Chong Wu
Impact in
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- Multi-Criteria Decision Making
- Artificial Intelligence top 2%
- Sentiment Analysis and Opinion Mining
Papers in
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- Imbalanced Data Classification Techniques 17
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- Multi-Criteria Decision Making 25
- Co-authors
- Zhiming Zhang (7 shared papers)Pengkun Wu (6 shared papers)Yuanyuan Wu (4 shared papers)Eric W.T. Ngai (4 shared papers)Yongli Li (21 shared papers)Dong Zhang (7 shared papers)Jiaming Liu (12 shared papers)Qi Wang (1 shared paper)
- Journals
- Journal of Forecasting (4 papers)Kybernetes (4 papers)Physics Letters B (4 papers)Journal of Intelligent & Fuzzy Systems (4 papers)Decision Support Systems (3 papers)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Chong Wu
194 papers receiving 2.7k citations
Chong Wu's Hit Papers
Peers
Comparison fields: 5 of 182
- Management Science and Operations Research 761
- Artificial Intelligence 715
- Computational Theory and Mathematics 299
- Marketing 156
- Accounting 194
Countries citing papers authored by Chong Wu
This map shows the geographic impact of Chong 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 Chong Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chong Wu more than expected).
Fields of papers citing papers by Chong Wu
This network shows the impact of papers produced by Chong 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 Chong Wu. The network helps show where Chong Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Chong 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 211 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Fake online reviews: Literature review, synthesis, and directions for future research Hit paper breakdown → | 2020 | 245 |
| 2 | 2014 | 120 | |
| 3 | 2003 | 113 | |
| 4 | 2014 | 102 | |
| 5 | 2014 | 100 | |
| 6 | 2011 | 66 | |
| 7 | 2022 | 64 | |
| 8 | 2014 | 61 | |
| 9 | 2010 | 60 | |
| 10 | 2022 | 57 | |
| 11 | 2017 | 53 | |
| 12 | 2010 | 51 | |
| 13 | 2019 | 49 | |
| 14 | 2017 | 45 | |
| 15 | 2019 | 45 | |
| 16 | 2015 | 42 | |
| 17 | 2022 | 42 | |
| 18 | 2022 | 40 | |
| 19 | 2012 | 38 | |
| 20 | 2017 | 37 |
About Chong Wu
Chong Wu is a scholar working on Artificial Intelligence, Management Science and Operations Research, Accounting, Control and Systems Engineering and Information Systems, having authored 211 papers that have together received 2.8k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (25 papers), Financial Distress and Bankruptcy Prediction (23 papers), Imbalanced Data Classification Techniques (17 papers), Complex Network Analysis Techniques (15 papers), Robotic Path Planning Algorithms (13 papers), Radiation Detection and Scintillator Technologies (11 papers), Fuzzy Systems and Optimization (11 papers) and Opinion Dynamics and Social Influence (10 papers). The work is most often cited by research in Management Science and Operations Research (761 citations), Artificial Intelligence (715 citations), Computational Theory and Mathematics (299 citations), Marketing (156 citations) and Accounting (194 citations). Chong Wu has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Zhiming Zhang, Pengkun Wu, Yuanyuan Wu, Eric W.T. Ngai, Yongli Li, Dong Zhang, Jiaming Liu, Qi Wang, Yang Sun and Rajasekhar Balasubramanian. Their work appears in journals such as Journal of Forecasting, Kybernetes, Physics Letters B, Journal of Intelligent & Fuzzy Systems and Decision Support 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.