Kung‐Jong Lui

3.1k citations
146 papers · 2.2k indexed · 1 hit paper · h-index 19
Topics
Statistical Methods in Clinical Trials (84 papers)Statistical Methods and Inference (54 papers)Statistical Methods and Bayesian Inference (52 papers)

In The Last Decade

Kung‐Jong Lui

131 papers receiving 2.0k citations

Hit Papers

Acquired Immunodeficiency Syndrome (AIDS) Associated with...19842026199820121984100200300400

Peers

Kung‐Jong Lui
Comparison fields: 5 of 153
  • Statistics and Probability 770
  • Epidemiology 577
  • Infectious Diseases 362
  • Virology 290
  • Immunology 230
Replace William G. Cumberland with:
William G. Cumberland United States
Devan V. Mehrotra United States
Els Goetghebeur Belgium
Beat Neuenschwander Switzerland
Jay P. Siegel United States
Trudie Lang United Kingdom
Richard A. Forshee United States
Victor DeGruttola United States
Andrew Roddam United Kingdom
Steve Bennett United Kingdom
Kung‐Jong Lui relative to William G. Cumberland United States William G. Cumberland's profile →
Citations per field
00.5×1.5×
William G. Cumberland · 1×
Citations per year

Countries citing papers authored by Kung‐Jong Lui

Since Specialization
Citations

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

Fields of papers citing papers by Kung‐Jong Lui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kung‐Jong Lui. 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 Kung‐Jong Lui. The network helps show where Kung‐Jong Lui may publish in the future.

Co-authorship network of co-authors of Kung‐Jong Lui

This figure shows the co-authorship network connecting the top 25 collaborators of Kung‐Jong Lui. A scholar is included among the top collaborators of Kung‐Jong Lui 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 Kung‐Jong Lui. Kung‐Jong Lui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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11 14
12 23
13 24
14 21
15 56
16 8
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18 1
19 15
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A Bayesian approach to small domain estimation
3

About Kung‐Jong Lui

Kung‐Jong Lui is a scholar working on Statistics and Probability, Management Science and Operations Research and Statistics, Probability and Uncertainty, having authored 146 papers that have together received 2.2k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (84 papers), Statistical Methods and Inference (54 papers) and Statistical Methods and Bayesian Inference (52 papers). The work is most often cited by research in Statistics and Probability (770 citations), Virology (290 citations) and Modeling and Simulation (101 citations). Kung‐Jong Lui has collaborated with scholars based in United States, Taiwan and Norway. Frequent co-authors include Alan P. Kendal, Dale N. Lawrence, George W Rutherford, William W. Darrow, Harry W. Haverkos, William G. Cumberland, Thomas A. Peterman, Polly A. Marchbanks, Colleen Kelly and Steven L. Solomon. Their work appears in journals such as Science, New England Journal of Medicine 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.

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