Kung‐Jong Lui

3.1k total citations · 1 hit paper
146 papers, 2.2k citations indexed

About

Kung‐Jong Lui is a scholar working on Statistics and Probability, Management Science and Operations Research and Economics and Econometrics. According to data from OpenAlex, Kung‐Jong Lui has authored 146 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 120 papers in Statistics and Probability, 31 papers in Management Science and Operations Research and 21 papers in Economics and Econometrics. Recurrent topics in Kung‐Jong Lui's work include Statistical Methods in Clinical Trials (84 papers), Statistical Methods and Inference (54 papers) and Statistical Methods and Bayesian Inference (52 papers). Kung‐Jong Lui is often cited by papers focused on Statistical Methods in Clinical Trials (84 papers), Statistical Methods and Inference (54 papers) and Statistical Methods and Bayesian Inference (52 papers). Kung‐Jong Lui collaborates with scholars based in United States, Taiwan and Norway. Kung‐Jong Lui's 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 and has published in prestigious journals such as Science, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

In The Last Decade

Kung‐Jong Lui

131 papers receiving 2.0k citations

Hit Papers

Acquired Immunodeficiency Syndrome (AIDS) Associated with... 1984 2026 1998 2012 1984 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kung‐Jong Lui United States 19 770 577 362 290 230 146 2.2k
Els Goetghebeur Belgium 35 1.4k 1.8× 283 0.5× 390 1.1× 102 0.4× 60 0.3× 133 4.0k
Victor DeGruttola United States 32 703 0.9× 686 1.2× 1.9k 5.3× 1.6k 5.6× 91 0.4× 100 3.4k
Lan Wang China 18 258 0.3× 436 0.8× 479 1.3× 95 0.3× 52 0.2× 72 1.3k
William G. Cumberland United States 31 510 0.7× 829 1.4× 1.1k 3.2× 1.4k 4.9× 807 3.5× 96 3.6k
Devan V. Mehrotra United States 30 713 0.9× 847 1.5× 879 2.4× 1.4k 4.9× 1.1k 4.9× 107 4.0k
Beat Neuenschwander Switzerland 22 1.5k 2.0× 193 0.3× 125 0.3× 97 0.3× 141 0.6× 44 2.4k
Jay P. Siegel United States 26 443 0.6× 474 0.8× 159 0.4× 155 0.5× 1.5k 6.7× 51 3.7k
Steve Bennett United Kingdom 25 447 0.6× 615 1.1× 888 2.5× 40 0.1× 599 2.6× 41 2.7k
Karim F. Hirji United States 26 440 0.6× 429 0.7× 323 0.9× 475 1.6× 613 2.7× 64 3.0k
W. Katherine Yih United States 28 177 0.2× 1.4k 2.5× 1.0k 2.9× 66 0.2× 96 0.4× 62 2.9k

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
1.
Lui, Kung‐Jong. (2018). Asymptotic and exact interval estimators of the common odds ratio under the sequential parallel comparison design. Statistical Methods in Medical Research. 28(10-11). 3074–3085.
2.
Lui, Kung‐Jong. (2018). Exact and asymptotic tests under the sequential parallel comparison design. Pharmaceutical Statistics. 17(6). 835–845.
3.
Lui, Kung‐Jong. (2017). Testing Equality of Treatments under an Incomplete Block Crossover Design with Ordinal Responses. The International Journal of Biostatistics. 13(1). 3 indexed citations
4.
Lui, Kung‐Jong. (2016). Testing Equality in Ordinal Data with Repeated Measurements: A Model-Free Approach. The International Journal of Biostatistics. 12(2).
5.
Lui, Kung‐Jong, et al.. (2014). Testing Equality and Interval Estimation in Binary Responses When High Dose Cannot Be Used First Under a Three-Period Crossover Design. Journal of Biopharmaceutical Statistics. 25(1). 190–205.
6.
Lui, Kung‐Jong, et al.. (2008). Test Equality and Sample Size Calculation Based on Risk Difference in a Randomized Clinical Trial with Noncompliance and Missing Outcomes. Biometrical Journal. 50(2). 224–236. 5 indexed citations
7.
Lui, Kung‐Jong. (2005). Interval Estimation of Risk Difference in Simple Compliance Randomized Trials. Journal of Modern Applied Statistical Methods. 5(2). 395–407. 1 indexed citations
8.
Lui, Kung‐Jong. (2004). Eight interval estimators of a common rate ratio under stratified poisson sampling. Statistics in Medicine. 23(8). 1283–1296. 5 indexed citations
9.
Lui, Kung‐Jong. (2004). Interval estimation of the proportion ratio under multiple matching. Statistics in Medicine. 24(8). 1275–1285. 7 indexed citations
10.
Lui, Kung‐Jong & Colleen Kelly. (1999). A note on interval estimation of kappa in a series of 2×2 tables. Statistics in Medicine. 18(15). 2041–2049. 5 indexed citations
11.
Lui, Kung‐Jong. (1997). Exact equivalence test for risk ratio and its sample size determination under inverse sampling. Statistics in Medicine. 16(15). 1777–1786. 14 indexed citations
12.
Eckhardt, Laura, et al.. (1996). Assessing children's ultraviolet radiation exposure: the potential usefulness of a colorimeter.. American Journal of Public Health. 86(12). 1802–1804. 23 indexed citations
13.
Lui, Kung‐Jong. (1995). Confidence limits for the population prevalence rate based on the negative binomial distribution. Statistics in Medicine. 14(13). 1471–1477. 24 indexed citations
14.
Lui, Kung‐Jong. (1991). Sample sizes for repeated measurements in dichotomous data. Statistics in Medicine. 10(3). 463–472. 21 indexed citations
15.
Marchbanks, Polly A., Kung‐Jong Lui, & James A. Mercy. (1990). RISK OF INJURY FROM RESISTING RAPE. American Journal of Epidemiology. 132(3). 540–549. 56 indexed citations
16.
Lui, Kung‐Jong, et al.. (1990). An Application of the Empirical Bayes Approach to Directly Adjusted Rates: A Note on Suicide Mapping in California. Suicide and Life-Threatening Behavior. 20(3). 240–253. 8 indexed citations
17.
Lui, Kung‐Jong. (1990). Sample size determination for case‐control studies: The influence of the joint distribution of exposure and confounder. Statistics in Medicine. 9(12). 1485–1493. 5 indexed citations
18.
Lui, Kung‐Jong, et al.. (1989). A model‐based approach to the imputation of missing data: Home injury incidences. Statistics in Medicine. 8(3). 263–266. 1 indexed citations
19.
Lui, Kung‐Jong, Thomas A. Peterman, Dale N. Lawrence, & J. R. Allen. (1988). A model‐based approach to characterize the incubation period of paediatric transfusion‐associated acquired immunodeficiency syndrome. Statistics in Medicine. 7(3). 395–401. 15 indexed citations
20.
Lui, Kung‐Jong. (1982). A Bayesian approach to small domain estimation. UMI Dissertation Information Service eBooks. 3 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026