Kui Fu

841 citations
19 papers · 516 · h-index 7

Impact in

    • Fault Detection and Control Systems
    • Control Systems and Identification
    • Stability and Control of Uncertain Systems
    • Advanced Control Systems Optimization
    • Target Tracking and Data Fusion in Sensor Networks

Papers in

Kui Fu

17 papers receiving 487 citations

Peers

Kui Fu
Comparison fields: 5 of 77
  • Control and Systems Engineering 240
  • Artificial Intelligence 287
  • Computer Vision and Pattern Recognition 92
  • Geology 24
  • Aerospace Engineering 90
Replace Shigemi Nagata with:
Shigemi Nagata Japan
Jiye Qian China
Daniel Gaines United States
Bogdan Savchynskyy Germany
Vasileios Mygdalis Greece
Yue Shen China
Chao Lu China
Eric Nettleton Australia
Yuan Zeng China
Frederick Tung Canada
Kui Fu relative to Shigemi Nagata Japan Shigemi Nagata's profile →
Citations per field
00.5×10×14×
Shigemi Nagata · 1×
Citations per year

Countries citing papers authored by Kui Fu

Since Specialization
Citations

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

Fields of papers citing papers by Kui Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 1970339
2 202076
3 202025
4 201716
5 202414
6 20249
7 20176
8 20245
9
[Comparison of precision in retrieving soybean leaf area index based on multi-source remote sensing data].
20165
10 20154
11 20243
12 20223
13 20143
14 20243
15 20133
16 20151
17 20121
18 20160
19 20230

About Kui Fu

Kui Fu is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering and Atmospheric Science, having authored 19 papers that have together received 516 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (5 papers), Inertial Sensor and Navigation (3 papers), Robot Manipulation and Learning (3 papers), Remote Sensing and Land Use (3 papers), Advanced Vision and Imaging (3 papers), Robotics and Sensor-Based Localization (2 papers), GNSS positioning and interference (2 papers) and Remote Sensing in Agriculture (2 papers). The work is most often cited by research in Control and Systems Engineering (240 citations), Artificial Intelligence (287 citations), Computer Vision and Pattern Recognition (92 citations), Geology (24 citations) and Aerospace Engineering (90 citations). Kui Fu has collaborated with scholars based in China, Australia and South Korea. Frequent co-authors include Jiansheng Peng, Xuanju Dang, Wei He, Zhong-Liang Tang, Hanxiao Zhang, Xiaoliang Wang, Frank Jiang, Lei Wang, Changchun Li and Guijun Yang. Their work appears in journals such as IEEE Transactions on Automatic Control, Physica A Statistical Mechanics and its Applications, IEEE Transactions on Industrial Informatics, Science China Information Sciences and IEEE/ASME Transactions on Mechatronics.

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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