Kui Fu

841 total citations
19 papers, 516 citations indexed

About

Kui Fu is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Kui Fu has authored 19 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Control and Systems Engineering, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Artificial Intelligence. Recurrent topics in Kui Fu's work include Target Tracking and Data Fusion in Sensor Networks (5 papers), Robot Manipulation and Learning (3 papers) and Advanced Vision and Imaging (3 papers). Kui Fu is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (5 papers), Robot Manipulation and Learning (3 papers) and Advanced Vision and Imaging (3 papers). Kui Fu collaborates with scholars based in China, Australia and South Korea. Kui Fu's co-authors include Jiansheng Peng, Xuanju Dang, Zhong-Liang Tang, Xiaoliang Wang, Hanxiao Zhang, Wei He, Frank Jiang, Gao Lin, You Zhang and Yugang Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and IEEE Transactions on Industrial Informatics.

In The Last Decade

Kui Fu

17 papers receiving 487 citations

Peers

Kui Fu
Comparison fields: 5 of 77
  • Artificial Intelligence 287
  • Control and Systems Engineering 240
  • Computer Vision and Pattern Recognition 92
  • Aerospace Engineering 90
  • Computer Networks and Communications 51
Replace Junyi Zuo with:
Junyi Zuo China
Chao Lu China
Jiye Qian China
Shigemi Nagata Japan
Bogdan Savchynskyy Germany
Yingchao Xiao China
Weidong Ding Australia
Gongjian Zhou China
Frederick Tung Canada
Junyi Zuo China View profile →
Citations per field, relative to Kui Fu
Kui Fu · 1×
Citations per year, relative to Kui Fu
Kui Fu · 1×

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-authorship network of co-authors of Kui Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Kui Fu. A scholar is included among the top collaborators of Kui Fu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kui Fu. Kui Fu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
# Work Indexed citations
1 3
2 9
3 5
4 14
5 3
6 0
7 3
8 76
9 25
10 6
11 16
12 0
13
[Comparison of precision in retrieving soybean leaf area index based on multi-source remote sensing data].
5
14 4
15 1
16 3
17 3
18 1
19 339

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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