Ling Fu

2.3k total citations
49 papers, 1.9k citations indexed

About

Ling Fu is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Ling Fu has authored 49 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Electrical and Electronic Engineering, 31 papers in Control and Systems Engineering and 6 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Ling Fu's work include Power Systems Fault Detection (26 papers), Power System Optimization and Stability (13 papers) and HVDC Systems and Fault Protection (9 papers). Ling Fu is often cited by papers focused on Power Systems Fault Detection (26 papers), Power System Optimization and Stability (13 papers) and HVDC Systems and Fault Protection (9 papers). Ling Fu collaborates with scholars based in China, United States and Australia. Ling Fu's co-authors include Linu M. John, Elizabeth Tomlinson, Timothy A. Stewart, Mark Renz, Zhengyou He, Ruikun Mai, Bruce D. Hultgren, Dorothy French, Lyn Powell-Braxton and Xiaojian Huang and has published in prestigious journals such as The Science of The Total Environment, IEEE Transactions on Industrial Electronics and International Journal of Molecular Sciences.

In The Last Decade

Ling Fu

46 papers receiving 1.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ling Fu China 18 754 660 623 287 230 49 1.9k
Chi-Ting Su Taiwan 16 334 0.4× 180 0.3× 221 0.4× 103 0.4× 69 0.3× 41 1.2k
Rong Chen China 20 224 0.3× 235 0.4× 129 0.2× 134 0.5× 73 0.3× 72 1.3k
Xiaoxiong Liu China 21 56 0.1× 374 0.6× 222 0.4× 68 0.2× 242 1.1× 141 1.5k
Zhao-Xu Yang China 22 105 0.1× 404 0.6× 86 0.1× 199 0.7× 89 0.4× 82 1.3k
Ying Nie China 19 259 0.3× 356 0.5× 20 0.0× 169 0.6× 107 0.5× 52 1.3k
Wanli Yang China 21 54 0.1× 426 0.6× 291 0.5× 114 0.4× 56 0.2× 78 1.1k
Zuojun Liu China 19 108 0.1× 459 0.7× 151 0.2× 12 0.0× 165 0.7× 86 1.3k
Chengning Zhang China 18 484 0.6× 179 0.3× 178 0.3× 37 0.1× 106 0.5× 83 997
Danhong Zhang China 15 150 0.2× 202 0.3× 121 0.2× 72 0.3× 171 0.7× 99 951
Deguang Wang China 19 82 0.1× 214 0.3× 47 0.1× 66 0.2× 79 0.3× 121 1.2k

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-authorship network of co-authors of Ling Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Ling Fu. A scholar is included among the top collaborators of Ling Fu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ling Fu. Ling Fu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Song, Le Huu, Jie Li, Zhengshan Chen, et al.. (2025). Highly Potent Neutralizing Nanobodies Acting Against Chikungunya Virus Infection via Inhibiting Multiple Stages of the Viral Life Cycle. International Journal of Molecular Sciences. 26(9). 3982–3982.
3.
Chen, Yang, et al.. (2023). A Clamp Circuit-Based Inductive Power Transfer System With Reconfigurable Rectifier Tolerating Extensive Coupling Variations. IEEE Transactions on Power Electronics. 39(2). 1942–1946. 65 indexed citations
4.
Fu, Ling, et al.. (2023). LSTM autoencoders based unsupervised machine learning for transmission line protection. Electric Power Systems Research. 221. 109432–109432. 12 indexed citations
5.
Mai, Ruikun, et al.. (2021). Transfer Learning for Power Systems Protection Applications. 2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME). 1–5.
6.
Fu, Ling, et al.. (2021). A Dynamic Synchrophasor Estimation Algorithm Considering Out-of-Band Interference. IEEE Transactions on Power Delivery. 37(2). 1193–1202. 8 indexed citations
7.
Li, Xiaopeng, et al.. (2020). A Kaiser Window-based Dynamic Phasor Estimation Algorithm for Power Oscillation. 365–370. 1 indexed citations
8.
Bai, Yanan, Yong‐Ze Lu, Ling Fu, et al.. (2019). Microbial selenite reduction coupled to anaerobic oxidation of methane. The Science of The Total Environment. 669. 168–174. 25 indexed citations
9.
Deng, Yujia, Sheng Lin, Ling Fu, et al.. (2019). New Criterion of Converter Transformer Differential Protection Based on Wavelet Energy Entropy. IEEE Transactions on Power Delivery. 34(3). 980–990. 25 indexed citations
10.
Fu, Ling, et al.. (2019). A Multiple Frequency Taylor Model-Based Dynamic Synchrophasor Estimation Algorithm. IEEE Transactions on Smart Grid. 10(6). 6870–6882. 15 indexed citations
11.
Fu, Ling, et al.. (2018). Exploring the use of additive manufacturing in providing an alternative approach to the design, manufacture and maintenance of interior rail components. Monash University Research Portal (Monash University). 6 indexed citations
12.
13.
Ma, Zhiyuan, et al.. (2016). A detection method of abnormal harmonic current monitoring data. 44(21). 102. 1 indexed citations
14.
Fu, Ling, et al.. (2016). A Modified Dynamic Synchrophasor Estimation Algorithm Considering Frequency Deviation. IEEE Transactions on Smart Grid. 1–1. 34 indexed citations
15.
He, Zhengyou, et al.. (2015). Precise algorithm for frequency estimation under dynamic and step‐change conditions. IET Science Measurement & Technology. 9(7). 842–851. 5 indexed citations
16.
17.
Fu, Ling, Zhengyou He, & Qian Qing-quan. (2010). Feature Extraction of Fault Transient and Fault Type Determination for EHV Transmission Lines. 30(22). 100–106. 2 indexed citations
18.
Mai, Ruikun, et al.. (2009). Dynamic phasor and frequency estimator for phasor measurement units. IET Generation Transmission & Distribution. 4(1). 73–83. 32 indexed citations
20.
Fu, Ling, Linu M. John, Sean H. Adams, et al.. (2004). Fibroblast Growth Factor 19 Increases Metabolic Rate and Reverses Dietary and Leptin-Deficient Diabetes. Endocrinology. 145(6). 2594–2603. 481 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026