Min Hu
Impact in
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- Face and Expression Recognition
- Face recognition and analysis
- Image and Signal Denoising Methods
- Advanced Image Processing Techniques
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- Emotion and Mood Recognition
Papers in
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- Face and Expression Recognition 19
- Advanced Image Processing Techniques 15
- Face recognition and analysis 14
- Image and Signal Denoising Methods 11
- Image Retrieval and Classification Techniques 10
Min Hu
144 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Computer Vision and Pattern Recognition 588
- Experimental and Cognitive Psychology 216
- Media Technology 138
- Artificial Intelligence 289
- Signal Processing 67
Countries citing papers authored by Min Hu
This map shows the geographic impact of Min Hu'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 Min Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Hu more than expected).
Fields of papers citing papers by Min Hu
This network shows the impact of papers produced by Min Hu. 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 Min Hu. The network helps show where Min Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Min Hu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 6 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 34 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 4 | |
| 11 | 2023 | 14 | |
| 12 | 2023 | 2 | |
| 13 | 2022 | 2 | |
| 14 | 2022 | 9 | |
| 15 | 2021 | 10 | |
| 16 | 2021 | 88 | |
| 17 | 2020 | 6 | |
| 18 | 2012 | 1 | |
| 19 | Design of 3D particle-in-cell simulation software | 2006 | 1 |
| 20 | Local Histogram Equalization with Brightness Preservation | 2006 | 11 |
About Min Hu
Min Hu is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Experimental and Cognitive Psychology, Computer Graphics and Computer-Aided Design and Artificial Intelligence, having authored 163 papers that have together received 1.6k indexed citations. Recurring topics across this work include Emotion and Mood Recognition (20 papers), Face and Expression Recognition (19 papers), Advanced Image Processing Techniques (15 papers), Face recognition and analysis (14 papers), Sentiment Analysis and Opinion Mining (14 papers), Image and Signal Denoising Methods (11 papers), Topic Modeling (10 papers) and Image Retrieval and Classification Techniques (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (588 citations), Experimental and Cognitive Psychology (216 citations), Media Technology (138 citations), Artificial Intelligence (289 citations) and Signal Processing (67 citations). Min Hu has collaborated with scholars based in China, Japan and Singapore. Frequent co-authors include Fuji Ren, Xiaohua Wang, Jieqing Tan, Ronggui Wang, Juan Yang, Dong Guo, Fei Qian, Lixia Xue, Ali Abdullah Yahya and Yanlong Zhao. Their work appears in journals such as Multimedia Tools and Applications, Journal of Visual Communication and Image Representation, Symmetry, IEEE Access and The Visual Computer.
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.