World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
5778
World Ranking
10279
National Ranking
132

Chen-Khong Tham 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-Khong Tham 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: 236 publications — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Chen-Khong Tham 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-Khong Tham 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: 38 D-Index — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Overview

Chen-Khong Tham is affiliated with the National University of Singapore in Singapore. Their research primarily spans the fields of Computer Science and Engineering, with publications reflecting an interdisciplinary approach that combines technology and practical applications.

The subfields in which Chen-Khong Tham has made contributions include Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Transportation, and Biomedical Engineering. This diverse range highlights a broad engagement with both theoretical and applied aspects of technology and systems.

The main topics that characterize Chen-Khong Tham's research are:

  • IoT and Edge/Fog Computing
  • Hand Gesture Recognition Systems
  • Advanced Sensor and Energy Harvesting Materials
  • Blockchain Technology Applications and Security
  • Transportation Planning and Optimization
  • Traffic Prediction and Management Techniques
  • Human Mobility and Location-Based Analysis

Chen-Khong Tham's recent papers illustrate a focus on sensor technology, artificial intelligence integration, network systems, and transportation logistics. The following are significant publications:

  • A Wireless Multi-Channel Capacitive Sensor System for Efficient Glove-Based Gesture Recognition With AI at the Edge, 2020, IEEE Transactions on Circuits & Systems II Express Briefs
  • Hybrid-Flexible Bimodal Sensing Wearable Glove System for Complex Hand Gesture Recognition, 2021, ACS Sensors
  • Transfer Learning-Based Artificial Intelligence-Integrated Physical Modeling to Enable Failure Analysis for 3 Nanometer and Smaller Silicon-Based CMOS Transistors, 2021, ACS Applied Nano Materials
  • Fully and Partially Distributed Incentive Mechanism for a Mobile Edge Computing Network, 2020, IEEE Transactions on Mobile Computing
  • Deep reinforcement learning for dynamic incident-responsive traffic information dissemination, 2022, Transportation Research Part E Logistics and Transportation Review

The frequent coauthors who have collaborated extensively with Chen-Khong Tham include Jieming Pan, Aaron Thean, Yida Li, Rajarshi Chattopadhyay, and Yuxuan Luo. These collaborations span multiple projects and publications, indicating ongoing research partnerships.

The scientist's work is regularly published in venues such as IEEE Transactions on Mobile Computing, ACS Sensors, IEEE Transactions on Circuits & Systems II Express Briefs, ACS Applied Nano Materials, and Transportation Research Part E Logistics and Transportation Review. These publications reflect the multidisciplinary nature of their research focus.

Best Publications

  • Cost-based scheduling of scientific workflow applications on utility grids

    Jia Yu;R. Buyya;Chen Khong Tham

  • Mobile agents based routing protocol for mobile ad hoc networks

    S. Marwaha;Chen Khong Tham;D. Srinivasan

  • Interference-Minimized Multipath Routing with Congestion Control in Wireless Sensor Network for High-Rate Streaming

    Jenn-Yue Teo;Yajun Ha;Chen-Khong Tham

  • Integration of mobile IP and multi-protocol label switching

    Zhong Ren;Chen-Khong Tham;Chun-Choong Foo;Chi-Chung Ko

  • Fairness and social welfare in incentivizing participatory sensing

    Tie Luo;Chen-Khong Tham

  • On the Design of Fault-Tolerant Scheduling Strategies Using Primary-Backup Approach for Computational Grids with Low Replication Costs

    Qin Zheng;B. Veeravalli;Chen-Khong Tham

  • On incorporating differentiated levels of network service into GridSim

    Anthony Sulistio;Gokul Poduval;Rajkumar Buyya;Chen-Khong Tham

  • SensorGrid: Integrating Sensor Networks and Grid Computing

    Chen-Khong Tham;Rajkumar Buyya

  • Energy Efficient Multiple Target Tracking in Wireless Sensor Networks

    W.-L. Yeow;Chen-Khong Tham;Wai-Choong Wong

  • Evolutionary Optimal Virtual Machine Placement and Demand Forecaster for Cloud Computing

    Ching Chuen Teck Mark;Dusit Niyato;Tham Chen-Khong

  • Quality of Contributed Service and Market Equilibrium for Participatory Sensing

    Chen-Khong Tham;Tie Luo

  • Evolutionary fuzzy multi-objective routing for wireless mobile ad hoc networks

    S. Marwaha;D. Srinivasan;Chen Khong Tham;A. Vasilakos

  • Constructing a grid simulation with differentiated network service using GridSim

    Anthony Sulistio;Gokul Poduval;Rajkumar Buyya;Chen-Khong Tham

  • A probabilistic priority scheduling discipline for multi-service networks

    Yuming Jiang;Chen-Khong Tham;Chi-Chung Ko

  • A Novel Model for Competition and Cooperation among Cloud Providers

    Tram Truong-Huu;Chen-Khong Tham

  • Retraction Note: Targeted suicide gene therapy for glioma using human embryonic stem cell-derived neural stem cells genetically modified by baculoviral vectors.

    Y Zhao;D H Lam;J Yang;J Lin

  • Sensing-Driven Energy Purchasing in Smart Grid Cyber-Physical System

    Chen-Khong Tham;Tie Luo

  • A novel routing protocol using mobile agents and reactive route discovery for ad hoc wireless networks

    S. Marwaha;Chen Khong Tham;D. Srinivasan

  • An auction-based strategy for distributed task allocation in wireless sensor networks

    Neda Edalat;Chen-Khong Tham;Wendong Xiao

  • A deep reinforcement learning based offloading scheme in ad-hoc mobile clouds

    Duc Van Le;Chen-Khong Tham

  • A Stochastic Network Calculus

    Yong Liu;Chen-Khong Tham;Yuming Jiang

Frequent Co-Authors

Yuming Jiang
Yuming Jiang Norwegian University of Science and Technology
Dipti Srinivasan
Dipti Srinivasan National University of Singapore
Bharadwaj Veeravalli
Bharadwaj Veeravalli National University of Singapore
Marcelo H. Ang
Marcelo H. Ang National University of Singapore
Mehul Motani
Mehul Motani National University of Singapore
Mun Choon Chan
Mun Choon Chan National University of Singapore
Henk Corporaal
Henk Corporaal Eindhoven University of Technology
Sajal K. Das
Sajal K. Das Missouri University of Science and Technology
Rajkumar Buyya
Rajkumar Buyya University of Melbourne
Twan Basten
Twan Basten Eindhoven University of Technology

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