Xiaofei Zhou

2.0k total citations · 1 hit paper
84 papers, 1.3k citations indexed

About

Xiaofei Zhou is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Industrial and Manufacturing Engineering. According to data from OpenAlex, Xiaofei Zhou has authored 84 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Computer Vision and Pattern Recognition, 21 papers in Media Technology and 12 papers in Industrial and Manufacturing Engineering. Recurrent topics in Xiaofei Zhou's work include Visual Attention and Saliency Detection (54 papers), Advanced Image and Video Retrieval Techniques (29 papers) and Advanced Neural Network Applications (26 papers). Xiaofei Zhou is often cited by papers focused on Visual Attention and Saliency Detection (54 papers), Advanced Image and Video Retrieval Techniques (29 papers) and Advanced Neural Network Applications (26 papers). Xiaofei Zhou collaborates with scholars based in China, United Kingdom and Canada. Xiaofei Zhou's co-authors include Zhi Liu, Jiyong Zhang, Chenggang Yan, Yaoqi Sun, Bolun Zheng, Chen Gong, Runmin Cong, Ran Shi, Haibing Yin and Guangling Sun and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and Optics Express.

In The Last Decade

Xiaofei Zhou

73 papers receiving 1.3k citations

Hit Papers

Decoupling and Integration Network for Camouflaged Object... 2024 2026 2025 2024 10 20 30 40 50

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaofei Zhou China 20 1.1k 294 200 196 103 84 1.3k
Bolun Zheng China 15 788 0.7× 198 0.7× 108 0.5× 257 1.3× 16 0.2× 54 1.1k
Keren Fu China 25 2.1k 2.0× 343 1.2× 63 0.3× 281 1.4× 298 2.9× 99 2.4k
Hongbo Bi China 16 649 0.6× 113 0.4× 27 0.1× 70 0.4× 51 0.5× 108 876
Michael Donoser Austria 16 1000 0.9× 126 0.4× 58 0.3× 206 1.1× 42 0.4× 60 1.3k
Wen-Yan Lin Singapore 12 2.0k 1.9× 155 0.5× 49 0.2× 728 3.7× 190 1.8× 22 2.2k
Hongyang Li China 14 806 0.8× 90 0.3× 57 0.3× 126 0.6× 82 0.8× 25 1.0k
Lianfa Bai China 20 509 0.5× 294 1.0× 181 0.9× 109 0.6× 11 0.1× 150 1.4k
Joon‐Young Lee South Korea 27 2.0k 1.9× 328 1.1× 58 0.3× 237 1.2× 8 0.1× 70 2.4k

Countries citing papers authored by Xiaofei Zhou

Since Specialization
Citations

This map shows the geographic impact of Xiaofei 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 Xiaofei Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaofei Zhou more than expected).

Fields of papers citing papers by Xiaofei Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaofei 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 Xiaofei Zhou. The network helps show where Xiaofei Zhou may publish in the future.

Co-authorship network of co-authors of Xiaofei Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaofei Zhou. A scholar is included among the top collaborators of Xiaofei 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 Xiaofei Zhou. Xiaofei 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, Xiaofei, et al.. (2025). Temporal knowledge graph link predictions with query-guided temporal representation learning. Information Sciences. 708. 122035–122035.
2.
Zhou, Xiaofei, et al.. (2025). Hierarchical spatiotemporal Feature Interaction Network for video saliency prediction. Image and Vision Computing. 154. 105413–105413. 2 indexed citations
3.
Cong, Runmin, et al.. (2025). RDNet: Region Proportion-Aware Dynamic Adaptive Salient Object Detection Network in Optical Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–12.
4.
Liu, Deyang, et al.. (2025). Learning Implicit and Detail-Enhanced Network for Light Field Image Spatial-Angular Super-Resolution. IEEE Transactions on Circuits and Systems for Video Technology. 36(2). 1544–1557.
5.
Cui, Fang, et al.. (2025). Multi-modal feature integration network for Visible-Depth-Thermal salient object detection. Engineering Applications of Artificial Intelligence. 152. 110734–110734.
6.
Fang, Hao, Runmin Cong, Xiankai Lu, et al.. (2025). Decoupled Motion Expression Video Segmentation. 13821–13831. 1 indexed citations
8.
Wu, Yong, et al.. (2025). Multiscale Adaptive Prototype Transformer Network for Few-Shot Strip Steel Surface Defect Segmentation. IEEE Transactions on Instrumentation and Measurement. 74. 1–14. 2 indexed citations
9.
Zhou, Xiaofei, Xiankai Lu, Yaoqi Sun, et al.. (2024). Quality-Aware Selective Fusion Network for V-D-T Salient Object Detection. IEEE Transactions on Image Processing. 33. 3212–3226. 20 indexed citations
10.
Liu, Deyang, et al.. (2024). Saliency-Guided No-Reference Omnidirectional Image Quality Assessment via Scene Content Perceiving. IEEE Transactions on Instrumentation and Measurement. 73. 1–15. 3 indexed citations
11.
Zhou, Xiaofei, et al.. (2024). MINet: Multiscale Interactive Network for Real-Time Salient Object Detection of Strip Steel Surface Defects. IEEE Transactions on Industrial Informatics. 20(5). 7842–7852. 45 indexed citations
12.
Zhou, Xiaofei, et al.. (2024). Interactive Fusion and Correlation Network for Three-Modal Images Few-Shot Semantic Segmentation. IEEE Signal Processing Letters. 31. 2430–2434. 3 indexed citations
13.
Zhou, Xiaofei, et al.. (2023). STI-Net: Spatiotemporal integration network for video saliency detection. Information Sciences. 628. 134–147. 14 indexed citations
14.
Zhou, Xiaofei, et al.. (2023). MFFNet: Multi-Modal Feature Fusion Network for V-D-T Salient Object Detection. IEEE Transactions on Multimedia. 26. 2069–2081. 25 indexed citations
15.
Zhou, Xiaofei, Bolun Zheng, Haibing Yin, et al.. (2023). LFRNet: Localizing, Focus, and Refinement Network for Salient Object Detection of Surface Defects. IEEE Transactions on Instrumentation and Measurement. 72. 1–12. 40 indexed citations
16.
Zhou, Xiaofei, et al.. (2023). Quality-Driven Dual-Branch Feature Integration Network for Video Salient Object Detection. Electronics. 12(3). 680–680. 4 indexed citations
17.
Zhou, Xiaofei, Hao Fang, Zhi Liu, et al.. (2021). Dense Attention-Guided Cascaded Network for Salient Object Detection of Strip Steel Surface Defects. IEEE Transactions on Instrumentation and Measurement. 71. 1–14. 102 indexed citations
18.
Yan, Chenggang, Xiaofei Zhou, Runmin Cong, et al.. (2021). Dynamic Selective Network for RGB-D Salient Object Detection. IEEE Transactions on Image Processing. 30. 9179–9192. 69 indexed citations
19.
Zhou, Xiaofei, et al.. (2021). Edge-Aware Multi-Level Interactive Network for Salient Object Detection of Strip Steel Surface Defects. IEEE Access. 9. 149465–149476. 39 indexed citations
20.
Lü, Peng, et al.. (2013). [Dispersion and analysis of odor pollution in landfill area under the enclosed operation condition].. PubMed. 34(3). 842–8. 4 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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