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Researcher · University of Michigan · United States

Peisong Han

Peisong Han publishes mostly in Statistics and Probability, Artificial Intelligence and Psychiatry and Mental health, on topics such as Statistical Methods and Inference, Statistical Methods and Bayesian Inference and Advanced Causal Inference Techniques.

ORCID 0000-0001-8603-5009 OpenAlex
World rank
#1,292,351
of 7,710,434 ranked researchers
Rank in United States
#411,325
of 1,627,098
Works
78
Citations
1.2k
Citations per work
15.9
h-index
18
i10-index 29Top 25% in Statistics and Probability
Peisong Han

What does Peisong Han research?

Peisong Han's work is mostly in Mathematics (57%), Medicine (6%), Computer Science (4%).

Physical Sciences: 48 works · 61.1% of their workMathematics: 44 works · 56.9% of their workStatistics and Probability: 44 works · 56.9% of their workComputer Science: 3 works · 4.2% of their workArtificial Intelligence: 3 works · 4.2% of their workEverything else: 21 works · 26.8% of their workHealth Sciences: 5 works · 6.5% of their workMedicine: 5 works · 6.5% of their workPsychiatry and Mental health: 3 works · 3.7% of their workRadiology, Nuclear Medicine and Imaging: 2 works · 2.8% of their workSocial Sciences: 4 works · 5.6% of their workEconomics, Econometrics and Finance: 2 works · 2.8% of their workEconomics and Econometrics: 2 works · 2.8% of their workPsychology: 2 works · 2.8% of their workExperimental and Cognitive Psychology: 2 works · 2.8% of their workTHEIR WORKPeisong Han78works
Physical Sciences61%Health Sciences6%Social Sciences6%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Mathematics4456.9%
    2. Computer Science34.2%
  2. Everything else2126.8%
    1. Medicine56.5%
    1. Economics, Econometrics and Finance22.8%
    2. Psychology22.8%
  1. 1Statistics and Probability57% of their works
  2. 2Artificial Intelligence4% of their works
  3. 3Psychiatry and Mental health4% of their works
  4. 4Economics and Econometrics3% of their works
  5. 5Radiology, Nuclear Medicine and Imaging3% of their works
  6. 6Experimental and Cognitive Psychology3% of their works

Research topics

Which keywords describe Peisong Han's research?

The keywords of their largest research topics: Bayesian Methods, Regularization, Variable Selection, Bayesian Modeling, Multiple Imputation, Causal Inference, Propensity Score and Adaptive Designs.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.

All 17 words, with their numbers
  1. Bayesian Methods532 topics
  2. Regularization441 topic
  3. Variable Selection441 topic
  4. Bayesian Modeling381 topic
  5. Multiple Imputation381 topic
  6. Causal Inference251 topic
  7. Propensity Score251 topic
  8. Adaptive Designs91 topic
  9. Clustering91 topic
  10. False Discovery Rate91 topic
  11. Mixture Models91 topic
  12. Bipolar Spectrum Disorder61 topic
  13. Prevalence61 topic
  14. COVID-1941 topic
  15. Cancer41 topic
  16. Neurologic Manifestations41 topic
  17. Post-acute COVID-19 Syndrome41 topic

Where does Peisong Han work?

Peisong Han's main affiliation in the publication record is University of Michigan, United States.

How many publications and citations does Peisong Han have?

OpenAlex counts 78 works and 1,239 citations for Peisong Han, an h-index of 18, ranking #1,292,351 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

Discussion

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