Meihao Wang
Impact in
- Health Informatics top 5%
-
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- COVID-19 diagnosis using AI
- Advanced Neuroimaging Techniques and Applications
Papers in
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- MRI in cancer diagnosis 9
- Radiomics and Machine Learning in Medical Imaging 7
- Advanced Neuroimaging Techniques and Applications 5
-
- Attention Deficit Hyperactivity Disorder 11
- Co-authors
- Jiejie Zhou (15 shared papers)Min‐Ying Su (13 shared papers)Yang Zhang (8 shared papers)Yezhi Lin (4 shared papers)Jiance Li (5 shared papers)Zhifang Pan (9 shared papers)Peter Chang (2 shared papers)Daniel Chow (2 shared papers)
- Journals
- Journal of Magnetic Resonance Imaging (7 papers)Frontiers in Oncology (6 papers)European Radiology (3 papers)Brain Imaging and Behavior (2 papers)Clinical Breast Cancer (2 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Meihao Wang
49 papers receiving 891 citations
Peers
Comparison fields: 5 of 92
- Health Informatics 32
- Radiology, Nuclear Medicine and Imaging 396
- Artificial Intelligence 219
- Neurology 47
- Neurology 70
Countries citing papers authored by Meihao Wang
This map shows the geographic impact of Meihao 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 Meihao Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meihao Wang more than expected).
Fields of papers citing papers by Meihao Wang
This network shows the impact of papers produced by Meihao 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 Meihao Wang. The network helps show where Meihao Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Meihao 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 171 | |
| 2 | 2020 | 103 | |
| 3 | 2018 | 76 | |
| 4 | 2017 | 69 | |
| 5 | 2023 | 55 | |
| 6 | 2020 | 38 | |
| 7 | 2023 | 33 | |
| 8 | 2022 | 27 | |
| 9 | 2009 | 24 | |
| 10 | 2019 | 24 | |
| 11 | 2018 | 22 | |
| 12 | 2020 | 22 | |
| 13 | 2023 | 16 | |
| 14 | 2020 | 16 | |
| 15 | 2021 | 15 | |
| 16 | 2021 | 15 | |
| 17 | 2018 | 13 | |
| 18 | 2022 | 12 | |
| 19 | 2019 | 12 | |
| 20 | 2021 | 11 |
About Meihao Wang
Meihao Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Psychiatry and Mental health, Cognitive Neuroscience, Neurology and Surgery, having authored 52 papers that have together received 900 indexed citations. Recurring topics across this work include Attention Deficit Hyperactivity Disorder (11 papers), MRI in cancer diagnosis (9 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Functional Brain Connectivity Studies (7 papers), Advanced Neuroimaging Techniques and Applications (5 papers), Alzheimer's disease research and treatments (2 papers), Intracerebral and Subarachnoid Hemorrhage Research (2 papers) and Medical Imaging and Analysis (2 papers). The work is most often cited by research in Health Informatics (32 citations), Radiology, Nuclear Medicine and Imaging (396 citations), Artificial Intelligence (219 citations), Neurology (47 citations) and Neurology (70 citations). Meihao Wang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Jiejie Zhou, Min‐Ying Su, Yang Zhang, Yezhi Lin, Jiance Li, Zhifang Pan, Peter Chang, Daniel Chow, Jeon‐Hor Chen and Rita S. Mehta. Their work appears in journals such as Journal of Magnetic Resonance Imaging, Frontiers in Oncology, European Radiology, Brain Imaging and Behavior and Clinical Breast Cancer.
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.