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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:

Skeleton-Based Action Recognition Using Spatio-Temporal LSTM Network with Trust Gates
Jun Liu, Amir Shahroudy, Dong Xu, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2017) Vol. 40, Iss. 12, pp. 3007-3021
Open Access | Times Cited: 485

Showing 1-25 of 485 citing articles:

NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding
Jun Liu, Amir Shahroudy, Mauricio Pérez, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2019) Vol. 42, Iss. 10, pp. 2684-2701
Open Access | Times Cited: 1270
LSTM-CNN Architecture for Human Activity Recognition
Kun Xia, Jianguang Huang, Hanyu Wang
IEEE Access (2020) Vol. 8, pp. 56855-56866
Open Access | Times Cited: 620
Skeleton-Based Human Action Recognition With Global Context-Aware Attention LSTM Networks
Jun Liu, Gang Wang, Ling‐Yu Duan, et al.
IEEE Transactions on Image Processing (2017) Vol. 27, Iss. 4, pp. 1586-1599
Open Access | Times Cited: 558
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
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
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 Clip Representations for Skeleton-Based 3D Action Recognition
Qiuhong Ke, Mohammed Bennamoun, Senjian An, et al.
IEEE Transactions on Image Processing (2018) Vol. 27, Iss. 6, pp. 2842-2855
Closed Access | Times Cited: 262
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
Survey on Deep Neural Networks in Speech and Vision Systems
Mahbubul Alam, Manar D. Samad, Lasitha Vidyaratne, et al.
Neurocomputing (2020) Vol. 417, pp. 302-321
Open Access | Times Cited: 200
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
SkeleMotion: A New Representation of Skeleton Joint Sequences based on Motion Information for 3D Action Recognition
Carlos Caetano, Jessica Sena, Franeois Bremond, et al.
(2019)
Open Access | Times Cited: 188
Optimized Skeleton-based Action Recognition via Sparsified Graph Regression
Xiang Gao, Wei Hu, Jiaxiang Tang, et al.
Proceedings of the 30th ACM International Conference on Multimedia (2019)
Open Access | Times Cited: 178
Skeleton-Based Online Action Prediction Using Scale Selection Network
Jun Liu, Amir Shahroudy, Gang Wang, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2019) Vol. 42, Iss. 6, pp. 1453-1467
Open Access | Times Cited: 165
Deep Gait Recognition: A Survey
Alireza Sepas‐Moghaddam, Ali Etemad
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022) Vol. 45, Iss. 1, pp. 264-284
Open Access | Times Cited: 165
Skeleton Image Representation for 3D Action Recognition Based on Tree Structure and Reference Joints
Carlos Caetano, François Brémond, William Robson Schwartz
(2019)
Open Access | Times Cited: 146
Online joint-prediction of multi-forward-step battery SOC using LSTM neural networks and multiple linear regression for real-world electric vehicles
Jichao Hong, Zhenpo Wang, Wen Chen, et al.
Journal of Energy Storage (2020) Vol. 30, pp. 101459-101459
Open Access | Times Cited: 146
Holistic LSTM for Pedestrian Trajectory Prediction
Ruijie Quan, Linchao Zhu, Yu Wu, et al.
IEEE Transactions on Image Processing (2021) Vol. 30, pp. 3229-3239
Closed Access | Times Cited: 117
Memory Attention Networks for Skeleton-Based Action Recognition
Ce Li, Chunyu Xie, Baochang Zhang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 33, Iss. 9, pp. 4800-4814
Open Access | Times Cited: 113
Early, intermediate and late fusion strategies for robust deep learning-based multimodal action recognition
Said Yacine Boulahia, Abdenour Amamra, Mohamed Ridha Madi, et al.
Machine Vision and Applications (2021) Vol. 32, Iss. 6
Closed Access | Times Cited: 109
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
MotionBERT: A Unified Perspective on Learning Human Motion Representations
Wentao Zhu, Xiaoxuan Ma, Zhaoyang Liu, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 15039-15053
Open Access | Times Cited: 82
Vessel Trajectory Prediction in Maritime Transportation: Current Approaches and Beyond
Xiaocai Zhang, Xiuju Fu, Zhe Xiao, et al.
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 23, Iss. 11, pp. 19980-19998
Closed Access | Times Cited: 79
A discriminative multi-modal adaptation neural network model for video action recognition
Lei Gao, Kai Liu, Ling Guan
Neural Networks (2025) Vol. 185, pp. 107114-107114
Closed Access | Times Cited: 1
Using a stacked residual LSTM model for sentiment intensity prediction
Jin Wang, Bo Peng, Xuejie Zhang
Neurocomputing (2018) Vol. 322, pp. 93-101
Closed Access | Times Cited: 138
Learning Progressive Joint Propagation for Human Motion Prediction
Yujun Cai, Lin Huang, Yiwei Wang, et al.
Lecture notes in computer science (2020), pp. 226-242
Closed Access | Times Cited: 131
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