World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
50
Citations
8234
World Ranking
5693
National Ranking
754

Yuan 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 Yuan 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: 227 publications — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Yuan 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 Yuan 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: 50 D-Index — 62nd percentile

62% of scientists in this discipline score the same or lower.

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

Overview

Yuan Wu is affiliated with the University of Macau in China and has contributed extensively to research at the intersection of engineering and computer science. Their work predominantly focuses on areas such as advanced wireless communication technologies, IoT and edge/fog computing, and UAV applications and optimization.

The main fields of study for Yuan Wu include engineering, with 298 publications, and computer science, accounting for 226 publications. Within these domains, their subfield specializations cover electrical and electronic engineering (161 publications), computer networks and communications (109 publications), aerospace engineering (78 publications), artificial intelligence (58 publications), and computer vision and pattern recognition (28 publications).

Their research topics include:

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

Yuan Wu has published frequently in several academic venues. These include:

  • IEEE Internet of Things Journal (27 publications)
  • IEEE Transactions on Vehicular Technology (22 publications)
  • arXiv (Cornell University) (20 publications)
  • IEEE Transactions on Mobile Computing (19 publications)
  • IEEE Transactions on Green Communications and Networking (10 publications)

Among recent papers by Yuan Wu are:

  • "Deep Reinforcement Learning-Based Dynamic Resource Management for Mobile Edge Computing in Industrial Internet of Things," 2020, IEEE Transactions on Industrial Informatics
  • "NOMA Assisted Multi-Task Multi-Access Mobile Edge Computing via Deep Reinforcement Learning for Industrial Internet of Things," 2020, IEEE Transactions on Industrial Informatics
  • "Resource and Trajectory Optimization for Secure Communications in Dual Unmanned Aerial Vehicle Mobile Edge Computing Systems," 2021, IEEE Transactions on Industrial Informatics
  • "Non-Orthogonal Multiple Access Assisted Federated Learning via Wireless Power Transfer: A Cost-Efficient Approach," 2022, IEEE Transactions on Communications
  • "Energy-Efficient UAV-Enabled Data Collection via Wireless Charging: A Reinforcement Learning Approach," 2021, IEEE Internet of Things Journal

The scientist has collaborated regularly with peers such as Liping Qian, Ning Huang, Ying Chen, Tony Q. S. Quek, and Xumin Huang. Liping Qian stands out as a frequent coauthor, with a high number of joint publications.

Best Publications

  • Demand Response Management via Real-Time Electricity Price Control in Smart Grids

    Li Ping Qian;Y. J. A. Zhang;Jianwei Huang;Yuan Wu

  • Dynamic Computation Offloading for Mobile Cloud Computing: A Stochastic Game-Theoretic Approach

    Jianchao Zheng;Yueming Cai;Yuan Wu;Xuemin Shen

  • NOMA-Assisted Multi-Access Mobile Edge Computing: A Joint Optimization of Computation Offloading and Time Allocation

    Yuan Wu;Kejie Ni;Cheng Zhang;Li Ping Qian

  • Deep Reinforcement Learning-Based Dynamic Resource Management for Mobile Edge Computing in Industrial Internet of Things

    Ying Chen;Zhiyong Liu;Yongchao Zhang;Yuan Wu

  • Deep reinforcement learning-based joint task offloading and bandwidth allocation for multi-user mobile edge computing

    Liang Huang;Xu Feng;Cheng Zhang;Liping Qian

  • Uplink Scheduling and Link Adaptation for Narrowband Internet of Things Systems

    Changsheng Yu;Li Yu;Yuan Wu;Yanfei He

  • Non-Orthogonal Multiple Access Assisted Federated Learning via Wireless Power Transfer: A Cost-Efficient Approach

    Unknown

  • Data Augmentation for Deep Learning-Based Radio Modulation Classification

    Liang Huang;Weijian Pan;You Zhang;Li Ping Qian

  • Energy management of cooperative microgrids: A distributed optimization approach

    Tian Liu;Xiaoqi Tan;Bo Sun;Yuan Wu

  • NOMA Assisted Multi-Task Multi-Access Mobile Edge Computing via Deep Reinforcement Learning for Industrial Internet of Things

    Liping Qian;Yuan Wu;Fuli Jiang;Ningning Yu

  • Efficient Multi-Vehicle Task Offloading for Mobile Edge Computing in 6G Networks

    Unknown

  • Optimal Power Allocation and Scheduling for Non-Orthogonal Multiple Access Relay-Assisted Networks

    Yuan Wu;Li Ping Qian;Haowei Mao;Xiaowei Yang

  • Optimal Pricing and Energy Scheduling for Hybrid Energy Trading Market in Future Smart Grid

    Yuan Wu;Xiaoqi Tan;Liping Qian;Danny H. K. Tsang

  • Optimal SIC Ordering and Computation Resource Allocation in MEC-Aware NOMA NB-IoT Networks

    Li Ping Qian;Anqi Feng;Yupin Huang;Yuan Wu

  • Optimal Energy Scheduling for Residential Smart Grid With Centralized Renewable Energy Source

    Yuan Wu;Vincent K. N. Lau;Danny H. K. Tsang;Li Ping Qian

  • Delay-Minimization Nonorthogonal Multiple Access Enabled Multi-User Mobile Edge Computation Offloading

    Yuan Wu;Li Ping Qian;Kejie Ni;Cheng Zhang

  • Energy-Aware Cooperative Traffic Offloading via Device-to-Device Cooperations: An Analytical Approach

    Yuan Wu;Jiachao Chen;Li Ping Qian;Jianwei Huang

  • Resource and Trajectory Optimization for Secure Communications in Dual-UAV-MEC Systems

    Weidang Lu;Yu Ding;Yuan Gao;Su Hu

  • Energy management of cooperative microgrids with P2P energy sharing in distribution networks

    Tian Liu;Xiaoqi Tan;Bo Sun;Yuan Wu

  • Dynamic Admission Control and Resource Allocation for Mobile Edge Computing Enabled Small Cell Network

    Unknown

  • Distributed Power Allocation Algorithm for Spectrum Sharing Cognitive Radio Networks with QoS Guarantee

    Y. Wu;D. H. K. Tsang

  • Joint Base Station Association and Power Control via Benders' Decomposition

    Li Ping Qian;Ying Jun Angela Zhang;Yuan Wu;Jieying Chen

  • Joint Uplink Base Station Association and Power Control for Small-Cell Networks With Non-Orthogonal Multiple Access

    Li Ping Qian;Yuan Wu;Haibo Zhou;Xuemin Shen

  • Joint Computing Resource, Power, and Channel Allocations for D2D-Assisted and NOMA-Based Mobile Edge Computing

    Xianbang Diao;Jianchao Zheng;Yuan Wu;Yueming Cai

Frequent Co-Authors

Li Ping Qian
Li Ping Qian Zhejiang University of Technology
Danny H. K. Tsang
Danny H. K. Tsang Hong Kong University of Science and Technology
Xuemin Shen
Xuemin Shen University of Waterloo
Haibo Zhou
Haibo Zhou Nanjing University
Jianwei Huang
Jianwei Huang Chinese University of Hong Kong, Shenzhen
Wen-Zhan Song
Wen-Zhan Song University of Georgia
Zhiguo Shi
Zhiguo Shi Zhejiang University
Alberto Leon-Garcia
Alberto Leon-Garcia University of Toronto
Vincent K. N. Lau
Vincent K. N. Lau Hong Kong University of Science and Technology
Weijia Jia
Weijia Jia Beijing Normal University

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