World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
52
Citations
13211
World Ranking
5023
National Ranking
2336

Chen-Nee Chuah publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Chen-Nee Chuah sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 261 publications — 65th percentile

65% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Chen-Nee Chuah D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Chen-Nee Chuah sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 52 D-Index — 65th percentile

65% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

  • 2012 - ACM Distinguished Member

Overview

Chen-Nee Chuah is affiliated with the University of California, Davis in the United States. Their research spans multiple fields including Computer Science, Medicine, and Engineering, with a significant concentration on specialized subfields such as Artificial Intelligence, Computer Vision and Pattern Recognition, Biomedical Engineering, Pulmonary and Respiratory Medicine, and Radiology, Nuclear Medicine and Imaging.

The scientist's work encompasses several main topics, notably:

  • Non-Invasive Vital Sign Monitoring
  • AI in cancer detection
  • Respiratory Support and Mechanisms
  • Digital Imaging for Blood Diseases
  • Radiomics and Machine Learning in Medical Imaging
  • Adversarial Robustness in Machine Learning
  • Medical Image Segmentation Techniques

Chen-Nee Chuah has an extensive publication record, with many articles appearing in reputable venues. Frequent publication outlets include:

  • arXiv (Cornell University)
  • 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
  • Journal of Neuropathology & Experimental Neurology
  • IEEE Transactions on Intelligent Transportation Systems
  • IEEE Access

The scientist has collaborated regularly with several coauthors, such as:

  • Zhengfeng Lai
  • Brittany N. Dugger
  • Sen-ching S. Cheung
  • Luca Cerny Oliveira
  • Jason Y. Adams

Selected recent papers include:

  • "Predicting ASD diagnosis in children with synthetic and image-based eye gaze data," 2021, Signal Processing Image Communication
  • "Leveraging IoTs and Machine Learning for Patient Diagnosis and Ventilation Management in the Intensive Care Unit," 2020, IEEE Pervasive Computing
  • "Adversarial Attacks and Defense in Deep Reinforcement Learning (DRL)-Based Traffic Signal Controllers," 2021, IEEE Open Journal of Intelligent Transportation Systems
  • "A Natural Language Processing and deep learning based model for automated vehicle diagnostics using free-text customer service reports," 2022, Machine Learning with Applications
  • "Minimizing L 1 over L 2 norms on the gradient," 2022, Inverse Problems

Chen-Nee Chuah was recognized as an ACM Distinguished Member in 2012. Their work integrates machine learning techniques with diverse applications in medical imaging, patient diagnosis, and intelligent transportation systems, reflecting an interdisciplinary approach to scientific research.

Best Publications

  • Capacity scaling in MIMO wireless systems under correlated fading

    Chen-Nee Chuah;D.N.C. Tse;J.M. Kahn;R.A. Valenzuela

  • Characterization of failures in an IP backbone

    A. Markopoulou;G. Iannaccone;S. Bhattacharyya;Chen-Nee Chuah

  • FIREMAN: a toolkit for firewall modeling and analysis

    Lihua Yuan;Hao Chen;Jianning Mai;Chen-Nee Chuah

  • Knowledge-based opportunistic forwarding in vehicular wireless ad hoc networks

    J. LeBrun;Chen-Nee Chuah;D. Ghosal;M. Zhang

  • Analysis of link failures in an IP backbone

    Gianluca Iannaccone;Chen-nee Chuah;Richard Mortier;Supratik Bhattacharyya

  • Platoon management with cooperative adaptive cruise control enabled by VANET

    Mani Amoozadeh;Hui Deng;Chen-Nee Chuah;H. Michael Zhang

  • Security vulnerabilities of connected vehicle streams and their impact on cooperative driving

    Mani Amoozadeh;Arun Raghuramu;Chen-nee Chuah;Dipak Ghosal

  • Characterization of failures in an operational IP backbone network

    Athina Markopoulou;Gianluca Iannaccone;Supratik Bhattacharyya;Chen-Nee Chuah

  • Unveiling facebook: a measurement study of social network based applications

    Atif Nazir;Saqib Raza;Chen-Nee Chuah

  • ProgME: towards programmable network measurement

    Lihua Yuan;Chen-Nee Chuah;Prasant Mohapatra

  • Adaptive Traffic Signal Control With Vehicular Ad hoc Networks

    Kartik Pandit;Dipak Ghosal;H. Michael Zhang;Chen-Nee Chuah

  • Is sampled data sufficient for anomaly detection

    Jianning Mai;Chen-Nee Chuah;Ashwin Sridharan;Tao Ye

  • BASS: BitTorrent Assisted Streaming System for Video-on-Demand

    C. Dana;D. Li;D. Harrison;C.-N. Chuah

  • Capacity of multi-antenna array systems in indoor wireless environment

    Chen-Nee Chuah;J.M. Kahn;D. Tse

  • Fast local rerouting for handling transient link failures

    Srihari Nelakuditi;Sanghwan Lee;Yinzhe Yu;Zhi-Li Zhang

  • ICEBERG: an Internet core network architecture for integrated communications

    H.J. Wang;B. Raman;Chen-Nee Chuah;R. Biswas

  • Energy-aware node placement in wireless sensor networks

    Peng Cheng;Chen-Nee Chuah;Xin Liu

  • Feasibility of IP restoration in a tier 1 backbone

    G. Iannaccone;Chen-Nee Chuah;S. Bhattacharyya;C. Diot

  • Proactive vs reactive approaches to failure resilient routing

    S. Lee;Yinzhe Yu;S. Nelakuditi;Zhi-Li Zhang

  • Uncovering Privacy Leakage in BLE Network Traffic of Wearable Fitness Trackers

    Aveek K. Das;Parth H. Pathak;Chen-Nee Chuah;Prasant Mohapatra

  • Platoon management with cooperative adaptive cruise control enabled

    Mani Amoozadeh;Chen-Nee Chuah;H. Michael Zhang;Dipak Ghosal

Frequent Co-Authors

Prasant Mohapatra
Prasant Mohapatra University of South Florida
Dipak Ghosal
Dipak Ghosal University of California, Davis
Gene Cheung
Gene Cheung York University
Puneet Sharma
Puneet Sharma Hewlett-Packard (United States)
Christophe Diot
Christophe Diot Google (United States)
Qing Zhao
Qing Zhao Cornell University
Biswanath Mukherjee
Biswanath Mukherjee University of California, Davis
Joseph M. Kahn
Joseph M. Kahn Stanford University
Randy H. Katz
Randy H. Katz University of California, Berkeley
Srihari Nelakuditi
Srihari Nelakuditi University of South Carolina

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