Kebo Fu

982 citations
4 papers · 701 · 1 hit paper · h-index 2

Impact in

Papers in

Journals
Proceedings of the VLDB Endowment (1 paper)Ktisis at Cyprus University of Technology (Cyprus University of Technology) (1 paper)
Partner nations
ChinaCyprusUnited States

In The Last Decade

Kebo Fu

3 papers receiving 686 citations

Kebo Fu's Hit Papers

Pattern Recognition and Machine Learning 1971 · 697 citations
6970+18+36Years since publication200400600

Peers

Kebo Fu
Comparison fields: 5 of 111
  • Artificial Intelligence 229
  • Computer Vision and Pattern Recognition 144
  • Signal Processing 74
  • Control and Systems Engineering 102
  • Computer Networks and Communications 78
Replace M. Arif Wani with:
M. Arif Wani India
Seyed Hamid Zahiri Iran
Dawei Zhan China
Cheng‐Yuan Liou Taiwan
Mohammad Taghi Manzuri Iran
Bowen Du China
Joaquin Sitte Australia
Ioan-Daniel Borlea Romania
Kebo Fu relative to M. Arif Wani India M. Arif Wani's profile →
Citations per field
00.5×2.6×
M. Arif Wani · 1×
Citations per year

Countries citing papers authored by Kebo Fu

Since Specialization
Citations

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

Fields of papers citing papers by Kebo Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 4 scholars most cited alongside Kebo 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 Kebo Fu Line = papers co-authored together Kebo Fu links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown
#Work
1
Pattern Recognition and Machine Learning
Hit paper breakdown →
1971697
2
A novel recognition approach for radar emitter signals based on on-line independent support vector machines
20133
3 20231
4 20240

About Kebo Fu

Kebo Fu is a scholar working on Computer Networks and Communications, General Health Professions, Hardware and Architecture, Artificial Intelligence and Philosophy, having authored 4 papers that have together received 701 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (2 papers), Data Stream Mining Techniques (1 paper), Hermeneutics and Narrative Identity (1 paper), Parallel Computing and Optimization Techniques (1 paper), Caching and Content Delivery (1 paper), Health, Medicine and Society (1 paper), Advanced Memory and Neural Computing (1 paper) and Aging, Elder Care, and Social Issues (1 paper). The work is most often cited by research in Artificial Intelligence (229 citations), Computer Vision and Pattern Recognition (144 citations), Signal Processing (74 citations), Control and Systems Engineering (102 citations) and Computer Networks and Communications (78 citations). Kebo Fu has collaborated with scholars based in China, Cyprus and United States. Frequent co-authors include W. Jin, Xiaoyan Huang, Jun Shen and Herodotos Herodotou. Their work appears in journals such as Proceedings of the VLDB Endowment and Ktisis at Cyprus University of Technology (Cyprus University of Technology).

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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