Bin Yu
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Health top 5%
- Health disparities and outcomes
Papers in
-
- Adolescent Sexual and Reproductive Health 8
- Homelessness and Social Issues 5
-
- Suicide and Self-Harm Studies 11
- Migration, Health and Trauma 5
- Co-authors
- Xinguang Chen (36 shared papers)Hong Yan (15 shared papers)Shiyue Li (11 shared papers)Peigang Wang (4 shared papers)Yan Wang (5 shared papers)Xiangfan Chen (2 shared papers)Jie Gong (6 shared papers)Xiaofang Zhang (1 shared paper)
- Journals
- Global Health Research and Policy (5 papers)Journal of Adolescence (3 papers)Frontiers in Psychiatry (2 papers)Frontiers in Public Health (2 papers)The American Journal of Drug and Alcohol Abuse (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Bin Yu
78 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 144
- Modeling and Simulation 76
- Health 131
- Clinical Psychology 287
- General Health Professions 260
- Infectious Diseases 187
Countries citing papers authored by Bin Yu
This map shows the geographic impact of Bin 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 Bin Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Yu more than expected).
Fields of papers citing papers by Bin Yu
This network shows the impact of papers produced by Bin 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 Bin Yu. The network helps show where Bin Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin 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 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 109 | |
| 2 | 2020 | 83 | |
| 3 | 2018 | 71 | |
| 4 | 2014 | 67 | |
| 5 | 2014 | 56 | |
| 6 | 2017 | 55 | |
| 7 | 2016 | 51 | |
| 8 | 2021 | 42 | |
| 9 | 2017 | 37 | |
| 10 | 2016 | 34 | |
| 11 | 2016 | 29 | |
| 12 | 2018 | 29 | |
| 13 | 2019 | 27 | |
| 14 | 2017 | 27 | |
| 15 | 2019 | 27 | |
| 16 | 2015 | 23 | |
| 17 | 2016 | 21 | |
| 18 | 2019 | 18 | |
| 19 | 2017 | 17 | |
| 20 | 2021 | 15 |
About Bin Yu
Bin Yu is a scholar working on General Health Professions, Clinical Psychology, Sociology and Political Science, Infectious Diseases and Epidemiology, having authored 82 papers that have together received 1.2k indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (14 papers), Health disparities and outcomes (12 papers), Suicide and Self-Harm Studies (11 papers), Adolescent Sexual and Reproductive Health (8 papers), HIV, Drug Use, Sexual Risk (7 papers), Migration, Health and Trauma (5 papers), Homelessness and Social Issues (5 papers) and Mental Health Treatment and Access (5 papers). The work is most often cited by research in Modeling and Simulation (76 citations), Health (131 citations), Clinical Psychology (287 citations), General Health Professions (260 citations) and Infectious Diseases (187 citations). Bin Yu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xinguang Chen, Hong Yan, Shiyue Li, Peigang Wang, Yan Wang, Xiangfan Chen, Jie Gong, Xiaofang Zhang, Han Xiao and Linda B. Cottler. Their work appears in journals such as Global Health Research and Policy, Journal of Adolescence, Frontiers in Psychiatry, Frontiers in Public Health and The American Journal of Drug and Alcohol Abuse.
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.