World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
63
Citations
12840
World Ranking
2801
National Ranking
383

Fan Wu 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 Fan Wu 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: 351 publications — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Fan Wu 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 Fan Wu 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: 63 D-Index — 81st percentile

81% of scientists in this discipline score the same or lower.

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

Overview

Fan Wu is affiliated with Shanghai Jiao Tong University in China and has contributed significantly to research in computer science and engineering. Their academic work spans multiple disciplines within these main fields of study, focusing notably on artificial intelligence and computer networks and communications.

Their recent scholarly publications include:

  • Fine-Grained User Profiling for Personalized Task Matching in Mobile Crowdsensing, 2020, IEEE Transactions on Mobile Computing
  • Service Provisioning for UAV-Enabled Mobile Edge Computing, 2021, IEEE Journal on Selected Areas in Communications
  • Decentralized Federated Learning for UAV Networks: Architecture, Challenges, and Opportunities, 2021, IEEE Network
  • Quality Inference Based Task Assignment in Mobile Crowdsensing, 2020, IEEE Transactions on Knowledge and Data Engineering
  • Edge Computing-Empowered Large-Scale Traffic Data Recovery Leveraging Low-Rank Theory, 2020, IEEE Transactions on Network Science and Engineering

Fan Wu has written books published by Springer Science+Business Media, including multiple editions of "Wireless Algorithms, Systems, and Applications" released in 2021.

The researcher frequently collaborates with several co-authors, among whom are:

  • Guihai Chen
  • Zhenzhe Zheng
  • Shaojie Tang
  • Chaoyue Niu
  • Yuben Qu

Their work is commonly published in venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Mobile Computing
  • SSRN Electronic Journal
  • IEEE Transactions on Knowledge and Data Engineering
  • Proceedings of the AAAI Conference on Artificial Intelligence

Research topics covered by Fan Wu include:

  • Privacy-Preserving Technologies in Data
  • Mobile Crowdsensing and Crowdsourcing
  • Auction Theory and Applications
  • IoT and Edge/Fog Computing
  • Indoor and Outdoor Localization Technologies
  • Consumer Market Behavior and Pricing
  • Stochastic Gradient Optimization Techniques

Their contributions integrate areas of management science and operations research alongside electrical and electronic engineering.

Best Publications

  • A Robust ECC-Based Provable Secure Authentication Protocol With Privacy Preserving for Industrial Internet of Things

    Xiong Li;Jianwei Niu;Zakirul Alam Bhuiyan;Fan Wu

  • A three-factor anonymous authentication scheme for wireless sensor networks in internet of things environments

    Xiong Li;Jianwei Niu;Saru Kumari;Fan Wu

  • Unsupervised Fake News Detection on Social Media: A Generative Approach

    Shuo Yang;Kai Shu;Suhang Wang;Renjie Gu

  • Millimeter-Wave Wireless Communications for IoT-Cloud Supported Autonomous Vehicles: Overview, Design, and Challenges

    Linghe Kong;Muhammad Khurram Khan;Fan Wu;Guihai Chen

  • A secure authentication scheme based on elliptic curve cryptography for IoT and cloud servers

    Saru Kumari;Marimuthu Karuppiah;Ashok Kumar Das;Xiong Li

  • A lightweight and robust two-factor authentication scheme for personalized healthcare systems using wireless medical sensor networks

    Fan Wu;Xiong Li;Arun Kumar Sangaiah;Lili Xu

  • Pay as How Well You Do: A Quality Based Incentive Mechanism for Crowdsensing

    Dan Peng;Fan Wu;Guihai Chen

  • Spatial Reusability-Aware Routing in Multi-Hop Wireless Networks

    Tong Meng;Fan Wu;Zheng Yang;Guihai Chen

  • A Robust and Energy Efficient Authentication Protocol for Industrial Internet of Things

    Xiong Li;Jieyao Peng;Jianwei Niu;Fan Wu

  • A Secure Three-Factor User Authentication Protocol With Forward Secrecy for Wireless Medical Sensor Network Systems

    Xiong Li;Jieyao Peng;Mohammad S. Obaidat;Fan Wu

  • An efficient authentication and key agreement scheme for multi-gateway wireless sensor networks in IoT deployment

    Fan Wu;Lili Xu;Saru Kumari;Xiong Li

  • On Designing Data Quality-Aware Truth Estimation and Surplus Sharing Method for Mobile Crowdsensing

    Shuo Yang;Fan Wu;Shaojie Tang;Xiaofeng Gao

  • A user friendly mutual authentication and key agreement scheme for wireless sensor networks using chaotic maps

    Saru Kumari;Xiong Li;Fan Wu;Ashok Kumar Das

  • Privacy Preserving Data Aggregation Scheme for Mobile Edge Computing Assisted IoT Applications

    Xiong Li;Shanpeng Liu;Fan Wu;Saru Kumari

  • A privacy-preserving and provable user authentication scheme for wireless sensor networks based on Internet of Things security

    Fan Wu;Lili Xu;Saru Kumari;Xiong Li;Xiong Li

  • Design of a provably secure biometrics-based multi-cloud-server authentication scheme

    Saru Kumari;Xiong Li;Xiong Li;Fan Wu;Ashok Kumar Das

  • Data Quality Guided Incentive Mechanism Design for Crowdsensing

    Dan Peng;Fan Wu;Guihai Chen

  • An improved and anonymous two-factor authentication protocol for health-care applications with wireless medical sensor networks

    Fan Wu;Lili Xu;Saru Kumari;Xiong Li

  • A Lightweight Privacy-Preserving Authentication Protocol for VANETs

    Xiong Li;Tian Liu;Mohammad S. Obaidat;Fan Wu

  • Stimulating Cooperation in Vehicular Ad Hoc Networks: A Coalitional Game Theoretic Approach

    Tingting Chen;Liehuang Zhu;Fan Wu;Sheng Zhong

  • A novel and provably secure biometrics-based three-factor remote authentication scheme for mobile client-server networks

    Fan Wu;Lili Xu;Saru Kumari;Xiong Li

Frequent Co-Authors

Guihai Chen
Guihai Chen Nanjing University
Xiaofeng Gao
Xiaofeng Gao Shanghai Jiao Tong University
Shaojie Tang
Shaojie Tang The University of Texas at Dallas
Saru Kumari
Saru Kumari Chaudhary Charan Singh University
Linghe Kong
Linghe Kong Shanghai Jiao Tong University
Haipeng Dai
Haipeng Dai Nanjing University
Nitin H. Vaidya
Nitin H. Vaidya Georgetown University
Sheng Zhong
Sheng Zhong Nanjing University
Muhammad Khurram Khan
Muhammad Khurram Khan King Saud University
Chunming Qiao
Chunming Qiao University at Buffalo, State University of New York

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