Mingmin Zhen
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Advanced Vision and Imaging
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- 3D Surveying and Cultural Heritage
Papers in
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- Advanced Image and Video Retrieval Techniques 4
- Advanced Vision and Imaging 2
- Advanced Neural Network Applications 2
- Face and Expression Recognition 1
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- 3D Shape Modeling and Analysis 2
- Co-authors
- Long Quan (5 shared papers)Tianwei Shen (3 shared papers)Tian Fang (4 shared papers)Lei Zhou (2 shared papers)Jinglu Wang (2 shared papers)Shiwei Li (1 shared paper)Jiaxiang Shang (1 shared paper)Yao Yao (2 shared papers)
- Journals
- Science China Information Sciences (1 paper)Rare & Special e-Zone (The Hong Kong University of Science and Technology) (3 papers)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
In The Last Decade
Mingmin Zhen
7 papers receiving 201 citations
Peers
Comparison fields: 5 of 43
- Computer Vision and Pattern Recognition 151
- Geology 21
- Media Technology 29
- Computer Graphics and Computer-Aided Design 8
- Aerospace Engineering 55
Countries citing papers authored by Mingmin Zhen
This map shows the geographic impact of Mingmin Zhen'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 Mingmin Zhen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingmin Zhen more than expected).
Fields of papers citing papers by Mingmin Zhen
This network shows the impact of papers produced by Mingmin Zhen. 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 Mingmin Zhen. The network helps show where Mingmin Zhen may publish in the future.
Co-authors
The 20 scholars most cited alongside Mingmin Zhen, 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 | 2020 | 101 | |
| 2 | 2020 | 52 | |
| 3 | 2019 | 28 | |
| 4 | 2019 | 14 | |
| 5 | 2019 | 6 | |
| 6 | 2015 | 2 | |
| 7 | 2016 | 1 | |
| 8 | 2024 | 0 |
About Mingmin Zhen
Mingmin Zhen is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Artificial Intelligence, Aerospace Engineering and Computer Graphics and Computer-Aided Design, having authored 8 papers that have together received 204 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (4 papers), 3D Shape Modeling and Analysis (2 papers), Robotics and Sensor-Based Localization (2 papers), Computer Graphics and Visualization Techniques (2 papers), Advanced Vision and Imaging (2 papers), Advanced Neural Network Applications (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Face and Expression Recognition (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (151 citations), Geology (21 citations), Media Technology (29 citations), Computer Graphics and Computer-Aided Design (8 citations) and Aerospace Engineering (55 citations). Mingmin Zhen has collaborated with scholars based in Hong Kong, China and France. Frequent co-authors include Long Quan, Tianwei Shen, Tian Fang, Lei Zhou, Jinglu Wang, Shiwei Li, Jiaxiang Shang, Yao Yao, Zixin Luo and Tian Fang. Their work appears in journals such as Science China Information Sciences, Rare & Special e-Zone (The Hong Kong University of Science and Technology) and Proceedings of the AAAI Conference on Artificial Intelligence.
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.