Young Jack Lee

2.1k total citations
35 papers, 1.6k citations indexed

About

Young Jack Lee is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Artificial Intelligence. According to data from OpenAlex, Young Jack Lee has authored 35 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Statistics and Probability, 5 papers in Statistics, Probability and Uncertainty and 4 papers in Artificial Intelligence. Recurrent topics in Young Jack Lee's work include Statistical Methods in Clinical Trials (10 papers), Statistical Methods and Bayesian Inference (9 papers) and Advanced Statistical Methods and Models (8 papers). Young Jack Lee is often cited by papers focused on Statistical Methods in Clinical Trials (10 papers), Statistical Methods and Bayesian Inference (9 papers) and Advanced Statistical Methods and Models (8 papers). Young Jack Lee collaborates with scholars based in United States, South Korea and Ireland. Young Jack Lee's co-authors include Karin B. Nelson, Deborah G. Hirtz, Jonas H. Ellenberg, Jacqueline R. Farwell, Stephen Sulzbacher, James L. Mills, Mary Conley, Maurice J. Staquet, Marcel Rozencweig and Franco M. Muggia and has published in prestigious journals such as New England Journal of Medicine, Journal of the American Statistical Association and Diabetes Care.

In The Last Decade

Young Jack Lee

33 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Young Jack Lee United States	16	447	334	222	212	169	35	1.6k
Warren L. May United States	29	658 1.5×	140 0.4×	87 0.4×	794 3.7×	91 0.5×	86	2.6k
Huub Straatman Netherlands	31	451 1.0×	96 0.3×	127 0.6×	64 0.3×	90 0.5×	77	3.1k
Ivar Heuch Norway	39	508 1.1×	291 0.9×	109 0.5×	350 1.7×	49 0.3×	114	4.5k
Ronald W. Helms United States	20	341 0.8×	123 0.4×	189 0.9×	25 0.1×	52 0.3×	59	2.2k
J. Yerushalmy United States	19	663 1.5×	186 0.6×	52 0.2×	245 1.2×	46 0.3×	41	1.7k
Cristina Sison United States	32	290 0.6×	112 0.3×	58 0.3×	331 1.6×	189 1.1×	123	3.4k
Philip Jarvis United Kingdom	18	139 0.3×	83 0.2×	247 1.1×	27 0.1×	179 1.1×	30	1.6k
Daniela Zugna Italy	18	212 0.5×	56 0.2×	87 0.4×	85 0.4×	133 0.8×	58	1.6k
Sarah Davis United Kingdom	30	131 0.3×	177 0.5×	52 0.2×	137 0.6×	136 0.8×	112	3.7k
Earl L. Diamond United States	32	135 0.3×	51 0.2×	59 0.3×	131 0.6×	36 0.2×	58	2.6k

Countries citing papers authored by Young Jack Lee

Since Specialization

Citations

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

Fields of papers citing papers by Young Jack Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young Jack Lee. 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 Young Jack Lee. The network helps show where Young Jack Lee may publish in the future.

Co-authorship network of co-authors of Young Jack Lee

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

All Works

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20 of 20 papers shown

Zacur, Howard A., et al.. (2006). Hormone levels before and after tubal sterilization. Contraception. 73(5). 507–511. 13 indexed citations

Park, Eunsik & Young Jack Lee. (2001). ESTIMATES OF STANDARD DEVIATION OF SPEARMAN'S RANK CORRELATION COEFFICIENTS WITH DEPENDENT OBSERVATIONS. Communications in Statistics - Simulation and Computation. 30(1). 129–142. 25 indexed citations

Park, Taesung & Young Jack Lee. (2001). Covariance models for nested repeated measures data: analysis of ovarian steroid secretion data. Statistics in Medicine. 21(1). 143–164. 27 indexed citations

Lee, Young Jack, et al.. (2000). Non-parametric test of ordered alternatives in incomplete blocks. Statistics in Medicine. 19(10). 1329–1337. 1 indexed citations

Choi, Sung C. & Young Jack Lee. (1999). Interim analyses with delayed observations in clinical trials. Statistics in Medicine. 18(11). 1297–1306. 2 indexed citations

Mills, James L., Anne M. Molloy, Helen Burke, et al.. (1999). Methylenetetrahydrofolate reductase thermolabile variant and oral clefts. American Journal of Medical Genetics. 86(1). 71–74. 114 indexed citations

Mills, James L., Lois Jovanovič, Robert H. Knopp, et al.. (1998). Physiological reduction in fasting plasma glucose concentration in the first trimester of normal pregnancy: The diabetes in early pregnancy study. Metabolism. 47(9). 1140–1144. 133 indexed citations

Lee, Young Jack. (1997). A Two-Sample Nonparametric Test with Missing Observations. American Journal of Mathematical and Management Sciences. 17(1-2). 187–200. 2 indexed citations

Mills, James L., John M. Scott, Peadar N. Kirke, et al.. (1996). Homocysteine and Neural Tube Defects. Journal of Nutrition. 126(3). 756S–760S. 81 indexed citations

10.

Lee, Young Jack, Jonas H. Ellenberg, Deborah G. Hirtz, & Karin B. Nelson. (1991). Analysis of clinical trials by treatment actually received: Is it really an option?. Statistics in Medicine. 10(10). 1595–1605. 217 indexed citations

11.

Farwell, Jacqueline R., Young Jack Lee, Deborah G. Hirtz, et al.. (1990). Phenobarbital for Febrile Seizures — Effects on Intelligence and on Seizure Recurrence. New England Journal of Medicine. 322(6). 364–369. 417 indexed citations

12.

Caspary, William J., et al.. (1988). Evaluation of the l5178y mouse lymphoma cell mutagenesis assay: Quality-control guidelines and response categories. Environmental Mutagenesis. 12(S13). 19–36. 21 indexed citations

13.

Lee, Young Jack & Edward J. Dudewicz. (1986). On selecting the best contender. Journal of Computational and Applied Mathematics. 16(2). 135–143. 3 indexed citations

14.

McGregor, Douglas, Robert D. Prentice, Malcolm J. McConville, Young Jack Lee, & William J. Caspary. (1984). Reduced mutant yield at high doses in the Salmonella/activation assay: The cause is not always toxicity. Environmental Mutagenesis. 6(4). 545–557. 18 indexed citations

15.

Lee, Young Jack. (1984). Quick and Simple Approximation of Sample Sizes for Comparing Two Independent Binomial Distributions: Different-Sample-Size Case. Biometrics. 40(1). 239–239. 11 indexed citations

16.

Lee, Young Jack. (1980). Test of Trend in Count Data: Multinomial Distribution Case. Journal of the American Statistical Association. 75(372). 1010–1014. 6 indexed citations

17.

Lee, Young Jack. (1977). Winner selection. Winter Simulation Conference. 86–91. 2 indexed citations

18.

Lee, Young Jack & Douglas A. Wolfe. (1976). A Distribution-Free Test for Stochastic Ordering. Journal of the American Statistical Association. 71(355). 722–727. 27 indexed citations

19.

Lee, Young Jack & Douglas A. Wolfe. (1976). A Distribution-Free Test for Stochastic Ordering. Journal of the American Statistical Association. 71(355). 722–722. 5 indexed citations

20.

Lee, Young Jack. (1974). Nonparametric ranking and selection procedures /. OhioLink ETD Center (Ohio Library and Information Network). 6 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.

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