Juhee Lee

12.1k total citations
30 papers, 402 citations indexed

About

Juhee Lee is a scholar working on Statistics and Probability, Artificial Intelligence and Economics and Econometrics. According to data from OpenAlex, Juhee Lee has authored 30 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Statistics and Probability, 6 papers in Artificial Intelligence and 5 papers in Economics and Econometrics. Recurrent topics in Juhee Lee's work include Statistical Methods in Clinical Trials (10 papers), Advanced Causal Inference Techniques (7 papers) and Bayesian Methods and Mixture Models (6 papers). Juhee Lee is often cited by papers focused on Statistical Methods in Clinical Trials (10 papers), Advanced Causal Inference Techniques (7 papers) and Bayesian Methods and Mixture Models (6 papers). Juhee Lee collaborates with scholars based in United States, South Korea and Japan. Juhee Lee's co-authors include Peter F. Thall, Pavlos Msaouel, Irene A. Chen, Yuan Ji, Peter Müller, Seong‐Wook Park, Tadashi Tokai, Marilou P. Sison-Mangus, Katy Rezvani and Subhajit Sengupta and has published in prestigious journals such as Journal of the American Statistical Association, Biometrics and Frontiers in Microbiology.

In The Last Decade

Juhee Lee

29 papers receiving 380 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juhee Lee United States 11 144 87 65 62 57 30 402
Zhiguo Li United States 14 33 0.2× 315 3.6× 3 0.0× 89 1.4× 5 0.1× 43 646
Cyril Dalmasso France 13 70 0.5× 244 2.8× 2 0.0× 108 1.7× 7 0.1× 26 626
H. E. Walburg United States 10 131 0.9× 140 1.6× 2 0.0× 89 1.4× 6 0.1× 18 583
Rémy Choquet France 10 14 0.1× 104 1.2× 5 0.1× 8 0.1× 15 0.3× 33 399
Daniel Backenroth United States 12 33 0.2× 140 1.6× 5 0.1× 73 1.2× 21 0.4× 28 448
Tianxi Cai United States 8 77 0.5× 54 0.6× 10 0.2× 13 0.2× 17 292
Yaning Yang China 10 26 0.2× 183 2.1× 97 1.6× 11 0.2× 19 344
Putri W. Novianti Netherlands 13 23 0.2× 241 2.8× 161 2.6× 11 0.2× 23 493
R. E. Tarone United States 16 35 0.2× 268 3.1× 224 3.6× 8 0.1× 21 884
Aboubakar Maitournam France 3 123 0.9× 91 1.0× 91 1.5× 24 0.4× 3 393

