World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
69
Citations
18463
World Ranking
1980
National Ranking
271

Jianwei Huang 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 Jianwei Huang 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: 382 publications — 85th percentile

85% of scientists in this discipline score the same or lower.

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

Jianwei Huang 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 Jianwei Huang 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: 69 D-Index — 87th percentile

87% of scientists in this discipline score the same or lower.

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

Overview

Jianwei Huang is affiliated with the Chinese University of Hong Kong, Shenzhen in China. Their research primarily falls within the broad area of Computer Science, with a significant focus on Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering, Management Science and Operations Research, and Computer Science Applications.

Their recent publications reveal a strong emphasis on federated learning, privacy-preserving technologies, and network optimization. Notable papers include "Tackling System and Statistical Heterogeneity for Federated Learning with Adaptive Client Sampling" published in 2022 at IEEE INFOCOM 2022 - IEEE Conference on Computer Communications, "Optimal Contract Design for Efficient Federated Learning With Multi-Dimensional Private Information" from 2020 in IEEE Journal on Selected Areas in Communications, and "Cost-Effective Federated Learning in Mobile Edge Networks" published in 2021 also in IEEE Journal on Selected Areas in Communications. Other topics they have explored include plant genome research in "The genome of the recretohalophyte Limonium bicolor provides insights into salt gland development and salinity adaptation during terrestrial evolution" (2022, Molecular Plant) and "Age-Dependent Differential Privacy" (2023, IEEE Transactions on Information Theory).

Jianwei Huang frequently collaborates with several researchers, including Dong-Hui Lu, Makoto Hashimoto, R. J. Birgeneau, Ningning Ding, and Ji Seop Oh.

The scientist has published extensively in respected academic venues, with the largest number of publications appearing in arXiv (Cornell University), followed by IEEE Transactions on Mobile Computing, IEEE/ACM Transactions on Networking, IEEE Journal on Selected Areas in Communications, and IEEE Transactions on Network Science and Engineering.

The major research topics encompassed in Jianwei Huang's work cover:

  • Privacy-Preserving Technologies in Data
  • Mobile Crowdsensing and Crowdsourcing
  • Auction Theory and Applications
  • Topological Materials and Phenomena
  • Age of Information Optimization
  • Blockchain Technology Applications and Security
  • Stochastic Gradient Optimization Techniques

The scientist has contributed to fields that span both theoretical and applied aspects of computer science, including mobile and network systems, optimization techniques, and data privacy mechanisms.

Best Publications

  • Distributed interference compensation for wireless networks

    Jianwei Huang;R.A. Berry;M.L. Honig

  • Auction-based spectrum sharing

    Jianwei Huang;Randall A. Berry;Michael L. Honig

  • Incentivizing Energy Trading for Interconnected Microgrids

    Hao Wang;Jianwei Huang

  • Downlink scheduling and resource allocation for OFDM systems

    Jianwei Huang;V.G. Subramanian;R. Agrawal;R.A. Berry

  • Vehicle-to-Aggregator Interaction Game

    Chenye Wu;H. Mohsenian-Rad;Jianwei Huang

  • Subcarrier-pair based resource allocation for cooperative multi-relay OFDM systems

    Wenbing Dang;Meixia Tao;Hua Mu;Jianwei Huang

  • Joint scheduling and resource allocation in uplink OFDM systems for broadband wireless access networks

    J. Huang;V.G. Subramanian;R. Agrawal;R. Berry

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

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

  • Auction-Based Resource Allocation for Cooperative Communications

    Jianwei Huang;Zhu Han;Mung Chiang;H.V. Poor

  • MAPEL: Achieving global optimality for a non-convex wireless power control problem

    Li Ping Qian;Ying Jun Zhang;Jianwei Huang

  • Incentive mechanisms for smartphone collaboration in data acquisition and distributed computing

    Lingjie Duan;Takeshi Kubo;Kohei Sugiyama;Jianwei Huang

  • Cooperative Spectrum Sharing: A Contract-Based Approach

    Lingjie Duan;Lin Gao;Jianwei Huang

  • Spectrum sharing with distributed interference compensation

    J. Huang;R.A. Berry;M.L. Honig

  • Autonomous Spectrum Balancing for Digital Subscriber Lines

    R. Cendrillon;Jianwei Huang;Mung Chiang;M. Moonen

  • Providing long-term participation incentive in participatory sensing

    Lin Gao;Fen Hou;Jianwei Huang

  • A double-auction mechanism for mobile data-offloading markets

    George Iosifidis;Lin Gao;Jianwei Huang;Leandros Tassiulas

  • Cost-Effective Federated Learning Design

    Bing Luo;Xiang Li;Shiqiang Wang;Jianwei Huang

  • ClusterFL: a similarity-aware federated learning system for human activity recognition

    Xiaomin Ouyang;Zhiyuan Xie;Jiayu Zhou;Jianwei Huang

  • Cooperative Planning of Renewable Generations for Interconnected Microgrids

    Hao Wang;Jianwei Huang

  • Distributed Time-Sensitive Task Selection in Mobile Crowdsensing

    Man Hon Cheung;Richard Southwell;Fen Hou;Jianwei Huang

  • Effective Carrier Sensing in CSMA Networks under Cumulative Interference

    Liqun Fu;Soung Chang Liew;Jianwei Huang

  • Joint Scheduling and Resource Allocation in Uplink OFDM Systems

    Jianwei Huang;V.G. Subramanian;R. Berry;R. Agrawal

  • Subcarrier-Pair Based Resource Allocation for Cooperative AF Multi-Relay OFDM Systems

    Wenbing Dang;Meixia Tao;Hua Mu;Jianwei Huang

Frequent Co-Authors

Lingjie Duan
Lingjie Duan Singapore University of Technology and Design
Mung Chiang
Mung Chiang Purdue University West Lafayette
Randall A. Berry
Randall A. Berry Northwestern University
George Iosifidis
George Iosifidis Delft University of Technology
Leandros Tassiulas
Leandros Tassiulas Yale University
Vincent W. S. Wong
Vincent W. S. Wong University of British Columbia
Xiaojun Lin
Xiaojun Lin Purdue University West Lafayette
Michael L. Honig
Michael L. Honig Northwestern University
Xu Chen
Xu Chen Sun Yat-sen University
Jean Walrand
Jean Walrand University of California, Berkeley

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