Mingwei Wang
Impact in
- Media Technology top 1%
- Remote-Sensing Image Classification
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- Face and Expression Recognition
Papers in
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- Metaheuristic Optimization Algorithms Research 13
- Semantic Web and Ontologies 9
- Co-authors
- Zhiwei Ye (28 shared papers)Youchuan Wan (11 shared papers)Xudong Lai (10 shared papers)Nan Zhang (6 shared papers)Xiaonong Zhu (3 shared papers)Decui Liang (3 shared papers)Xiaolei Wang (2 shared papers)Jianjun Yang (1 shared paper)
- Journals
- Remote Sensing (8 papers)IEEE Transactions on Geoscience and Remote Sensing (6 papers)Computational Intelligence and Neuroscience (4 papers)IEEE Access (4 papers)Applied Sciences (4 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Mingwei Wang
146 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 145
- Media Technology 323
- Computer Vision and Pattern Recognition 350
- Artificial Intelligence 544
- Geology 86
- Environmental Engineering 211
Countries citing papers authored by Mingwei Wang
This map shows the geographic impact of Mingwei 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 Mingwei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingwei Wang more than expected).
Fields of papers citing papers by Mingwei Wang
This network shows the impact of papers produced by Mingwei 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 Mingwei Wang. The network helps show where Mingwei Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingwei 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 154 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 169 | |
| 2 | 2016 | 150 | |
| 3 | 2019 | 119 | |
| 4 | 2017 | 99 | |
| 5 | 2020 | 80 | |
| 6 | 2015 | 72 | |
| 7 | 2020 | 62 | |
| 8 | 2017 | 56 | |
| 9 | 2007 | 54 | |
| 10 | 2011 | 50 | |
| 11 | 2017 | 40 | |
| 12 | 2023 | 39 | |
| 13 | 2021 | 36 | |
| 14 | 2015 | 35 | |
| 15 | 2018 | 35 | |
| 16 | 2012 | 32 | |
| 17 | 2020 | 32 | |
| 18 | 2021 | 31 | |
| 19 | 2019 | 28 | |
| 20 | 2023 | 28 |
About Mingwei Wang
Mingwei Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Media Technology, Information Systems and Electrical and Electronic Engineering, having authored 154 papers that have together received 2.1k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (23 papers), Metaheuristic Optimization Algorithms Research (13 papers), Remote Sensing and Land Use (13 papers), Laser Material Processing Techniques (11 papers), Remote Sensing and LiDAR Applications (9 papers), Advanced Image Fusion Techniques (9 papers), Semantic Web and Ontologies (9 papers) and Manufacturing Process and Optimization (8 papers). The work is most often cited by research in Media Technology (323 citations), Computer Vision and Pattern Recognition (350 citations), Artificial Intelligence (544 citations), Geology (86 citations) and Environmental Engineering (211 citations). Mingwei Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Zhiwei Ye, Youchuan Wan, Xudong Lai, Nan Zhang, Xiaonong Zhu, Decui Liang, Xiaolei Wang, Jianjun Yang, Xiaohui Huang and Maolin Chen. Their work appears in journals such as Remote Sensing, IEEE Transactions on Geoscience and Remote Sensing, Computational Intelligence and Neuroscience, IEEE Access and Applied Sciences.
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.