-based action recognition
Yushan Wu, Zengmin Xu, Mengwei Yuan, et al.
Multimedia Systems (2024) Vol. 30, Iss. 5
Closed Access

MacDiff: Unified Skeleton Modeling with Masked Conditional Diffusion
Limin Wu, Lilang Lin, Jiahang Zhang, et al.
Lecture notes in computer science (2024), pp. 110-128
Closed Access

Idempotent Unsupervised Representation Learning for Skeleton-Based Action Recognition
Lilang Lin, Lehong Wu, Jiahang Zhang, et al.
Lecture notes in computer science (2024), pp. 75-92
Closed Access

OTM-HC: Enhanced Skeleton-Based Action Representation via One-to-Many Hierarchical Contrastive Learning
Muhammad Usman, Wenming Cao, Zhao Huang, et al.
AI (2024) Vol. 5, Iss. 4, pp. 2170-2186
Open Access

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