Ling Fu
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- Power Systems Fault Detection 26
- Machine Fault Diagnosis Techniques 4
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- Power System Optimization and Stability 13
- HVDC Systems and Fault Protection 9
- Smart Grid and Power Systems 8
- High-Voltage Power Transmission Systems 7
- Energy Harvesting in Wireless Networks 4
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- Power System Reliability and Maintenance 6
- Co-authors
- Mark RenzLinu M. JohnElizabeth TomlinsonTimothy A. StewartZhengyou HeRuikun MaiXiaojian HuangDorothy French
- Journals
- IEEE Transactions on Power Delivery (5 papers)IET Generation Transmission & Distribution (3 papers)Endocrinology (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Ling Fu
46 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 108
- Control and Systems Engineering 623
- Electrical and Electronic Engineering 754
- Molecular Biology 660
- Safety, Risk, Reliability and Quality 73
- Epidemiology 230
Countries citing papers authored by Ling Fu
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
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 65 | |
| 4 | 2023 | 12 | |
| 5 | 2022 | 1 | |
| 6 | 2021 | 0 | |
| 7 | 2020 | 1 | |
| 8 | 2019 | 25 | |
| 9 | 2019 | 25 | |
| 10 | Exploring the use of additive manufacturing in providing an alternative approach to the design, manufacture and maintenance of interior rail components | 2018 | 6 |
| 11 | 2017 | 3 | |
| 12 | A detection method of abnormal harmonic current monitoring data | 2016 | 1 |
| 13 | 2016 | 34 | |
| 14 | 2015 | 5 | |
| 15 | 2015 | 5 | |
| 16 | 2011 | 26 | |
| 17 | Feature Extraction of Fault Transient and Fault Type Determination for EHV Transmission Lines | 2010 | 2 |
| 18 | 2009 | 32 | |
| 19 | 2006 | 13 | |
| 20 | 2004 | 481 |
About Ling Fu
Ling Fu is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Architecture, 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), Energy Harvesting in Wireless Networks (4 papers) and Machine Fault Diagnosis Techniques (4 papers). The work is most often cited by research in Control and Systems Engineering (623 citations), Electrical and Electronic Engineering (754 citations) and Molecular Biology (660 citations). Ling Fu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Mark Renz, Linu M. John, Elizabeth Tomlinson, Timothy A. Stewart, Zhengyou He, Ruikun Mai, Xiaojian Huang, Dorothy French, Lyn Powell-Braxton and Bruce D. Hultgren. Their work appears in journals such as IEEE Transactions on Power Delivery, IET Generation Transmission & Distribution, Endocrinology, International Journal of Electrical Power & Energy Systems and IEEE Transactions on Power Electronics.
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.