Kui Fu

874 citations
20 papers · 579 · h-index 6

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

19 papers receiving 543 citations

Peers

Kui Fu
Comparison fields: 5 of 79
  • Control and Systems Engineering 260
  • Artificial Intelligence 305
  • Geology 26
  • Computer Vision and Pattern Recognition 101
  • Aerospace Engineering 98
Replace Soo Hee Han with:
Soo Hee Han South Korea
Vasileios Mygdalis Greece
Huaiyu Wu China
Jiye Qian China
Bogdan Savchynskyy Germany
Daniel M. Gaines United States
Yuan Zeng China
Yue Shen China
Peng Chang China
Mattia Segù Switzerland
Kui Fu relative to Soo Hee Han South Korea Soo Hee Han's profile →
Citations per field
00.5×2×4×6×8×
Soo Hee Han · 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

20 of 20 papers shown
#Work
1 1970373
2 202089
3 202025
4 202419
5 201717
6 202412
7
[Comparison of precision in retrieving soybean leaf area index based on multi-source remote sensing data].
20166
8 20176
9 20246
10 20245
11 20154
12 20134
13 20143
14 20223
15 20243
16 20121
17 20151
18 20161
19 20251
20 20230

About Kui Fu

Kui Fu is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Aerospace Engineering, Artificial Intelligence and Atmospheric Science, having authored 20 papers that have together received 579 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (5 papers), Remote Sensing and Land Use (3 papers), Advanced Vision and Imaging (3 papers), Inertial Sensor and Navigation (3 papers), Robot Manipulation and Learning (3 papers), GNSS positioning and interference (2 papers), Advanced Image Processing Techniques (2 papers) and Remote Sensing in Agriculture (2 papers). The work is most often cited by research in Control and Systems Engineering (260 citations), Artificial Intelligence (305 citations), Geology (26 citations), Computer Vision and Pattern Recognition (101 citations) and Aerospace Engineering (98 citations). Kui Fu has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Jiansheng Peng, Xuanju Dang, Hanxiao Zhang, Zhong-Liang Tang, Wei He, Frank Jiang, Xiaoliang Wang, Rongrong Li, You Zhang and Lei Wang. Their work appears in journals such as IEEE Transactions on Industrial Informatics, BMC Pregnancy and Childbirth, Computational Visual Media, Computers, materials & continua/Computers, materials & continua (Print) and IEEE Transactions on Automatic Control.

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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