Wei Dai
Impact in
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- Fault Detection and Control Systems
- Advanced Control Systems Optimization
- Adaptive Control of Nonlinear Systems
- Artificial Intelligence top 2%
- Machine Learning and ELM
- Neural Networks and Applications
Papers in
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- Machine Learning and ELM 24
- Neural Networks and Applications 15
-
- Fault Detection and Control Systems 20
- Advanced Control Systems Optimization 11
- Smart Grid Security and Resilience 8
- Co-authors
- Tianyou Chai (14 shared papers)Chunyu Yang (22 shared papers)Ping Zhou (8 shared papers)Xiaoping Ma (17 shared papers)Depeng Li (4 shared papers)Qianjin Wang (10 shared papers)Lei Ma (12 shared papers)Guoqing Wang (11 shared papers)
- Journals
- IEEE Transactions on Instrumentation and Measurement (8 papers)IEEE Transactions on Industrial Informatics (8 papers)Information Sciences (5 papers)IEEE Transactions on Automation Science and Engineering (5 papers)Neurocomputing (4 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Wei Dai
144 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 152
- Control and Systems Engineering 573
- Artificial Intelligence 507
- Computer Networks and Communications 294
- Computer Science Applications 54
- Computational Theory and Mathematics 128
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 159 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 95 | |
| 2 | 2019 | 85 | |
| 3 | 2014 | 59 | |
| 4 | 2015 | 52 | |
| 5 | 2013 | 44 | |
| 6 | 2020 | 43 | |
| 7 | 2023 | 42 | |
| 8 | 2016 | 38 | |
| 9 | 2020 | 35 | |
| 10 | 2021 | 34 | |
| 11 | 2018 | 34 | |
| 12 | 2020 | 32 | |
| 13 | 2017 | 31 | |
| 14 | 2020 | 28 | |
| 15 | 2014 | 25 | |
| 16 | 2017 | 25 | |
| 17 | 2022 | 23 | |
| 18 | 2023 | 23 | |
| 19 | 2020 | 23 | |
| 20 | 2022 | 21 |
About Wei Dai
Wei Dai is a scholar working on Artificial Intelligence, Control and Systems Engineering, Mechanical Engineering, Computer Networks and Communications and Information Systems, having authored 159 papers that have together received 1.6k indexed citations. Recurring topics across this work include Machine Learning and ELM (24 papers), Fault Detection and Control Systems (20 papers), Mineral Processing and Grinding (20 papers), Neural Networks and Applications (15 papers), Adaptive Dynamic Programming Control (12 papers), Advanced Control Systems Optimization (11 papers), Face and Expression Recognition (8 papers) and Smart Grid Security and Resilience (8 papers). The work is most often cited by research in Control and Systems Engineering (573 citations), Artificial Intelligence (507 citations), Computer Networks and Communications (294 citations), Computer Science Applications (54 citations) and Computational Theory and Mathematics (128 citations). Wei Dai has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Tianyou Chai, Chunyu Yang, Ping Zhou, Xiaoping Ma, Depeng Li, Qianjin Wang, Lei Ma, Guoqing Wang, Song Zhu and Xuesong Wang. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, IEEE Transactions on Industrial Informatics, Information Sciences, IEEE Transactions on Automation Science and Engineering and Neurocomputing.
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.