Chuanpu Fu

487 citations
10 papers · 274 · h-index 6

Impact in

Papers in

    • Network Security and Intrusion Detection 8
    • Software System Performance and Reliability 1
    • Internet Traffic Analysis and Secure E-voting 6
    • Anomaly Detection Techniques and Applications 3
    • Adversarial Robustness in Machine Learning 1
    • Cryptography and Data Security 1
Journals
IEEE/ACM Transactions on Networking (3 papers)IEEE Transactions on Networking (2 papers)arXiv (Cornell University) (1 paper)
Partner nations
ChinaUnited States

In The Last Decade

Chuanpu Fu

8 papers receiving 272 citations

Peers

Chuanpu Fu
Comparison fields: 5 of 19
  • Computer Networks and Communications 239
  • Signal Processing 100
  • Artificial Intelligence 207
  • Hardware and Architecture 9
  • Computer Vision and Pattern Recognition 22
Replace Tal Shapira with:
Tal Shapira Israel
Tomáš Jirsík Czechia
Houda Jmila France
Petr Velan Czechia
Masashi Eto Japan
Xinjie Lin China
Tianning Zang China
Jeman Park United States
Daniele Midi United States
Martin Drašar Czechia
Chuanpu Fu relative to Tal Shapira Israel Tal Shapira's profile →
Citations per field
00.5×3.5×
Tal Shapira · 1×
Citations per year

Countries citing papers authored by Chuanpu Fu

Since Specialization
Citations

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

Fields of papers citing papers by Chuanpu Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 5 scholars most cited alongside Chuanpu 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 Chuanpu Fu Line = papers co-authored together Chuanpu Fu links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2021136
2 202355
3 202236
4 202318
5 202112
6 202412
7 20244
8 20251
9 20250
10 20250

About Chuanpu Fu

Chuanpu Fu is a scholar working on Computer Networks and Communications, Artificial Intelligence, Signal Processing, Statistical and Nonlinear Physics and Infectious Diseases, having authored 10 papers that have together received 274 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (8 papers), Internet Traffic Analysis and Secure E-voting (6 papers), Advanced Malware Detection Techniques (6 papers), Anomaly Detection Techniques and Applications (3 papers), Software System Performance and Reliability (1 paper), Complex Network Analysis Techniques (1 paper), Adversarial Robustness in Machine Learning (1 paper) and Cryptography and Data Security (1 paper). The work is most often cited by research in Computer Networks and Communications (239 citations), Signal Processing (100 citations), Artificial Intelligence (207 citations), Hardware and Architecture (9 citations) and Computer Vision and Pattern Recognition (22 citations). Chuanpu Fu has collaborated with scholars based in China and United States. Frequent co-authors include Ke Xu, Qi Li, Meng Shen, Kun Sun and Songsong Xu. Their work appears in journals such as IEEE/ACM Transactions on Networking, IEEE Transactions on Networking and arXiv (Cornell University).

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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