Kuei‐Yuan Chan

40 papers receiving 343 citations

Peers

Kuei‐Yuan Chan
Comparison fields: 5 of 68
  • Statistics, Probability and Uncertainty 126
  • Computational Theory and Mathematics 104
  • Mechanical Engineering 101
  • Control and Systems Engineering 71
  • Management Science and Operations Research 59
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Xiaoguang Chen China
Stojan Kravanja Slovenia
Kristo Mela Finland
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Ali Payıdar Akgüngör Türkiye
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Kuei‐Yuan Chan relative to Xiaoguang Chen China Xiaoguang Chen's profile →
Citations per field
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Xiaoguang Chen · 1×
Citations per year

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).

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.

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

This figure shows the co-authorship network connecting the top 25 collaborators of Kuei‐Yuan Chan. A scholar is included among the top collaborators of Kuei‐Yuan Chan 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 Kuei‐Yuan Chan. Kuei‐Yuan Chan 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
#WorkIndexed citations
1 0
2 1
3 71
4 3
5 7
6 16
7 1
8 9
9 3
10 4
11 7
12 1
13 4
14
Monotonicity, activity and sequential linearization in probabilistic design optimization.
1
15 34
16
Modeling of Sinusoidal Excitation Based on Polynomial Regression for Micro-positioning for Grinding Process Control
0
17 13
18 41
19
Controversies in orthopedic sports medicine
14
20
Sports and children : consensus statement on organised sports for children
2

About Kuei‐Yuan Chan

Kuei‐Yuan Chan is a scholar working on Statistics, Probability and Uncertainty, Computational Theory and Mathematics and Management Science and Operations Research, having authored 44 papers that have together received 359 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (16 papers), Probabilistic and Robust Engineering Design (16 papers) and Optimal Experimental Design Methods (10 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (126 citations), Computational Theory and Mathematics (104 citations) and Management Science and Operations Research (59 citations). Kuei‐Yuan Chan has collaborated with scholars based in Taiwan, United States and Germany. Frequent co-authors include Panos Y. Papalambros, Steven J. Skerlos, Jyh‐Jone Lee, Yen‐Chih Huang, William R. Morrow, Pei‐Chun Lin, B. Başdere, Fu Zhao, Günther Seliger and Michael Kokkolaras. Their work appears in journals such as Energy, Sensors and SAE technical papers on CD-ROM/SAE technical paper series.

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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