Kuei‐Yuan Chan

33 papers and 264 indexed citations i.

About

Kuei‐Yuan Chan is a scholar working on Computational Theory and Mathematics, Statistics, Probability and Uncertainty and Control and Systems Engineering. According to data from OpenAlex, Kuei‐Yuan Chan has authored 33 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computational Theory and Mathematics, 12 papers in Statistics, Probability and Uncertainty and 11 papers in Control and Systems Engineering. Recurrent topics in Kuei‐Yuan Chan’s work include Probabilistic and Robust Engineering Design (12 papers), Advanced Multi-Objective Optimization Algorithms (12 papers) and Optimal Experimental Design Methods (7 papers). Kuei‐Yuan Chan is often cited by papers focused on Probabilistic and Robust Engineering Design (12 papers), Advanced Multi-Objective Optimization Algorithms (12 papers) and Optimal Experimental Design Methods (7 papers). Kuei‐Yuan Chan collaborates with scholars based in Taiwan and United States. Kuei‐Yuan Chan's co-authors include Jyh‐Jone Lee, Panos Y. Papalambros, Steven J. Skerlos, Yen‐Chih Huang, Pei‐Chun Lin, Michael Kokkolaras, Ting-Jung Wu, Lyle J. Micheli, Colin A. Sharp and Kamalesh Chakravarty and has published in prestigious journals such as Energy, Sensors and SAE technical papers on CD-ROM/SAE technical paper series.

In The Last Decade

Co-authorship network of co-authors of Kuei‐Yuan Chan i

Fields of papers citing papers by Kuei‐Yuan Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuei‐Yuan Chan. 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 Kuei‐Yuan Chan. The network helps show where Kuei‐Yuan Chan may publish in the future.

Countries citing papers authored by Kuei‐Yuan Chan

Since Specialization
Citations

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

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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2025