
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:
Temporal segment graph convolutional networks for skeleton-based action recognition
Chongyang Ding, Shan Wen, Wenwen Ding, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 110, pp. 104675-104675
Closed Access | Times Cited: 34
Chongyang Ding, Shan Wen, Wenwen Ding, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 110, pp. 104675-104675
Closed Access | Times Cited: 34
Showing 1-25 of 34 citing articles:
Transformer-based deep learning model and video dataset for unsafe action identification in construction projects
Meng Yang, Chengke Wu, Yuanjun Guo, et al.
Automation in Construction (2022) Vol. 146, pp. 104703-104703
Closed Access | Times Cited: 44
Meng Yang, Chengke Wu, Yuanjun Guo, et al.
Automation in Construction (2022) Vol. 146, pp. 104703-104703
Closed Access | Times Cited: 44
Lightweight channel-topology based adaptive graph convolutional network for skeleton-based action recognition
Kaixuan Wang, Hongmin Deng, Qilin Zhu
Neurocomputing (2023) Vol. 560, pp. 126830-126830
Open Access | Times Cited: 11
Kaixuan Wang, Hongmin Deng, Qilin Zhu
Neurocomputing (2023) Vol. 560, pp. 126830-126830
Open Access | Times Cited: 11
TAA-GCN: A temporally aware Adaptive Graph Convolutional Network for age estimation
Matthew Korban, Peter Youngs, Scott T. Acton
Pattern Recognition (2022) Vol. 134, pp. 109066-109066
Open Access | Times Cited: 16
Matthew Korban, Peter Youngs, Scott T. Acton
Pattern Recognition (2022) Vol. 134, pp. 109066-109066
Open Access | Times Cited: 16
Skeleton-based action recognition based on multidimensional adaptive dynamic temporal graph convolutional network
Yu Xia, Qingyuan Gao, Weiguan Wu, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107210-107210
Closed Access | Times Cited: 9
Yu Xia, Qingyuan Gao, Weiguan Wu, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107210-107210
Closed Access | Times Cited: 9
Explainable deep learning for sEMG-based similar gesture recognition: A Shapley-value-based solution
Feng Wang, Xiaohu Ao, Min Wu, et al.
Information Sciences (2024) Vol. 672, pp. 120667-120667
Closed Access | Times Cited: 3
Feng Wang, Xiaohu Ao, Min Wu, et al.
Information Sciences (2024) Vol. 672, pp. 120667-120667
Closed Access | Times Cited: 3
Dual-branch framework: AUV-based target recognition method for marine survey
Fei Yu, Bo He, Jixin Liu, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 115, pp. 105291-105291
Closed Access | Times Cited: 15
Fei Yu, Bo He, Jixin Liu, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 115, pp. 105291-105291
Closed Access | Times Cited: 15
A teacher–student deep learning strategy for extreme low resolution unsafe action recognition in construction projects
Meng Yang, Chengke Wu, Yuanjun Guo, et al.
Advanced Engineering Informatics (2023) Vol. 59, pp. 102294-102294
Closed Access | Times Cited: 8
Meng Yang, Chengke Wu, Yuanjun Guo, et al.
Advanced Engineering Informatics (2023) Vol. 59, pp. 102294-102294
Closed Access | Times Cited: 8
Feature reconstruction graph convolutional network for skeleton-based action recognition
Junhao Huang, Ziming Wang, Jian Peng, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106855-106855
Closed Access | Times Cited: 7
Junhao Huang, Ziming Wang, Jian Peng, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106855-106855
Closed Access | Times Cited: 7
Exploring incomplete decoupling modeling with window and cross-window mechanism for skeleton-based action recognition
Shengze Li, Xin Xiang, Jihong Fang, et al.
Knowledge-Based Systems (2023) Vol. 281, pp. 111074-111074
Closed Access | Times Cited: 7
Shengze Li, Xin Xiang, Jihong Fang, et al.
Knowledge-Based Systems (2023) Vol. 281, pp. 111074-111074
Closed Access | Times Cited: 7
Construction workers' unsafe behavior detection through adaptive spatiotemporal sampling and optimized attention based video monitoring
Mahdi Bonyani, Maryam Soleymani, Chao Wang
Automation in Construction (2024) Vol. 165, pp. 105508-105508
Closed Access | Times Cited: 2
Mahdi Bonyani, Maryam Soleymani, Chao Wang
Automation in Construction (2024) Vol. 165, pp. 105508-105508
Closed Access | Times Cited: 2
ConvST-LSTM-Net: convolutional spatiotemporal LSTM networks for skeleton-based human action recognition
Abhilasha Sharma, Roshni Singh
International Journal of Multimedia Information Retrieval (2023) Vol. 12, Iss. 2
Closed Access | Times Cited: 6
Abhilasha Sharma, Roshni Singh
International Journal of Multimedia Information Retrieval (2023) Vol. 12, Iss. 2
Closed Access | Times Cited: 6
Preserving complex object-centric graph structures to improve machine learning tasks in process mining
Jan Niklas Adams, Gyunam Park, Wil M. P. van der Aalst
Engineering Applications of Artificial Intelligence (2023) Vol. 125, pp. 106764-106764
Closed Access | Times Cited: 5
Jan Niklas Adams, Gyunam Park, Wil M. P. van der Aalst
Engineering Applications of Artificial Intelligence (2023) Vol. 125, pp. 106764-106764
Closed Access | Times Cited: 5
An overview of Graph Convolutional Networks in skeleton-based action recognition
Yan Jin
Applied and Computational Engineering (2024) Vol. 50, Iss. 1, pp. 245-251
Closed Access | Times Cited: 1
Yan Jin
Applied and Computational Engineering (2024) Vol. 50, Iss. 1, pp. 245-251
Closed Access | Times Cited: 1
Static graph convolution with learned temporal and channel-wise graph topology generation for skeleton-based action recognition
Chuankun Li, Shuai Li, Yanbo Gao, et al.
