Kuo-Ping Lin

87 papers receiving 1.8k citations

Peers

Kuo-Ping Lin
Comparison fields: 5 of 126
  • Management Science and Operations Research 518
  • Tourism, Leisure and Hospitality Management 34
  • Statistics, Probability and Uncertainty 115
  • Statistics and Probability 134
  • Artificial Intelligence 499
Replace Ping‐Feng Pai with:
Ping‐Feng Pai Taiwan
Cliff T. Ragsdale United States
Yu‐Rong Zeng China
Murat Köksalan Türkiye
Esmaeil Hadavandi Iran
Evangelos Spiliotis Greece
Qifa Xu China
Che‐Wei Chang Taiwan
Juan‐juan Peng China
Ping-Teng Chang Taiwan
Kuo-Ping Lin relative to Ping‐Feng Pai Taiwan Ping‐Feng Pai's profile →
Citations per field
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Ping‐Feng Pai · 1×
Citations per year

Countries citing papers authored by Kuo-Ping Lin

Since Specialization
Citations

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

Fields of papers citing papers by Kuo-Ping Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuo-Ping Lin. 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 Kuo-Ping Lin. The network helps show where Kuo-Ping Lin may publish in the future.

Co-authors

The 25 scholars most cited alongside Kuo-Ping Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kuo-Ping Lin Line = papers co-authored together Kuo-Ping Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017176
2 2013123
3 2015108
4 2009106
5 201384
6 201076
7 201175
8 201961
9 201460
10 201952
11 201152
12 201651
13 200645
14 201142
15 201940
16 201838
17 201236
18 200936
19 201034
20 201731

About Kuo-Ping Lin

Kuo-Ping Lin is a scholar working on Management Science and Operations Research, Artificial Intelligence, Electrical and Electronic Engineering, Control and Systems Engineering and Statistics and Probability, having authored 91 papers that have together received 1.9k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (25 papers), Fuzzy Systems and Optimization (17 papers), Fuzzy Logic and Control Systems (10 papers), Stock Market Forecasting Methods (10 papers), Energy Load and Power Forecasting (10 papers), Optimization and Mathematical Programming (8 papers), Sustainable Supply Chain Management (7 papers) and Grey System Theory Applications (6 papers). The work is most often cited by research in Management Science and Operations Research (518 citations), Tourism, Leisure and Hospitality Management (34 citations), Statistics, Probability and Uncertainty (115 citations), Statistics and Probability (134 citations) and Artificial Intelligence (499 citations). Kuo-Ping Lin has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Ping‐Feng Pai, Kuo-Chen Hung, Ping-Teng Chang, Ming‐Lang Tseng, Ching-Hsin Wang, Kuen‐Suan Chen, Yuming Lu, Yatong Zhou, Chun-Min Yu and Chih‐Hung Jen. Their work appears in journals such as Expert Systems with Applications, Sustainability, Applied Soft Computing, Industrial Management & Data Systems and IEEE Transactions on Fuzzy Systems.

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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