Shuli Yu
Impact in
- General Decision Sciences top 5%
- Decision-Making and Behavioral Economics
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- Neural and Behavioral Psychology Studies
- Neural dynamics and brain function
- Visual perception and processing mechanisms
Papers in
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- Mobile Health and mHealth Applications 2
- Health Literacy and Information Accessibility 2
- Co-authors
- Timothy J. Pleskac (3 shared papers)Bonita Stanton (6 shared papers)Jerome R. Busemeyer (1 shared paper)Xiaoming Li (5 shared papers)Peter D. Kvam (1 shared paper)Lynette Deveaux (4 shared papers)Sonja Lunn (4 shared papers)Lesley Cottrell (2 shared papers)
- Journals
- Medicine (2 papers)Decision (1 paper)Sexual Health (1 paper)Blood (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Shuli Yu
15 papers receiving 394 citations
Peers
Comparison fields: 5 of 65
- General Decision Sciences 56
- Cognitive Neuroscience 93
- Applied Psychology 20
- Clinical Psychology 85
- Health 27
Countries citing papers authored by Shuli Yu
This map shows the geographic impact of Shuli 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 Shuli Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuli Yu more than expected).
Fields of papers citing papers by Shuli Yu
This network shows the impact of papers produced by Shuli 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 Shuli Yu. The network helps show where Shuli Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Shuli 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
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 90 | |
| 2 | 2015 | 84 | |
| 3 | 2015 | 73 | |
| 4 | 2009 | 52 | |
| 5 | 2007 | 26 | |
| 6 | 2021 | 23 | |
| 7 | 2007 | 22 | |
| 8 | 2018 | 14 | |
| 9 | 2008 | 9 | |
| 10 | [Study on the cost-effectiveness, benefit and utility analysis on the infant inoculation hepatitis B vaccine in Shanghai]. | 2004 | 7 |
| 11 | Factorial structure of problem behaviors among urban and rural American adolescents. | 2007 | 6 |
| 12 | 2021 | 4 | |
| 13 | 2017 | 4 | |
| 14 | 2009 | 1 | |
| 15 | Characterizing deliberation during preferential choice | 2017 | 1 |
About Shuli Yu
Shuli Yu is a scholar working on General Health Professions, Artificial Intelligence, General Decision Sciences, Communication and Genetics, having authored 15 papers that have together received 416 indexed citations. Recurring topics across this work include Mobile Health and mHealth Applications (2 papers), Health Literacy and Information Accessibility (2 papers), Decision-Making and Behavioral Economics (2 papers), Child Abuse and Trauma (1 paper), Attachment and Relationship Dynamics (1 paper), Adolescent and Pediatric Healthcare (1 paper), Statistical Distribution Estimation and Applications (1 paper) and Child and Adolescent Psychosocial and Emotional Development (1 paper). The work is most often cited by research in General Decision Sciences (56 citations), Cognitive Neuroscience (93 citations), Applied Psychology (20 citations), Clinical Psychology (85 citations) and Health (27 citations). Shuli Yu has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Timothy J. Pleskac, Bonita Stanton, Jerome R. Busemeyer, Xiaoming Li, Peter D. Kvam, Lynette Deveaux, Sonja Lunn, Lesley Cottrell, Carole Harris and Hongmei Yang. Their work appears in journals such as Medicine, Decision, Sexual Health, Blood and Proceedings of the National Academy of Sciences.
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.