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:

Action recognition based on RGB and skeleton data sets: A survey
Rujing Yue, Zhiqiang Tian, Shaoyi Du
Neurocomputing (2022) Vol. 512, pp. 287-306
Closed Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

Transformer for Skeleton-based action recognition: A review of recent advances
Wentian Xin, Ruyi Liu, Yi Liu, et al.
Neurocomputing (2023) Vol. 537, pp. 164-186
Closed Access | Times Cited: 46

MCP: Multi-Chicken Pose Estimation Based on Transfer Learning
Cheng Fang, Zhenlong Wu, Haikun Zheng, et al.
Animals (2024) Vol. 14, Iss. 12, pp. 1774-1774
Open Access | Times Cited: 9

Isolated Sign Language Recognition based on Tree Structure Skeleton Images
David Laines, Miguel González-Mendoza, Gilberto Ochoa‐Ruiz, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2023), pp. 276-284
Open Access | Times Cited: 14

Focalized contrastive view-invariant learning for self-supervised skeleton-based action recognition
Qianhui Men, Edmond S. L. Ho, Hubert P. H. Shum, et al.
Neurocomputing (2023) Vol. 537, pp. 198-209
Open Access | Times Cited: 13

Human motion prediction model with decoupled behavior and pose
Langtian Lang, Yinshuo Sun, Bowen Ni, et al.
Pattern Recognition Letters (2025)
Closed Access

Enhancing small object detection in aerial imagery using YOLOv8 architecture: A study on small birds detection
Mrugendrasinh Rahevar, Nisarg Shah, H. K. Pathak, et al.
AIP conference proceedings (2025) Vol. 3255, pp. 030001-030001
Closed Access

SHoTGCN: Spatial high-order temporal GCN for skeleton-based action recognition
Qiyu Liu, Ying Wu, Bicheng Li, et al.
Neurocomputing (2025), pp. 129697-129697
Closed Access

An In-Depth Analysis of 2D and 3D Pose Estimation Techniques in Deep Learning: Methodologies and Advances
Ruiyang Sun, Zixiang Lin, Shuang Leng, et al.
Electronics (2025) Vol. 14, Iss. 7, pp. 1307-1307
Open Access

D-STGCNT: A Dense Spatio-Temporal Graph Conv-GRU Network based on transformer for assessment of patient physical rehabilitation
Youssef Mourchid, Rim Slama
Computers in Biology and Medicine (2023) Vol. 165, pp. 107420-107420
Open Access | Times Cited: 12

A Novel Two-Stream Transformer-Based Framework for Multi-Modality Human Action Recognition
Jing Shi, Yuanyuan Zhang, Weihang Wang, et al.
Applied Sciences (2023) Vol. 13, Iss. 4, pp. 2058-2058
Open Access | Times Cited: 11

Glimpse and focus: Global and local-scale graph convolution network for skeleton-based action recognition
Xuehao Gao, Shaoyi Du, Yang Yang
Neural Networks (2023) Vol. 167, pp. 551-558
Closed Access | Times Cited: 10

MLP-AIR: An effective MLP-based module for actor interaction relation learning in group activity recognition
Guoliang Xu, Jianqin Yin, Shaojie Zhang, et al.
Knowledge-Based Systems (2024) Vol. 304, pp. 112453-112453
Closed Access | Times Cited: 3

A light-weight skeleton human action recognition model with knowledge distillation for edge intelligent surveillance applications
Cheng Dai, Shoupeng Lu, Chuanjie Liu, et al.
Applied Soft Computing (2023) Vol. 151, pp. 111166-111166
Closed Access | Times Cited: 8

STDM-transformer: Space-time dual multi-scale transformer network for skeleton-based action recognition
Zhifu Zhao, Ziwei Chen, Jianan Li, et al.
Neurocomputing (2023) Vol. 563, pp. 126903-126903
Closed Access | Times Cited: 6

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

Multimodal cooperative self‐attention network for action recognition
Zhuokun Zhong, Zhenjie Hou, Jiuzhen Liang, et al.
IET Image Processing (2023) Vol. 17, Iss. 6, pp. 1775-1783
Open Access | Times Cited: 5

A motion-aware and temporal-enhanced Spatial–Temporal Graph Convolutional Network for skeleton-based human action segmentation
Shurong Chai, Rahul Kumar Jain, Jiaqing Liu, et al.
Neurocomputing (2024) Vol. 580, pp. 127482-127482
Closed Access | Times Cited: 1

Enhancing human behavior recognition with spatiotemporal graph convolutional neural networks and skeleton sequences
Jianmin Xu, Fenglin Liu, Qinghui Wang, et al.
EURASIP Journal on Advances in Signal Processing (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 1

Rethinking group activity recognition under the open set condition
Liping Zhu, Silin Wu, Xianxiang Chang, et al.
The Visual Computer (2024)
Closed Access | Times Cited: 1

Exposing Data Leakage in Wi-Fi CSI-Based Human Action Recognition: A Critical Analysis
Domonkos Varga
Inventions (2024) Vol. 9, Iss. 4, pp. 90-90
Open Access | Times Cited: 1

Language-guided temporal primitive modeling for skeleton-based action recognition
Qingzhe Pan, Xuemei Xie
Neurocomputing (2024), pp. 128636-128636
Closed Access | Times Cited: 1

Fusing CNNs and attention-mechanisms to improve real-time indoor Human Activity Recognition for classifying home-based physical rehabilitation exercises
Moamen Zaher, Amr S. Ghoneim, Laila Abdelhamid, et al.
Computers in Biology and Medicine (2024) Vol. 184, pp. 109399-109399
Closed Access | Times Cited: 1

Multi-receptive field spatiotemporal network for action recognition
Mu Nie, Sen Yang, Zhenhua Wang, et al.
International Journal of Machine Learning and Cybernetics (2023) Vol. 14, Iss. 7, pp. 2439-2453
Closed Access | Times Cited: 2

An edge thinning algorithm based on newly defined single‐pixel edge patterns
Lijuan Ren, Xionghui Wang, Nina Wang, et al.
IET Image Processing (2022) Vol. 17, Iss. 4, pp. 1161-1169
Open Access | Times Cited: 3

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