W. K. Chiu

34 total papers · 879 total citations
31 papers, 700 citations indexed

About

W. K. Chiu is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and Management Science and Operations Research. According to data from OpenAlex, W. K. Chiu has authored 31 papers receiving a total of 700 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Statistics, Probability and Uncertainty, 8 papers in Statistics and Probability and 5 papers in Management Science and Operations Research. Recurrent topics in W. K. Chiu's work include Advanced Statistical Process Monitoring (20 papers), Scientific Measurement and Uncertainty Evaluation (11 papers) and Advanced Statistical Methods and Models (7 papers). W. K. Chiu is often cited by papers focused on Advanced Statistical Process Monitoring (20 papers), Scientific Measurement and Uncertainty Evaluation (11 papers) and Advanced Statistical Methods and Models (7 papers). W. K. Chiu collaborates with scholars based in Hong Kong, United Kingdom and Taiwan. W. K. Chiu's co-authors include G. Barrie Wetherill, Shey‐Huei Sheu, Shin‐Li Lu, Kin Che Lam, Jyh‐Ching Chou, Daming Lin, Mei-Chen Liao, Hong‐Tai Chang, Shue–Ren Wann and Yun-Te Chang and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Management Science.

In The Last Decade

W. K. Chiu

31 papers receiving 632 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
W. K. Chiu 598 185 159 144 135 31 700
Lonnie C. Vance 740 1.2× 266 1.4× 189 1.2× 230 1.6× 127 0.9× 10 822
Chao‐Yu Chou 694 1.2× 326 1.8× 144 0.9× 221 1.5× 137 1.0× 83 857
Joel A. Nachlas 613 1.0× 277 1.5× 77 0.5× 94 0.7× 68 0.5× 42 837
George Nenes 511 0.9× 184 1.0× 141 0.9× 160 1.1× 233 1.7× 32 845
Wei Lin Teoh 681 1.1× 265 1.4× 94 0.6× 178 1.2× 43 0.3× 71 722
Alireza Faraz 751 1.3× 418 2.3× 59 0.4× 210 1.5× 35 0.3× 44 781
Kerstin Vännman 715 1.2× 378 2.0× 152 1.0× 318 2.2× 55 0.4× 45 805
Petros E. Maravelakis 743 1.2× 406 2.2× 55 0.3× 119 0.8× 39 0.3× 40 864
Bahram Sadeghpour Gildeh 472 0.8× 395 2.1× 110 0.7× 303 2.1× 44 0.3× 96 700
Ming Ha Lee 792 1.3× 330 1.8× 85 0.5× 182 1.3× 39 0.3× 79 836

Countries citing papers authored by W. K. Chiu

Since Specialization
Citations

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

Fields of papers citing papers by W. K. Chiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W. K. Chiu. 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 W. K. Chiu. The network helps show where W. K. Chiu may publish in the future.

Co-authorship network of co-authors of W. K. Chiu

This figure shows the co-authorship network connecting the top 25 collaborators of W. K. Chiu. A scholar is included among the top collaborators of W. K. Chiu 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 W. K. Chiu. W. K. Chiu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026