Eric Chan‐Tin
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- Peer-to-Peer Network Technologies 11
- Network Security and Intrusion Detection 11
- Caching and Content Delivery 9
- Signal Processing top 10%
- Advanced Malware Detection Techniques 8
- Artificial Intelligence top 5%
- Internet Traffic Analysis and Secure E-voting 18
- Information Systems top 5%
- Spam and Phishing Detection 8
- User Authentication and Security Systems 5
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- Privacy, Security, and Data Protection 5
- Co-authors
- Nicholas HopperEugene Y. VassermanShelia M. KennisonYongdae KimVictor HeorhiadiDenis Foo KunePeng WangDavid Dagon
- Journals
- IET Information Security (2 papers)Frontiers in Psychology (2 papers)ACM Transactions on Information and System Security (2 papers)
- Partner nations
- United StatesSouth Korea
In The Last Decade
Eric Chan‐Tin
34 papers receiving 424 citations
Peers
Comparison fields: 5 of 45
- Computer Networks and Communications 303
- Signal Processing 101
- Artificial Intelligence 278
- Information Systems 152
- Computer Vision and Pattern Recognition 35
Countries citing papers authored by Eric Chan‐Tin
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 0 | |
| 7 | 2022 | 3 | |
| 8 | 2022 | 3 | |
| 9 | Realistic Website Fingerprinting Attacks | 2020 | 1 |
| 10 | 2020 | 41 | |
| 11 | 2018 | 5 | |
| 12 | 2016 | 12 | |
| 13 | 2015 | 1 | |
| 14 | 2015 | 9 | |
| 15 | 2013 | 16 | |
| 16 | 2012 | 1 | |
| 17 | 2011 | 23 | |
| 18 | Accurate and Provably Secure Latency Estimation with Treeple. | 2011 | 10 |
| 19 | 2009 | 6 | |
| 20 | 2009 | 19 |
About Eric Chan‐Tin
Eric Chan‐Tin is a scholar working on Computer Networks and Communications, Signal Processing, Artificial Intelligence, Information Systems and Human-Computer Interaction, having authored 40 papers that have together received 455 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), Privacy, Security, and Data Protection (5 papers) and User Authentication and Security Systems (5 papers). The work is most often cited by research in Computer Networks and Communications (303 citations), Signal Processing (101 citations), Artificial Intelligence (278 citations), Information Systems (152 citations) and Computer Vision and Pattern Recognition (35 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, Victor Heorhiadi, Denis Foo Kune, Peng Wang, David Dagon, Brent Byunghoon Kang and Johnson P. Thomas. Their work appears in journals such as IET Information Security, Frontiers in Psychology, ACM Transactions on Information and System Security, IEEE Transactions on Reliability and IEEE Transactions on Dependable and Secure Computing.
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.