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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:

Multi-head attention-based two-stream EfficientNet for action recognition
Aihua Zhou, Yujun Ma, Wanting Ji, et al.
Multimedia Systems (2022) Vol. 29, Iss. 2, pp. 487-498
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

k-NN attention-based video vision transformer for action recognition
Weirong Sun, Yujun Ma, Ruili Wang
Neurocomputing (2024) Vol. 574, pp. 127256-127256
Open Access | Times Cited: 17
Workout Action Recognition in Video Streams Using an Attention Driven Residual DC-GRU Network
Arnab Dey, Samit Biswas, Dac‐Nhuong Le
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 79, Iss. 2, pp. 3067-3087
Open Access | Times Cited: 7
Basketball action recognition based on the combination of YOLO and a deep fuzzy LSTM network
Soroush Babaee Khobdeh, Mohammad Reza Yamaghani, Siavash Khodaparast Sareshkeh
The Journal of Supercomputing (2023) Vol. 80, Iss. 3, pp. 3528-3553
Closed Access | Times Cited: 16
An Improved Deep Learning Model with Dynamic Self-Attention Mechanism for Plant Disease Classification
Gopi Krishna Akella
(2025)
Closed Access
Chrysanthemum classification method integrating deep visual features from both the front and back sides
Yifan Chen, Xichen Yang, Yan Hui, et al.
Frontiers in Plant Science (2025) Vol. 15
Open Access
Human Action Recognition Based on 3D Convolution and Multi-Attention Transformer
Minghua Liu, Wen J. Li, Bo He, et al.
Applied Sciences (2025) Vol. 15, Iss. 5, pp. 2695-2695
Open Access
Residual deep gated recurrent unit-based attention framework for human activity recognition by exploiting dilated features
Ajeet Pandey, Piyush Kumar
The Visual Computer (2024) Vol. 40, Iss. 12, pp. 8693-8712
Closed Access | Times Cited: 3
Video-Based Action Recognition of Spatial and Temporal Deep Learning Models
M. Jayamohan, S. Yuvaraj
Lecture notes in networks and systems (2024), pp. 379-391
Closed Access | Times Cited: 3
You watch once more: a more effective CNN architecture for video spatio-temporal action localization
Yefeng Qin, Lei Chen, Xianye Ben, et al.
Multimedia Systems (2024) Vol. 30, Iss. 1
Open Access | Times Cited: 2
MA-VLAD: a fine-grained local feature aggregation scheme for action recognition
Na Feng, Ying Tang, Zikai Song, et al.
Multimedia Systems (2024) Vol. 30, Iss. 3
Closed Access | Times Cited: 2
CSDNet: A Novel Deep Learning Framework for Improved Cataract State Detection
Lahari P.L, Ramesh Vaddi, Mahmoud O. Elish, et al.
Diagnostics (2024) Vol. 14, Iss. 10, pp. 983-983
Open Access | Times Cited: 2
Human Action Representation Learning Using an Attention-Driven Residual 3DCNN Network
Hayat Ullah, Arslan Munir
Algorithms (2023) Vol. 16, Iss. 8, pp. 369-369
Open Access | Times Cited: 5
Comprehensive comparison of modified deep convolutional neural networks for automated detection of external and middle ear conditions
Kemal Akyol
Neural Computing and Applications (2024) Vol. 36, Iss. 10, pp. 5529-5544
Open Access | Times Cited: 1
Evaluating the Performance of Mobile-Convolutional Neural Networks for Spatial and Temporal Human Action Recognition Analysis
Stavros N. Moutsis, Konstantinos A. Tsintotas, Ioannis Kansizoglou, et al.
Robotics (2023) Vol. 12, Iss. 6, pp. 167-167
Open Access | Times Cited: 4
Iv3-MGRUA: a novel human action recognition features extraction using Inception v3 and video behaviour prediction using modified gated recurrent units with attention mechanism model
M. Jayamohan, S. Yuvaraj
Signal Image and Video Processing (2024) Vol. 19, Iss. 2
Closed Access | Times Cited: 1
Chrysanthemum Classification Method Integrating Deep Visual Features from both the Front and Back Sides
Yifan Chen, Xichen Yang, Yan Hui, et al.
Research Square (Research Square) (2024)
Open Access
Cross-modal guides spatio-temporal enrichment network for few-shot action recognition
Zhiwen Chen, Yi Yang, Li Li, et al.
Applied Intelligence (2024) Vol. 54, Iss. 22, pp. 11196-11211
Closed Access
DESNet: Real-time human pose estimation for sports applications combining IoT and deep learning
Rongbao Huang, Bo Zhang, Zhixin Yao, et al.
Alexandria Engineering Journal (2024) Vol. 112, pp. 293-306
Closed Access
Classification of Kitchen Utensils in Noisy Condition Using YOLOv5 with Multiple Deep Learning Backbones
Hashim Rosli, Rozniza Ali, Ashanira Mat Deris, et al.
(2024), pp. 297-302
Closed Access
MLKD-CLIP：Multi-layer Feature Knowledge Distillation of CLIP for Open-Vocabulary Action Recognition
Jingjing Wang, Junyong Ye, Xinyuan Liu, et al.
Research Square (Research Square) (2024)
Open Access
Second-order transformer network for video recognition
Jianxin Zhang, Wei Dong, Zhenwei Wang, et al.
Alexandria Engineering Journal (2024) Vol. 114, pp. 82-94
Open Access
Free-FreeSLT: A Gloss-Free Parameter-Free model for Sign Language Translation
Weirong Sun, Yujun Ma, Ruili Wang
(2024), pp. 1-4
Closed Access
You Watch Once More: A More Effective CNN Architecture for Video Spatio-Temporal Action Localization
Yefeng Qin, Lei Chen, Xianye Ben, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
Leveraging FFT and Hybrid EfficientNet for Enhanced Action Recognition in Video Sequences
Nguyen Nang Hung Van, Phuc Hao, Van Nam Hoang, et al.
(2023), pp. 32-39
Closed Access | Times Cited: 1
ConTrans-Detect: A Multi-Scale Convolution-Transformer Network for DeepFake Video Detection
Weirong Sun, Yujun Ma, Zhang Hong, et al.
2021 27th International Conference on Mechatronics and Machine Vision in Practice (M2VIP) (2023), pp. 1-6
Closed Access | Times Cited: 1
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