Zhanhao Mo
Impact in
- Health Informatics top 1%
- 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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- COVID-19 diagnosis using AI 5
- Radiomics and Machine Learning in Medical Imaging 4
- Advanced MRI Techniques and Applications 2
- Ultrasound Imaging and Elastography 1
-
- Acute Ischemic Stroke Management 2
- Co-authors
- Yaozong Gao (6 shared papers)Feng Shi (9 shared papers)Dinggang Shen (8 shared papers)Liming Xia (5 shared papers)Fei Shan (5 shared papers)Ying Wei (5 shared papers)Zhongxiang Ding (3 shared papers)Bin Song (4 shared papers)
- Journals
- Medical Image Analysis (2 papers)Frontiers in Neuroscience (2 papers)Frontiers in Endocrinology (2 papers)International Journal of COPD (1 paper)Medicine (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Zhanhao Mo
29 papers receiving 865 citations
Peers
Comparison fields: 5 of 102
- Health Informatics 93
- Radiology, Nuclear Medicine and Imaging 416
- Artificial Intelligence 265
- Neurology 56
- Computer Vision and Pattern Recognition 101
Countries citing papers authored by Zhanhao Mo
This map shows the geographic impact of Zhanhao Mo'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 Zhanhao Mo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhanhao Mo more than expected).
Fields of papers citing papers by Zhanhao Mo
This network shows the impact of papers produced by Zhanhao Mo. 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 Zhanhao Mo. The network helps show where Zhanhao Mo may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhanhao Mo, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 266 | |
| 2 | 2020 | 170 | |
| 3 | 2023 | 81 | |
| 4 | 2020 | 56 | |
| 5 | 2020 | 47 | |
| 6 | 2015 | 46 | |
| 7 | 2022 | 25 | |
| 8 | 2019 | 21 | |
| 9 | 2020 | 20 | |
| 10 | 2021 | 19 | |
| 11 | 2021 | 18 | |
| 12 | 2016 | 18 | |
| 13 | 2014 | 16 | |
| 14 | 2023 | 16 | |
| 15 | 2023 | 13 | |
| 16 | 2020 | 8 | |
| 17 | 2024 | 6 | |
| 18 | 2021 | 6 | |
| 19 | 2022 | 5 | |
| 20 | 2023 | 5 |
About Zhanhao Mo
Zhanhao Mo is a scholar working on Radiology, Nuclear Medicine and Imaging, Epidemiology, Infectious Diseases, Surgery and Molecular Biology, having authored 31 papers that have together received 881 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Acute Ischemic Stroke Management (2 papers), Cardiovascular Health and Disease Prevention (2 papers), Advanced MRI Techniques and Applications (2 papers), COVID-19 Clinical Research Studies (2 papers), MicroRNA in disease regulation (2 papers) and Ultrasound Imaging and Elastography (1 paper). The work is most often cited by research in Health Informatics (93 citations), Radiology, Nuclear Medicine and Imaging (416 citations), Artificial Intelligence (265 citations), Neurology (56 citations) and Computer Vision and Pattern Recognition (101 citations). Zhanhao Mo has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Yaozong Gao, Feng Shi, Dinggang Shen, Liming Xia, Fei Shan, Ying Wei, Zhongxiang Ding, Bin Song, Huan Yuan and Dijia Wu. Their work appears in journals such as Medical Image Analysis, Frontiers in Neuroscience, Frontiers in Endocrinology, International Journal of COPD and 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.