Ling Fu

2.4k citations
49 papers · 1.9k · h-index 19

Impact in

Papers in

Ling Fu

47 papers receiving 1.9k citations

Peers

Ling Fu
Comparison fields: 5 of 107
  • Control and Systems Engineering 632
  • Electrical and Electronic Engineering 769
  • Molecular Biology 606
  • Safety, Risk, Reliability and Quality 74
  • Endocrine and Autonomic Systems 42
Replace Chi-Ting Su with:
Chi-Ting Su Taiwan
Huijian Zhang China
Rong Chen China
Danhong Zhang China
Ying Nie China
Wanli Yang China
Deguang Wang China
Xiaoxiong Liu China
Hongtao Wu China
Ling Fu relative to Chi-Ting Su Taiwan Chi-Ting Su's profile →
Citations per field
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Chi-Ting Su · 1×
Citations per year

Countries citing papers authored by Ling Fu

Since Specialization
Citations

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

Fields of papers citing papers by Ling Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004483
2 2002481
3 2010153
4 2010124
5 202371
6 202155
7 201144
8 201140
9 201639
10 201634
11 201832
12 200932
13 201127
14 201926
15 202226
16 201326
17 201925
18 200923
19 202118
20 201816

About Ling Fu

Ling Fu is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Safety, Risk, Reliability and Quality, Artificial Intelligence and Automotive Engineering, having authored 49 papers that have together received 1.9k indexed citations. Recurring topics across this work include Power Systems Fault Detection (26 papers), Power System Optimization and Stability (13 papers), HVDC Systems and Fault Protection (9 papers), Smart Grid and Power Systems (8 papers), High-Voltage Power Transmission Systems (7 papers), Power System Reliability and Maintenance (6 papers), Wireless Power Transfer Systems (4 papers) and Machine Fault Diagnosis Techniques (4 papers). The work is most often cited by research in Control and Systems Engineering (632 citations), Electrical and Electronic Engineering (769 citations), Molecular Biology (606 citations), Safety, Risk, Reliability and Quality (74 citations) and Endocrine and Autonomic Systems (42 citations). Ling Fu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Elizabeth Tomlinson, Linu M. John, Mark Renz, Timothy A. Stewart, Zhengyou He, Ruikun Mai, Xiaojian Huang, Dorothy French, Bruce D. Hultgren and Lyn Powell-Braxton. Their work appears in journals such as IEEE Transactions on Power Delivery, IET Generation Transmission & Distribution, IEEE Transactions on Smart Grid, International Journal of Electrical Power & Energy Systems and Endocrinology.

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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