Yan Yu
Impact in
- Internal Medicine top 10%
- Venous Thromboembolism Diagnosis and Management
-
- Ovarian cancer diagnosis and treatment
Papers in
-
- Network Security and Intrusion Detection 4
-
- Diet and metabolism studies 1
- Simulation-Based Education in Healthcare 1
- Co-authors
- Jianhua Wang (2 shared papers)Guohui Zhou (1 shared paper)Yongjiang Tang (1 shared paper)Yongchun Shen (1 shared paper)Haixia Zhou (1 shared paper)Yulin Feng (1 shared paper)Guang Jin (1 shared paper)Varut Vardhanabhuti (3 shared papers)
- Journals
- LWT (2 papers)Sustainability (2 papers)Frontiers in Immunology (2 papers)BMC Cardiovascular Disorders (1 paper)Thrombosis Research (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yan Yu
37 papers receiving 345 citations
Peers
Comparison fields: 5 of 92
- Internal Medicine 34
- Reproductive Medicine 36
- Obstetrics and Gynecology 28
- Computer Science Applications 18
- Computer Networks and Communications 39
Countries citing papers authored by Yan Yu
This map shows the geographic impact of Yan Yu'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 Yan Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Yu more than expected).
Fields of papers citing papers by Yan Yu
This network shows the impact of papers produced by Yan Yu. 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 Yan Yu. The network helps show where Yan Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan Yu, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 41 | |
| 2 | 2013 | 39 | |
| 3 | 1993 | 38 | |
| 4 | 2022 | 26 | |
| 5 | 2024 | 25 | |
| 6 | 2024 | 18 | |
| 7 | 2024 | 17 | |
| 8 | 2010 | 17 | |
| 9 | 2023 | 16 | |
| 10 | 2015 | 16 | |
| 11 | 2024 | 13 | |
| 12 | 2007 | 12 | |
| 13 | 2025 | 10 | |
| 14 | 2024 | 8 | |
| 15 | 2016 | 8 | |
| 16 | 2024 | 6 | |
| 17 | 2021 | 6 | |
| 18 | 2022 | 5 | |
| 19 | 2024 | 4 | |
| 20 | 2025 | 3 |
About Yan Yu
Yan Yu is a scholar working on Computer Networks and Communications, Physiology, Molecular Biology, Information Systems and Computer Vision and Pattern Recognition, having authored 49 papers that have together received 357 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (4 papers), Gut microbiota and health (3 papers), Traffic Prediction and Management Techniques (2 papers), Venous Thromboembolism Diagnosis and Management (2 papers), Higher Education and Teaching Methods (2 papers), Diet and metabolism studies (1 paper), Biomarkers in Disease Mechanisms (1 paper) and Simulation-Based Education in Healthcare (1 paper). The work is most often cited by research in Internal Medicine (34 citations), Reproductive Medicine (36 citations), Obstetrics and Gynecology (28 citations), Computer Science Applications (18 citations) and Computer Networks and Communications (39 citations). Yan Yu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jianhua Wang, Guohui Zhou, Yongjiang Tang, Yongchun Shen, Haixia Zhou, Yulin Feng, Guang Jin, Varut Vardhanabhuti, Liqing Peng and Fuqiang Wen. Their work appears in journals such as LWT, Sustainability, Frontiers in Immunology, BMC Cardiovascular Disorders and Thrombosis Research.
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.