Yuanjia Wang
- Clinical Psychology top 1%
- Psychiatry and Mental health top 2%
- Public Health, Environmental and Occupational Health top 5%
- Critical Care and Intensive Care Medicine top 1%
- Experimental and Cognitive Psychology top 5%
- Co-authors
- Donglin ZengChristine MauroM. Katherine ShearNatalia SkritskayaNaihua DuanB. Timothy WalshJoanna SteinglassH. Blair Simpson
- Topics
- Statistical Methods and Inference (28 papers)Genetic Associations and Epidemiology (20 papers)Advanced Causal Inference Techniques (18 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American Statistical AssociationPLoS ONE
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Yuanjia Wang
129 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Clinical Psychology 1.4k
- Psychiatry and Mental health 493
- Public Health, Environmental and Occupational Health 454
- Critical Care and Intensive Care Medicine 292
- Experimental and Cognitive Psychology 273
Countries citing papers authored by Yuanjia Wang
This map shows the geographic impact of Yuanjia Wang'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 Yuanjia Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuanjia Wang more than expected).
Fields of papers citing papers by Yuanjia Wang
This network shows the impact of papers produced by Yuanjia Wang. 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 Yuanjia Wang. The network helps show where Yuanjia Wang may publish in the future.
Co-authorship network of co-authors of Yuanjia Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Yuanjia Wang. A scholar is included among the top collaborators of Yuanjia Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yuanjia Wang. Yuanjia Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 5 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 9 | |
| 10 | 64 | |
| 11 | 0 | |
| 12 | 46 | |
| 13 | 41 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 8 | |
| 17 | 56 | |
| 18 | 7 | |
| 19 | 119 | |
| 20 | 38 |
About Yuanjia Wang
Yuanjia Wang is a scholar working on Statistics and Probability, Computational Mathematics and Clinical Psychology, having authored 144 papers that have together received 3.2k indexed citations. Recurring topics across this work include Statistical Methods and Inference (28 papers), Genetic Associations and Epidemiology (20 papers) and Advanced Causal Inference Techniques (18 papers). The work is most often cited by research in Clinical Psychology (1.4k citations), Critical Care and Intensive Care Medicine (292 citations) and Statistics and Probability (270 citations). Yuanjia Wang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Donglin Zeng, Christine Mauro, M. Katherine Shear, Natalia Skritskaya, Naihua Duan, B. Timothy Walsh, Joanna Steinglass, H. Blair Simpson, Huaihou Chen and Evelyn Attia. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and PLoS ONE.
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.