Wei Dai

1.9k citations
95 papers · 1.3k · h-index 20

Impact in

Papers in

Wei Dai

85 papers receiving 1.3k citations

Peers

Wei Dai
Comparison fields: 5 of 112
  • Energy Engineering and Power Technology 89
  • Automotive Engineering 170
  • Electrical and Electronic Engineering 680
  • Control and Systems Engineering 265
  • Industrial and Manufacturing Engineering 84
Replace Umashankar Subramaniam with:
Umashankar Subramaniam Saudi Arabia
Maher G. M. Abdolrasol Malaysia
Xiaomin Xu China
Muhammad Hamza Zafar Norway
Dawei Qiu United Kingdom
Radomír Goňo Czechia
Alexandra M. Newman United States
Mohamad Abou Houran China
Honglu Zhu China
Xiaoyu Cao China
Wei Dai relative to Umashankar Subramaniam Saudi Arabia Umashankar Subramaniam's profile →
Citations per field
00.5×9.3×
Umashankar Subramaniam · 1×
Citations per year

Countries citing papers authored by Wei Dai

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Wei Dai Line = papers co-authored together Wei Dai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016181
2 2022104
3 202267
4 202257
5 201551
6 202145
7 202242
8 202242
9 202039
10 202136
11 201934
12 202134
13 201932
14 201530
15 201930
16 202429
17 201927
18 201725
19 201824
20 202120

About Wei Dai

Wei Dai is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Automotive Engineering, Safety, Risk, Reliability and Quality and Energy Engineering and Power Technology, having authored 95 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), Electric Power System Optimization (15 papers), Smart Grid Energy Management (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 (89 citations), Automotive Engineering (170 citations), Electrical and Electronic Engineering (680 citations), Control and Systems Engineering (265 citations) and Industrial and Manufacturing Engineering (84 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, IEEE Transactions on Power Systems, Energy Reports, Energy and IEEE Access.

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.

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