Peisong Han
- Statistics and Probability top 1%
- Artificial Intelligence
- Economics and Econometrics
- Clinical Psychology
- Experimental and Cognitive Psychology
- Co-authors
- Lianzhou WangJerald F. LawlessMelvin G. McInnisAnastasia K. YocumPeter X.‐K. SongJeremy M. G. TaylorBenjamin M. SegalAshok Srinivasan
- Topics
- Statistical Methods and Inference (35 papers)Statistical Methods and Bayesian Inference (33 papers)Advanced Causal Inference Techniques (19 papers)
- Cited by
- Statistics and ProbabilityExperimental and Cognitive PsychologyPsychiatry and Mental health
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American Statistical AssociationPLoS ONE
- Partner nations
- United StatesCanadaChina
In The Last Decade
Peisong Han
45 papers receiving 661 citations
Peers
Comparison fields: 5 of 100
- Statistics and Probability 466
- Artificial Intelligence 67
- Economics and Econometrics 55
- Clinical Psychology 48
- Experimental and Cognitive Psychology 36
Countries citing papers authored by Peisong Han
This map shows the geographic impact of Peisong Han'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 Peisong Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peisong Han more than expected).
Fields of papers citing papers by Peisong Han
This network shows the impact of papers produced by Peisong Han. 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 Peisong Han. The network helps show where Peisong Han may publish in the future.
Co-authorship network of co-authors of Peisong Han
This figure shows the co-authorship network connecting the top 25 collaborators of Peisong Han. A scholar is included among the top collaborators of Peisong Han 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 Peisong Han. Peisong Han is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 2 | |
| 10 | 7 | |
| 11 | 2 | |
| 12 | 9 | |
| 13 | 4 | |
| 14 | 17 | |
| 15 | 11 | |
| 16 | 36 | |
| 17 | 6 | |
| 18 | 3 | |
| 19 | 36 | |
| 20 | 2 |
About Peisong Han
Peisong Han is a scholar working on Statistics and Probability, Psychiatry and Mental health and Health, having authored 53 papers that have together received 703 indexed citations. Recurring topics across this work include Statistical Methods and Inference (35 papers), Statistical Methods and Bayesian Inference (33 papers) and Advanced Causal Inference Techniques (19 papers). The work is most often cited by research in Statistics and Probability (466 citations), Experimental and Cognitive Psychology (36 citations) and Psychiatry and Mental health (35 citations). Peisong Han has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Lianzhou Wang, Jerald F. Lawless, Melvin G. McInnis, Anastasia K. Yocum, Peter X.‐K. Song, Jeremy M. G. Taylor, Benjamin M. Segal, Ashok Srinivasan, Amanda K. Huber and Xu Zhang. 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.