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
-
- Radiomics and Machine Learning in Medical Imaging 6
- COVID-19 diagnosis using AI 5
- Advanced MRI Techniques and Applications 3
- Advanced Neuroimaging Techniques and Applications 2
- Medical Imaging Techniques and Applications 2
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- Acute Ischemic Stroke Management 3
- Co-authors
- Feng Shi (9 shared papers)Dinggang Shen (8 shared papers)Yaozong Gao (5 shared papers)Fei Shan (5 shared papers)Liming Xia (5 shared papers)Bin Song (4 shared papers)Ying Wei (5 shared papers)Zhongxiang Ding (3 shared papers)
- Journals
- Frontiers in Neuroscience (2 papers)Frontiers in Endocrinology (2 papers)Medical Image Analysis (2 papers)Frontiers in Aging Neuroscience (1 paper)Medicine (1 paper)
- Partner nations
- ChinaSouth KoreaUnited States
In The Last Decade
Zhanhao Mo
22 papers receiving 785 citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Health Informatics 98
- Radiology, Nuclear Medicine and Imaging 436
- Artificial Intelligence 271
- Neurology 59
- Computer Vision and Pattern Recognition 103
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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 264 | |
| 2 | 2020 | 165 | |
| 3 | Triglyceride-glucose index, renal function and cardiovascular disease: a national cohort study Hit paper breakdown → | 2023 | 73 |
| 4 | 2020 | 54 | |
| 5 | 2015 | 46 | |
| 6 | 2020 | 44 | |
| 7 | 2022 | 23 | |
| 8 | 2020 | 20 | |
| 9 | 2016 | 18 | |
| 10 | 2021 | 17 | |
| 11 | 2014 | 16 | |
| 12 | 2023 | 15 | |
| 13 | 2023 | 12 | |
| 14 | 2020 | 8 | |
| 15 | 2024 | 6 | |
| 16 | 2021 | 6 | |
| 17 | 2022 | 5 | |
| 18 | Accelerating Knee MRI: 3D Modulated Flip-Angle Technique in Refocused Imaging with an Extended Echo Train and Compressed Sensing | 2022 | 4 |
| 19 | 2023 | 4 | |
| 20 | 2024 | 2 |
About Zhanhao Mo
Zhanhao Mo is a scholar working on Radiology, Nuclear Medicine and Imaging, Epidemiology, Neurology, Endocrinology, Diabetes and Metabolism and Cancer Research, having authored 28 papers that have together received 805 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (6 papers), COVID-19 diagnosis using AI (5 papers), Acute Ischemic Stroke Management (3 papers), Advanced MRI Techniques and Applications (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Medical Imaging Techniques and Applications (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Health Informatics (98 citations), Radiology, Nuclear Medicine and Imaging (436 citations), Artificial Intelligence (271 citations), Neurology (59 citations) and Computer Vision and Pattern Recognition (103 citations). Zhanhao Mo has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Feng Shi, Dinggang Shen, Yaozong Gao, Fei Shan, Liming Xia, Bin Song, Ying Wei, Zhongxiang Ding, Dijia Wu and Huan Yuan. Their work appears in journals such as Frontiers in Neuroscience, Frontiers in Endocrinology, Medical Image Analysis, Frontiers in Aging Neuroscience 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.