Mingwen Shao
- Computational Theory and Mathematics top 0.2%
- Rough Sets and Fuzzy Logic 33
- Information Systems top 0.5%
- Data Mining Algorithms and Applications 18
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- Advanced Image Processing Techniques 45
- Image Enhancement Techniques 31
- Advanced Neural Network Applications 24
- Advanced Vision and Imaging 17
- Artificial Intelligence top 1%
- Domain Adaptation and Few-Shot Learning 17
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- Advanced Image Fusion Techniques 17
- Co-authors
- Changzhong WangYuhua QianQinghua HuDegang ChenYang HuangYali QiWei-Zhi WuWen‐Xiu Zhang
- Cited by
- Computational Theory and MathematicsInformation SystemsManagement Science and Operations Research
- Journals
- SHILAP Revista de lepidopterología (1 paper)IEEE Transactions on Geoscience and Remote Sensing (5 papers)IEEE Transactions on Image Processing (1 paper)
In The Last Decade
Mingwen Shao
121 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Computational Theory and Mathematics 1.6k
- Information Systems 891
- Management Science and Operations Research 458
- Computer Vision and Pattern Recognition 750
- Artificial Intelligence 1.1k
Countries citing papers authored by Mingwen Shao
This map shows the geographic impact of Mingwen Shao'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 Mingwen Shao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingwen Shao more than expected).
Fields of papers citing papers by Mingwen Shao
This network shows the impact of papers produced by Mingwen Shao. 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 Mingwen Shao. The network helps show where Mingwen Shao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mingwen Shao, 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 | 2025 | 1 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 4 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 5 | |
| 10 | 2024 | 5 | |
| 11 | 2024 | 1 | |
| 12 | 2023 | 5 | |
| 13 | 2023 | 0 | |
| 14 | 2023 | 3 | |
| 15 | 2023 | 31 | |
| 16 | 2022 | 22 | |
| 17 | 2021 | 7 | |
| 18 | 2020 | 19 | |
| 19 | 2019 | 213 | |
| 20 | Mechanism of Shenyi Capsule Concomitant with Endostar and Chemotherapy on the Growth and Apoptosis of MCF-7 Breast Cancer Cells | 2014 | 2 |
About Mingwen Shao
Mingwen Shao is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computational Theory and Mathematics, having authored 147 papers that have together received 2.5k indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (45 papers), Rough Sets and Fuzzy Logic (33 papers), Image Enhancement Techniques (31 papers), Advanced Neural Network Applications (24 papers), Data Mining Algorithms and Applications (18 papers), Advanced Image Fusion Techniques (17 papers), Domain Adaptation and Few-Shot Learning (17 papers) and Advanced Vision and Imaging (17 papers). The work is most often cited by research in Computational Theory and Mathematics (1.6k citations), Information Systems (891 citations) and Management Science and Operations Research (458 citations). Mingwen Shao has collaborated with scholars based in China, Macao and Australia. Frequent co-authors include Changzhong Wang, Yuhua Qian, Qinghua Hu, Degang Chen, Yang Huang, Yali Qi, Wei-Zhi Wu, Wen‐Xiu Zhang, Qiang He and Deyu Meng. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.
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.