Kam‐Wah Tsui

2.4k total citations · 1 hit paper
55 papers, 1.6k citations indexed

About

Kam‐Wah Tsui is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Kam‐Wah Tsui has authored 55 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Statistics and Probability, 17 papers in Artificial Intelligence and 8 papers in Management Science and Operations Research. Recurrent topics in Kam‐Wah Tsui's work include Statistical Methods and Bayesian Inference (18 papers), Statistical Methods and Inference (18 papers) and Bayesian Methods and Mixture Models (13 papers). Kam‐Wah Tsui is often cited by papers focused on Statistical Methods and Bayesian Inference (18 papers), Statistical Methods and Inference (18 papers) and Bayesian Methods and Mixture Models (13 papers). Kam‐Wah Tsui collaborates with scholars based in United States, Canada and South Korea. Kam‐Wah Tsui's co-authors include F. R. Blattner, Christina Kendziorski, Michael A. Newton, Craig S. Richmond, Tom Leonard, Samaradasa Weerahandi, S. James Press, Shijie Tang, Ella Mae Matsumura and J.S. Hsu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Bioinformatics.

In The Last Decade

Kam‐Wah Tsui

50 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

On Differential Variability of Expression Ratios: Improving Statistical Inference about Gene Expression Changes from Microarray Data

2001 539 citations Michael A. Newton, Christina Kendziorski et al. Journal of Computational Biology profile →

Peers

Kam‐Wah Tsui

SP

MB

AI

MSOR

SPU

Sara A. van de Geer Netherlands

Jianhua Z. Huang United States

Heng Peng China

Sanat K. Sarkar United States

Helmut Finner Germany

Louis Gordon United States

Steven N. MacEachern United States

Robert G. Staudte Australia

Chenlei Leng Singapore

Tsung‐I Lin Taiwan

Sara A. van de Geer Netherlands

Kam‐Wah Tsui

766 ×1.0

SP

722 ×1.2

MB

393 ×1.5

AI

67 ×0.3

MSOR

66 ×0.3

SPU

Citations per year, relative to Kam‐Wah Tsui Kam‐Wah Tsui (= 1×) peers Sara A. van de Geer

Countries citing papers authored by Kam‐Wah Tsui

Since Specialization

Citations

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

Fields of papers citing papers by Kam‐Wah Tsui

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kam‐Wah Tsui. 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 Kam‐Wah Tsui. The network helps show where Kam‐Wah Tsui may publish in the future.

Co-authorship network of co-authors of Kam‐Wah Tsui

This figure shows the co-authorship network connecting the top 25 collaborators of Kam‐Wah Tsui. A scholar is included among the top collaborators of Kam‐Wah Tsui 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 Kam‐Wah Tsui. Kam‐Wah Tsui 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

1.

Chan, V. S., et al.. (2020). Efficient estimation of smoothing spline with exact shape constraints. SHILAP Revista de lepidopterología. 5(1). 55–69. 1 indexed citations

2.

Han, Seungbong, Adin‐Cristian Andrei, & Kam‐Wah Tsui. (2013). A flexible semiparametric modeling approach for doubly censored data with an application to prostate cancer. Statistical Methods in Medical Research. 25(4). 1718–1735. 1 indexed citations

3.

Han, Seungbong, Adin‐Cristian Andrei, & Kam‐Wah Tsui. (2010). A Robust Method for Large‐Scale Multiple Hypotheses Testing. Biometrical Journal. 52(2). 222–232. 1 indexed citations

4.

Tsui, Kam‐Wah. (2010). Simultaneous estimation of the parameters of the distributions of independent Poisson random variables. Open Collections.

5.

Hu, Bo, Yuan Ji, & Kam‐Wah Tsui. (2008). Bayesian Estimation of Inverse Dose Response. Biometrics. 64(4). 1223–1230. 5 indexed citations

6.

Guan, Qiaoning, Wei Zheng, Shijie Tang, et al.. (2006). Impact of Nonsense-Mediated mRNA Decay on the Global Expression Profile of Budding Yeast. PLoS Genetics. 2(11). e203–e203. 111 indexed citations

7.

Tsui, Kam‐Wah, et al.. (2005). A micro-movement model with Bayes estimation via filtering: Application to measuring trading noises and costs. Nonlinear Analysis. 64(2). 295–309. 3 indexed citations

8.

Ji, Yuan, Kam‐Wah Tsui, & KyungMann Kim. (2004). A novel means of using gene clusters in a two-step empirical Bayes method for predicting classes of samples. Bioinformatics. 21(7). 1055–1061. 4 indexed citations

9.

Newton, Michael A., Christina Kendziorski, Craig S. Richmond, F. R. Blattner, & Kam‐Wah Tsui. (2001). On Differential Variability of Expression Ratios: Improving Statistical Inference about Gene Expression Changes from Microarray Data. Journal of Computational Biology. 8(1). 37–52. 539 indexed citations breakdown →

10.

Tsui, Kam‐Wah, et al.. (1996). NEW PARTIALLY SYSTEMATIC SAMPLING. 15 indexed citations

11.

Matsumura, Ella Mae, Kam‐Wah Tsui, & Wing‐Keung Wong. (1990). An extended multinomial‐Dirichlet model for error bounds for dollar‐unit sampling*. Contemporary Accounting Research. 6(2). 485–500. 37 indexed citations

12.

Leonard, Tom, J.S. Hsu, & Kam‐Wah Tsui. (1989). Bayesian Marginal Inference. Journal of the American Statistical Association. 84(408). 1051–1058. 39 indexed citations

13.

Tsui, Kam‐Wah & Samaradasa Weerahandi. (1989). Generalized p -Values in Significance Testing of Hypotheses in the Presence of Nuisance Parameters. Journal of the American Statistical Association. 84(406). 602–607. 81 indexed citations

14.

Tsui, Kam‐Wah. (1986). Further Developments on the Robustness of Clevenson—Zidek-Type Means Estimators. Journal of the American Statistical Association. 81(393). 176–180. 6 indexed citations

15.

Tsui, Kam‐Wah. (1984). Robustness of Clevenson-Zidek-Type Estimators. Journal of the American Statistical Association. 79(385). 152–157. 16 indexed citations

16.

Tsui, Kam‐Wah. (1984). Robustness of Clevenson-Zidek-Type Estimators. Journal of the American Statistical Association. 79(385). 152–152. 3 indexed citations

17.

Ghosh, Malay, Jiunn Tzon Hwang, & Kam‐Wah Tsui. (1984). Construction of improved estimators in multiparameter estimation for continuous exponential families. Journal of Multivariate Analysis. 14(2). 212–220. 11 indexed citations

18.

Ghosh, Malay, Jiunn Tzon Hwang, & Kam‐Wah Tsui. (1983). Construction of Improved Estimators in Multiparameter Estimation for Discrete Exponential Families. The Annals of Statistics. 11(2). 38 indexed citations

19.

Tsui, Kam‐Wah & S. James Press. (1982). Simultaneous Estimation of Several Poisson Parameters Under $K$-Normalized Squared Error Loss. The Annals of Statistics. 10(1). 39 indexed citations

20.

Tsui, Kam‐Wah. (1981). Simultaneous estimation of several poisson parameters under squared error loss. Annals of the Institute of Statistical Mathematics. 33(2). 215–223. 15 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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