Chih‐Hung Wu
Impact in
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- Multi-Criteria Decision Making
- Stock Market Forecasting Methods
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- Quality and Supply Management
Papers in
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- AI-based Problem Solving and Planning 7
- Co-authors
- Betty Chang (2 shared papers)Gwo‐Hshiung Tzeng (4 shared papers)Wenchang Fang (3 shared papers)Yeong-Jia Goo (2 shared papers)Yueh‐Min Huang (5 shared papers)Bor‐Sen Chen (4 shared papers)Chung-Hong Lee (7 shared papers)Chih‐Hsing Liu (6 shared papers)
In The Last Decade
Chih‐Hung Wu
88 papers receiving 2.5k citations
Chih‐Hung Wu's Hit Papers
Peers
Comparison fields: 5 of 170
- Management Science and Operations Research 614
- Management Information Systems 215
- Strategy and Management 334
- Computer Science Applications 109
- Artificial Intelligence 566
Countries citing papers authored by Chih‐Hung Wu
This map shows the geographic impact of Chih‐Hung Wu'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 Chih‐Hung Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chih‐Hung Wu more than expected).
Fields of papers citing papers by Chih‐Hung Wu
This network shows the impact of papers produced by Chih‐Hung Wu. 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 Chih‐Hung Wu. The network helps show where Chih‐Hung Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Chih‐Hung Wu, 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 97 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Fuzzy DEMATEL method for developing supplier selection criteria Hit paper breakdown → | 2010 | 595 |
| 2 | 2006 | 286 | |
| 3 | 2008 | 229 | |
| 4 | 2018 | 110 | |
| 5 | 2015 | 94 | |
| 6 | 2022 | 84 | |
| 7 | 2015 | 69 | |
| 8 | 2007 | 62 | |
| 9 | 2014 | 62 | |
| 10 | 2009 | 61 | |
| 11 | 2014 | 60 | |
| 12 | 2010 | 57 | |
| 13 | 2009 | 49 | |
| 14 | 2015 | 40 | |
| 15 | 2023 | 38 | |
| 16 | 2005 | 32 | |
| 17 | 2011 | 32 | |
| 18 | 2022 | 32 | |
| 19 | 2010 | 30 | |
| 20 | 2006 | 29 |
About Chih‐Hung Wu
Chih‐Hung Wu is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Management Science and Operations Research, having authored 97 papers that have together received 2.6k indexed citations. Recurring topics across this work include Digital Marketing and Social Media (7 papers), AI-based Problem Solving and Planning (7 papers), Technology Adoption and User Behaviour (6 papers), Formal Methods in Verification (5 papers), Learning Styles and Cognitive Differences (5 papers), Electric Vehicles and Infrastructure (5 papers), Online Learning and Analytics (5 papers) and Advanced Battery Technologies Research (5 papers). The work is most often cited by research in Management Science and Operations Research (614 citations), Management Information Systems (215 citations), Strategy and Management (334 citations), Computer Science Applications (109 citations) and Artificial Intelligence (566 citations). Chih‐Hung Wu has collaborated with scholars based in Taiwan, Macao and China. Frequent co-authors include Betty Chang, Gwo‐Hshiung Tzeng, Wenchang Fang, Yeong-Jia Goo, Yueh‐Min Huang, Bor‐Sen Chen, Chung-Hong Lee, Chih‐Hsing Liu, Tao Huang and Hao-Chiang Koong Lin. Their work appears in journals such as Expert Systems with Applications, Sustainability, Applied Soft Computing, Quality & Quantity and Journal of Automated Reasoning.
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.