Li‐Pang Chen

655 total citations
65 papers, 372 citations indexed

About

Li‐Pang Chen is a scholar working on Statistics and Probability, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Li‐Pang Chen has authored 65 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Statistics and Probability, 13 papers in Artificial Intelligence and 10 papers in Molecular Biology. Recurrent topics in Li‐Pang Chen's work include Statistical Methods and Inference (34 papers), Statistical Methods and Bayesian Inference (20 papers) and Advanced Statistical Methods and Models (12 papers). Li‐Pang Chen is often cited by papers focused on Statistical Methods and Inference (34 papers), Statistical Methods and Bayesian Inference (20 papers) and Advanced Statistical Methods and Models (12 papers). Li‐Pang Chen collaborates with scholars based in Taiwan, Canada and China. Li‐Pang Chen's co-authors include Grace Y. Yi, Wenqing He, Su‐Fen Yang, Grace Y. Yi, Cheng‐Kuan Lin, Dan Liu and Bin Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Li‐Pang Chen

57 papers receiving 364 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Li‐Pang Chen Taiwan 10 161 64 55 23 21 65 372
Shunpu Zhang United States 12 169 1.0× 106 1.7× 133 2.4× 21 0.9× 24 1.1× 45 442
Carlos Daniel Paulino Portugal 11 174 1.1× 95 1.5× 29 0.5× 23 1.0× 21 1.0× 31 360
Minjung Kyung South Korea 5 186 1.2× 112 1.8× 66 1.2× 28 1.2× 26 1.2× 14 391
Xinran Li United States 11 279 1.7× 23 0.4× 22 0.4× 23 1.0× 39 1.9× 39 450
Abhik Ghosh India 13 288 1.8× 48 0.8× 41 0.7× 31 1.3× 38 1.8× 59 547
Ao Yuan United States 10 206 1.3× 89 1.4× 46 0.8× 11 0.5× 38 1.8× 105 355
Luca Greco Italy 9 140 0.9× 67 1.0× 10 0.2× 21 0.9× 13 0.6× 31 277
Gajendra K. Vishwakarma India 14 452 2.8× 78 1.2× 22 0.4× 9 0.4× 37 1.8× 102 634
Wangli Xu China 12 271 1.7× 75 1.2× 9 0.2× 32 1.4× 23 1.1× 69 473

Countries citing papers authored by Li‐Pang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Li‐Pang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Li‐Pang Chen. 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 Li‐Pang Chen. The network helps show where Li‐Pang Chen may publish in the future.

Co-authorship network of co-authors of Li‐Pang Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Li‐Pang Chen. A scholar is included among the top collaborators of Li‐Pang Chen 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 Li‐Pang Chen. Li‐Pang Chen 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.
Chen, Li‐Pang. (2025). Variable selection via penalized ridge regression with error-prone variables. Annals of the Institute of Statistical Mathematics. 78(2). 225–261.
2.
3.
Chen, Li‐Pang, et al.. (2024). SIMEXBoost: An R package for Analysis of High-Dimensional Error-Prone Data Based on Boosting Method. The R Journal. 15(4). 5–20. 2 indexed citations
4.
Chen, Li‐Pang. (2024). The Energy of Data and Distance Correlation. Journal of the Royal Statistical Society Series A (Statistics in Society). 187(3). 851–852. 6 indexed citations
5.
Chen, Li‐Pang. (2024). Accelerated failure time models with error-prone response and nonlinear covariates. Statistics and Computing. 34(6). 1 indexed citations
6.
7.
Chen, Li‐Pang & Cheng‐Kuan Lin. (2024). EATME: An R package for EWMA control charts with adjustments of measurement error. PLoS ONE. 19(10). e0308828–e0308828.
8.
Chen, Li‐Pang. (2023). Variable Selection and Estimation for Misclassified Binary Responses and Multivariate Error-Prone Predictors. Journal of Computational and Graphical Statistics. 33(2). 407–420. 4 indexed citations
9.
Chen, Li‐Pang. (2023). A note of feature screening via a rank‐based coefficient of correlation. Biometrical Journal. 65(6). e2100373–e2100373. 6 indexed citations
10.
Yang, Su‐Fen, et al.. (2023). A New EWMA Control Chart for Monitoring Multinomial Proportions. Sustainability. 15(15). 11797–11797. 2 indexed citations
11.
Yi, Grace Y. & Li‐Pang Chen. (2023). Estimation of the average treatment effect with variable selection and measurement error simultaneously addressed for potential confounders. Statistical Methods in Medical Research. 32(4). 691–711. 6 indexed citations
12.
Chen, Li‐Pang. (2023). De-noising boosting methods for variable selection and estimation subject to error-prone variables. Statistics and Computing. 33(2). 2 indexed citations
13.
Yang, Su‐Fen, Li‐Pang Chen, & Cheng‐Kuan Lin. (2023). Adjustment of Measurement Error Effects on Dispersion Control Chart with Distribution-Free Quality Variable. Sustainability. 15(5). 4337–4337. 3 indexed citations
14.
Chen, Li‐Pang, et al.. (2023). CHEMIST: an R package for causal inference with high-dimensional error-prone covariates and misclassified treatments. Japanese Journal of Statistics and Data Science. 8(1). 349–365. 2 indexed citations
15.
Chen, Li‐Pang. (2022). BOOME: A Python package for handling misclassified disease and ultrahigh-dimensional error-prone gene expression data. PLoS ONE. 17(10). e0276664–e0276664. 2 indexed citations
16.
Chen, Li‐Pang. (2022). Classification and prediction for multi-cancer data with ultrahigh-dimensional gene expressions. PLoS ONE. 17(9). e0274440–e0274440. 3 indexed citations
17.
Chen, Li‐Pang, et al.. (2021). Model-based forecasting for Canadian COVID-19 data. PLoS ONE. 16(1). e0244536–e0244536. 17 indexed citations
18.
Chen, Li‐Pang & Grace Y. Yi. (2020). Analysis of noisy survival data with graphical proportional hazards measurement error models. Biometrics. 77(3). 956–969. 26 indexed citations
19.
He, Wenqing, Grace Y. Yi, & Li‐Pang Chen. (2019). Support Vector Machine with Graphical Network Structures in Features. 557–570. 3 indexed citations
20.

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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