Computer Vision and Image Understanding (2024) Vol. 244, pp. 104012-104012
Closed Access | Times Cited: 1
Chuankun Li, Shuai Li, Yanbo Gao, et al.
Computer Vision and Image Understanding (2024) Vol. 244, pp. 104012-104012
Closed Access | Times Cited: 1
Deep learning based assembly process action recognition and progress prediction facing human-centric intelligent manufacturing
Zipeng Wang, Jihong Yan
Computers & Industrial Engineering (2024) Vol. 196, pp. 110527-110527
Closed Access | Times Cited: 1
Zipeng Wang, Jihong Yan
Computers & Industrial Engineering (2024) Vol. 196, pp. 110527-110527
Closed Access | Times Cited: 1
Rethinking vision transformer through human–object interaction detection
Yamin Cheng, Zitian Zhao, Zhi Wang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 122, pp. 106123-106123
Closed Access | Times Cited: 4
Yamin Cheng, Zitian Zhao, Zhi Wang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 122, pp. 106123-106123
Closed Access | Times Cited: 4
MFGCN: an efficient graph convolutional network based on multi-order feature information for human skeleton action recognition
Yongfeng Qi, Jinlin Hu, Xiang Han, et al.
Neural Computing and Applications (2023) Vol. 35, Iss. 27, pp. 19979-19995
Closed Access | Times Cited: 4
Yongfeng Qi, Jinlin Hu, Xiang Han, et al.
Neural Computing and Applications (2023) Vol. 35, Iss. 27, pp. 19979-19995
Closed Access | Times Cited: 4
A Study of Dance Movement Capture and Posture Recognition Method Based on Vision Sensors
Qun Wang, Gang Tong, Sichao Zhou
HighTech and Innovation Journal (2023) Vol. 4, Iss. 2, pp. 283-293
Open Access | Times Cited: 3
Qun Wang, Gang Tong, Sichao Zhou
HighTech and Innovation Journal (2023) Vol. 4, Iss. 2, pp. 283-293
Open Access | Times Cited: 3
Enhancing motion visual cues for self-supervised video representation learning
Mu Nie, Zhibin Quan, Weiping Ding, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106203-106203
Closed Access | Times Cited: 2
Mu Nie, Zhibin Quan, Weiping Ding, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106203-106203
Closed Access | Times Cited: 2
Human Pose Prediction Using Interpretable Graph Convolutional Network for Smart Home
Boyu Yang, Liyazhou Hu, Yuyang Peng, et al.
IEEE Transactions on Consumer Electronics (2023) Vol. 70, Iss. 1, pp. 876-888
Closed Access | Times Cited: 2
Boyu Yang, Liyazhou Hu, Yuyang Peng, et al.
IEEE Transactions on Consumer Electronics (2023) Vol. 70, Iss. 1, pp. 876-888
Closed Access | Times Cited: 2
Pairnorm based Graphical Convolution Network for zero-shot multi-label classification
Vikas Chauhan, Aruna Tiwari
Engineering Applications of Artificial Intelligence (2022) Vol. 114, pp. 105012-105012
Closed Access | Times Cited: 3
Vikas Chauhan, Aruna Tiwari
Engineering Applications of Artificial Intelligence (2022) Vol. 114, pp. 105012-105012
Closed Access | Times Cited: 3
Key Frame Selection for Temporal Graph Optimization of Skeleton-Based Action Recognition
Jingyi Hou, Lei Su, Yan Zhao
Applied Sciences (2024) Vol. 14, Iss. 21, pp. 9947-9947
Open Access
Jingyi Hou, Lei Su, Yan Zhao
Applied Sciences (2024) Vol. 14, Iss. 21, pp. 9947-9947
Open Access
Design of Engineering English Translation Intelligent Recognition Model Based on Improved GLR Algorithm
Chen Liu
Lecture notes in electrical engineering (2024), pp. 180-185
Closed Access
Chen Liu
Lecture notes in electrical engineering (2024), pp. 180-185
Closed Access
Spatio-temporal neural network with handcrafted features for skeleton-based action recognition
Mihai Nan, Mihai Trăşcău, Adina Magda Florea
Neural Computing and Applications (2024) Vol. 36, Iss. 16, pp. 9221-9243
Open Access
Mihai Nan, Mihai Trăşcău, Adina Magda Florea
Neural Computing and Applications (2024) Vol. 36, Iss. 16, pp. 9221-9243
Open Access
Human Action Recognition Utilizing Doppler-Enhanced Convolutional 3D Networks
Mukhiddin Toshpulatov, Wookey Lee, Chingiz Tursunbaev, et al.
(2024), pp. 475-478
Closed Access
Mukhiddin Toshpulatov, Wookey Lee, Chingiz Tursunbaev, et al.
(2024), pp. 475-478
Closed Access