Tom Chen

5.5k citations
248 papers · 3.9k · 1 hit paper · h-index 32

Impact in

Papers in

Tom Chen

231 papers receiving 3.7k citations

Tom Chen's Hit Papers

Lessons from Stuxnet 2011 · 313 citations
3130+5+10Years since publication100200300

Peers

Tom Chen
Comparison fields: 5 of 178
  • Computer Networks and Communications 1.8k
  • Signal Processing 769
  • Software 185
  • Information Systems 825
  • Control and Systems Engineering 604
Replace Stephen F. Smith with:
Stephen F. Smith United States
Ting Chen China
Dong Hoon Lee South Korea
Yuling chen China
Jianhua Li China
Songqing Chen United States
David Hutchison United Kingdom
Thomas Engel Luxembourg
Weizhe ZHANG China
Peng Liu United States
Tom Chen relative to Stephen F. Smith United States Stephen F. Smith's profile →
Citations per field
00.5×2×3×4.2×
Stephen F. Smith · 1×
Citations per year

Countries citing papers authored by Tom Chen

Since Specialization
Citations

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

Fields of papers citing papers by Tom Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 248 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Lessons from Stuxnet
Hit paper breakdown →
2011313
2 2011215
3 2017188
4 2005137
5 2010129
6 2016118
7 2019105
8 2010105
9 2014102
10 201697
11 202083
12 201069
13 200769
14 199957
15 199656
16 200255
17 201155
18 198954
19 199752
20 202250

About Tom Chen

Tom Chen is a scholar working on Computer Networks and Communications, Signal Processing, Information Systems, Hardware and Architecture and Artificial Intelligence, having authored 248 papers that have together received 3.9k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (47 papers), Advanced Malware Detection Techniques (41 papers), Network Traffic and Congestion Control (16 papers), Internet Traffic Analysis and Secure E-voting (15 papers), Low-power high-performance VLSI design (13 papers), Software Testing and Debugging Techniques (10 papers), VLSI and Analog Circuit Testing (10 papers) and Analytical Chemistry and Sensors (10 papers). The work is most often cited by research in Computer Networks and Communications (1.8k citations), Signal Processing (769 citations), Software (185 citations), Information Systems (825 citations) and Control and Systems Engineering (604 citations). Tom Chen has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Mohamed Chahine Ghanem, John Buford, Juan Carlos Sánchez-Aarnoutse, Jorge Blasco, Yogachandran Rahulamathavan, Muttukrishnan Rajarajan, Mauro Conti, David G. Messerschmitt, Juan Tapiador and Pedro Peris Lopez. Their work appears in journals such as IEEE Network, IEEE Communications Magazine, Computer, Biosensors and Bioelectronics and IEEE Access.

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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