Kaiming Fu

733 total citations
23 papers, 390 citations indexed

About

Kaiming Fu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Media Technology. According to data from OpenAlex, Kaiming Fu has authored 23 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Media Technology. Recurrent topics in Kaiming Fu's work include Neural Networks and Applications (4 papers), Industrial Vision Systems and Defect Detection (4 papers) and Remote-Sensing Image Classification (3 papers). Kaiming Fu is often cited by papers focused on Neural Networks and Applications (4 papers), Industrial Vision Systems and Defect Detection (4 papers) and Remote-Sensing Image Classification (3 papers). Kaiming Fu collaborates with scholars based in United States and China. Kaiming Fu's co-authors include D. A. Landgrebe, T. L. Phillips, G.N. Saridis, J.A.B. Fortes, Benjamin W. Wah, Brian N. Bailey, S. Y. Lu, E. Persoon, Stavros Vougioukas and Kenneth A. Shackel and has published in prestigious journals such as IEEE Transactions on Automatic Control, Proceedings of the IEEE and Sensors.

In The Last Decade

Kaiming Fu

19 papers receiving 352 citations

Peers

Kaiming Fu
Comparison fields: 5 of 71
  • Artificial Intelligence 160
  • Computer Vision and Pattern Recognition 91
  • Control and Systems Engineering 78
  • Media Technology 69
  • Ecology 46
Replace Xinmin Zhou with:
Xinmin Zhou China
Mohammed Ouali Algeria
Hao Dong China
Haojin Li China
Yu Guan China
William B. Yates United Kingdom
Robert E. Banfield United States
Songfeng Zheng United States
Seyyid Ahmed Medjahed Algeria
Tamazouzt Ait Saadi Algeria
Xinmin Zhou China View profile →
Citations per field, relative to Kaiming Fu
Kaiming Fu · 1×
Citations per year, relative to Kaiming Fu
Kaiming Fu · 1×

Countries citing papers authored by Kaiming Fu

Since Specialization
Citations

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

Fields of papers citing papers by Kaiming Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaiming Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Kaiming Fu. A scholar is included among the top collaborators of Kaiming 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 Kaiming Fu. Kaiming Fu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 4
4 3
5 2
6 6
7
Systematic design approaches for algorithmically specified systolic arrays
22
8 9
9 8
10 34
11 14
12
Error-Correcting Syntax Analysis for Tree Languages.
1
13 2
14 29
15 0
16 67
17 34
18 42
19 6
20 100

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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