Minghua Wan
Impact in
- Media Technology top 1%
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
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- Face and Expression Recognition
- Image Retrieval and Classification Techniques
- Face recognition and analysis
- Advanced Image and Video Retrieval Techniques
Papers in
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- Face and Expression Recognition 48
- Image Retrieval and Classification Techniques 14
- Face recognition and analysis 13
- Advanced Image and Video Retrieval Techniques 10
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- Remote-Sensing Image Classification 26
- Co-authors
- Guowei Yang (41 shared papers)Zhihui Lai (19 shared papers)Zhong Jin (15 shared papers)Shan Gai (8 shared papers)Tianming Zhan (15 shared papers)Zhangjing Yang (18 shared papers)Zebin Wu (4 shared papers)Lei Wang (3 shared papers)
In The Last Decade
Minghua Wan
73 papers receiving 821 citations
Peers
Comparison fields: 5 of 84
- Media Technology 279
- Computer Vision and Pattern Recognition 534
- Computational Mathematics 9
- Signal Processing 127
- Computational Mechanics 135
Countries citing papers authored by Minghua Wan
This map shows the geographic impact of Minghua Wan'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 Minghua Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minghua Wan more than expected).
Fields of papers citing papers by Minghua Wan
This network shows the impact of papers produced by Minghua Wan. 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 Minghua Wan. The network helps show where Minghua Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Minghua Wan, 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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 54 | |
| 2 | 2016 | 53 | |
| 3 | 2014 | 51 | |
| 4 | 2021 | 50 | |
| 5 | 2010 | 41 | |
| 6 | 2013 | 39 | |
| 7 | 2013 | 38 | |
| 8 | 2015 | 32 | |
| 9 | 2009 | 31 | |
| 10 | 2021 | 29 | |
| 11 | 2014 | 28 | |
| 12 | 2021 | 26 | |
| 13 | 2022 | 22 | |
| 14 | 2011 | 19 | |
| 15 | 2011 | 18 | |
| 16 | 2014 | 17 | |
| 17 | 2020 | 15 | |
| 18 | 2019 | 14 | |
| 19 | 2018 | 14 | |
| 20 | 2011 | 13 |
About Minghua Wan
Minghua Wan is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Computational Mechanics, Artificial Intelligence and Signal Processing, having authored 76 papers that have together received 836 indexed citations. Recurring topics across this work include Face and Expression Recognition (48 papers), Remote-Sensing Image Classification (26 papers), Image Retrieval and Classification Techniques (14 papers), Face recognition and analysis (13 papers), Sparse and Compressive Sensing Techniques (12 papers), Advanced Image and Video Retrieval Techniques (10 papers), Biometric Identification and Security (8 papers) and Remote Sensing and Land Use (7 papers). The work is most often cited by research in Media Technology (279 citations), Computer Vision and Pattern Recognition (534 citations), Computational Mathematics (9 citations), Signal Processing (127 citations) and Computational Mechanics (135 citations). Minghua Wan has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Guowei Yang, Zhihui Lai, Zhong Jin, Shan Gai, Tianming Zhan, Zhangjing Yang, Zebin Wu, Lei Wang, Fanlong Zhang and Hao Zheng. Their work appears in journals such as Information Sciences, IEEE Access, Neural Computing and Applications, Multimedia Tools and Applications and Neural Processing Letters.
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.