Ling Gu

855 citations
53 papers · 436 · h-index 11

Impact in

Papers in

Ling Gu

49 papers receiving 428 citations

Peers

Ling Gu
Comparison fields: 5 of 72
  • Endocrinology 31
  • Electrical and Electronic Engineering 301
  • Control and Systems Engineering 109
  • Automotive Engineering 50
  • Parasitology 12
Replace V.K. Sharma with:
V.K. Sharma India
Yu-Huei Lee Taiwan
Rishi Kumar Singh India
Zhan Ma China
Jinhong Xie China
Yongsheng Liu China
Shouming Zhang China
Laura Arnal Spain
Mingyang Cheng China
Ling Gu relative to V.K. Sharma India V.K. Sharma's profile →
Citations per field
00.5×
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 201450
3 201043
4 201327
5 200825
6 202023
7 202020
8 201219
9 201818
10 200916
11 201614
12 20139
13 20209
14 20128
15 20147
16 20157
17
[Epidemiological study on an outbreak caused by E. coli O157:H7 in Jiangsu province].
20047
18 20106
19 20176
20 20095

About Ling Gu

Ling Gu is a scholar working on Electrical and Electronic Engineering, Endocrinology, Automotive Engineering, Control and Systems Engineering and Atomic and Molecular Physics, and Optics, having authored 53 papers that have together received 436 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), Escherichia coli research studies (8 papers), Advanced Battery Technologies Research (7 papers), Microgrid Control and Optimization (5 papers), Gyrotron and Vacuum Electronics Research (5 papers) and Silicon Carbide Semiconductor Technologies (5 papers). The work is most often cited by research in Endocrinology (31 citations), Electrical and Electronic Engineering (301 citations), Control and Systems Engineering (109 citations), Automotive Engineering (50 citations) and Parasitology (12 citations). Ling Gu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Ke Jin, Kai Peng, Xinbo Ruan, Qiang Li, Xuefeng Jiang, Da Xu, Ming Xu, Pengfei Li, Xin Zhang and Wei Zhu. 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 Journal of Infrared Millimeter and Terahertz Waves.

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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