Feixiang Zhou

1.1k total citations · 1 hit paper
21 papers, 645 citations indexed

About

Feixiang Zhou is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Feixiang Zhou has authored 21 papers receiving a total of 645 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 3 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Feixiang Zhou's work include Human Pose and Action Recognition (7 papers), Advanced Neural Network Applications (4 papers) and Anomaly Detection Techniques and Applications (4 papers). Feixiang Zhou is often cited by papers focused on Human Pose and Action Recognition (7 papers), Advanced Neural Network Applications (4 papers) and Anomaly Detection Techniques and Applications (4 papers). Feixiang Zhou collaborates with scholars based in China, United Kingdom and Germany. Feixiang Zhou's co-authors include Huiyu Zhou, Long Chen, Zheheng Jiang, Zhihua Liu, Lei Tong, Qianni Zhang, Fengyin Li, Xiangrong Zhang, Yaochu Jin and Zhile Yang and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and IEEE Transactions on Medical Imaging.

In The Last Decade

Feixiang Zhou

18 papers receiving 618 citations

Hit Papers

Deep learning based brain tumor segmentation: a survey 2022 2026 2023 2024 2022 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Deep learning based brain tumor segmentation: a survey
    2022 209 citations Zhihua Liu, Lei Tong et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Feixiang Zhou China 10 314 212 187 78 69 21 645
Asra Aslam Ireland 6 489 1.6× 93 0.4× 154 0.8× 42 0.5× 58 0.8× 16 836
M. Kemal Güllü Türkiye 14 281 0.9× 74 0.3× 86 0.5× 8 0.1× 43 0.6× 92 629
Teerath Kumar Ireland 11 202 0.6× 30 0.1× 127 0.7× 31 0.4× 41 0.6× 15 580
Mohamed Adnane Mahraz Morocco 15 287 0.9× 137 0.6× 156 0.8× 25 0.3× 111 1.6× 62 581
Yifan Liu China 17 920 2.9× 24 0.1× 268 1.4× 17 0.2× 55 0.8× 50 1.3k
Ali Wali Tunisia 13 413 1.3× 191 0.9× 179 1.0× 6 0.1× 95 1.4× 78 741
Hanaa ZainEldin Egypt 10 296 0.9× 87 0.4× 119 0.6× 128 1.6× 59 0.9× 19 712
Joseph L. Cooper United States 10 256 0.8× 17 0.1× 106 0.6× 129 1.7× 7 0.1× 19 813
Xujing Yao United Kingdom 8 179 0.6× 95 0.4× 201 1.1× 25 0.3× 165 2.4× 11 617
Ali A. Pouyan Iran 14 149 0.5× 15 0.1× 121 0.6× 95 1.2× 14 0.2× 71 574

Countries citing papers authored by Feixiang Zhou

Since Specialization
Citations

This map shows the geographic impact of Feixiang Zhou's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Feixiang Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feixiang Zhou more than expected).

Fields of papers citing papers by Feixiang Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Feixiang Zhou. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Feixiang Zhou. The network helps show where Feixiang Zhou may publish in the future.

Co-authorship network of co-authors of Feixiang Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Feixiang Zhou. A scholar is included among the top collaborators of Feixiang Zhou based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Feixiang Zhou. Feixiang Zhou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhou, Feixiang, Xinyu Yang, Chen Fang, et al.. (2025). Cross-Skeleton Interaction Graph Aggregation Network for Representation Learning of Mouse Social Behavior. IEEE Transactions on Image Processing. 34. 623–638.
2.
3.
Zhou, Feixiang, Zheheng Jiang, Huiyu Zhou, & Xuelong Li. (2024). SMC-NCA: Semantic-Guided Multi-Level Contrast for Semi-Supervised Temporal Action Segmentation. IEEE Transactions on Multimedia. 26. 11386–11401.
4.
Zhou, Feixiang, et al.. (2024). A Hybrid CNN-Transformer Architecture for Noise Cancellation in Complex Environments. 349–352. 1 indexed citations
5.
Yang, Wenyan, et al.. (2023). Secular trends in the global burden of gout: an age-period-cohort and joinpoint analysis. Journal of Public Health. 33(5). 981–990. 1 indexed citations
6.
Fang, Chen, Heiko Balzter, Feixiang Zhou, Peng Ren, & Huiyu Zhou. (2023). DGNet: Distribution Guided Efficient Learning for Oil Spill Image Segmentation. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–17. 12 indexed citations
7.
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Tong, Lei, Zhihua Liu, Zheheng Jiang, et al.. (2022). Cost-Sensitive Boosting Pruning Trees for Depression Detection on Twitter. IEEE Transactions on Affective Computing. 14(3). 1898–1911. 36 indexed citations
10.
Chen, Long, Feixiang Zhou, Shengke Wang, et al.. (2022). SWIPENET: Object detection in noisy underwater scenes. Pattern Recognition. 132. 108926–108926. 84 indexed citations
11.
Wu, Chengke, Yuanjun Guo, Rui Jiang, et al.. (2022). Transformer-based deep learning model and video dataset for unsafe action identification in construction projects. Automation in Construction. 146. 104703–104703. 46 indexed citations
12.
Guo, Yuanjun, et al.. (2022). TS-D3D: A novel two-stream model for Action Recognition. 179–182. 2 indexed citations
13.
Jiang, Zheheng, Feixiang Zhou, Aite Zhao, et al.. (2021). Multi-View Mouse Social Behaviour Recognition With Deep Graphic Model. IEEE Transactions on Image Processing. 30. 5490–5504. 13 indexed citations
14.
Zhou, Feixiang, Zheheng Jiang, Zhihua Liu, et al.. (2021). Structured Context Enhancement Network for Mouse Pose Estimation. IEEE Transactions on Circuits and Systems for Video Technology. 32(5). 2787–2801. 11 indexed citations
15.
Liu, Zhihua, Lei Tong, Long Chen, et al.. (2021). CANet: Context Aware Network for Brain Glioma Segmentation. IEEE Transactions on Medical Imaging. 40(7). 1763–1777. 67 indexed citations
16.
Ye, Wei, Yueru Xu, Feixiang Zhou, Xiaomeng Shi, & Zhirui Ye. (2021). Investigation of Bus Drivers’ Reaction to ADAS Warning System: Application of the Gaussian Mixed Model. Sustainability. 13(16). 8759–8759. 6 indexed citations
17.
Guo, Yuanjun, et al.. (2020). A Real-Time Safety Helmet Wearing Detection Approach Based on CSYOLOv3. Applied Sciences. 10(19). 6732–6732. 41 indexed citations
18.
Zhou, Feixiang, et al.. (2020). Evaluation of Machine Learning Algorithms for Anomaly Detection. ResearchOnline. 1–8. 110 indexed citations
19.
Zhou, Feixiang, et al.. (2018). Human localization and tracking system based on multiple depth cameras in VR Scene. 10. 340–345. 1 indexed citations
20.
Zhou, Feixiang, et al.. (2018). Human Pose Recognition Based on Depth Image Multifeature Fusion. Complexity. 2018(1). 3 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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