Chi-Lun Cheng

881 total citations
20 papers, 596 citations indexed

About

Chi-Lun Cheng is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Applied Mathematics. According to data from OpenAlex, Chi-Lun Cheng has authored 20 papers receiving a total of 596 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Statistics and Probability, 6 papers in Statistics, Probability and Uncertainty and 4 papers in Applied Mathematics. Recurrent topics in Chi-Lun Cheng's work include Advanced Statistical Methods and Models (13 papers), Statistical Methods and Inference (7 papers) and Statistical Methods and Bayesian Inference (6 papers). Chi-Lun Cheng is often cited by papers focused on Advanced Statistical Methods and Models (13 papers), Statistical Methods and Inference (7 papers) and Statistical Methods and Bayesian Inference (6 papers). Chi-Lun Cheng collaborates with scholars based in Taiwan, United States and India. Chi-Lun Cheng's co-authors include John W. Van Ness, Sudhir Gupta, Shalabh, Jordi Riu, Alexander Kukush, Hans Schneeweiß, Sabine Van Huffel, Nicola Mastronardi, Chris Paige and Chih‐Ling Tsai and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Biometrika.

In The Last Decade

Chi-Lun Cheng

18 papers receiving 568 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chi-Lun Cheng Taiwan 9 331 78 72 71 59 20 596
Sudhir Gupta United States 9 412 1.2× 51 0.7× 72 1.0× 81 1.1× 42 0.7× 40 706
Ted Chang United States 13 265 0.8× 55 0.7× 145 2.0× 47 0.7× 92 1.6× 32 673
Matías Salibián‐Barrera Canada 17 513 1.5× 39 0.5× 94 1.3× 261 3.7× 19 0.3× 36 810
Anne Ruiz‐Gazen France 12 277 0.8× 21 0.3× 143 2.0× 92 1.3× 28 0.5× 47 556
Connor J. Dalzell Canada 4 290 0.9× 45 0.6× 125 1.7× 28 0.4× 33 0.6× 5 629
Célestin C. Kokonendji France 17 672 2.0× 62 0.8× 440 6.1× 85 1.2× 29 0.5× 86 1.0k
Venkata K. Jandhyala United States 14 237 0.7× 44 0.6× 49 0.7× 83 1.2× 16 0.3× 51 848
Ibrahim M. Almanjahie Saudi Arabia 15 363 1.1× 14 0.2× 92 1.3× 111 1.6× 30 0.5× 103 690
Gentiane Haesbroeck Belgium 11 397 1.2× 17 0.2× 93 1.3× 239 3.4× 14 0.2× 26 576
Dale Borowiak United States 3 101 0.3× 21 0.3× 35 0.5× 33 0.5× 24 0.4× 6 332

Countries citing papers authored by Chi-Lun Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Chi-Lun Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chi-Lun Cheng. 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 Chi-Lun Cheng. The network helps show where Chi-Lun Cheng may publish in the future.

Co-authorship network of co-authors of Chi-Lun Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Chi-Lun Cheng. A scholar is included among the top collaborators of Chi-Lun Cheng 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 Chi-Lun Cheng. Chi-Lun Cheng 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.
Cheng, Chi-Lun, Shalabh, & Anoop Chaturvedi. (2020). Goodness of fit for generalized shrinkage estimation. Theory of Probability and Mathematical Statistics. 100. 191–214. 1 indexed citations
2.
Cheng, Chi-Lun, et al.. (2018). Polynomial regression with heteroscedastic measurement errors in both axes: Estimation and hypothesis testing. Statistical Methods in Medical Research. 28(9). 2681–2696. 6 indexed citations
3.
Cheng, Chi-Lun, et al.. (2015). Goodness of fit in restricted measurement error models. Journal of Multivariate Analysis. 145. 101–116. 7 indexed citations
4.
Cheng, Chi-Lun, et al.. (2015). On interval estimation in linear relationships with heteroscedastic measurement errors in both axes. Chemometrics and Intelligent Laboratory Systems. 142. 276–284. 3 indexed citations
5.
Cheng, Chi-Lun, et al.. (2014). Coefficient of determination for multiple measurement error models. Journal of Multivariate Analysis. 126. 137–152. 108 indexed citations
6.
Huffel, Sabine Van, Chi-Lun Cheng, Nicola Mastronardi, Chris Paige, & Alexander Kukush. (2007). Total Least Squares and Errors-in-variables Modeling. Computational Statistics & Data Analysis. 52(2). 1076–1079. 41 indexed citations
7.
Cheng, Chi-Lun & Jordi Riu. (2006). On Estimating Linear Relationships When Both Variables Are Subject to Heteroscedastic Measurement Errors. Technometrics. 48(4). 511–519. 56 indexed citations
8.
Cheng, Chi-Lun & Alexander Kukush. (2006). Non-Existence of the First Moment of the Adjusted Least Squares Estimator in Multivariate Errors-in-Variables Model. Metrika. 64(1). 41–46. 18 indexed citations
9.
Schneeweiß, Hans & Chi-Lun Cheng. (2005). Bias of the structural quasi-score estimator of a measurement error model under misspecification of the regressor distribution. Journal of Multivariate Analysis. 97(2). 455–473. 6 indexed citations
10.
Cheng, Chi-Lun & Chih‐Ling Tsai. (2004). The Invariance of Some Score Tests in the Linear Model With Classical Measurement Error. Journal of the American Statistical Association. 99(467). 805–809. 8 indexed citations
11.
Gupta, Sudhir, Chi-Lun Cheng, & John W. Van Ness. (2000). Statistical Regression with Measurement Error. Technometrics. 42(4). 427–427. 210 indexed citations
12.
Cheng, Chi-Lun, et al.. (2000). A Small Sample Estimator for a Polynomial Regression with Errors in the Variables. Journal of the Royal Statistical Society Series B (Statistical Methodology). 62(4). 699–709. 26 indexed citations
13.
Cheng, Chi-Lun & John W. Van Ness. (1997). Robust Calibration. Technometrics. 39(4). 401–411. 6 indexed citations
14.
Cheng, Chi-Lun & John W. Van Ness. (1997). Robust Calibration. Technometrics. 39(4). 401–401. 8 indexed citations
15.
Cheng, Chi-Lun & John W. Van Ness. (1994). On Estimating Linear Relationships When Both Variables are Subject to Errors. Journal of the Royal Statistical Society Series B (Statistical Methodology). 56(1). 167–183. 48 indexed citations
16.
Cheng, Chi-Lun. (1994). On Estimating Linear Relationships when Both Variables are Subject. 1 indexed citations
17.
Cheng, Chi-Lun. (1992). Robust linear regression via bounded influence M-estimators. Journal of Multivariate Analysis. 40(1). 158–171. 1 indexed citations
18.
Cheng, Chi-Lun & John W. Van Ness. (1992). Generalized $M$-Estimators for Errors-in-Variables Regression. The Annals of Statistics. 20(1). 20 indexed citations
19.
Cheng, Chi-Lun & John W. Van Ness. (1991). On the unreplicated ultrastructural model. Biometrika. 78(2). 442–445. 22 indexed citations
20.
Cheng, Chi-Lun & John W. Van Ness. (1991). On the Unreplicated Ultrastructural Model. Biometrika. 78(2). 442–442.

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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