Dai Li
Impact in
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- Stock Market Forecasting Methods
- Forecasting Techniques and Applications
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- Environmental Sustainability in Business
Papers in
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- Text and Document Classification Technologies 3
- Sentiment Analysis and Opinion Mining 2
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- Energy Load and Power Forecasting 2
- Power Systems and Technologies 2
- Smart Grid and Power Systems 2
- Co-authors
- Cheng Bi (1 shared paper)Xiaolu Zhang (1 shared paper)Chunhui Ren (1 shared paper)Jinhong Guo (1 shared paper)Jianwei Li (2 shared papers)Yi Lu Murphey (1 shared paper)Ningmei Yu (2 shared papers)Sangmun Shin (1 shared paper)
- Journals
- IEEE Access (3 papers)Applied Sciences (1 paper)PLoS ONE (1 paper)International Journal of Fuzzy Systems (1 paper)Information Fusion (1 paper)
- Partner nations
- ChinaUnited StatesVietnam
In The Last Decade
Dai Li
16 papers receiving 249 citations
Peers
Comparison fields: 5 of 75
- Management Science and Operations Research 47
- Marketing 29
- Experimental and Cognitive Psychology 29
- Cognitive Neuroscience 42
- Applied Psychology 10
Countries citing papers authored by Dai Li
This map shows the geographic impact of Dai Li'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 Dai Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dai Li more than expected).
Fields of papers citing papers by Dai Li
This network shows the impact of papers produced by Dai Li. 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 Dai Li. The network helps show where Dai Li may publish in the future.
Co-authors
The 19 scholars most cited alongside Dai Li, 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 | 2019 | 88 | |
| 2 | 2023 | 69 | |
| 3 | 2023 | 48 | |
| 4 | 2022 | 14 | |
| 5 | 2013 | 9 | |
| 6 | 2024 | 9 | |
| 7 | 2021 | 5 | |
| 8 | 2022 | 4 | |
| 9 | 2007 | 3 | |
| 10 | 2020 | 2 | |
| 11 | 2024 | 2 | |
| 12 | 2014 | 2 | |
| 13 | Current status and application prospect of electronic transformer | 2010 | 1 |
| 14 | 2021 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2019 | 1 | |
| 17 | 2025 | 0 |
About Dai Li
Dai Li is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Management Science and Operations Research, Computer Vision and Pattern Recognition and Media Technology, having authored 17 papers that have together received 259 indexed citations. Recurring topics across this work include Text and Document Classification Technologies (3 papers), Energy Load and Power Forecasting (2 papers), Sentiment Analysis and Opinion Mining (2 papers), Energy, Environment, Economic Growth (2 papers), Image and Signal Denoising Methods (2 papers), Power Systems and Technologies (2 papers), Smart Grid and Power Systems (2 papers) and Advanced Image Fusion Techniques (2 papers). The work is most often cited by research in Management Science and Operations Research (47 citations), Marketing (29 citations), Experimental and Cognitive Psychology (29 citations), Cognitive Neuroscience (42 citations) and Applied Psychology (10 citations). Dai Li has collaborated with scholars based in China, United States and Vietnam. Frequent co-authors include Cheng Bi, Xiaolu Zhang, Chunhui Ren, Jinhong Guo, Jianwei Li, Yi Lu Murphey, Ningmei Yu, Sangmun Shin, Lei Duan and Shuang Yan. Their work appears in journals such as IEEE Access, Applied Sciences, PLoS ONE, International Journal of Fuzzy Systems and Information Fusion.
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.