F. Wu

1.7k citations
29 papers · 1.3k · h-index 14

Impact in

Papers in

F. Wu

26 papers receiving 1.2k citations

Peers

F. Wu
Comparison fields: 5 of 88
  • Statistical and Nonlinear Physics 385
  • Control and Systems Engineering 408
  • Numerical Analysis 84
  • Energy Engineering and Power Technology 46
  • Safety, Risk, Reliability and Quality 130
Replace Kenji Kashima with:
Kenji Kashima Japan
Sicun Gao United States
Jun Shen China
Benjamin C. Kuo United States
Claus Hillermeier Germany
Wenying Xu China
N.R. Malik United States
Junhao Hu China
Yılmaz Uyaroğlu Türkiye
Ching-Tai Lin United States
F. Wu relative to Kenji Kashima Japan Kenji Kashima's profile →
Citations per field
00.5×10×16.3×
Kenji Kashima · 1×
Citations per year

Countries citing papers authored by F. Wu

Since Specialization
Citations

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

Fields of papers citing papers by F. Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004341
2 1982190
3 1987188
4 198274
5 197670
6 197266
7 198357
8 198445
9 197243
10 198339
11 201133
12 198633
13 200018
14 198213
15 198312
16 197411
17 200210
18 200410
19 198110
20 20129

About F. Wu

F. Wu is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Control and Systems Engineering, Statistical and Nonlinear Physics and Numerical Analysis, having authored 29 papers that have together received 1.3k indexed citations. Recurring topics across this work include Power System Optimization and Stability (13 papers), Optimal Power Flow Distribution (11 papers), Electric Power System Optimization (7 papers), Smart Grid Energy Management (4 papers), Model Reduction and Neural Networks (3 papers), Energy Load and Power Forecasting (2 papers), HVDC Systems and Fault Protection (2 papers) and Matrix Theory and Algorithms (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (385 citations), Control and Systems Engineering (408 citations), Numerical Analysis (84 citations), Energy Engineering and Power Technology (46 citations) and Safety, Risk, Reliability and Quality (130 citations). F. Wu has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Bernardo A. Huberman, Shinya Kumagai, Pravin Varaiya, Hsiao‐Dong Chiang, R.J. Kaye, C. Desoer, N. Narasimhamurthi, Chen‐Ching Liu, A.S. Chuang and Yixin Ni. Their work appears in journals such as IEEE Transactions on Power Systems, IEEE Transactions on Circuits and Systems, The European Physical Journal B, Journal of Inverse and Ill-Posed Problems and IEEE Power Engineering Review.

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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