Renchang Dai
- Electrical and Electronic Engineering top 10%
- Control and Systems Engineering top 5%
- Artificial Intelligence
- Safety, Risk, Reliability and Quality top 10%
- Energy Engineering and Power Technology top 10%
- Co-authors
- Guangyi LiuChen YuanJ.J. Sanchez-GascaXiaoming YuanR.J. PiwkoZhiwei WangJ. R. LyonsSaeed D. Manshadi
- Topics
- Optimal Power Flow Distribution (25 papers)Power System Optimization and Stability (19 papers)Power Systems and Technologies (14 papers)
- Cited by
- Energy Engineering and Power TechnologyControl and Systems EngineeringElectrical and Electronic Engineering
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Renchang Dai
53 papers receiving 566 citations
Peers
Comparison fields: 5 of 39
- Electrical and Electronic Engineering 503
- Control and Systems Engineering 299
- Artificial Intelligence 69
- Safety, Risk, Reliability and Quality 47
- Energy Engineering and Power Technology 44
Countries citing papers authored by Renchang Dai
This map shows the geographic impact of Renchang 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 Renchang Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Renchang Dai more than expected).
Fields of papers citing papers by Renchang Dai
This network shows the impact of papers produced by Renchang 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 Renchang Dai. The network helps show where Renchang Dai may publish in the future.
Co-authorship network of co-authors of Renchang Dai
This figure shows the co-authorship network connecting the top 25 collaborators of Renchang Dai. A scholar is included among the top collaborators of Renchang Dai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Renchang Dai. Renchang Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 8 | |
| 5 | 1 | |
| 6 | 32 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 51 | |
| 10 | 19 | |
| 11 | 13 | |
| 12 | 9 | |
| 13 | 16 | |
| 14 | 11 | |
| 15 | 1 | |
| 16 | 7 | |
| 17 | 8 | |
| 18 | 28 | |
| 19 | 8 | |
| 20 | ELECTROMAGNETIC TRANSIENT SIMULATION OF STATIC VAR COMPENSATOR IN DTS | 5 |
About Renchang Dai
Renchang Dai is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Safety, Risk, Reliability and Quality, having authored 54 papers that have together received 595 indexed citations. Recurring topics across this work include Optimal Power Flow Distribution (25 papers), Power System Optimization and Stability (19 papers) and Power Systems and Technologies (14 papers). The work is most often cited by research in Energy Engineering and Power Technology (44 citations), Control and Systems Engineering (299 citations) and Electrical and Electronic Engineering (503 citations). Renchang Dai has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Guangyi Liu, Chen Yuan, J.J. Sanchez-Gasca, Xiaoming Yuan, R.J. Piwko, Zhiwei Wang, J. R. Lyons, Saeed D. Manshadi, N. Miller and Nicholas Miller. Their work appears in journals such as IEEE Access, IEEE Transactions on Smart Grid and LWT.
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.