Min He
Impact in
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- Advanced Neural Network Applications
- Image Enhancement Techniques
- Media Technology top 10%
- Remote-Sensing Image Classification
Papers in
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- Advanced Neural Network Applications 7
- Image Enhancement Techniques 5
- Advanced Steganography and Watermarking Techniques 2
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- Topic Modeling 3
- Co-authors
- Liang Qin (7 shared papers)Kaipei Liu (4 shared papers)Lihong Wang (2 shared papers)Hao Peng (2 shared papers)Jianxin Li (2 shared papers)Min Zhang (1 shared paper)Feng Zhao (1 shared paper)Gong Cheng (1 shared paper)
- Journals
- Energy Reports (3 papers)Sensors (2 papers)Applied Intelligence (1 paper)Mathematical Biosciences & Engineering (1 paper)Medical Image Analysis (1 paper)
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Min He
21 papers receiving 282 citations
Peers
Comparison fields: 5 of 70
- Computer Vision and Pattern Recognition 146
- Media Technology 45
- Industrial and Manufacturing Engineering 37
- Artificial Intelligence 63
- Civil and Structural Engineering 23
Countries citing papers authored by Min He
This map shows the geographic impact of Min He'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 He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min He more than expected).
Fields of papers citing papers by Min He
This network shows the impact of papers produced by Min He. 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 He. The network helps show where Min He may publish in the future.
Co-authors
The 25 scholars most cited alongside Min He, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 36 | |
| 2 | 2021 | 33 | |
| 3 | 2021 | 31 | |
| 4 | 2020 | 31 | |
| 5 | 2021 | 27 | |
| 6 | 2022 | 24 | |
| 7 | 2023 | 19 | |
| 8 | 2019 | 18 | |
| 9 | 2021 | 13 | |
| 10 | 2015 | 12 | |
| 11 | 2021 | 12 | |
| 12 | 2023 | 6 | |
| 13 | 2021 | 6 | |
| 14 | 2019 | 5 | |
| 15 | 2006 | 4 | |
| 16 | 2025 | 2 | |
| 17 | 2020 | 2 | |
| 18 | 2021 | 2 | |
| 19 | 2014 | 1 | |
| 20 | 2022 | 1 |
About Min He
Min He is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Media Technology and Mechanical Engineering, having authored 25 papers that have together received 286 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (7 papers), Image Enhancement Techniques (5 papers), Blind Source Separation Techniques (3 papers), Industrial Vision Systems and Defect Detection (3 papers), Topic Modeling (3 papers), Power Line Inspection Robots (3 papers), Vehicle License Plate Recognition (2 papers) and Advanced Steganography and Watermarking Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (146 citations), Media Technology (45 citations), Industrial and Manufacturing Engineering (37 citations), Artificial Intelligence (63 citations) and Civil and Structural Engineering (23 citations). Min He has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Liang Qin, Kaipei Liu, Lihong Wang, Hao Peng, Jianxin Li, Min Zhang, Feng Zhao, Gong Cheng, Xiwen Yao and Xiaoliang Qian. Their work appears in journals such as Energy Reports, Sensors, Applied Intelligence, Mathematical Biosciences & Engineering and Medical Image Analysis.
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.