Chenfeng Zhou

594 citations
13 papers · 485 · h-index 7

Impact in

Papers in

Chenfeng Zhou

13 papers receiving 445 citations

Peers

Chenfeng Zhou
Comparison fields: 5 of 40
  • Signal Processing 237
  • Computer Networks and Communications 433
  • Artificial Intelligence 259
  • Information Systems 148
  • Hardware and Architecture 32
Replace Jungsuk Song with:
Jungsuk Song South Korea
Matthew Dunlop United States
K. Munivara Prasad India
Rui Zhuang United States
Amine Boukhtouta Canada
Johan Mazel France
Masashi Eto Japan
Morteza Safaei Pour United States
Cristian Morariu Switzerland
David Bigelow United States
Chenfeng Zhou relative to Jungsuk Song South Korea Jungsuk Song's profile →
Citations per field
00.5×1.5×
Jungsuk Song · 1×
Citations per year

Countries citing papers authored by Chenfeng Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Chenfeng Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Chenfeng Zhou, 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 Chenfeng Zhou Line = papers co-authored together Chenfeng Zhou links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2009297
2 200965
3 200743
4 200925
5 200918
6 200816
7 20086
8 20225
9 20093
10 20103
11 20132
12 20101
13 20121

About Chenfeng Zhou

Chenfeng Zhou is a scholar working on Computer Networks and Communications, Artificial Intelligence, Signal Processing, Information Systems and Pollution, having authored 13 papers that have together received 485 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (12 papers), Internet Traffic Analysis and Secure E-voting (11 papers), Advanced Malware Detection Techniques (5 papers), Spam and Phishing Detection (3 papers), Network Traffic and Congestion Control (2 papers), Thermochemical Biomass Conversion Processes (1 paper), Microplastics and Plastic Pollution (1 paper) and Complex Network Analysis Techniques (1 paper). The work is most often cited by research in Signal Processing (237 citations), Computer Networks and Communications (433 citations), Artificial Intelligence (259 citations), Information Systems (148 citations) and Hardware and Architecture (32 citations). Chenfeng Zhou has collaborated with scholars based in Australia and China. Frequent co-authors include Christopher Leckie, Shanika Karunasekera, Kotagiri Ramamohanarao, Tao Peng, Xin Wan, Haoxi Ben, Zhigang Xia, Guangting Han and Wei Jiang. Their work appears in journals such as Journal of Network and Computer Applications, Computers & Security, IEEE Communications Letters, Journal of Computer and System Sciences and Lecture notes in computer science.

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