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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:

Space-Time-Separable Graph Convolutional Network for Pose Forecasting
Theodoros Sofianos, Alessio Sampieri, Luca Franco, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021), pp. 11189-11198
Open Access | Times Cited: 118

Showing 1-25 of 118 citing articles:

Progressively Generating Better Initial Guesses Towards Next Stages for High-Quality Human Motion Prediction
Tiezheng Ma, Yongwei Nie, Chengjiang Long, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 6427-6436
Open Access | Times Cited: 94
Back to MLP: A Simple Baseline for Human Motion Prediction
W. Guo, Yuming Du, Xi Shen, et al.
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2023), pp. 4798-4808
Open Access | Times Cited: 77
Spatio-Temporal Gating-Adjacency GCN for Human Motion Prediction
Chongyang Zhong, Lei Hu, Zihao Zhang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 6437-6446
Open Access | Times Cited: 74
MotionMixer: MLP-based 3D Human Body Pose Forecasting
Arij Bouazizi, Adrian Holzbock, Ulrich Kreßel, et al.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (2022)
Open Access | Times Cited: 44
Multi-Person Extreme Motion Prediction
W. Guo, Xiaoyu Bie, Xavier Alameda-Pineda, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 13043-13054
Open Access | Times Cited: 41
Skeleton-Parted Graph Scattering Networks for 3D Human Motion Prediction
Maosen Li, Siheng Chen, Zijing Zhang, et al.
Lecture notes in computer science (2022), pp. 18-36
Closed Access | Times Cited: 38
HumanMAC: Masked Motion Completion for Human Motion Prediction
Ling-Hao Chen, Jiawei Zhang, Yewen Li, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023)
Open Access | Times Cited: 33
Dynamic Dense Graph Convolutional Network for Skeleton-Based Human Motion Prediction
Xinshun Wang, W. Zhang, Can Wang, et al.
IEEE Transactions on Image Processing (2023) Vol. 33, pp. 1-15
Open Access | Times Cited: 28
Human Joint Kinematics Diffusion-Refinement for Stochastic Motion Prediction
Wei Dong, Huaijiang Sun, Bin Li, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 5, pp. 6110-6118
Open Access | Times Cited: 24
A generic diffusion-based approach for 3D human pose prediction in the wild
Saeed Saadatnejad, Ali Rasekh, Mohammadreza Mofayezi, et al.
(2023), pp. 8246-8253
Open Access | Times Cited: 24
MoDi: Unconditional Motion Synthesis from Diverse Data
Sigal Raab, Inbal Leibovitch, Peizhuo Li, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 13873-13883
Open Access | Times Cited: 23
Pedestrian Graph +: A Fast Pedestrian Crossing Prediction Model Based on Graph Convolutional Networks
Pablo Rodrigo Gantier Cadena, Yeqiang Qian, Chunxiang Wang, et al.
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 23, Iss. 11, pp. 21050-21061
Closed Access | Times Cited: 33
Multimodal Motion Conditioned Diffusion Model for Skeleton-based Video Anomaly Detection
Alessandro Flaborea, Luca Collorone, Guido Maria D’Amely di Melendugno, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 10284-10295
Open Access | Times Cited: 20
Auxiliary Tasks Benefit 3D Skeleton-based Human Motion Prediction
Chenxin Xu, Robby T. Tan, Yu-Hong Tan, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 9475-9486
Open Access | Times Cited: 16
GCNext: Towards the Unity of Graph Convolutions for Human Motion Prediction
Xinshun Wang, Qiongjie Cui, Chen Chen, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 6, pp. 5642-5650
Open Access | Times Cited: 6
Diverse Human Motion Prediction Guided by Multi-level Spatial-Temporal Anchors
Sirui Xu, Yu-Xiong Wang, Liang-Yan Gui
Lecture notes in computer science (2022), pp. 251-269
Closed Access | Times Cited: 26
Pose Forecasting in Industrial Human-Robot Collaboration
Alessio Sampieri, Guido Maria D’Amely di Melendugno, Andrea Avogaro, et al.
Lecture notes in computer science (2022), pp. 51-69
Closed Access | Times Cited: 25
Spatiotemporal Propagation Learning for Network-Wide Flight Delay Prediction
Yuankai Wu, Hongyu Yang, Yi Lin, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 36, Iss. 1, pp. 386-400
Open Access | Times Cited: 15
Interaction Transformer for Human Reaction Generation
Baptiste Chopin, Hao Tang, Naima Otberdout, et al.
IEEE Transactions on Multimedia (2023) Vol. 25, pp. 8842-8854
Open Access | Times Cited: 14
Learning Constrained Dynamic Correlations in Spatiotemporal Graphs for Motion Prediction
Jiajun Fu, Fuxing Yang, Yonghao Dang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 10, pp. 14273-14287
Open Access | Times Cited: 14
Contracting skeletal kinematics for human-related video anomaly detection
Alessandro Flaborea, Guido Maria D’Amely di Melendugno, Stefano D’Arrigo, et al.
Pattern Recognition (2024) Vol. 156, pp. 110817-110817
Open Access | Times Cited: 5
DE-TGN: Uncertainty-Aware Human Motion Forecasting Using Deep Ensembles
Kareem Eltouny, Wansong Liu, Sibo Tian, et al.
IEEE Robotics and Automation Letters (2024) Vol. 9, Iss. 3, pp. 2192-2199
Open Access | Times Cited: 4
Bipartite Graph Diffusion Model for Human Interaction Generation
Baptiste Chopin, Hao Tang, Mohamed Daoudi
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024), pp. 5321-5330
Open Access | Times Cited: 4
Web-Based Semantic Framework for Enhanced Human Motion Prediction With MSTIA-Net
HE Yu-hua, Pengjun Wang, Xiaochun Guan, et al.
International Journal on Semantic Web and Information Systems (2025) Vol. 21, Iss. 1, pp. 1-17
Open Access
A Spatio-Temporal Transformer for Enhancing the Coherence on 3D Human Motion Prediction
M. Xie, Lei Wang, Feng Liu
Lecture notes in computer science (2025), pp. 79-89
Closed Access
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