World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
4017
World Ranking
11402
National Ranking
1410

Tongquan Wei 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 Tongquan Wei 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: 124 publications — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Tongquan Wei 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 Tongquan Wei 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: 36 D-Index — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Overview

Tongquan Wei is affiliated with East China Normal University in China and has contributed extensively to the field of computer science, with a focus on areas such as computer networks and communications, artificial intelligence, and information systems. Their research portfolio spans over 121 publications, demonstrating engagement with multiple subfields including computer vision and pattern recognition, as well as electrical and electronic engineering.

The research topics covered in Wei's work include:

  • IoT and Edge/Fog Computing
  • Privacy-Preserving Technologies in Data
  • Cloud Computing and Resource Management
  • Caching and Content Delivery
  • Age of Information Optimization
  • Distributed and Parallel Computing Systems
  • Network Security and Intrusion Detection

Wei's recent papers reflect a strong interest in mobile edge-cloud computing and federated learning within IoT contexts. Notable publications include:

  • "Exploring Placement of Heterogeneous Edge Servers for Response Time Minimization in Mobile Edge-Cloud Computing," 2020, IEEE Transactions on Industrial Informatics
  • "Client Scheduling and Resource Management for Efficient Training in Heterogeneous IoT-Edge Federated Learning," 2021, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • "Efficient Federated Learning for Cloud-Based AIoT Applications," 2020, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • "FDA$^3$: Federated Defense Against Adversarial Attacks for Cloud-Based IIoT Applications," 2020, IEEE Transactions on Industrial Informatics
  • "A Survey of Hierarchical Energy Optimization for Mobile Edge Computing," 2020, ACM Computing Surveys

The scholar frequently publishes in several high-impact venues, with multiple contributions across:

  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • Journal of Systems Architecture
  • IEEE Transactions on Industrial Informatics
  • IEEE Transactions on Cloud Computing
  • IEEE Transactions on Computers

Collaboration is a salient feature of Wei's research career, with primary co-authors including:

  • Liying Li
  • Mingsong Chen
  • Kun Cao
  • Yangguang Cui
  • Junlong Zhou

Best Publications

  • Uncertainty-Aware Household Appliance Scheduling Considering Dynamic Electricity Pricing in Smart Home

    Xiaodao Chen;Tongquan Wei;Shiyan Hu

  • Minimizing cost and makespan for workflow scheduling in cloud using fuzzy dominance sort based HEFT

    Xiumin Zhou;Gongxuan Zhang;Jin Sun;Junlong Zhou

  • Resource Management for Improving Soft-Error and Lifetime Reliability of Real-Time MPSoCs

    Junlong Zhou;Jin Sun;Xiumin Zhou;Tongquan Wei

  • Thermal-Aware Task Scheduling for Energy Minimization in Heterogeneous Real-Time MPSoC Systems

    Junlong Zhou;Tongquan Wei;Mingsong Chen;Jianming Yan

  • Cost and makespan-aware workflow scheduling in hybrid clouds

    Junlong Zhou;Tian Wang;Peijin Cong;Pingping Lu

  • Security-Critical Energy-Aware Task Scheduling for Heterogeneous Real-Time MPSoCs in IoT

    Junlong Zhou;Jin Sun;Peijin Cong;Zhe Liu

  • Energy-aware virtual machine allocation for cloud with resource reservation

    Xinqian Zhang;Tingming Wu;Mingsong Chen;Tongquan Wei

  • QoS-Adaptive Approximate Real-Time Computation for Mobility-Aware IoT Lifetime Optimization

    Kun Cao;Guo Xu;Junlong Zhou;Tongquan Wei

  • Improving Availability of Multicore Real-Time Systems Suffering Both Permanent and Transient Faults

    Junlong Zhou;Xiaobo Sharon Hu;Yue Ma;Jin Sun

  • Exploring Placement of Heterogeneous Edge Servers for Response Time Minimization in Mobile Edge-Cloud Computing

    Kun Cao;Liying Li;Yangguang Cui;Tongquan Wei

  • A survey of optimization techniques for thermal-aware 3D processors

    Kun Cao;Junlong Zhou;Tongquan Wei;Mingsong Chen

  • A Survey of Deployment Solutions and Optimization Strategies for Hybrid SDN Networks

    Xinli Huang;Shang Cheng;Kun Cao;Peijin Cong

  • Thermal-aware correlated two-level scheduling of real-time tasks with reduced processor energy on heterogeneous MPSoCs

    Junlong Zhou;Junlong Zhou;Jianming Yan;Kun Cao;Yanchao Tan

  • Client Scheduling and Resource Management for Efficient Training in Heterogeneous IoT-Edge Federated Learning

    Yangguang Cui;Kun Cao;Guitao Cao;Meikang Qiu

  • Efficient Federated Learning for Cloud-Based AIoT Applications

    Xinqian Zhang;Ming Hu;Jun Xia;Tongquan Wei

  • FDA $^3$ : Federated Defense Against Adversarial Attacks for Cloud-Based IIoT Applications

    Yunfei Song;Tian Liu;Tongquan Wei;Xiangfeng Wang

  • Soft error-aware energy-efficient task scheduling for workflow applications in DVFS-enabled cloud

    Tingming Wu;Haifeng Gu;Junlong Zhou;Tongquan Wei

  • Reliability and temperature constrained task scheduling for makespan minimization on heterogeneous multi-core platforms

    Junlong Zhou;Junlong Zhou;Kun Cao;Peijin Cong;Tongquan Wei

  • DIAVA: A Traffic-Based Framework for Detection of SQL Injection Attacks and Vulnerability Analysis of Leaked Data

    Haifeng Gu;Jianning Zhang;Tian Liu;Ming Hu

  • Developing User Perceived Value Based Pricing Models for Cloud Markets

    Peijin Cong;Liying Li;Junlong Zhou;Kun Cao

  • A Survey of Hierarchical Energy Optimization for Mobile Edge Computing: A Perspective from End Devices to the Cloud

    Peijin Cong;Junlong Zhou;Liying Li;Kun Cao

Frequent Co-Authors

Xiaobo Sharon Hu
Xiaobo Sharon Hu University of Notre Dame
Keqin Li
Keqin Li State University of New York at New Paltz
Meikang Qiu
Meikang Qiu Augusta University
Alex Orailoglu
Alex Orailoglu University of California, San Diego
Ramesh Karri
Ramesh Karri New York University
Tian Wang
Tian Wang Beijing Normal University
Edwin H.-M. Sha
Edwin H.-M. Sha East China Normal University
Rajkumar Buyya
Rajkumar Buyya University of Melbourne
Thomas Kunz
Thomas Kunz Carleton University
Peter Palensky
Peter Palensky Delft University of Technology

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