Wei Dai
Impact in
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- Stock Market Forecasting Methods
- Grey System Theory Applications
- Forecasting Techniques and Applications
- Economics and Econometrics top 5%
- Market Dynamics and Volatility
Papers in
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- Complex Systems and Time Series Analysis 7
- Market Dynamics and Volatility 7
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- Supply Chain and Inventory Management 6
- Co-authors
- Lean Yu (5 shared papers)Ling Tang (5 shared papers)Shouyang Wang (1 shared paper)Chenchen Yang (1 shared paper)Hsing Luh (1 shared paper)Zhaofu Hong (1 shared paper)Jiaqian Wu (1 shared paper)Jichang Dong (2 shared papers)
- Journals
- Corrosion Science (2 papers)International Journal of Information Technology & Decision Making (2 papers)Applied Energy (2 papers)Information and Software Technology (1 paper)Engineering Applications of Artificial Intelligence (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Wei Dai
61 papers receiving 899 citations
Peers
Comparison fields: 5 of 103
- Management Science and Operations Research 258
- Economics and Econometrics 287
- Management Information Systems 87
- Strategy and Management 117
- Analytical Chemistry 50
Countries citing papers authored by Wei Dai
This map shows the geographic impact of Wei Dai'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 Wei Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Dai more than expected).
Fields of papers citing papers by Wei Dai
This network shows the impact of papers produced by Wei Dai. 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 Wei Dai. The network helps show where Wei Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Dai, 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 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 183 | |
| 2 | 2014 | 116 | |
| 3 | 2019 | 84 | |
| 4 | 2017 | 68 | |
| 5 | 2015 | 53 | |
| 6 | 2019 | 39 | |
| 7 | 2015 | 34 | |
| 8 | 2013 | 22 | |
| 9 | 2015 | 21 | |
| 10 | 2023 | 21 | |
| 11 | 2015 | 20 | |
| 12 | 2012 | 20 | |
| 13 | 2010 | 19 | |
| 14 | 2022 | 19 | |
| 15 | 2022 | 19 | |
| 16 | 2024 | 13 | |
| 17 | 2023 | 13 | |
| 18 | 2022 | 12 | |
| 19 | 2020 | 11 | |
| 20 | 2021 | 10 |
About Wei Dai
Wei Dai is a scholar working on Economics and Econometrics, Management Information Systems, Electrical and Electronic Engineering, Management Science and Operations Research and Computer Vision and Pattern Recognition, having authored 79 papers that have together received 928 indexed citations. Recurring topics across this work include Stock Market Forecasting Methods (10 papers), Complex Systems and Time Series Analysis (7 papers), Market Dynamics and Volatility (7 papers), Image and Video Quality Assessment (6 papers), Image and Signal Denoising Methods (6 papers), Financial Markets and Investment Strategies (6 papers), Advanced Image Processing Techniques (6 papers) and Supply Chain and Inventory Management (6 papers). The work is most often cited by research in Management Science and Operations Research (258 citations), Economics and Econometrics (287 citations), Management Information Systems (87 citations), Strategy and Management (117 citations) and Analytical Chemistry (50 citations). Wei Dai has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Lean Yu, Ling Tang, Shouyang Wang, Chenchen Yang, Hsing Luh, Zhaofu Hong, Jiaqian Wu, Jichang Dong, Deyu Zhang and Jiagang Liu. Their work appears in journals such as Corrosion Science, International Journal of Information Technology & Decision Making, Applied Energy, Information and Software Technology and Engineering Applications of Artificial Intelligence.
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.