Wei Dai
Impact in
- Automotive Engineering top 5%
Papers in
-
- Microgrid Control and Optimization 12
- Co-authors
- Hui Hwang GohDongdong ZhangJuan YuYongjun PanTonni Agustiono KurniawanKai Chen GohHui LiuZhifang Yang
- Journals
- International Journal of Electrical Power & Energy Systems (6 papers)Energy Reports (5 papers)Energy (5 papers)IEEE Transactions on Power Systems (5 papers)Applied Energy (4 papers)
- Partner nations
- ChinaMalaysiaUnited States
In The Last Decade
Wei Dai
83 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 114
- Energy Engineering and Power Technology 87
- Automotive Engineering 167
- Electrical and Electronic Engineering 663
- Control and Systems Engineering 261
- Health Informatics 13
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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 28 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 8 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 0 | |
| 10 | 2023 | 11 | |
| 11 | 2023 | 1 | |
| 12 | 2023 | 3 | |
| 13 | 2023 | 15 | |
| 14 | 2022 | 102 | |
| 15 | 2022 | 1 | |
| 16 | 2021 | 20 | |
| 17 | 2020 | 2 | |
| 18 | 2017 | 10 | |
| 19 | 2015 | 30 | |
| 20 | Stability of Stochastic Differential Delay Equations with Markovian Switching | 2008 | 1 |
About Wei Dai
Wei Dai is a scholar working on Energy Engineering and Power Technology, Control and Systems Engineering, Electrical and Electronic Engineering, Safety, Risk, Reliability and Quality and Automotive Engineering, having authored 93 papers that have together received 1.3k indexed citations. Recurring topics across this work include Optimal Power Flow Distribution (24 papers), Integrated Energy Systems Optimization (16 papers), Smart Grid Energy Management (15 papers), Electric Power System Optimization (15 papers), Microgrid Control and Optimization (12 papers), HVDC Systems and Fault Protection (11 papers), Power System Reliability and Maintenance (10 papers) and Electric Vehicles and Infrastructure (9 papers). The work is most often cited by research in Energy Engineering and Power Technology (87 citations), Automotive Engineering (167 citations), Electrical and Electronic Engineering (663 citations), Control and Systems Engineering (261 citations) and Health Informatics (13 citations). Wei Dai has collaborated with scholars based in China, Malaysia and United States. Frequent co-authors include Hui Hwang Goh, Dongdong Zhang, Juan Yu, Yongjun Pan, Tonni Agustiono Kurniawan, Kai Chen Goh, Hui Liu, Zhifang Yang, Qi Zhang and Jun Shi. Their work appears in journals such as International Journal of Electrical Power & Energy Systems, Energy Reports, Energy, IEEE Transactions on Power Systems and Applied Energy.
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.