World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
7217
World Ranking
9267
National Ranking
575

Overview

What is he best known for?

The fields of study he is best known for:

  • Computer network
  • Operating system
  • The Internet

Computer network, Computer security, Quality of service, Distributed computing and The Internet are his primary areas of study. Thomas M. Chen incorporates Computer network and Application layer in his research. His work in the fields of Malware and Stuxnet overlaps with other areas such as Critical threshold.

Thomas M. Chen interconnects Ensemble learning and Internet privacy in the investigation of issues within Malware. His Quality of service research is multidisciplinary, incorporating elements of Virtual circuit, Dedicated short-range communications, Broadband, Asynchronous Transfer Mode and IEEE 802.11. His Distributed computing research incorporates themes from Electric power transmission and Cyber-physical system.

His most cited work include:

  • Lessons from Stuxnet (217 citations)
  • Method and apparatus for performance monitoring in electronic communications networks (204 citations)
  • Petri Net Modeling of Cyber-Physical Attacks on Smart Grid (175 citations)

What are the main themes of his work throughout his whole career to date?

Thomas M. Chen mainly focuses on Electronic engineering, Computer security, CMOS, Computer network and Electrical engineering. His work carried out in the field of Electronic engineering brings together such families of science as Electronic circuit, Amplifier and Integrated circuit. His Malware study, which is part of a larger body of work in Computer security, is frequently linked to Collusion, bridging the gap between disciplines.

His CMOS research includes themes of Integrated circuit design and Photodetector. His work deals with themes such as Real-time computing and Distributed computing, which intersect with Computer network.

He most often published in these fields:

  • Electronic engineering (16.08%)
  • Computer security (13.62%)
  • CMOS (13.35%)

What were the highlights of his more recent work (between 2014-2021)?

  • Computer security (13.62%)
  • Collusion (2.18%)
  • Android (2.18%)

In recent papers he was focusing on the following fields of study:

Thomas M. Chen focuses on Computer security, Collusion, Android, Malware and Electrical engineering. The Computer security study combines topics in areas such as Software and Mobile computing. Thomas M. Chen performs integrative study on Malware and Covert in his works.

His Electrical engineering study frequently involves adjacent topics like Electronic engineering. His biological study spans a wide range of topics, including Single sign-on and OpenID Connect. The various areas that Thomas M. Chen examines in his Phase-locked loop study include Radio frequency power transmission, Amplifier, Phase-shift keying, Transmitter power output and Process variation.

Between 2014 and 2021, his most popular works were:

  • A Survey of Wearable Biometric Recognition Systems (79 citations)
  • PIndroid: A novel Android malware detection system using ensemble learning methods (73 citations)
  • Introduction to the Special Issue: Terrorist Online Propaganda and Radicalization (39 citations)

In his most recent research, the most cited papers focused on:

  • Computer network
  • Operating system
  • The Internet

His primary areas of investigation include Computer security, Malware, Collusion, Authentication and OpenID Connect. His biological study focuses on Access control. His studies in Malware integrate themes in fields like Signature and Mobile device.

The concepts of his Authentication study are interwoven with issues in Biometrics, Human–computer interaction, Wearable technology, Signal processing and Popularity. In his study, Cross-site request forgery and Server is inextricably linked to Login, which falls within the broad field of OpenID Connect. His Encryption study contributes to a more complete understanding of Computer network.

Best Publications

  • Lessons from Stuxnet

    T M Chen;S Abu-Nimeh

  • Petri Net Modeling of Cyber-Physical Attacks on Smart Grid

    T. M. Chen;Juan Carlos Sanchez-Aarnoutse;John Buford

  • Performance monitoring of an atm switch

    Thomas M. Chen;Stephen S. Liu

  • Comparison of adaptive body bias (ABB) and adaptive supply voltage (ASV) for improving delay and leakage under the presence of process variation

    T. Chen;S. Naffziger

  • PIndroid: A novel Android malware detection system using ensemble learning methods

    Fauzia Idrees;Muttukrishnan Rajarajan;Mauro Conti;Thomas M. Chen

  • Stuxnet, the real start of cyber warfare? [Editor's Note]

    Thomas M. Chen

  • Dempster-Shafer theory for intrusion detection in ad hoc networks

    T.M. Chen;V. Venkataramanan

  • A Survey of Wearable Biometric Recognition Systems

    Jorge Blasco;Thomas M. Chen;Juan Tapiador;Pedro Peris-Lopez

  • Smart grids, smart cities need better networks [Editor's Note]

    Thomas M. Chen

  • Connecting the STEM dots: measuring the effect of an integrated engineering design intervention

    Paul R. Hernandez;Ralph Bodin;Jonathan W. Elliott;Badaruddin Ibrahim

  • The available bit rate service for data in ATM networks

    T.M. Chen;S.S. Liu;V.K. Samalam

  • Reliable services in MPLS

    T.M. Chen;T.H. Oh

  • ATM Switching Systems

    Thomas M. Chen;Stephen S. Liu

  • Commentaries on "Active networking and end-to-end arguments"

    T.M. Chen;A.W. Jackson

  • Dynamic priority protocols for packet voice

    T.M. Chen;J. Walrand;D.G. Messerschmitt

  • Introduction to the Special Issue: Terrorist Online Propaganda and Radicalization

    Anne Aly;Stuart Macdonald;Lee Jarvis;Thomas M. Chen

  • Reinforcement learning for efficient network penetration testing

    Mohamed C. Ghanem;Thomas M. Chen

  • A Distributed Consensus Algorithm for Decision Making in Service-Oriented Internet of Things

    Shancang Li;George Oikonomou;Theo Tryfonas;Thomas M. Chen

  • A sensitive DNA capacitive biosensor using interdigitated electrodes.

    Lei Wang;Milena Veselinovic;Lang Yang;Brian J. Geiss

  • Adaptive congestion control for DSRC vehicle networks

    Jianhua He;Hsiao-Hwa Chen;T.M. Chen;Wenqing Cheng

  • Dempster-shafer theory for intrusion detection in Ad hoc networks : Ah hoc and P2P security

    Thomas M. Chen;Varadharajan Venkataramanan

Frequent Co-Authors

Kevin L. Lear
Kevin L. Lear Colorado State University
Charles W. Anderson
Charles W. Anderson Colorado State University
Anthony A. Maciejewski
Anthony A. Maciejewski Colorado State University
Stuart A. Tobet
Stuart A. Tobet Colorado State University
Muttukrishnan Rajarajan
Muttukrishnan Rajarajan City, University of London
Jinsang Kim
Jinsang Kim University of Michigan–Ann Arbor
Joan Garcia-Haro
Joan Garcia-Haro Polytechnic University of Cartagena
David G. Messerschmitt
David G. Messerschmitt University of California, Berkeley
Shancang Li
Shancang Li University of the West of England
Nirwan Ansari
Nirwan Ansari New Jersey Institute of Technology

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring the right educational pathway is key for anyone interested in studying Computer Science in the USA. One of the first questions many students ask is, what masters program should i do? Selecting a program that aligns with your career goals and the latest industry needs can make a significant difference in both job opportunities and earning potential.

For those seeking flexibility or a faster start, online associate degree programs offer foundational skills and can open doors to entry-level positions or further studies. Cost is also a major concern for many students. Looking for cheap online college classes can help lower your overall education expenses without sacrificing quality.

If you’re worried about past academic performance, there are online graduate programs that accept 2.0 gpa, making further education accessible for a broader range of students. Whichever path you choose, online programs offer flexibility and access to in-demand fields, creating more opportunities for future success in technology careers.

Best Scientists Citing Thomas M. Chen

Trending Scientists