Kao-Yi Shen
Impact in
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- Multi-Criteria Decision Making
- Stock Market Forecasting Methods
- Forecasting Techniques and Applications
- Strategy and Management top 10%
- Sustainable Supply Chain Management
Papers in
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- Stock Market Forecasting Methods 13
- Multi-Criteria Decision Making 12
- Forecasting Techniques and Applications 7
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- Rough Sets and Fuzzy Logic 16
- Co-authors
- Gwo‐Hshiung Tzeng (19 shared papers)Min-Ren Yan (5 shared papers)Shu-Kung Hu (1 shared paper)Edmundas Kazimieras Zavadskas (1 shared paper)Joseph C. P. Shieh (2 shared papers)Chiung‐Ju Liang (1 shared paper)Tom M.Y. Lin (1 shared paper)Yalan Wang (1 shared paper)
In The Last Decade
Kao-Yi Shen
32 papers receiving 659 citations
Peers
Comparison fields: 5 of 92
- Management Science and Operations Research 345
- Strategy and Management 124
- Computational Theory and Mathematics 110
- Management Information Systems 60
- Accounting 66
Countries citing papers authored by Kao-Yi Shen
This map shows the geographic impact of Kao-Yi Shen'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 Kao-Yi Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kao-Yi Shen more than expected).
Fields of papers citing papers by Kao-Yi Shen
This network shows the impact of papers produced by Kao-Yi Shen. 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 Kao-Yi Shen. The network helps show where Kao-Yi Shen may publish in the future.
Co-authors
The 17 scholars most cited alongside Kao-Yi Shen, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 124 | |
| 2 | 2013 | 86 | |
| 3 | 2016 | 68 | |
| 4 | 2014 | 47 | |
| 5 | 2015 | 42 | |
| 6 | 2018 | 40 | |
| 7 | 2015 | 26 | |
| 8 | 2018 | 26 | |
| 9 | 2017 | 23 | |
| 10 | DRSA-Based Neuro-Fuzzy Inference Systems for the Financial Performance Prediction of Commercial Banks | 2014 | 22 |
| 11 | 2015 | 20 | |
| 12 | 2021 | 15 | |
| 13 | 2016 | 14 | |
| 14 | 2019 | 13 | |
| 15 | 2021 | 13 | |
| 16 | 2015 | 13 | |
| 17 | 2020 | 12 | |
| 18 | 2022 | 11 | |
| 19 | 2018 | 11 | |
| 20 | 2021 | 9 |
About Kao-Yi Shen
Kao-Yi Shen is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics, Accounting, Information Systems and Finance, having authored 33 papers that have together received 676 indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (16 papers), Stock Market Forecasting Methods (13 papers), Multi-Criteria Decision Making (12 papers), Forecasting Techniques and Applications (7 papers), Financial Markets and Investment Strategies (4 papers), Financial Distress and Bankruptcy Prediction (4 papers), Auditing, Earnings Management, Governance (4 papers) and Data Mining Algorithms and Applications (3 papers). The work is most often cited by research in Management Science and Operations Research (345 citations), Strategy and Management (124 citations), Computational Theory and Mathematics (110 citations), Management Information Systems (60 citations) and Accounting (66 citations). Kao-Yi Shen has collaborated with scholars based in Taiwan, China and Japan. Frequent co-authors include Gwo‐Hshiung Tzeng, Min-Ren Yan, Shu-Kung Hu, Edmundas Kazimieras Zavadskas, Joseph C. P. Shieh, Chiung‐Ju Liang, Tom M.Y. Lin, Yalan Wang, Pin Luarn and Huai-Wei Lo. Their work appears in journals such as Sustainability, International Journal of Fuzzy Systems, Knowledge-Based Systems, Applied Soft Computing and International Journal of Environmental Research and Public Health.
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.