Fei Zhou

1.9k total citations · 2 hit papers
35 papers, 1.3k citations indexed

About

Fei Zhou is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Mechanics of Materials. According to data from OpenAlex, Fei Zhou has authored 35 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Aerospace Engineering, 9 papers in Computer Vision and Pattern Recognition and 7 papers in Mechanics of Materials. Recurrent topics in Fei Zhou's work include Infrared Target Detection Methodologies (12 papers), Thermography and Photoacoustic Techniques (6 papers) and Calibration and Measurement Techniques (4 papers). Fei Zhou is often cited by papers focused on Infrared Target Detection Methodologies (12 papers), Thermography and Photoacoustic Techniques (6 papers) and Calibration and Measurement Techniques (4 papers). Fei Zhou collaborates with scholars based in China, United States and New Zealand. Fei Zhou's co-authors include Yiquan Wu, Yimian Dai, Kang Tong, Kobus Barnard, Wei Wei, Lei Zhang, Jian Yang, Xiang Li, Yaohong Chen and Peng Wang and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Expert Systems with Applications and IEEE Access.

In The Last Decade

Fei Zhou

32 papers receiving 1.2k citations

Hit Papers

Asymmetric Contextual Modulation for Infrared Small Targe... 2020 2026 2022 2024 2021 2020 100 200 300 400
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. Asymmetric Contextual Modulation for Infrared Small Target Detection
    2021 475 citations Yimian Dai, Yiquan Wu et al. profile →
  2. Recent advances in small object detection based on deep learning: A review
    2020 376 citations Kang Tong, Yiquan Wu et al. Image and Vision Computing profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fei Zhou China 12 699 476 395 244 172 35 1.3k
Yulan Guo China 15 897 1.3× 448 0.9× 554 1.4× 189 0.8× 125 0.7× 74 1.6k
Yiquan Wu China 11 1.4k 2.0× 923 1.9× 399 1.0× 408 1.7× 417 2.4× 25 1.8k
Yimian Dai China 12 1.5k 2.1× 972 2.0× 547 1.4× 498 2.0× 437 2.5× 26 2.2k
Changcai Yang China 18 427 0.6× 210 0.4× 517 1.3× 286 1.2× 60 0.3× 73 1.1k
Haibo Luo China 18 328 0.5× 203 0.4× 742 1.9× 249 1.0× 38 0.2× 79 1.3k
Zhi Gao China 22 275 0.4× 123 0.3× 847 2.1× 427 1.8× 40 0.2× 145 1.6k
Hanyu Hong China 14 218 0.3× 103 0.2× 641 1.6× 331 1.4× 20 0.1× 78 1.1k
Xiaowei Zhang China 17 209 0.3× 124 0.3× 444 1.1× 74 0.3× 31 0.2× 129 1.1k

Countries citing papers authored by Fei Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Fei Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fei Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Fei Zhou. A scholar is included among the top collaborators of Fei 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 Fei Zhou. Fei 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, Fei, Fengyi Wu, Maixia Fu, et al.. (2025). DRPCA-Net: Make Robust PCA Great Again for Infrared Small Target Detection. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–16. 2 indexed citations
2.
3.
Zhou, Fei, et al.. (2024). View-specific anchors coupled tensorial bipartite graph learning for incomplete multi-view clustering. Information Sciences. 664. 120335–120335. 8 indexed citations
4.
Zhou, Fei, Peng Wang, Lei Zhang, Wei Wei, & Yanning Zhang. (2024). Meta-collaborative comparison for effective cross-domain few-shot learning. Pattern Recognition. 156. 110790–110790. 4 indexed citations
5.
Zhou, Fei, et al.. (2024). Sparse Prior Is Not All You Need: When Differential Directionality Meets Saliency Coherence for Infrared Small Target Detection. IEEE Transactions on Instrumentation and Measurement. 73. 1–18. 3 indexed citations
6.
Liu, Jiaming, et al.. (2023). Vibration behavior of innovative discretely connected precast concrete sandwich floors. Journal of Building Engineering. 82. 108313–108313. 4 indexed citations
7.
Fan, Honghai, et al.. (2023). P-Y Curve Correction of Shallow Seabed Formation Containing Hydrate. Energies. 16(7). 3274–3274. 2 indexed citations
8.
Tao, Zhenyu, et al.. (2023). Carbonate Formation Pressure Prediction Method Based on Machine Learning. 2 indexed citations
9.
Dai, Yimian, et al.. (2023). One-Stage Cascade Refinement Networks for Infrared Small Target Detection. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–17. 80 indexed citations
10.
Zhou, Fei, et al.. (2023). Transfer Learning-Based YOLOv3 Model for Road Dense Object Detection. Information. 14(10). 560–560. 1 indexed citations
11.
Zhou, Fei, et al.. (2023). Improved YOLOv8-based Vehicle Detection Method for Road Monitoring and Surveillance. 208–212. 3 indexed citations
12.
Zhou, Fei, Lei Zhang, & Wei Wei. (2022). Meta-Generating Deep Attentive Metric for Few-Shot Classification. IEEE Transactions on Circuits and Systems for Video Technology. 32(10). 6863–6873. 35 indexed citations
13.
Zhou, Fei, et al.. (2022). Facial Expression Recognition: One Attention-Modulated Contextual Spatial Information Network. Entropy. 24(7). 882–882. 3 indexed citations
14.
Dai, Yimian, Yiquan Wu, Fei Zhou, & Kobus Barnard. (2021). Asymmetric Contextual Modulation for Infrared Small Target Detection. 949–958. 475 indexed citations breakdown →
15.
Zhang, Tiancheng, Yiquan Wu, & Fei Zhou. (2021). Infrared small target detection based on robust principal component analysis joint directional derivative penalty. Journal of Physics Conference Series. 1873(1). 12005–12005. 2 indexed citations
16.
Tong, Kang, Yiquan Wu, & Fei Zhou. (2020). Recent advances in small object detection based on deep learning: A review. Image and Vision Computing. 97. 103910–103910. 376 indexed citations breakdown →
17.
Liu, Hao, Li Chen, Fei Zhou, et al.. (2019). Anti-oligomerization sheet molecules: Design, synthesis and evaluation of inhibitory activities against α-synuclein aggregation. Bioorganic & Medicinal Chemistry. 27(14). 3089–3096. 11 indexed citations
18.
Zhou, Fei, et al.. (2019). Graph-Regularized Laplace Approximation for Detecting Small Infrared Target Against Complex Backgrounds. IEEE Access. 7. 85354–85371. 18 indexed citations
19.
Guan, Yurong, Fei Zhou, & Jing Zhou. (2019). Research and Practice of Image Processing Based on Python. Journal of Physics Conference Series. 1345(2). 22018–22018. 4 indexed citations
20.
Deng, Yuanwang, Fei Zhou, Bangji Zhang, Guohai Jia, & Keliang Chen. (2011). A study of engine fuel economy and its optimization method in hybrid electric vehicles based on MATLAB toolbox. 66. 1947–1951. 2 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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