World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
4394
World Ranking
12718
National Ranking
171

Rui Tan 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 Rui Tan 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: 195 publications — 44th percentile

44% of scientists in this discipline score the same or lower.

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

Rui Tan 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 Rui Tan 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: 33 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Overview

Rui Tan is affiliated with Nanyang Technological University in Singapore and is active in the fields of Engineering and Computer Science, with a substantial focus on Electrical and Electronic Engineering, Artificial Intelligence, Computer Networks and Communications, Mechanical Engineering, and Information Systems.

Their research extensively covers core topics such as Adversarial Robustness in Machine Learning, Cloud Computing and Resource Management, Indoor and Outdoor Localization Technologies, Heat Transfer and Optimization, Privacy-Preserving Technologies in Data, IoT and Edge/Fog Computing, and Bluetooth and Wireless Communication Technologies.

Notable recent publications by Rui Tan include:

  • "A data-driven model for water quality prediction in Tai Lake, China, using secondary modal decomposition with multidimensional external features," 2023, Journal of Hydrology Regional Studies
  • "Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices," 2020, IEEE Internet of Things Journal
  • "MCU-induced mitochondrial calcium uptake promotes mitochondrial biogenesis and colorectal cancer growth," 2020, Signal Transduction and Targeted Therapy
  • "Efficient Compute-Intensive Job Allocation in Data Centers via Deep Reinforcement Learning," 2020, IEEE Transactions on Parallel and Distributed Systems
  • "LMAC: Efficient Carrier-Sense Multiple Access for LoRa," 2022, ACM Transactions on Sensor Networks

Rui Tan frequently collaborates with several researchers including Duc Van Le, Linshan Jiang, Qun Song, Chaojie Gu, and Yonggang Wen.

Their work has been featured multiple times in prominent venues with repeated publications in:

  • arXiv (Cornell University)
  • ACM Transactions on Sensor Networks
  • Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
  • IEEE Internet of Things Journal
  • ACM Transactions on Cyber-Physical Systems

Best Publications

  • Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices

    Yang Zhao;Jun Zhao;Linshan Jiang;Rui Tan

  • Modeling and Mitigating Impact of False Data Injection Attacks on Automatic Generation Control

    Rui Tan;Hoang Hai Nguyen;Eddy. Y. S. Foo;David K. Y. Yau

  • Software-Defined Networking for Smart Grid Resilience: Opportunities and Challenges

    Xinshu Dong;Hui Lin;Rui Tan;Ravishankar K. Iyer

  • Data fusion improves the coverage of wireless sensor networks

    Guoliang Xing;Rui Tan;Benyuan Liu;Jianping Wang

  • Mobile element assisted cooperative localization for wireless sensor networks with obstacles

    Hongyang Chen;Qingjiang Shi;Rui Tan;H.V. Poor

  • Enhanced Hidden Moving Target Defense in Smart Grids

    Jue Tian;Rui Tan;Xiaohong Guan;Ting Liu

  • LMAC: Efficient Carrier-Sense Multiple Access for LoRa

    Unknown

  • LIMU-BERT: Unleashing the Potential of Unlabeled Data for IMU Sensing Applications

    Huatao Xu;Pengfei Zhou;Rui Tan;Mo Li

  • Exploiting data fusion to improve the coverage of wireless sensor networks

    Rui Tan;Guoliang Xing;Benyuan Liu;Jianping Wang

  • Exploiting Reactive Mobility for Collaborative Target Detection in Wireless Sensor Networks

    Rui Tan;Guoliang Xing;Jianping Wang;Hing Cheung So

  • Quality-Driven Volcanic Earthquake Detection Using Wireless Sensor Networks

    Rui Tan;Guoliang Xing;Jinzhu Chen;Wen-Zhan Song

  • LMAC: efficient carrier-sense multiple access for LoRa

    Amalinda Gamage;Jansen Christian Liando;Chaojie Gu;Rui Tan

  • Impact of integrity attacks on real-time pricing in smart grids

    Rui Tan;Varun Badrinath Krishna;David K.Y. Yau;Zbigniew Kalbarczyk

  • Moving Target Defense Approach to Detecting Stuxnet-Like Attacks

    Jue Tian;Rui Tan;Xiaohong Guan;Zhanbo Xu

  • Volcanic earthquake timing using wireless sensor networks

    Guojin Liu;Rui Tan;Ruogu Zhou;Guoliang Xing

  • Mobile Edge Computing, Blockchain and Reputation-based Crowdsourcing IoT Federated Learning: A Secure, Decentralized and Privacy-preserving System.

    Yang Zhao;Jun Zhao;Linshan Jiang;Rui Tan

  • Optimal False Data Injection Attack against Automatic Generation Control in Power Grids

    Unknown

  • Optimal false data injection attack against automatic generation control in power grids

    Rui Tan;Hoang Hai Nguyen;Eddy. Y. S. Foo;Xinshu Dong

  • System-level calibration for data fusion in wireless sensor networks

    Rui Tan;Guoliang Xing;Zhaohui Yuan;Xue Liu

  • Fast Sensor Placement Algorithms for Fusion-Based Target Detection

    Zhaohui Yuan;Rui Tan;Guoliang Xing;Chenyang Lu

  • Stealthy Actuator Signal Attacks in Stochastic Control Systems: Performance and Limitations

    Chongrong Fang;Yifei Qi;Jiming Chen;Rui Tan

  • Efficient Compute-Intensive Job Allocation in Data Centers via Deep Reinforcement Learning

    Deliang Yi;Xin Zhou;Yonggang Wen;Rui Tan

  • Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices

    Yang Zhao;Jun Zhao;Linshan Jiang;Rui Tan

  • Detecting Wireless Spy Cameras Via Stimulating and Probing

    Tian Liu;Ziyu Liu;Jun Huang;Rui Tan

  • A High-Fidelity Temperature Distribution Forecasting System for Data Centers

    Jinzhu Chen;Rui Tan;Yu Wang;Guoliang Xing

  • Assessing and Mitigating Impact of Time Delay Attack: Case Studies for Power Grid Controls

    Xin Lou;Cuong Tran;Rui Tan;David K. Y. Yau

  • On Lightweight Privacy-Preserving Collaborative Learning for IoT Objects.

    Linshan Jiang;Rui Tan;Xin Lou;Guosheng Lin

Frequent Co-Authors

David K. Y. Yau
David K. Y. Yau Singapore University of Technology and Design
Guoliang Xing
Guoliang Xing Chinese University of Hong Kong
Zbigniew Kalbarczyk
Zbigniew Kalbarczyk University of Illinois at Urbana-Champaign
Yonggang Wen
Yonggang Wen Nanyang Technological University
Jianping Wang
Jianping Wang City University of Hong Kong
Xiaobo Tan
Xiaobo Tan Michigan State University
Peng Cheng
Peng Cheng Zhejiang University
Mo Li
Mo Li Hong Kong University of Science and Technology
Dusit Niyato
Dusit Niyato Nanyang Technological University
Xiaorui Wang
Xiaorui Wang The Ohio State University

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