World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
8674
World Ranking
6207
National Ranking
820

Pingyi Fan 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 Pingyi Fan 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: 454 publications — 91st percentile

91% of scientists in this discipline score the same or lower.

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

Pingyi Fan 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 Pingyi Fan 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: 48 D-Index — 58th percentile

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

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

Overview

Pingyi Fan is a researcher affiliated with Tsinghua University in China, with a focus on fields including Computer Science and Engineering. Their work spans a variety of subfields such as Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition, and Aerospace Engineering.

Their research topics cover a range of areas related to wireless and network communications, including:

  • Age of Information Optimization
  • Privacy-Preserving Technologies in Data
  • Energy Harvesting in Wireless Networks
  • IoT and Edge/Fog Computing
  • IoT Networks and Protocols
  • Advanced Wireless Communication Technologies
  • Advanced MIMO Systems Optimization

Pingyi Fan has contributed extensively to academic literature, with a significant number of publications appearing in venues such as:

  • arXiv (Cornell University)
  • IEEE Internet of Things Journal
  • IEEE Transactions on Wireless Communications
  • Entropy
  • IEEE Transactions on Green Communications and Networking

Some of their recent papers include:

  • "AoI-Minimal Trajectory Planning and Data Collection in UAV-Assisted Wireless Powered IoT Networks" (2020), published in IEEE Internet of Things Journal
  • "Mobility-Aware Cooperative Caching in Vehicular Edge Computing Based on Asynchronous Federated and Deep Reinforcement Learning" (2022), published in IEEE Journal of Selected Topics in Signal Processing
  • "Energy Efficiency Maximization in RIS-Assisted SWIPT Networks With RSMA: A PPO-Based Approach" (2023), published in IEEE Journal on Selected Areas in Communications
  • "Average AoI Minimization in UAV-Assisted Data Collection With RF Wireless Power Transfer: A Deep Reinforcement Learning Scheme" (2021), published in IEEE Internet of Things Journal
  • "Decentralized Power Allocation for MIMO-NOMA Vehicular Edge Computing Based on Deep Reinforcement Learning" (2021), published in IEEE Internet of Things Journal

Throughout their career, Pingyi Fan has collaborated frequently with several researchers, notably:

  • Khaled B. Letaief (106 joint works)
  • Ke Xiong (51 joint works)
  • Qiong Wu (50 joint works)
  • Qiang Fan (26 joint works)
  • Jiangzhou Wang (26 joint works)

In addition to journal articles and conference papers, Pingyi Fan has contributed to book publications. One such contribution is the book titled Communications, Networking, and Information Systems, published by Springer Science+Business Media in 2023.

Best Publications

  • AoI-Minimal Trajectory Planning and Data Collection in UAV-Assisted Wireless Powered IoT Networks

    Huimin Hu;Ke Xiong;Gang Qu;Qiang Ni

  • UAV-Assisted Wireless Powered Cooperative Mobile Edge Computing: Joint Offloading, CPU Control, and Trajectory Optimization

    Yuan Liu;Ke Xiong;Qiang Ni;Pingyi Fan

  • Energy Efficiency Maximization in RIS-Assisted SWIPT Networks With RSMA: A PPO-Based Approach

    Unknown

  • Wireless Information and Energy Transfer for Two-Hop Non-Regenerative MIMO-OFDM Relay Networks

    Ke Xiong;Pingyi Fan;Chuang Zhang;Khaled Ben Letaief

  • Mobility-Aware Cooperative Caching in Vehicular Edge Computing Based on Asynchronous Federated and Deep Reinforcement Learning

    Unknown

  • Tracking angles of departure and arrival in a mobile millimeter wave channel

    Chuang Zhang;Dongning Guo;Pingyi Fan

  • Operation Analysis of Fast Charging Stations With Energy Demand Control of Electric Vehicles

    Pingyi Fan;Bilguun Sainbayar;Shaolei Ren

  • Reliable relay assisted wireless multicast using network coding

    Pingyi Fan;Chen Zhi;Chen Wei;K. Ben Letaief

  • Outage Probability of Energy Harvesting Relay-Aided Cooperative Networks Over Rayleigh Fading Channel

