Dan Dai
Impact in
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- Traditional Chinese Medicine Studies
Papers in
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- Stability and Control of Uncertain Systems 4
- Advanced Control Systems Optimization 4
- Control Systems and Identification 2
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- Advanced Neural Network Applications 3
- Co-authors
- Andrew R. Teel (5 shared papers)Tingshu Hu (5 shared papers)Luca Zaccarian (4 shared papers)Yang Hu (8 shared papers)Guihua Wen (6 shared papers)Zhiwen Yu (6 shared papers)Changjun Wang (2 shared papers)Wendy Hall (3 shared papers)
- Journals
- IEEE Transactions on Cybernetics (3 papers)Microchemical Journal (1 paper)Artificial Intelligence in Medicine (1 paper)INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences (1 paper)Clinical Cosmetic and Investigational Dermatology (1 paper)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Dan Dai
27 papers receiving 368 citations
Peers
Comparison fields: 5 of 72
- Complementary and alternative medicine 68
- Health Informatics 8
- Control and Systems Engineering 136
- Computer Science Applications 16
- Artificial Intelligence 81
Countries citing papers authored by Dan Dai
This map shows the geographic impact of Dan 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 Dan Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Dai more than expected).
Fields of papers citing papers by Dan Dai
This network shows the impact of papers produced by Dan 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 Dan Dai. The network helps show where Dan Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 60 | |
| 2 | 2009 | 47 | |
| 3 | 2019 | 41 | |
| 4 | 2020 | 34 | |
| 5 | 2018 | 33 | |
| 6 | 2023 | 29 | |
| 7 | 2021 | 25 | |
| 8 | 2010 | 23 | |
| 9 | 2021 | 16 | |
| 10 | 2014 | 11 | |
| 11 | 2019 | 11 | |
| 12 | 2014 | 7 | |
| 13 | 2007 | 6 | |
| 14 | 2012 | 6 | |
| 15 | 2020 | 6 | |
| 16 | 2022 | 4 | |
| 17 | 2024 | 3 | |
| 18 | Error Estimation of Iterative Maximum Likelihood Localization in Wireless Sensor Networks. | 2014 | 2 |
| 19 | 2011 | 2 | |
| 20 | 2008 | 2 |
About Dan Dai
Dan Dai is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Complementary and alternative medicine and Atmospheric Science, having authored 28 papers that have together received 376 indexed citations. Recurring topics across this work include Stability and Control of Uncertain Systems (4 papers), Advanced Control Systems Optimization (4 papers), Remote Sensing and Land Use (3 papers), Advanced Neural Network Applications (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Traditional Chinese Medicine Studies (3 papers), Indoor and Outdoor Localization Technologies (3 papers) and Control Systems and Identification (2 papers). The work is most often cited by research in Complementary and alternative medicine (68 citations), Health Informatics (8 citations), Control and Systems Engineering (136 citations), Computer Science Applications (16 citations) and Artificial Intelligence (81 citations). Dan Dai has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Andrew R. Teel, Tingshu Hu, Luca Zaccarian, Yang Hu, Guihua Wen, Zhiwen Yu, Changjun Wang, Wendy Hall, Jane You and C. L. Philip Chen. Their work appears in journals such as IEEE Transactions on Cybernetics, Microchemical Journal, Artificial Intelligence in Medicine, INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences and Clinical Cosmetic and Investigational Dermatology.
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.