Kaiming Fu

733 citations
23 papers · 390 indexed · h-index 9
Topics
Neural Networks and Applications (4 papers)Industrial Vision Systems and Defect Detection (4 papers)Remote-Sensing Image Classification (3 papers)
Partner nations
United StatesChina

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 Robert E. Banfield with:
Robert E. Banfield United States
Soraya Rana United States
Robert W. Gunderson United States
Eric Chen-Kuo Tsao United States
K.H. Chan United States
Minyoung Kim South Korea
Hsuan-Ming Feng Taiwan
W. Ahmed United States
Ning Ma China
Kaiming Fu relative to Robert E. Banfield United States Robert E. Banfield's profile →
Citations per field
00.5×3.8×
Robert E. Banfield · 1×
Citations per year

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
#WorkIndexed 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

About Kaiming Fu

Kaiming Fu is a scholar working on Media Technology, Industrial and Manufacturing Engineering and Computer Vision and Pattern Recognition, having authored 23 papers that have together received 390 indexed citations. Recurring topics across this work include Neural Networks and Applications (4 papers), Industrial Vision Systems and Defect Detection (4 papers) and Remote-Sensing Image Classification (3 papers). The work is most often cited by research in Media Technology (69 citations), Artificial Intelligence (160 citations) and Computer Vision and Pattern Recognition (91 citations). Kaiming Fu has collaborated with scholars based in United States and China. Frequent 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. Their work appears in journals such as IEEE Transactions on Automatic Control, Proceedings of the IEEE and Sensors.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026