Ling Gu

866 citations
53 papers · 445 · h-index 11

Impact in

Papers in

Ling Gu

50 papers receiving 435 citations

Peers

Ling Gu
Comparison fields: 5 of 70
  • Endocrinology 30
  • Electrical and Electronic Engineering 307
  • Control and Systems Engineering 110
  • Automotive Engineering 50
  • Infectious Diseases 33
Replace V.K. Sharma with:
V.K. Sharma India
Yu-Huei Lee Taiwan
Rishi Kumar Singh India
Jianying Liu China
Guanchen Liu China
Zhan Ma China
Jinhong Xie China
H. OHMORI Japan
Shouyin Zhang China
Shouming Zhang China
Ling Gu relative to V.K. Sharma India V.K. Sharma's profile →
Citations per field
00.5×3.5×
V.K. Sharma · 1×
Citations per year

Countries citing papers authored by Ling Gu

Since Specialization
Citations

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

Fields of papers citing papers by Ling Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201852
2 201451
3 201044
4 201329
5 200826
6 202023
7 202020
8 201819
9 201219
10 200916
11 201614
12 20209
13 20139
14 20128
15
[Epidemiological study on an outbreak caused by E. coli O157:H7 in Jiangsu province].
20047
16 20157
17 20147
18 20176
19 20106
20
[Surveillance of Escherichia coli O157:H7 among animals in Jiangsu province in 1999].
20025

About Ling Gu

Ling Gu is a scholar working on Electrical and Electronic Engineering, Automotive Engineering, Control and Systems Engineering, Endocrinology and Atomic and Molecular Physics, and Optics, having authored 53 papers that have together received 445 indexed citations. Recurring topics across this work include Advanced DC-DC Converters (29 papers), Multilevel Inverters and Converters (22 papers), Wireless Power Transfer Systems (11 papers), Advanced Battery Technologies Research (7 papers), Escherichia coli research studies (6 papers), Microgrid Control and Optimization (5 papers), Silicon Carbide Semiconductor Technologies (5 papers) and Gyrotron and Vacuum Electronics Research (5 papers). The work is most often cited by research in Endocrinology (30 citations), Electrical and Electronic Engineering (307 citations), Control and Systems Engineering (110 citations), Automotive Engineering (50 citations) and Infectious Diseases (33 citations). Ling Gu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Ke Jin, Kai Peng, Xinbo Ruan, Ming Xu, Xuefeng Jiang, Da Xu, Qiang Li, Pengfei Li, Ya-Lan Guo and Hua Wang. Their work appears in journals such as IEEE Transactions on Power Electronics, IEEE Transactions on Industrial Electronics, IET Power Electronics, IEEE Journal of Emerging and Selected Topics in Power Electronics and Biochemical and Biophysical Research Communications.

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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