Han Du

1.0k citations
50 papers · 651 · h-index 17

Impact in

Papers in

Han Du

47 papers receiving 636 citations

Peers

Han Du
Comparison fields: 5 of 113
  • Statistics and Probability 116
  • Applied Psychology 37
  • Clinical Psychology 124
  • Experimental and Cognitive Psychology 68
  • Social Psychology 103
Replace Brian T Keller with:
Brian T Keller United States
Shu-Hui Lin Taiwan
Johanna Hartung Germany
John T. Vessey United States
Pascal R. Deboeck United States
Veronica T. Cole United States
Yu‐Yu Hsiao United States
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Han Du relative to Brian T Keller United States Brian T Keller's profile →
Citations per field
00.5×1.7×
Brian T Keller · 1×
Citations per year

Countries citing papers authored by Han Du

Since Specialization
Citations

This map shows the geographic impact of Han Du'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 Han Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Han Du more than expected).

Fields of papers citing papers by Han Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Han Du. 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 Han Du. The network helps show where Han Du may publish in the future.

Co-authors

The 25 scholars most cited alongside Han Du, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Han Du Line = papers co-authored together Han Du links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019102
2 201855
3 201733
4 201431
5 201629
6 201726
7 201624
8 201824
9 201823
10 201720
11 201919
12 201919
13 202118
14 202217
15 201417
16 202016
17 202116
18 201614
19 202313
20 202113

About Han Du

Han Du is a scholar working on Statistics and Probability, Management Science and Operations Research, Epidemiology, Artificial Intelligence and Social Psychology, having authored 50 papers that have together received 651 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (13 papers), Substance Abuse Treatment and Outcomes (7 papers), Psychometric Methodologies and Testing (7 papers), Meta-analysis and systematic reviews (4 papers), Statistical Distribution Estimation and Applications (3 papers), Economic and Environmental Valuation (3 papers), Advanced Statistical Methods and Models (3 papers) and Survey Sampling and Estimation Techniques (3 papers). The work is most often cited by research in Statistics and Probability (116 citations), Applied Psychology (37 citations), Clinical Psychology (124 citations), Experimental and Cognitive Psychology (68 citations) and Social Psychology (103 citations). Han Du has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Craig K. Enders, Brian T Keller, Lijuan Wang, Lijuan Wang, E. Mark Cummings, Patrick T. Davies, Mengyu Gao, Lijuan Wang, Irene J. K. Park and Peter M. Bentler. Their work appears in journals such as Multivariate Behavioral Research, Behavior Research Methods, Structural Equation Modeling A Multidisciplinary Journal, Psychological Methods and Psychopharmacology.

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.

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