Countries citing papers authored by Juhee Lee

Since Specialization
Citations

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

Fields of papers citing papers by Juhee Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juhee Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Juhee Lee. A scholar is included among the top collaborators of Juhee 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 Juhee Lee. Juhee Lee 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.
Msaouel, Pavlos, Juhee Lee, & Peter F. Thall. (2023). Risk–benefit trade-offs and precision utilities in phase I-II clinical trials. Clinical Trials. 21(3). 287–297. 1 indexed citations
2.
Msaouel, Pavlos, Juhee Lee, & Peter F. Thall. (2023). Interpreting Randomized Controlled Trials. Cancers. 15(19). 4674–4674. 12 indexed citations
3.
Lee, Juhee, Peter F. Thall, & Pavlos Msaouel. (2022). Bayesian Treatment Screening and Selection Using Subgroup-Specific Utilities of Response and Toxicity. Biometrics. 79(3). 2458–2473. 6 indexed citations
4.
Lee, Juhee, Peter F. Thall, Bora Lim, & Pavlos Msaouel. (2022). Utility-Based Bayesian Personalized Treatment Selection for Advanced Breast Cancer. Journal of the Royal Statistical Society Series C (Applied Statistics). 71(5). 1605–1622. 6 indexed citations
5.
Msaouel, Pavlos, Juhee Lee, José A. Karam, & Peter F. Thall. (2022). A Causal Framework for Making Individualized Treatment Decisions in Oncology. Cancers. 14(16). 3923–3923. 21 indexed citations
6.
Lee, Juhee, Peter F. Thall, & Pavlos Msaouel. (2021). Precision Bayesian phase I‐II dose‐finding based on utilities tailored to prognostic subgroups. Statistics in Medicine. 40(24). 5199–5217. 15 indexed citations
7.
Chen, Irene A., et al.. (2021). A Bayesian Nonparametric Analysis for Zero-Inflated Multivariate Count Data with Application to Microbiome Study. Journal of the Royal Statistical Society Series C (Applied Statistics). 70(4). 961–979. 9 indexed citations
8.
Lee, Juhee, et al.. (2020). Microbial predictors of healing and short-term effect of debridement on the microbiome of chronic wounds. npj Biofilms and Microbiomes. 6(1). 21–21. 109 indexed citations
9.
Lee, Juhee, Peter F. Thall, & Steven H. Lin. (2019). Bayesian semiparametric joint regression analysis of recurrent adverse events and survival in esophageal cancer patients. The Annals of Applied Statistics. 13(1). 221–247. 2 indexed citations
10.
Lee, Juhee & Marilou P. Sison-Mangus. (2018). A Bayesian Semiparametric Regression Model for Joint Analysis of Microbiome Data. Frontiers in Microbiology. 9. 522–522. 15 indexed citations
11.
Lee, Juhee, Peter F. Thall, & Katy Rezvani. (2018). Optimizing Natural Killer Cell Doses for Heterogeneous Cancer Patients on the Basis of Multiple Event Times. Journal of the Royal Statistical Society Series C (Applied Statistics). 68(2). 461–474. 20 indexed citations
12.
Lee, Juhee, Peter F. Thall, Yuan Ji, & Peter Müller. (2015). A decision-theoretic phase I–II design for ordinal outcomes in two cycles. Biostatistics. 17(2). 304–319. 6 indexed citations
13.
Lee, Juhee, Peter F. Thall, Yuan Ji, & Peter Müller. (2014). Bayesian Dose-Finding in Two Treatment Cycles Based on the Joint Utility of Efficacy and Toxicity. Journal of the American Statistical Association. 110(510). 711–722. 44 indexed citations
14.
Lee, Juhee, Steven N. MacEachern, Yiling Lu, & Gordon B. Mills. (2014). Local-Mass Preserving Prior Distributions for Nonparametric Bayesian Models. Bayesian Analysis. 9(2). 4 indexed citations
15.
Kim, Tae-Kyung, et al.. (2013). A study on the selectivity of grid type escape device for the reduction of small size of fish in set net. Journal of the Korean society of Fisheries Technology. 49(3). 188–199. 1 indexed citations
16.
Hans, Chris, Greg M. Allenby, Peter F. Craigmile, et al.. (2012). Covariance Decompositions for Accurate Computation in Bayesian Scale-Usage Models. Journal of Computational and Graphical Statistics. 21(2). 538–557. 2 indexed citations
17.
Lee, Juhee, et al.. (2011). A Survey of Shrimp Pot Fishery Bycatch and Discard in Funka Bay, Hokkaido, Japan. Korean Journal of Fisheries and Aquatic Sciences. 44(4). 397–402. 1 indexed citations
18.
Kim, Seonghun, et al.. (2008). Size selectivity by alter the slope length and angle of coonstrip shrim (Pandalus hypsinotus Brandt) pot using in Hokkaido, Japan. Journal of the Korean society of Fisheries Technology. 44(4). 273–281. 3 indexed citations
19.
Lee, Juhee, et al.. (2003). Species Composition and Seasonal Variation of the Shrimp Beam Trawl Fisheries in the Adjacent Waters Geomundo, Korea. 39(1). 63–76. 5 indexed citations
20.
Lee, Juhee, et al.. (1995). The Fluctuations of Catches in Set Nets Around Kyeongbuk Province. 31(2). 153–165. 2 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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