Yanting Guo
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Artificial Intelligence in Healthcare
Papers in
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- Innovation and Knowledge Management 2
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- Innovation Policy and R&D 2
- Firm Innovation and Growth 2
- Co-authors
- Eric Widen (2 shared papers)Qian Wu (2 shared papers)Karl G. Sylvester (2 shared papers)Frank Stearns (2 shared papers)Bo Jin (2 shared papers)Shiying Hao (2 shared papers)Shaun T Alfreds (2 shared papers)Xuefeng B. Ling (2 shared papers)
- Journals
- Journal of Medical Internet Research (1 paper)Journal of Epidemiology & Community Health (1 paper)Applied Surface Science (1 paper)European Heart Journal (1 paper)Chemical Engineering Journal (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Yanting Guo
8 papers receiving 248 citations
Peers
Comparison fields: 5 of 71
- Health Informatics 30
- Health Information Management 45
- Cardiology and Cardiovascular Medicine 49
- Artificial Intelligence 49
- Public Health, Environmental and Occupational Health 34
Countries citing papers authored by Yanting Guo
This map shows the geographic impact of Yanting Guo'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 Yanting Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanting Guo more than expected).
Fields of papers citing papers by Yanting Guo
This network shows the impact of papers produced by Yanting Guo. 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 Yanting Guo. The network helps show where Yanting Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Yanting Guo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 177 | |
| 2 | 2010 | 31 | |
| 3 | 2025 | 16 | |
| 4 | 2017 | 13 | |
| 5 | 2024 | 8 | |
| 6 | 2015 | 3 | |
| 7 | 2016 | 2 | |
| 8 | 2016 | 1 | |
| 9 | Fresh fruit consumption in relation to mortality and incidence of vascular events among 26,000 individuals with diabetes: a 7-year prospective study | 2015 | 0 |
| 10 | 2010 | 0 |
About Yanting Guo
Yanting Guo is a scholar working on Strategy and Management, Economics and Econometrics, Electrical and Electronic Engineering, Biomedical Engineering and Nature and Landscape Conservation, having authored 10 papers that have together received 251 indexed citations. Recurring topics across this work include Innovation Policy and R&D (2 papers), Innovation and Knowledge Management (2 papers), Advanced Sensor and Energy Harvesting Materials (2 papers), Gas Sensing Nanomaterials and Sensors (2 papers), Firm Innovation and Growth (2 papers), Analytical Chemistry and Sensors (1 paper), Cardiac, Anesthesia and Surgical Outcomes (1 paper) and Chronic Kidney Disease and Diabetes (1 paper). The work is most often cited by research in Health Informatics (30 citations), Health Information Management (45 citations), Cardiology and Cardiovascular Medicine (49 citations), Artificial Intelligence (49 citations) and Public Health, Environmental and Occupational Health (34 citations). Yanting Guo has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Eric Widen, Qian Wu, Karl G. Sylvester, Frank Stearns, Bo Jin, Shiying Hao, Shaun T Alfreds, Xuefeng B. Ling, Tianyun Fu and Chunqing Zhu. Their work appears in journals such as Journal of Medical Internet Research, Journal of Epidemiology & Community Health, Applied Surface Science, European Heart Journal and Chemical Engineering Journal.
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.