Eric Chan‐Tin

822 citations
41 papers · 458 · h-index 11

Impact in

Papers in

Eric Chan‐Tin

35 papers receiving 428 citations

Peers

Eric Chan‐Tin
Comparison fields: 5 of 45
  • Computer Networks and Communications 302
  • Signal Processing 103
  • Artificial Intelligence 277
  • Information Systems 155
  • Computer Vision and Pattern Recognition 34
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Mobin Javed United States
Angela Orebaugh United States
Gaopeng Jian China
David A. Solomon
Yongzhong He China
Christoffer Dall United States
Steven Levi United States
Paarijaat Aditya United States
Tamleek Ali Pakistan
Thomas Hupperich Germany
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Citations per field
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Citations per year

Countries citing papers authored by Eric Chan‐Tin

Since Specialization
Citations

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

Fields of papers citing papers by Eric Chan‐Tin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric Chan‐Tin. 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 Eric Chan‐Tin. The network helps show where Eric Chan‐Tin may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201087
2 200745
3 202042
4 200942
5 200833
6 201123
7 201923
8 200919
9 201316
10 201612
11 201810
12
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201110
13 201310
14 20159
15 20188
16 20208
17 20096
18 20146
19 20236
20 20185

About Eric Chan‐Tin

Eric Chan‐Tin is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Signal Processing and Sociology and Political Science, having authored 41 papers that have together received 458 indexed citations. Recurring topics across this work include Internet Traffic Analysis and Secure E-voting (18 papers), Peer-to-Peer Network Technologies (11 papers), Network Security and Intrusion Detection (11 papers), Caching and Content Delivery (9 papers), Spam and Phishing Detection (8 papers), Advanced Malware Detection Techniques (8 papers), User Authentication and Security Systems (5 papers) and Privacy, Security, and Data Protection (5 papers). The work is most often cited by research in Computer Networks and Communications (302 citations), Signal Processing (103 citations), Artificial Intelligence (277 citations), Information Systems (155 citations) and Computer Vision and Pattern Recognition (34 citations). Eric Chan‐Tin has collaborated with scholars based in United States and South Korea. Frequent co-authors include Nicholas Hopper, Eugene Y. Vasserman, Shelia M. Kennison, Yongdae Kim, Denis Foo Kune, Victor Heorhiadi, Peng Wang, David Dagon, Brent Byunghoon Kang and Christopher P. Lee. Their work appears in journals such as ACM Transactions on Information and System Security, Frontiers in Psychology, IET Information Security, IEEE Transactions on Dependable and Secure Computing and Victims & Offenders.

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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