Kun‐Lin Hsieh

39 papers receiving 441 citations

Peers

Kun‐Lin Hsieh
Comparison fields: 5 of 90
  • Statistics, Probability and Uncertainty 179
  • Industrial and Manufacturing Engineering 135
  • Management Science and Operations Research 133
  • Statistics and Probability 87
  • Computational Theory and Mathematics 60
Replace Özlem Şenvar with:
Özlem Şenvar Türkiye
Yan‐Kwang Chen Taiwan
Murat Gülbay Türkiye
Jen Tang United States
Hamid Shahriari Iran
Shuo Huang China
Naoto Kaio Japan
H. H. Chang Taiwan
Chia‐Huang Wu Taiwan
Chunghun Ha South Korea
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Citations per field
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Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 9
2 1
3 1
4 0
5 0
6 5
7 6
8 1
9 7
10
Applying fuzzy set approach into achieving quality improvement for qualitative quality response
3
11
Applying neural networks approach to achieve the parameter optimization for censored data
1
12 9
13
The study of fuzzy performance evaluation
1
14
A knowledge-based genetic algorithm for the job shop scheduling problem
1
15
Achieving process analysis in TFT-LCD manufacturing industry by using statistical technique
1
16
Process parameter optimization via data mining technique
1
17 2
18 24
19 39
20 11

About Kun‐Lin Hsieh

Kun‐Lin Hsieh is a scholar working on Nuclear Energy and Engineering, Statistics, Probability and Uncertainty and Industrial and Manufacturing Engineering, having authored 41 papers that have together received 477 indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (10 papers), Optimal Experimental Design Methods (10 papers) and Industrial Vision Systems and Defect Detection (8 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (179 citations), Industrial and Manufacturing Engineering (135 citations) and Management Science and Operations Research (133 citations). Kun‐Lin Hsieh has collaborated with scholars based in Taiwan and China. Frequent co-authors include Yan‐Kwang Chen, Lee‐Ing Tong, Chao‐Ton Su, Yen-Sheng Lu, W.-T. Chen, Chun‐Nan Lin, Ching-Cheng Shen, I‐Ching Yang, Jinsheng Roan and Ching‐Yu Wang. Their work appears in journals such as European Journal of Operational Research, Expert Systems with Applications and International Journal of Production Economics.

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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