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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- Supply Chain and Inventory Management 6
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- Stock Market Forecasting Methods 10
- Journals
- Applied Energy (2 papers)Corrosion Science (2 papers)International Journal of Information Technology & Decision Making (2 papers)Frontiers in Bioengineering and Biotechnology (1 paper)International Journal of Environmental Research and Public Health (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Wei Dai
61 papers receiving 873 citations
Peers
Comparison fields: 5 of 103
- Management Science and Operations Research 258
- Economics and Econometrics 283
- 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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 11 | |
| 7 | 2024 | 0 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 12 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 20 | |
| 12 | 2023 | 0 | |
| 13 | 2023 | 2 | |
| 14 | 2022 | 1 | |
| 15 | 2022 | 1 | |
| 16 | 2021 | 1 | |
| 17 | 2019 | 83 | |
| 18 | Profiling Essential Professional Skills of Chief Data Officers Through Topical Modeling Algorithms | 2017 | 2 |
| 19 | 2015 | 21 | |
| 20 | Supply chain integration and optimization model for small and medium enterprises (SMEs) | 2009 | 3 |
About Wei Dai
Wei Dai is a scholar working on Management Information Systems, Management Science and Operations Research, Signal Processing, Economics and Econometrics and Strategy and Management, having authored 72 papers that have together received 905 indexed citations. Recurring topics across this work include Stock Market Forecasting Methods (10 papers), Complex Systems and Time Series Analysis (7 papers), Supply Chain and Inventory Management (6 papers), Image and Signal Denoising Methods (6 papers), Market Dynamics and Volatility (6 papers), Sustainable Supply Chain Management (6 papers), Image and Video Quality Assessment (6 papers) and Advanced Image Processing Techniques (6 papers). The work is most often cited by research in Management Science and Operations Research (258 citations), Economics and Econometrics (283 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, Zhaofu Hong, Hsing Luh, Jiaqian Wu, Jichang Dong, Ju Ren and Deyu Zhang. Their work appears in journals such as Applied Energy, Corrosion Science, International Journal of Information Technology & Decision Making, Frontiers in Bioengineering and Biotechnology 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.