Min Wang
Impact in
- Media Technology top 0.2%
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
-
- Image and Signal Denoising Methods
- Image Enhancement Techniques
- Advanced Image and Video Retrieval Techniques
Papers in
-
- Image and Signal Denoising Methods 28
- Advanced Neural Network Applications 12
- Co-authors
- Shuyuan Yang (73 shared papers)Licheng Jiao (40 shared papers)Kai Zhang (9 shared papers)Zhixi Feng (14 shared papers)Dongping Ming (6 shared papers)Ping Luo (4 shared papers)Jianyong Wang (4 shared papers)Wei Shen (2 shared papers)
- Journals
- IEEE Transactions on Geoscience and Remote Sensing (9 papers)Neurocomputing (8 papers)Remote Sensing (7 papers)IEEE Access (6 papers)IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (6 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Min Wang
193 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 143
- Media Technology 1.3k
- Computer Vision and Pattern Recognition 1.4k
- Computational Mathematics 26
- Artificial Intelligence 850
- Aerospace Engineering 540
Countries citing papers authored by Min Wang
This map shows the geographic impact of Min Wang'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 Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Wang more than expected).
Fields of papers citing papers by Min Wang
This network shows the impact of papers produced by Min Wang. 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 Wang. The network helps show where Min Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Min Wang, 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 203 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 200 | |
| 2 | 2009 | 162 | |
| 3 | 2012 | 114 | |
| 4 | 2018 | 110 | |
| 5 | 2018 | 107 | |
| 6 | 2013 | 89 | |
| 7 | 2016 | 87 | |
| 8 | 2010 | 85 | |
| 9 | 2023 | 81 | |
| 10 | 2015 | 71 | |
| 11 | 2018 | 69 | |
| 12 | 2022 | 68 | |
| 13 | 2011 | 64 | |
| 14 | 2023 | 59 | |
| 15 | 2016 | 59 | |
| 16 | 2011 | 58 | |
| 17 | 2009 | 58 | |
| 18 | 2018 | 58 | |
| 19 | 2018 | 58 | |
| 20 | 2017 | 55 |
About Min Wang
Min Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Media Technology and Computational Mechanics, having authored 203 papers that have together received 3.6k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (37 papers), Image and Signal Denoising Methods (28 papers), Advanced Image Fusion Techniques (28 papers), Sparse and Compressive Sensing Techniques (27 papers), Advanced SAR Imaging Techniques (20 papers), Advanced Neural Network Applications (12 papers), Microwave Imaging and Scattering Analysis (11 papers) and Radar Systems and Signal Processing (11 papers). The work is most often cited by research in Media Technology (1.3k citations), Computer Vision and Pattern Recognition (1.4k citations), Computational Mathematics (26 citations), Artificial Intelligence (850 citations) and Aerospace Engineering (540 citations). Min Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Shuyuan Yang, Licheng Jiao, Kai Zhang, Zhixi Feng, Dongping Ming, Ping Luo, Jianyong Wang, Wei Shen, Xianwei Lv and Ruixia Wu. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Neurocomputing, Remote Sensing, IEEE Access and IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
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.