Li‐Chen Fu

11.9k citations
658 papers · 8.8k · h-index 45

Impact in

Papers in

Li‐Chen Fu

624 papers receiving 8.4k citations

Peers

Li‐Chen Fu
Comparison fields: 5 of 197
  • Control and Systems Engineering 3.3k
  • Computer Vision and Pattern Recognition 2.3k
  • Industrial and Manufacturing Engineering 843
  • Human-Computer Interaction 292
  • Automotive Engineering 554
Replace Hajime Asama with:
Hajime Asama Japan
Huaping Liu China
Fuchun Sun China
Jan Peters Germany
Morgan Quigley United States
Bruno Siciliano Italy
Yibin Li China
Jian Huang China
Hong Qiao China
Emil M. Petriu Canada
Li‐Chen Fu relative to Hajime Asama Japan Hajime Asama's profile →
Citations per field
00.5×3.6×
Hajime Asama · 1×
Citations per year

Countries citing papers authored by Li‐Chen Fu

Since Specialization
Citations

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

Fields of papers citing papers by Li‐Chen Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 658 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012395
2 2013339
3 2007157
4 2014136
5 2010123
6 2009121
7 1992108
8 2008108
9 199398
10 201691
11 201289
12 199786
13 199086
14 200584
15 200083
16 200480
17 202077
18 200676
19 201874
20 201071

About Li‐Chen Fu

Li‐Chen Fu is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Aerospace Engineering and Biomedical Engineering, having authored 658 papers that have together received 8.8k indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (105 papers), Video Surveillance and Tracking Methods (65 papers), Context-Aware Activity Recognition Systems (58 papers), Iterative Learning Control Systems (56 papers), Scheduling and Optimization Algorithms (48 papers), Advanced Control Systems Optimization (47 papers), Sensorless Control of Electric Motors (36 papers) and Advanced Vision and Imaging (34 papers). The work is most often cited by research in Control and Systems Engineering (3.3k citations), Computer Vision and Pattern Recognition (2.3k citations), Industrial and Manufacturing Engineering (843 citations), Human-Computer Interaction (292 citations) and Automotive Engineering (554 citations). Li‐Chen Fu has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Chao-Lin Wu, Pei‐Yung Hsiao, Tsung-Che Chiang, Ching-Hu Lu, Shih-Shinh Huang, Ming‐Li Chiang, Mei-Yung Chen, Feng‐Li Lian, Jen‐te Yu and Tian‐Hua Liu. Their work appears in journals such as IEEE Transactions on Industrial Electronics, IEEE/ASME Transactions on Mechatronics, IEEE Transactions on Automation Science and Engineering, IEEE Transactions on Automatic Control and Automatica.

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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