Ker-Chau Li

7.9k total citations · 2 hit papers
74 papers, 4.9k citations indexed

About

Ker-Chau Li is a scholar working on Molecular Biology, Statistics and Probability and Artificial Intelligence. According to data from OpenAlex, Ker-Chau Li has authored 74 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 23 papers in Statistics and Probability and 10 papers in Artificial Intelligence. Recurrent topics in Ker-Chau Li's work include Statistical Methods and Inference (18 papers), Advanced Statistical Methods and Models (13 papers) and Gene expression and cancer classification (10 papers). Ker-Chau Li is often cited by papers focused on Statistical Methods and Inference (18 papers), Advanced Statistical Methods and Models (13 papers) and Gene expression and cancer classification (10 papers). Ker-Chau Li collaborates with scholars based in United States, Taiwan and Malaysia. Ker-Chau Li's co-authors include Naihua Duan, Peter Hall, Chun‐Houh Chen, Pan‐Chyr Yang, Gee‐Chen Chang, Sung‐Liang Yu, Bing‐Ching Ho, Jin‐Yuan Shih, Hsuan‐Yu Chen and James Chih‐Hsin Yang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Clinical Oncology.

In The Last Decade

Ker-Chau Li

73 papers receiving 4.6k citations

Hit Papers

Sliced Inverse Regression for Dimension Reduction 1991 2026 2002 2014 1991 2012 400 800 1.2k

Peers

Ker-Chau Li
Comparison fields: 5 of 172
  • Statistics and Probability 2.7k
  • Artificial Intelligence 991
  • Molecular Biology 852
  • Management Science and Operations Research 463
  • Computer Vision and Pattern Recognition 458
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Citations per field, relative to Ker-Chau Li
Ker-Chau Li · 1×
Citations per year, relative to Ker-Chau Li
Ker-Chau Li · 1×

Countries citing papers authored by Ker-Chau Li

Since Specialization
Citations

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

Fields of papers citing papers by Ker-Chau Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ker-Chau Li. 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 Ker-Chau Li. The network helps show where Ker-Chau Li may publish in the future.

Co-authorship network of co-authors of Ker-Chau Li

This figure shows the co-authorship network connecting the top 25 collaborators of Ker-Chau Li. A scholar is included among the top collaborators of Ker-Chau Li 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 Ker-Chau Li. Ker-Chau Li 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
# Work Indexed citations
1 1
2 1
3 3
4 14
5 26
6 35
7
Pretreatment Epidermal Growth Factor Receptor ( EGFR ) T790M Mutation Predicts Shorter EGFR Tyrosine Kinase Inhibitor Response Duration in Patients With Non–Small-Cell Lung Cancer breakdown →
429
8 18
9 16
10 10
11 25
12
MicroRNA signature predicts survival and relapse in lung cancer
1
13 4
14
Salivary oral cancer transcriptome biomarkers (SOCTB) for clinical detection
2
15
A simple statistical model for depicting the cdc-15 synchronized yeast cell cycle-regulated gene expression data
16
16 36
17 37
18 408
19
A Bias Bound for Applying Linear Regression to a General Linear Model
1
20 7

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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