Min Wan
Impact in
- Water Science and Technology top 10%
- Hydrology and Watershed Management Studies
- Environmental Engineering top 10%
- Hydrological Forecasting Using AI
Papers in
-
- Image Retrieval and Classification Techniques 3
- Medical Image Segmentation Techniques 3
- Robotic Path Planning Algorithms 2
-
- Natural Language Processing Techniques 3
- Advanced Text Analysis Techniques 3
- Co-authors
- Xiang‐Jun Shen (1 shared paper)Jianping Gou (2 shared papers)Lan Du (1 shared paper)Yongzhao Zhan (1 shared paper)Jinfu Chen (1 shared paper)Zhao Zhang (1 shared paper)Kieran M. O’Connor (1 shared paper)Lihua Xiong (1 shared paper)
- Journals
- ACM SIGMETRICS Performance Evaluation Review (2 papers)Hydrological Sciences Journal (1 paper)Alexandria Engineering Journal (1 paper)Journal of Digital Imaging (1 paper)Performance Evaluation (1 paper)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Min Wan
23 papers receiving 907 citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Water Science and Technology 139
- Environmental Engineering 102
- Computer Networks and Communications 137
- Global and Planetary Change 119
- Computational Theory and Mathematics 78
Countries citing papers authored by Min Wan
This map shows the geographic impact of Min 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 Min Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Wan more than expected).
Fields of papers citing papers by Min Wan
This network shows the impact of papers produced by Min 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 Min Wan. The network helps show where Min Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Min 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Maximum Neighborhood Margin Discriminant Projection for Classification Hit paper breakdown → | 2014 | 615 |
| 2 | 2009 | 127 | |
| 3 | 2008 | 90 | |
| 4 | 2010 | 17 | |
| 5 | Uncertainty analysis of hydrological modeling using the Bayesian Model Averaging Method | 2011 | 11 |
| 6 | 2012 | 8 | |
| 7 | 2013 | 6 | |
| 8 | 2009 | 5 | |
| 9 | 2011 | 5 | |
| 10 | 2012 | 5 | |
| 11 | 2014 | 5 | |
| 12 | 2002 | 4 | |
| 13 | 2007 | 4 | |
| 14 | 2003 | 4 | |
| 15 | 2013 | 3 | |
| 16 | A Framework for Auto-segmentation of Left Ventricle from Magnetic Resonance Images | 2013 | 3 |
| 17 | 2013 | 1 | |
| 18 | 2018 | 1 | |
| 19 | Turning path planning for UAV in region coverage with scanline | 2014 | 1 |
| 20 | 2022 | 1 |
About Min Wan
Min Wan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Computational Theory and Mathematics and Signal Processing, having authored 30 papers that have together received 920 indexed citations. Recurring topics across this work include Computational Geometry and Mesh Generation (3 papers), Formal Methods in Verification (3 papers), Natural Language Processing Techniques (3 papers), Image Retrieval and Classification Techniques (3 papers), Medical Image Segmentation Techniques (3 papers), Advanced Text Analysis Techniques (3 papers), Image Processing Techniques and Applications (2 papers) and Robotic Path Planning Algorithms (2 papers). The work is most often cited by research in Water Science and Technology (139 citations), Environmental Engineering (102 citations), Computer Networks and Communications (137 citations), Global and Planetary Change (119 citations) and Computational Theory and Mathematics (78 citations). Min Wan has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Xiang‐Jun Shen, Jianping Gou, Lan Du, Yongzhao Zhan, Jinfu Chen, Zhao Zhang, Kieran M. O’Connor, Lihua Xiong, Yu Wang and Desheng Wang. Their work appears in journals such as ACM SIGMETRICS Performance Evaluation Review, Hydrological Sciences Journal, Alexandria Engineering Journal, Journal of Digital Imaging and Performance Evaluation.
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.