    Tao Li;Pingyi Fan;Khaled Ben Letaief

  • Average AoI Minimization in UAV-assisted Data Collection with RF Wireless Power Transfer: A Deep Reinforcement Learning Scheme

    Lingshan Liu;Ke Xiong;Jie Cao;Yang Lu

  • Toward Big Data Processing in IoT: Path Planning and Resource Management of UAV Base Stations in Mobile-Edge Computing System

    Shuo Wan;Jiaxun Lu;Pingyi Fan;Khaled B. Letaief

  • On the Joint V2I and V2V Scheduling for Cooperative VANETs With Network Coding

    Qing Wang;Pingyi Fan;K. B. Letaief

  • Simultaneous Wireless Information and Power Transfer in Cooperative Relay Networks With Rateless Codes

    Xiaofei Di;Ke Xiong;Pingyi Fan;Hong-Chuan Yang

  • Fundamental limits of caching: improved bounds for users with small buffers

    Zhi Chen;Pingyi Fan;Khaled Ben Letaief

  • A utility-based network selection scheme for multiple services in heterogeneous networks

    Ho Chan;Pingyi Fan;Zhigang Cao

  • Decentralized Power Allocation for MIMO-NOMA Vehicular Edge Computing Based on Deep Reinforcement Learning.

    Hongbiao Zhu;Qiong Wu;Xiaojun Wu;Qiang Fan

  • Group Cooperation With Optimal Resource Allocation in Wireless Powered Communication Networks

    Ke Xiong;Chen Chen;Gang Qu;Pingyi Fan

  • Global Energy Efficiency in Secure MISO SWIPT Systems With Non-Linear Power-Splitting EH Model

    Yang Lu;Ke Xiong;Pingyi Fan;Zhiguo Ding

  • Federated Multi-Agent Actor-Critic Learning for Age Sensitive Mobile Edge Computing

    Zheqi Zhu;Shuo Wan;Pingyi Fan;Khaled Ben Letaief

  • RF Energy Harvesting Wireless Powered Sensor Networks for Smart Cities

    Jingxian Liu;Ke Xiong;Pingyi Fan;Zhangdui Zhong

  • Spatial reuse in IEEE 802.16 based wireless mesh networks

    Liqun Fu;Zhigang Cao;Pingyi Fan

  • Energy Efficiency With Proportional Rate Fairness in Multirelay OFDM Networks

    Ke Xiong;Pingyi Fan;Yang Lu;Khaled Ben Letaief

Frequent Co-Authors

Khaled Ben Letaief
Khaled Ben Letaief Hong Kong University of Science and Technology
Ke Xiong
Ke Xiong Beijing Jiaotong University
Zhangdui Zhong
Zhangdui Zhong Beijing Jiaotong University
Xiang-Gen Xia
Xiang-Gen Xia University of Delaware
Hong-Chuan Yang
Hong-Chuan Yang University of Victoria
Dapeng Wu
Dapeng Wu City University of Hong Kong
Ross D. Murch
Ross D. Murch Hong Kong University of Science and Technology
Jiangzhou Wang
Jiangzhou Wang University of Kent
Gang Qu
Gang Qu University of Maryland, College Park
Jie Li
Jie Li Shanghai Jiao Tong University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring computer science in the USA opens up many flexible study options and career paths. One key advantage for students is the ability to pursue accredited programs entirely online, making it more convenient to fit education around work and other commitments.

For those seeking to advance their qualifications quickly, fastest masters degree online programs can provide a fast track to higher earning potential and specialized tech skills. If you are considering an advanced credential, choosing among masters degrees that are worth it will help you invest in a field with strong job demand and a promising salary outlook.

Entry-level learners or career changers can look into earning an associate degree online, which can be completed in as little as two years and offers practical tech skills relevant to today’s market.

Affordability is another concern—exploring the cheapest online college options enables students to manage costs while gaining a recognized degree. Each path offers its own advantages depending on your goals and experience, making computer science an adaptable field for online study.

Best Scientists Citing Pingyi Fan

Trending Scientists

Recently Published Articles