Beibei Wang

535 citations
16 papers · 436 · h-index 6

Impact in

Papers in

Beibei Wang

15 papers receiving 424 citations

Peers

Beibei Wang
Comparison fields: 5 of 24
  • Condensed Matter Physics 124
  • Automotive Engineering 103
  • Electrical and Electronic Engineering 422
  • Control and Systems Engineering 74
  • Renewable Energy, Sustainability and the Environment 24
Replace Montu Doshi with:
Montu Doshi United States
Mattia Guacci Switzerland
Jinghai Zhou United States
Lixing Fu United States
Thomas Duerbaum Germany
Kai Tian China
Yeh-Hsiang Ho Hong Kong
Kailin Ren China
Ignacio Castro Spain
Weijing Du United States
Beibei Wang relative to Montu Doshi United States Montu Doshi's profile →
Citations per field
00.5×4.4×
Montu Doshi · 1×
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

16 of 16 papers shown
#Work
1 2009285
2 201086
3 202018
4 20219
5 20207
6 20147
7 20225
8 20145
9 20233
10 20183
11 20143
12 20132
13 20201
14 20191
15 20191
16 20230

About Beibei Wang

Beibei Wang is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Control and Systems Engineering, Condensed Matter Physics and Molecular Biology, having authored 16 papers that have together received 436 indexed citations. Recurring topics across this work include Advanced DC-DC Converters (6 papers), Multilevel Inverters and Converters (5 papers), Electrical Fault Detection and Protection (4 papers), HVDC Systems and Fault Protection (4 papers), Vacuum and Plasma Arcs (3 papers), Silicon Carbide Semiconductor Technologies (2 papers), Microgrid Control and Optimization (2 papers) and GaN-based semiconductor devices and materials (2 papers). The work is most often cited by research in Condensed Matter Physics (124 citations), Automotive Engineering (103 citations), Electrical and Electronic Engineering (422 citations), Control and Systems Engineering (74 citations) and Renewable Energy, Sustainability and the Environment (24 citations). Beibei Wang has collaborated with scholars based in China and United States. Frequent co-authors include Kai Yao, Xinbo Ruan, Ming Xu, Shu Wang, Trillion Q. Zheng, Jiepin Zhang, Jiaze Li, Hailong He, Mingzhe Rong and Chunping Niu. Their work appears in journals such as IEEE Transactions on Power Electronics, IEEE Transactions on Industrial Electronics, IEEE Transactions on Power Delivery, Optics Communications and IEEE photonics journal.

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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