Yingping Yi
Impact in
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- Artificial Intelligence in Healthcare
Papers in
- Epidemiology 12
- Acute Ischemic Stroke Management 11
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- Antiplatelet Therapy and Cardiovascular Diseases 5
- Atrial Fibrillation Management and Outcomes 2
- Co-authors
- Gang Xiong (3 shared papers)Peng Chen (4 shared papers)Jiajing Wang (3 shared papers)Yuan Xu (7 shared papers)Yaoyun Zhang (2 shared papers)Xinlei Yang (5 shared papers)Hui Huang (1 shared paper)Li Wang (1 shared paper)
- Journals
- Lipids in Health and Disease (3 papers)International Journal of Medical Informatics (1 paper)Scientific Reports (1 paper)Materials Science and Engineering C (1 paper)BMJ Open (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Yingping Yi
24 papers receiving 266 citations
Peers
Comparison fields: 5 of 83
- Health Information Management 32
- Health Informatics 9
- Rehabilitation 22
- Epidemiology 96
- Cardiology and Cardiovascular Medicine 52
Countries citing papers authored by Yingping Yi
This map shows the geographic impact of Yingping Yi'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 Yingping Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yingping Yi more than expected).
Fields of papers citing papers by Yingping Yi
This network shows the impact of papers produced by Yingping Yi. 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 Yingping Yi. The network helps show where Yingping Yi may publish in the future.
Co-authors
The 25 scholars most cited alongside Yingping Yi, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 62 | |
| 2 | 2019 | 50 | |
| 3 | 2018 | 35 | |
| 4 | 2023 | 18 | |
| 5 | 2019 | 16 | |
| 6 | 2022 | 14 | |
| 7 | 2021 | 13 | |
| 8 | 2018 | 8 | |
| 9 | 2022 | 8 | |
| 10 | 2023 | 6 | |
| 11 | 2019 | 6 | |
| 12 | 2024 | 4 | |
| 13 | 2024 | 3 | |
| 14 | 2024 | 3 | |
| 15 | 2024 | 3 | |
| 16 | 2024 | 3 | |
| 17 | 2021 | 3 | |
| 18 | 2023 | 3 | |
| 19 | 2020 | 3 | |
| 20 | 2024 | 2 |
About Yingping Yi
Yingping Yi is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Surgery and Pulmonary and Respiratory Medicine, having authored 25 papers that have together received 268 indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (11 papers), Antiplatelet Therapy and Cardiovascular Diseases (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Cerebrovascular and Carotid Artery Diseases (3 papers), Moyamoya disease diagnosis and treatment (2 papers), Atrial Fibrillation Management and Outcomes (2 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers) and Advanced X-ray and CT Imaging (2 papers). The work is most often cited by research in Health Information Management (32 citations), Health Informatics (9 citations), Rehabilitation (22 citations), Epidemiology (96 citations) and Cardiology and Cardiovascular Medicine (52 citations). Yingping Yi has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Gang Xiong, Peng Chen, Jiajing Wang, Yuan Xu, Yaoyun Zhang, Xinlei Yang, Hui Huang, Li Wang, Qinghua Wang and Lijuan Hu. Their work appears in journals such as Lipids in Health and Disease, International Journal of Medical Informatics, Scientific Reports, Materials Science and Engineering C and BMJ Open.
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.