Xiaofan Fu

972 citations
40 papers · 718 · h-index 15

Impact in

Papers in

Xiaofan Fu

38 papers receiving 700 citations

Peers

Xiaofan Fu
Comparison fields: 5 of 64
  • Energy Engineering and Power Technology 43
  • Control and Systems Engineering 253
  • Electrical and Electronic Engineering 478
  • Renewable Energy, Sustainability and the Environment 123
  • Artificial Intelligence 158
Replace Nur Fadilah Ab Aziz with:
Nur Fadilah Ab Aziz Malaysia
Swee Peng Ang Brunei
M. Nagrial Australia
Ali Hellany Australia
Xiangning Xiao China
Zsolt Čonka Slovakia
Ghulam Amjad Hussain Finland
Hongchun Shu China
Aissa Kheldoun Algeria
Xiaofan Fu relative to Nur Fadilah Ab Aziz Malaysia Nur Fadilah Ab Aziz's profile →
Citations per field
00.5×2×4×6×8.5×
Nur Fadilah Ab Aziz · 1×
Citations per year

Countries citing papers authored by Xiaofan Fu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaofan Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008131
2 202057
3 201953
4 202352
5 202243
6 202338
7 202131
8 202231
9 202231
10 200823
11 202223
12 202320
13 200818
14 202318
15 202415
16 202313
17 202313
18 202311
19 201210
20 201110

About Xiaofan Fu

Xiaofan Fu is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Electronic, Optical and Magnetic Materials, Renewable Energy, Sustainability and the Environment and Artificial Intelligence, having authored 40 papers that have together received 718 indexed citations. Recurring topics across this work include Optimal Power Flow Distribution (8 papers), Microgrid Control and Optimization (7 papers), Energy Load and Power Forecasting (6 papers), HVDC Systems and Fault Protection (6 papers), Electric Power System Optimization (6 papers), Photovoltaic System Optimization Techniques (5 papers), Smart Grid Energy Management (5 papers) and High-Voltage Power Transmission Systems (5 papers). The work is most often cited by research in Energy Engineering and Power Technology (43 citations), Control and Systems Engineering (253 citations), Electrical and Electronic Engineering (478 citations), Renewable Energy, Sustainability and the Environment (123 citations) and Artificial Intelligence (158 citations). Xiaofan Fu has collaborated with scholars based in China, Canada and Egypt. Frequent co-authors include Guojiang Xiong, Ming Cheng, Jianzhong Zhang, Zhe Chen, Man‐Chung Wong, Ali Wagdy Mohamed, Lei Wang, Jing Zhang, Mohammed Azmi Al‐Betar and Yu He. Their work appears in journals such as International Journal of Electrical Power & Energy Systems, Expert Systems with Applications, IEEE Access, Energies and Diangong Jishu Xuebao.

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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