World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
6593
World Ranking
12938
National Ranking
5225

Overview

John Chuang is a researcher affiliated with the University of California, Berkeley in the United States. Their work spans multiple fields of study, primarily focusing on Neuroscience and Psychology. Within these domains, their research frequently addresses subfields such as Cognitive Neuroscience, Social Psychology, Automotive Engineering, and Developmental and Educational Psychology.

Their main topics of investigation include Embodied and Extended Cognition, Social Representations and Identity, Neuroethics, Human Enhancement, Biomedical Innovations, Spatial Cognition and Navigation, Child and Animal Learning Development, and Action Observation and Synchronization. They have also contributed to research involving EEG and Brain-Computer Interfaces.

John Chuang has published in a variety of venues. Notably, these include:

  • arXiv (Cornell University)
  • Computer Supported Cooperative Work (CSCW)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

Their recent papers reflect diverse interests and themes within interdisciplinary neuroscience and psychology research:

  • Neural Dynamics of a Single Human with Long-Term, High Temporal Density Electroencephalography, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
  • Social Distancing and Social Biosensing: Intersubjectivity from Afar, 2022, Computer Supported Cooperative Work (CSCW)
  • Active Dynamical Prospection: Modeling Mental Simulation as Particle Filtering for Sensorimotor Control during Pathfinding, 2021, arXiv (Cornell University)
  • Gaze dynamics prior to navigation support hierarchical planning, 2025, bioRxiv (Cold Spring Harbor Laboratory)
  • Judging It, Washing It: Scoring and Greenwashing Corporate Climate Disclosures using Large Language Models, 2025, arXiv (Cornell University)

Collaboration is a significant aspect of their scholarly output. Frequent co-authors include Jeremy Gordon, Max T. Curran, Giovanni Pezzulo, Ming Chuang, and Gabriel Chuang. These partnerships often intersect with research topics involving cognition, psychology, and computational modeling.

Best Publications

  • Robust incentive techniques for peer-to-peer networks

    Michal Feldman;Kevin Lai;Ion Stoica;John Chuang

  • Free-riding and whitewashing in peer-to-peer systems

    M. Feldman;C. Papadimitriou;J. Chuang;I. Stoica

  • Overcoming free-riding behavior in peer-to-peer systems

    Michal Feldman;John Chuang

  • Secure or insure?: a game-theoretic analysis of information security games

    Jens Grossklags;Nicolas Christin;John Chuang

  • Pricing Multicast Communication: A Cost-Based Approach

    John C.-I. Chuang;Marvin A. Sirbu

  • Content availability, pollution and poisoning in file sharing peer-to-peer networks

    Nicolas Christin;Andreas S. Weigend;John Chuang

  • I Think, Therefore I Am: Usability and Security of Authentication Using Brainwaves

    John C.-I. Chuang;Hamilton Nguyen;Charles Wang;Benjamin Johnson

  • Free-riding and whitewashing in peer-to-peer systems

    Michal Feldman;Christos Papadimitriou;John Chuang;Ion Stoica

  • Incentive mechanism for peer-to-peer media streaming

    A. Habib;J. Chuang

  • Resilient Data-Centric Storage in Wireless Ad-Hoc Sensor Networks

    Abhishek Ghose;Jens Grossklags;John Chuang

  • Service differentiated peer selection: an incentive mechanism for peer-to-peer media streaming

    A. Habib;J. Chuang

  • Optimal bundling strategy for digital information goods: network delivery of articles and subscriptions

    John Chung-I Chuang;Marvin A. Sirbu

  • Distributed authentication in Kerberos using public key cryptography

    M.A. Sirbu;J.C.-I. Chuang

  • A case for taxation in peer-to-peer streaming broadcast

    Yang-hua Chu;John Chuang;Hui Zhang

  • Eliciting Values Reflections by Engaging Privacy Futures Using Design Workbooks

    Richmond Y. Wong;Deirdre K. Mulligan;Ellen Van Wyk;James Pierce

  • Quantifying Disincentives in Peer-to-Peer Networks

    Michal Feldman;Kevin Lai;John Chuang;Ion Stoica

  • Optimal pricing of content delivery network (CDN) services

    K. Hosanagar;R. Krishnan;M. Smith;J. Chuang

  • Hidden-action in multi-hop routing

    Michal Feldman;John Chuang;Ion Stoica;Scott Shenker

  • Pricing and Resource Allocation in Caching Services with Multiple Levels of Quality of Service

    Kartik Hosanagar;Ramayya Krishnan;John Chuang;Vidyanand Choudhary

  • Distributed network storage service with quality-of-service guarantees

    John Chung-I Chuang;Marvin A Sirbu

  • Given Enough Eyeballs, All Bugs Are Shallow? Revisiting Eric Raymond with Bug Bounty Programs

    Thomas Maillart;Mingyi Zhao;Jens Grossklags;John Chuang

Frequent Co-Authors

Jens Grossklags
Jens Grossklags Technical University of Munich
Nicolas Christin
Nicolas Christin Carnegie Mellon University
Michal Feldman
Michal Feldman Tel Aviv University
Ramayya Krishnan
Ramayya Krishnan Carnegie Mellon University
Ion Stoica
Ion Stoica University of California, Berkeley
Dongyan Xu
Dongyan Xu Purdue University West Lafayette
Bharat Bhargava
Bharat Bhargava Purdue University West Lafayette
David M. Pennock
David M. Pennock Rutgers, The State University of New Jersey
Mikhail J. Atallah
Mikhail J. Atallah Purdue University West Lafayette
Joan Feigenbaum
Joan Feigenbaum Yale University

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