Minhao Wang
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
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- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Effects and risks of endocrine disrupting chemicals 4
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- COVID-19 diagnosis using AI 3
- Co-authors
- Zhangming Niu (4 shared papers)Evandro Fei Fang (4 shared papers)Yinghui Jiang (4 shared papers)Jun Xia (4 shared papers)Guang Zhong Yang (4 shared papers)Yuan Gao (3 shared papers)Li Lao (1 shared paper)Xianglu Xiao (1 shared paper)
- Journals
- Renewable Energy (2 papers)Environmental Science & Technology (1 paper)ChemSusChem (1 paper)Environmental Chemistry (1 paper)Frontiers in Medicine (1 paper)
- Partner nations
- ChinaUnited KingdomNorway
In The Last Decade
Minhao Wang
18 papers receiving 445 citations
Minhao Wang's Hit Papers
Peers
Comparison fields: 5 of 73
- Health Informatics 65
- Radiology, Nuclear Medicine and Imaging 310
- Artificial Intelligence 205
- Health Information Management 16
- Computer Vision and Pattern Recognition 62
Countries citing papers authored by Minhao Wang
This map shows the geographic impact of Minhao 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 Minhao Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minhao Wang more than expected).
Fields of papers citing papers by Minhao Wang
This network shows the impact of papers produced by Minhao 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 Minhao Wang. The network helps show where Minhao Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Minhao 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Weakly Supervised Deep Learning for COVID-19 Infection Detection and Classification From CT Images Hit paper breakdown → | 2020 | 305 |
| 2 | 2021 | 34 | |
| 3 | 2020 | 27 | |
| 4 | 2022 | 26 | |
| 5 | 2024 | 20 | |
| 6 | 2021 | 12 | |
| 7 | 2022 | 11 | |
| 8 | 2024 | 5 | |
| 9 | 2019 | 4 | |
| 10 | 2019 | 4 | |
| 11 | 2024 | 3 | |
| 12 | 2026 | 2 | |
| 13 | 2024 | 2 | |
| 14 | 2019 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2022 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2020 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2025 | 0 |
About Minhao Wang
Minhao Wang is a scholar working on Health, Toxicology and Mutagenesis, Radiology, Nuclear Medicine and Imaging, Electrical and Electronic Engineering, Pollution and Automotive Engineering, having authored 23 papers that have together received 461 indexed citations. Recurring topics across this work include Fuel Cells and Related Materials (6 papers), Membrane-based Ion Separation Techniques (4 papers), Effects and risks of endocrine disrupting chemicals (4 papers), Advanced battery technologies research (3 papers), COVID-19 diagnosis using AI (3 papers), Energy Harvesting in Wireless Networks (2 papers), Advanced Battery Technologies Research (2 papers) and Wireless Power Transfer Systems (2 papers). The work is most often cited by research in Health Informatics (65 citations), Radiology, Nuclear Medicine and Imaging (310 citations), Artificial Intelligence (205 citations), Health Information Management (16 citations) and Computer Vision and Pattern Recognition (62 citations). Minhao Wang has collaborated with scholars based in China, United Kingdom and Norway. Frequent co-authors include Zhangming Niu, Evandro Fei Fang, Yinghui Jiang, Jun Xia, Guang Zhong Yang, Yuan Gao, Li Lao, Xianglu Xiao, Hui Ye and Shaoping Hu. Their work appears in journals such as Renewable Energy, Environmental Science & Technology, ChemSusChem, Environmental Chemistry and Frontiers in Medicine.
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.