Beibei Wang

1.3k citations
72 papers · 1.0k · h-index 16

Impact in

Papers in

Beibei Wang

66 papers receiving 991 citations

Peers

Beibei Wang
Comparison fields: 5 of 57
  • Energy Engineering and Power Technology 61
  • Control and Systems Engineering 406
  • Electrical and Electronic Engineering 917
  • Safety, Risk, Reliability and Quality 62
  • Renewable Energy, Sustainability and the Environment 72
Replace Chenhui Lin with:
Chenhui Lin China
Farrokh Rahimi United States
Rajveer Singh India
Jhi‐Young Joo United States
Shantanu Chakraborty Japan
Yuchao Qin China
Charlotte Ramsay United Kingdom
Ranjit Kumar United States
Sleiman Mhanna Australia
D. Saxena India
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Citations per field
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Citations per year

Countries citing papers authored by Beibei Wang

Since Specialization
Citations

This map shows the geographic impact of Beibei Wang'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 Beibei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beibei Wang more than expected).

Fields of papers citing papers by Beibei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Beibei Wang. 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 Beibei Wang. The network helps show where Beibei Wang may publish in the future.

Co-authors

The 25 scholars most cited alongside Beibei Wang, 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 Beibei Wang Line = papers co-authored together Beibei Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015166
2 2015106
3 201469
4 201556
5 201849
6 201748
7 202146
8 201633
9 202030
10 202029
11 201827
12 202126
13 201326
14 201522
15 201521
16 202015
17 202215
18 201513
19 201512
20 202112

About Beibei Wang

Beibei Wang is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Energy Engineering and Power Technology, Information Systems and Automotive Engineering, having authored 72 papers that have together received 1.0k indexed citations. Recurring topics across this work include Smart Grid Energy Management (47 papers), Electric Power System Optimization (29 papers), Microgrid Control and Optimization (18 papers), Optimal Power Flow Distribution (16 papers), Electric Vehicles and Infrastructure (9 papers), Power Systems and Renewable Energy (9 papers), Energy Load and Power Forecasting (7 papers) and Integrated Energy Systems Optimization (7 papers). The work is most often cited by research in Energy Engineering and Power Technology (61 citations), Control and Systems Engineering (406 citations), Electrical and Electronic Engineering (917 citations), Safety, Risk, Reliability and Quality (62 citations) and Renewable Energy, Sustainability and the Environment (72 citations). Beibei Wang has collaborated with scholars based in China, United States and Bangladesh. Frequent co-authors include Benjamin F. Hobbs, Yang Li, Fangxing Li, Yu‐Qing Bao, Xin Fang, Qinran Hu, Yachao Li, Ying‐Yi Hong, Yang Li and Shengchun Yang. Their work appears in journals such as Energies, IEEE Access, International Journal of Electrical Power & Energy Systems, IET Renewable Power Generation and Electric Power Systems Research.

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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