Kuo-Ping Lin
Impact in
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- Multi-Criteria Decision Making
- Forecasting Techniques and Applications
- Stock Market Forecasting Methods
- Artificial Intelligence top 5%
- Advanced Clustering Algorithms Research
- Solar Radiation and Photovoltaics
Papers in
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- Multi-Criteria Decision Making 18
- Forecasting Techniques and Applications 8
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- Fuzzy Systems and Optimization 9
- Co-authors
- Ping‐Feng Pai (24 shared papers)Kuo-Chen Hung (25 shared papers)Ping-Teng Chang (13 shared papers)Ming‐Lang Tseng (1 shared paper)Ching-Hsin Wang (8 shared papers)Kuen‐Suan Chen (5 shared papers)Yuming Lu (6 shared papers)Yatong Zhou (5 shared papers)
In The Last Decade
Kuo-Ping Lin
89 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 108
- Management Science and Operations Research 505
- Artificial Intelligence 366
- Statistics, Probability and Uncertainty 84
- Industrial and Manufacturing Engineering 77
- Management Information Systems 87
Countries citing papers authored by Kuo-Ping Lin
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
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.
All Works
Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 180 | |
| 2 | 2013 | 125 | |
| 3 | 2015 | 111 | |
| 4 | 2009 | 107 | |
| 5 | 2013 | 84 | |
| 6 | 2010 | 77 | |
| 7 | 2011 | 75 | |
| 8 | 2019 | 65 | |
| 9 | 2014 | 61 | |
| 10 | 2019 | 54 | |
| 11 | 2011 | 51 | |
| 12 | 2016 | 51 | |
| 13 | 2006 | 45 | |
| 14 | 2011 | 43 | |
| 15 | 2019 | 42 | |
| 16 | 2018 | 40 | |
| 17 | 2012 | 37 | |
| 18 | 2009 | 36 | |
| 19 | 2010 | 34 | |
| 20 | 2017 | 32 |
About Kuo-Ping Lin
Kuo-Ping Lin is a scholar working on Management Science and Operations Research, Statistics and Probability, Industrial and Manufacturing Engineering, Artificial Intelligence and Control and Systems Engineering, having authored 92 papers that have together received 1.9k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (18 papers), Fuzzy Systems and Optimization (9 papers), Forecasting Techniques and Applications (8 papers), Energy Load and Power Forecasting (6 papers), Fuzzy Logic and Control Systems (4 papers), Data Mining and Machine Learning Applications (4 papers), Reliability and Maintenance Optimization (4 papers) and Advanced Clustering Algorithms Research (4 papers). The work is most often cited by research in Management Science and Operations Research (505 citations), Artificial Intelligence (366 citations), Statistics, Probability and Uncertainty (84 citations), Industrial and Manufacturing Engineering (77 citations) and Management Information Systems (87 citations). Kuo-Ping Lin has collaborated with scholars based in Taiwan, China and Vietnam. 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.