Kun‐Lin Hsieh

60 total papers · 592 total citations
41 papers, 477 citations indexed

About

Kun‐Lin Hsieh is a scholar working on Industrial and Manufacturing Engineering, Management Science and Operations Research and Statistics, Probability and Uncertainty. According to data from OpenAlex, Kun‐Lin Hsieh has authored 41 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Industrial and Manufacturing Engineering, 13 papers in Management Science and Operations Research and 11 papers in Statistics, Probability and Uncertainty. Recurrent topics in Kun‐Lin Hsieh's work include Advanced Statistical Process Monitoring (10 papers), Optimal Experimental Design Methods (10 papers) and Industrial Vision Systems and Defect Detection (8 papers). Kun‐Lin Hsieh is often cited by papers focused on Advanced Statistical Process Monitoring (10 papers), Optimal Experimental Design Methods (10 papers) and Industrial Vision Systems and Defect Detection (8 papers). Kun‐Lin Hsieh collaborates with scholars based in Taiwan and China. Kun‐Lin Hsieh's co-authors include Yan‐Kwang Chen, Lee‐Ing Tong, Chao‐Ton Su, Yen-Sheng Lu, Chun‐Nan Lin, W.-T. Chen, Ching-Cheng Shen, I‐Ching Yang, Jinsheng Roan and Ching‐Yu Wang and has published in prestigious journals such as European Journal of Operational Research, Expert Systems with Applications and International Journal of Production Economics.

In The Last Decade

Kun‐Lin Hsieh

39 papers receiving 441 citations

Author Peers

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

Author Last Decade Papers Cites
Kun‐Lin Hsieh 179 135 133 87 60 41 477
Zhanwen Niu 84 0.5× 70 0.5× 121 0.9× 58 0.7× 29 0.5× 47 441
Luis Alberto Rodríguez‐Picón 160 0.9× 56 0.4× 98 0.7× 169 1.9× 33 0.6× 47 466
Robert G. Batson 69 0.4× 79 0.6× 101 0.8× 27 0.3× 30 0.5× 44 478
H. H. Chang 78 0.4× 88 0.7× 121 0.9× 19 0.2× 68 1.1× 32 467
George J. Besseris 113 0.6× 61 0.5× 139 1.0× 70 0.8× 25 0.4× 64 520
Laxminarayan Sahoo 109 0.6× 48 0.4× 181 1.4× 102 1.2× 78 1.3× 36 548
Elart von Collani 336 1.9× 121 0.9× 104 0.8× 121 1.4× 12 0.2× 57 536
Belmiro P.M. Duarte 89 0.5× 39 0.3× 185 1.4× 56 0.6× 119 2.0× 59 518
Luis Asunción Pérez-Domínguez 38 0.2× 52 0.4× 236 1.8× 48 0.6× 60 1.0× 49 484
Marzieh Khakifirooz 84 0.5× 188 1.4× 67 0.5× 28 0.3× 10 0.2× 29 450

Countries citing papers authored by Kun‐Lin Hsieh

Since Specialization
Citations

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

Fields of papers citing papers by Kun‐Lin Hsieh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kun‐Lin Hsieh. 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 Kun‐Lin Hsieh. The network helps show where Kun‐Lin Hsieh may publish in the future.

Co-authorship network of co-authors of Kun‐Lin Hsieh

This figure shows the co-authorship network connecting the top 25 collaborators of Kun‐Lin Hsieh. A scholar is included among the top collaborators of Kun‐Lin Hsieh 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 Kun‐Lin Hsieh. Kun‐Lin Hsieh 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