Shen‐Ming Lee

2.5k total citations · 1 hit paper
40 papers, 1.8k citations indexed

About

Shen‐Ming Lee is a scholar working on Statistics and Probability, Artificial Intelligence and Ecology. According to data from OpenAlex, Shen‐Ming Lee has authored 40 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Statistics and Probability, 12 papers in Artificial Intelligence and 7 papers in Ecology. Recurrent topics in Shen‐Ming Lee's work include Statistical Methods and Bayesian Inference (14 papers), Survey Sampling and Estimation Techniques (13 papers) and Census and Population Estimation (13 papers). Shen‐Ming Lee is often cited by papers focused on Statistical Methods and Bayesian Inference (14 papers), Survey Sampling and Estimation Techniques (13 papers) and Census and Population Estimation (13 papers). Shen‐Ming Lee collaborates with scholars based in Taiwan, United States and Vietnam. Shen‐Ming Lee's co-authors include Anne Chao, Cathy W. S. Chen, Chin‐Shang Li, Ying‐Hen Hsieh, Jean de Dieu Tapsoba, Wen‐Han Hwang, Paul S. F. Yip, Jui‐Shan Lin, Yi‐Chang Su and Kim-Hung Pho and has published in prestigious journals such as Journal of the American Statistical Association, Biometrics and International Journal of Epidemiology.

In The Last Decade

Shen‐Ming Lee

40 papers receiving 1.7k citations

Hit Papers

Estimating the Number of Classes via Sample Coverage 1992 2026 2003 2014 1992 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shen‐Ming Lee Taiwan 12 736 371 337 336 224 40 1.8k
Agbogbenkou Têvi Déla-dem Lawson United States 13 1.3k 1.7× 291 0.8× 76 0.2× 592 1.8× 193 0.9× 23 2.1k
José Miguel Ponciano United States 26 900 1.2× 76 0.2× 420 1.2× 375 1.1× 235 1.0× 61 2.0k
Richard Barker New Zealand 31 2.3k 3.1× 379 1.0× 124 0.4× 1.1k 3.2× 305 1.4× 97 3.2k
Steven J. Schwager United States 24 764 1.0× 95 0.3× 208 0.6× 127 0.4× 417 1.9× 63 3.2k
Thierry Duchesne Canada 19 1.5k 2.1× 201 0.5× 64 0.2× 422 1.3× 269 1.2× 65 2.3k
D. S. Robson United States 29 1.7k 2.4× 606 1.6× 191 0.6× 1.5k 4.4× 340 1.5× 97 3.8k
Franck Jabot France 20 350 0.5× 82 0.2× 116 0.3× 495 1.5× 317 1.4× 44 1.1k
J. Richard Alldredge United States 27 975 1.3× 77 0.2× 85 0.3× 375 1.1× 188 0.8× 83 2.4k
Richard Morton Australia 31 565 0.8× 167 0.5× 179 0.5× 504 1.5× 964 4.3× 113 3.2k
Tsung‐Jen Shen Taiwan 12 1.2k 1.6× 58 0.2× 470 1.4× 1.1k 3.1× 816 3.6× 37 3.1k

