Zan Zhou

526 citations
43 papers · 307 · h-index 11

Impact in

Papers in

    • Privacy-Preserving Technologies in Data 9
    • Cryptography and Data Security 5
    • Adversarial Robustness in Machine Learning 5
    • Internet Traffic Analysis and Secure E-voting 5
    • Network Security and Intrusion Detection 9
    • Software-Defined Networks and 5G 4

Zan Zhou

35 papers receiving 295 citations

Peers

Zan Zhou
Comparison fields: 5 of 95
  • Computer Networks and Communications 114
  • Sensory Systems 16
  • Artificial Intelligence 104
  • Signal Processing 33
  • Neurology 21
Replace Fahad Alqurashi with:
Fahad Alqurashi Saudi Arabia
Xiaofeng Zhao China
Amani A. Alneil Saudi Arabia
Atifa Athar Pakistan
Eunmok Yang South Korea
Summrina Kanwal Saudi Arabia
T Devi. India
Nagat Drawel Canada
Weida Zhong United States
Zan Zhou relative to Fahad Alqurashi Saudi Arabia Fahad Alqurashi's profile →
Citations per field
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Fahad Alqurashi · 1×
Citations per year

Countries citing papers authored by Zan Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Zan Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Zan 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 Zan Zhou Line = papers co-authored together Zan Zhou links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202033
2 202027
3 202326
4 202120
5 202219
6 202418
7 201916
8 201915
9 202415
10 201713
11 201912
12 20179
13 20218
14 20236
15 20196
16 20246
17 20225
18 20235
19 20195
20 20245

About Zan Zhou

Zan Zhou is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Electrical and Electronic Engineering and Signal Processing, having authored 43 papers that have together received 307 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (9 papers), Network Security and Intrusion Detection (9 papers), Cryptography and Data Security (5 papers), Adversarial Robustness in Machine Learning (5 papers), Advanced Malware Detection Techniques (5 papers), Internet Traffic Analysis and Secure E-voting (5 papers), Vehicular Ad Hoc Networks (VANETs) (5 papers) and Software-Defined Networks and 5G (4 papers). The work is most often cited by research in Computer Networks and Communications (114 citations), Sensory Systems (16 citations), Artificial Intelligence (104 citations), Signal Processing (33 citations) and Neurology (21 citations). Zan Zhou has collaborated with scholars based in China, Australia and Ireland. Frequent co-authors include Changqiao Xu, Xiaohui Kuang, Tao Zhang, Shujie Yang, Lujie Zhong, Feng Ding, Shui Yu, Wenjun Jiang, Limin Sun and Li Li. Their work appears in journals such as IEEE Internet of Things Journal, Biochemical and Biophysical Research Communications, IEEE Transactions on Dependable and Secure Computing, The Science of The Total Environment and Journal of Inflammation Research.

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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