Terence Chen

1.3k citations
11 papers · 232 · h-index 9

Impact in

Papers in

Terence Chen

11 papers receiving 218 citations

Peers

Terence Chen
Comparison fields: 5 of 42
  • Information Systems 82
  • Signal Processing 35
  • Artificial Intelligence 105
  • Computer Networks and Communications 63
  • Computer Science Applications 9
Replace Sudha Subramani with:
Sudha Subramani Australia
Raza Ul Mustafa Brazil
Shubham Atreja United States
Robin Aly Netherlands
Md Musfique Anwar Bangladesh
Luke Dickens United Kingdom
Ryan Compton United States
Valerio La Gatta Italy
Bing He United States
Ming Dong China
Terence Chen relative to Sudha Subramani Australia Sudha Subramani's profile →
Citations per field
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Citations per year

Countries citing papers authored by Terence Chen

Since Specialization
Citations

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

Fields of papers citing papers by Terence Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 201449
2 201434
3 200929
4 201326
5 201821
6 201318
7 201318
8 201417
9 201416
10 20213
11
Censorship in the Wild: Analyzing Web Filtering in Syria.
20141

About Terence Chen

Terence Chen is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Statistical and Nonlinear Physics and Signal Processing, having authored 11 papers that have together received 232 indexed citations. Recurring topics across this work include Internet Traffic Analysis and Secure E-voting (3 papers), Network Security and Intrusion Detection (3 papers), Recommender Systems and Techniques (2 papers), Privacy-Preserving Technologies in Data (2 papers), Mobile Crowdsensing and Crowdsourcing (2 papers), Advanced Graph Neural Networks (2 papers), Complex Network Analysis Techniques (2 papers) and Advanced Malware Detection Techniques (2 papers). The work is most often cited by research in Information Systems (82 citations), Signal Processing (35 citations), Artificial Intelligence (105 citations), Computer Networks and Communications (63 citations) and Computer Science Applications (9 citations). Terence Chen has collaborated with scholars based in Australia, France and United States. Frequent co-authors include Mohamed Ali Kâafar, Roksana Boreli, Abdelberi Chaabane, Arik Friedman, Olivier Mehani, Imdad Ullah, Emiliano De Cristofaro, Tsvi Kuflik, Shlomo Berkovsky and Mathieu Cunche. Their work appears in journals such as JACC. Cardiovascular imaging, Academic Medicine, Lecture notes in computer science, Proceedings of the International AAAI Conference on Web and Social Media and arXiv (Cornell University).

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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