World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
11018
World Ranking
9529
National Ranking
4039

Dejun Yang 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 Dejun Yang 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: 134 publications — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Dejun Yang 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 Dejun Yang 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: 39 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Overview

Dejun Yang is affiliated with the Colorado School of Mines in the United States and specializes in computer science with a focus on artificial intelligence, computer science applications, computer networks and communications, electrical and electronic engineering, and management science and operations research.

The scientist's research covers a range of topics concentrated mainly around mobile crowdsensing and crowdsourcing, privacy-preserving technologies in data, auction theory and applications, blockchain technology applications and security, human mobility and location-based analysis, advanced MIMO systems optimization, and IoT and edge/fog computing.

Dejun Yang has published extensively in several peer-reviewed venues, notably including:

  • IEEE/ACM Transactions on Networking
  • Computer Networks
  • IEEE Transactions on Intelligent Transportation Systems
  • IEEE Transactions on Mobile Computing
  • IEEE Internet of Things Journal

Recent papers authored or co-authored by Dejun Yang include:

  • Enabling the Wireless Charging via Bus Network: Route Scheduling for Electric Vehicles, 2020, IEEE Transactions on Intelligent Transportation Systems
  • RobustPay+: Robust Payment Routing With Approximation Guarantee in Blockchain-Based Payment Channel Networks, 2021, IEEE/ACM Transactions on Networking
  • Hiring a Team From Social Network: Incentive Mechanism Design for Two-Tiered Social Mobile Crowdsourcing, 2022, IEEE Transactions on Mobile Computing
  • Bus network assisted drone scheduling for sustainable charging of wireless rechargeable sensor network, 2021, Journal of Systems Architecture
  • Towards Demand-Driven Dynamic Incentive for Mobile Crowdsensing Systems, 2020, IEEE Transactions on Wireless Communications

Frequent co-authors collaborating with Dejun Yang include Jia Xu, Lijie Xu, Guoliang Xue, Jian Tang, and Yuanhang Zhou.

Best Publications

  • Smart Grid — The New and Improved Power Grid: A Survey

    Xi Fang;Satyajayant Misra;Guoliang Xue;Dejun Yang

  • Crowdsourcing to smartphones: incentive mechanism design for mobile phone sensing

    Dejun Yang;Guoliang Xue;Xi Fang;Jian Tang

  • Incentive mechanisms for crowdsensing: crowdsourcing with smartphones

    Dejun Yang;Guoliang Xue;Xi Fang;Jian Tang

  • Experience-driven Networking: A Deep Reinforcement Learning based Approach

    Zhiyuan Xu;Jian Tang;Jingsong Meng;Weiyi Zhang

  • Spatiotemporal modeling and prediction in cellular networks: A big data enabled deep learning approach

    Jing Wang;Jian Tang;Zhiyuan Xu;Yanzhi Wang

  • Coping with a Smart Jammer in Wireless Networks: A Stackelberg Game Approach

    Dejun Yang;Guoliang Xue;Jin Zhang;A. Richa

  • Personalized Privacy-Preserving Task Allocation for Mobile Crowdsensing

    Zhibo Wang;Jiahui Hu;Ruizhao Lv;Jian Wei

  • Truthful incentive mechanisms for crowdsourcing

    Xiang Zhang;Guoliang Xue;Ruozhou Yu;Dejun Yang

  • Truthful auction for cooperative communications

    Dejun Yang;Xi Fang;Guoliang Xue

  • Two-Tiered Constrained Relay Node Placement in Wireless Sensor Networks: Computational Complexity and Efficient Approximations

    Dejun Yang;Satyajayant Misra;Xi Fang;Guoliang Xue

  • Managing smart grid information in the cloud: opportunities, model, and applications

    Xi Fang;S. Misra;Guoliang Xue;Dejun Yang

  • Truthful incentive mechanisms for k-anonymity location privacy

    Dejun Yang;Xi Fang;Guoliang Xue

  • Incentive Mechanisms for Time Window Dependent Tasks in Mobile Crowdsensing

    Jia Xu;Jinxin Xiang;Dejun Yang

  • Quality-Aware and Fine-Grained Incentive Mechanisms for Mobile Crowdsensing

    Jing Wang;Jian Tang;Dejun Yang;Erica Wang

  • Frameworks for Privacy-Preserving Mobile Crowdsensing Incentive Mechanisms

    Jian Lin;Dejun Yang;Ming Li;Jia Xu

  • Game-Theory-Based Active Defense for Intrusion Detection in Cyber-Physical Embedded Systems

    Kun Wang;Miao Du;Dejun Yang;Chunsheng Zhu

  • Game theory in cooperative communications

    Dejun Yang;Xi Fang;Guoliang Xue

  • HERA: An Optimal Relay Assignment Scheme for Cooperative Networks

    Dejun Yang;Xi Fang;Guoliang Xue

  • Incentive Mechanism for Multiple Cooperative Tasks with Compatible Users in Mobile Crowd Sensing via Online Communities

    Jia Xu;Zhengqiang Rao;Lijie Xu;Dejun Yang

  • Evolving Smart Grid Information Management Cloudward: A Cloud Optimization Perspective

    Xi Fang;Dejun Yang;Guoliang Xue

  • OPRA: Optimal Relay Assignment for Capacity Maximization in Cooperative Networks

    Dejun Yang;Xi Fang;Guoliang Xue

  • Keep Your Promise: Mechanism Design Against Free-Riding and False-Reporting in Crowdsourcing

    Xiang Zhang;Guoliang Xue;Ruozhou Yu;Dejun Yang

Frequent Co-Authors

Guoliang Xue
Guoliang Xue Arizona State University
Jian Tang
Jian Tang Syracuse University
Tao Li
Tao Li Florida International University
Yanzhi Wang
Yanzhi Wang Northeastern University
Zhibo Wang
Zhibo Wang Wuhan University
Kun Wang
Kun Wang University of California, Los Angeles
Chi Harold Liu
Chi Harold Liu Beijing Institute of Technology
Chunsheng Zhu
Chunsheng Zhu Southern University of Science and Technology
Andréa W. Richa
Andréa W. Richa Arizona State University
Junshan Zhang
Junshan Zhang University of California, Davis

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