Countries citing papers authored by Shen‐Ming Lee

Since Specialization
Citations

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

Fields of papers citing papers by Shen‐Ming Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shen‐Ming Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Shen‐Ming Lee. A scholar is included among the top collaborators of Shen‐Ming 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 Shen‐Ming Lee. Shen‐Ming 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.
Lee, Shen‐Ming, et al.. (2024). Large-sample properties of multiple imputation estimators for parameters of logistic regression with covariates missing at random separately or simultaneously. Annals of the Institute of Statistical Mathematics. 77(2). 251–287. 1 indexed citations
2.
Lee, Shen‐Ming, et al.. (2023). Randomized Response Techniques: A Systematic Review from the Pioneering Work of Warner (1965) to the Present. Mathematics. 11(7). 1718–1718. 7 indexed citations
3.
Lee, Shen‐Ming, et al.. (2023). Prediction of a Sensitive Feature under Indirect Questioning via Warner’s Randomized Response Technique and Latent Class Model. Mathematics. 11(2). 345–345. 3 indexed citations
4.
Lee, Shen‐Ming, et al.. (2022). Goodness-of-fit tests for a logistic regression model with missing covariates. Statistical Methods in Medical Research. 31(6). 1031–1050. 5 indexed citations
5.
Lee, Shen‐Ming, et al.. (2022). Estimation of logistic regression with covariates missing separately or simultaneously via multiple imputation methods. Computational Statistics. 38(2). 899–934. 2 indexed citations
6.
Lee, Shen‐Ming, et al.. (2021). Estimation of parameters of logistic regression with covariates missing separately or simultaneously. Communication in Statistics- Theory and Methods. 52(6). 1981–2009. 3 indexed citations
7.
Huang, Yi-Chia, et al.. (2018). The use of time-domain analysis on the choice of measurement location for pulse diagnosis research. Journal of the Chinese Medical Association. 82(1). 78–85. 11 indexed citations
8.
Huang, Yi-Chia, et al.. (2018). Different Harmonic Characteristics Were Found at Each Location on TCM Radial Pulse Diagnosis by Spectrum Analysis. Evidence-based Complementary and Alternative Medicine. 2018(1). 9018271–9018271. 16 indexed citations
9.
Lee, Shen‐Ming, Wen‐Han Hwang, & Jean de Dieu Tapsoba. (2016). Estimation in Closed Capture–Recapture Models when Covariates Are Missing at Random. Biometrics. 72(4). 1294–1304. 11 indexed citations
10.
Lee, Shen‐Ming, et al.. (2016). Randomized response techniques for a multi-level attribute using a single sensitive question. Statistical Papers. 59(1). 291–306. 9 indexed citations
11.
Tapsoba, Jean de Dieu, et al.. (2011). Approximate nonparametric corrected-score method for joint modeling of survival and longitudinal data measured with error. Biometrical Journal. 53(4). 557–577. 1 indexed citations
12.
Lee, Shen‐Ming, et al.. (2010). Semiparametric Methods in the Proportional Odds Model for Ordinal Response Data with Missing Covariates. Biometrics. 67(3). 788–798. 5 indexed citations
13.
Tapsoba, Jean de Dieu, et al.. (2010). Joint modeling of survival time and longitudinal data with subject‐specific changepoints in the covariates. Statistics in Medicine. 30(3). 232–249. 11 indexed citations
14.
Hsieh, Ying‐Hen, et al.. (2002). Estimating the number of Cubans infected sexually by human immunodeficiency virus using contact tracing data. International Journal of Epidemiology. 31(3). 679–683. 8 indexed citations
15.
Hsieh, Ying‐Hen, et al.. (2001). On the recent sharp increase in HIV detections in Cuba. AIDS. 15(3). 426–428. 10 indexed citations
16.
Su, Yi‐Chang, et al.. (2001). Effects of huangqi jianzhong tang on hematological and biochemical parameters in judo athletes.. PubMed. 22(12). 1154–8. 17 indexed citations
17.
Hsieh, Ying‐Hen, Cathy W. S. Chen, & Shen‐Ming Lee. (2000). Empirical Bayes approach to estimating the number of HIV-infected individuals in hidden and elusive populations. Statistics in Medicine. 19(22). 3095–3108. 15 indexed citations
18.
Lee, Shen‐Ming & Cathy W. S. Chen. (1998). BAYESIAN INFERENCE OF POPULATION SIZE FOR BEHAVIORAL RESPONSE MODELS. 17 indexed citations
19.
Lee, Shen‐Ming & Anne Chao. (1994). Estimating Population Size Via Sample Coverage for Closed Capture-Recapture Models. Biometrics. 50(1). 88–88. 390 indexed citations
20.
Chao, Anne & Shen‐Ming Lee. (1992). Estimating the Number of Classes via Sample Coverage. Journal of the American Statistical Association. 87(417). 210–217. 1005 indexed citations breakdown →

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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