Zane Ma

1.7k citations
13 papers · 1.1k · 1 hit paper · h-index 9

Impact in

Papers in

Zane Ma

13 papers receiving 1.1k citations

Zane Ma's Hit Papers

Understanding the mirai botnet 2017 · 747 citations
7470+3+6Years since publication200400600

Peers

Zane Ma
Comparison fields: 5 of 58
  • Signal Processing 608
  • Computer Networks and Communications 835
  • Artificial Intelligence 607
  • Information Systems 391
  • Hardware and Architecture 53
Replace Michalis Kallitsis with:
Michalis Kallitsis United States
David Adrian United States
Natalia Stakhanova Canada
Nick Sullivan Australia
Dimitris Geneiatakis Greece
Andreas Wespi Switzerland
Vipin Swarup United States
Pavol Zavarsky Canada
Makan Pourzandi Canada
Prahlad Fogla United States
Zane Ma relative to Michalis Kallitsis United States Michalis Kallitsis's profile →
Citations per field
00.5×1.7×
Michalis Kallitsis · 1×
Citations per year

Countries citing papers authored by Zane Ma

Since Specialization
Citations

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

Fields of papers citing papers by Zane Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1
Understanding the mirai botnet
Hit paper breakdown →
2017747
2 201890
3 201779
4 201678
5 201963
6 201733
7 202021
8 202117
9 20219
10 20244
11 20223
12
The impact of secure transport protocols on phishing efficacy
20192
13 20231

About Zane Ma

Zane Ma is a scholar working on Signal Processing, Computer Networks and Communications, Information Systems, Artificial Intelligence and Control and Systems Engineering, having authored 13 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (10 papers), Network Security and Intrusion Detection (6 papers), Internet Traffic Analysis and Secure E-voting (5 papers), Spam and Phishing Detection (4 papers), Caching and Content Delivery (2 papers), Web Application Security Vulnerabilities (2 papers), IPv6, Mobility, Handover, Networks, Security (1 paper) and Web Data Mining and Analysis (1 paper). The work is most often cited by research in Signal Processing (608 citations), Computer Networks and Communications (835 citations), Artificial Intelligence (607 citations), Information Systems (391 citations) and Hardware and Architecture (53 citations). Zane Ma has collaborated with scholars based in United States. Frequent co-authors include Michael Bailey, Joshua Mason, Zakir Durumeric, J. Alex Halderman, Nick Sullivan, Elie Bursztein, Manos Antonakakis, Deepak Kumar, Luca Invernizzi and Yi Zhou. Their work appears in journals such as USENIX Security Symposium.

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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