World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
53
Citations
10281
World Ranking
2431
National Ranking
409

Computer Science

D-Index
53
Citations
10852
World Ranking
4839
National Ranking
648

Xinbing Wang publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Xinbing Wang sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 424 publications — 77th percentile

77% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Xinbing Wang D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Xinbing Wang sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 53 D-Index — 66th percentile

66% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Overview

Xinbing Wang is affiliated with Shanghai Jiao Tong University in China and has contributed extensively to the field of computer science, with a particular focus on artificial intelligence, computer networks, and related interdisciplinary areas.

Their research portfolio spans multiple subfields, including:

  • Artificial Intelligence
  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Plant Science
  • Statistical and Nonlinear Physics

The scientist's work covers a range of topics, notably:

  • Advanced Graph Neural Networks
  • Complex Network Analysis Techniques
  • Topic Modeling
  • Crop Yield and Soil Fertility
  • Natural Language Processing Techniques
  • Privacy-Preserving Technologies in Data
  • Opinion Dynamics and Social Influence

Xinbing Wang has coauthored many publications with frequent collaborators such as Chenghu Zhou, Luoyi Fu, Jiaxin Ding, Xiaoying Gan, and Xiaohua Tian.

Their research has been published across various venues that include:

  • arXiv (Cornell University)
  • IEEE Transactions on Mobile Computing
  • IEEE/ACM Transactions on Networking
  • ACM Transactions on Knowledge Discovery from Data
  • SSRN Electronic Journal

Significant recent papers by Xinbing Wang include:

  • "Timing and patterns of the Great Ordovician Biodiversification Event and Late Ordovician mass extinction: Perspectives from South China," 2021, Earth-Science Reviews
  • "Machine learning-based in-season nitrogen status diagnosis and side-dress nitrogen recommendation for corn," 2020, European Journal of Agronomy
  • "Geoscience knowledge graph in the big data era," 2021, Science China Earth Sciences
  • "Spatio-Temporal Graph Few-Shot Learning with Cross-City Knowledge Transfer," 2022, Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
  • "CSI Fingerprinting Localization With Low Human Efforts," 2020, IEEE/ACM Transactions on Networking

In addition to journal and conference papers, Xinbing Wang has contributed books published by well-known publishers:

  • "Wireless Localization Techniques," published by Springer International Publishing in 2023
  • "Wireless Sensor Networks," published by Springer Science+Business Media in 2024

Best Publications

  • Spectrum Trading in Cognitive Radio Networks: A Contract-Theoretic Modeling Approach

    Lin Gao;Xinbing Wang;Youyun Xu;Qian Zhang

  • Coded Caching Under Arbitrary Popularity Distributions

    Jinbei Zhang;Xiaojun Lin;Xinbing Wang

  • Distributed scheduling scheme for video streaming over multi-channel multi-radio multi-hop wireless networks

    Liang Zhou;Xinbing Wang;Wei Tu;G.-M. Muntean

  • Spectrum Sharing in Cognitive Radio Networks—An Auction-Based Approach

    Xinbing Wang;Zheng Li;Pengchao Xu;Youyun Xu

  • MAP: Multiauctioneer Progressive Auction for Dynamic Spectrum Access

    Lin Gao;Youyun Xu;Xinbing Wang

  • Delay and capacity tradeoff analysis for motioncast

    Xinbing Wang;Wentao Huang;Shangxing Wang;Jinbei Zhang

  • DRIMUX: Dynamic Rumor Influence Minimization with User Experience in Social Networks

    Biao Wang;Ge Chen;Luoyi Fu;Li Song

  • Data Gathering with Compressive Sensing in Wireless Sensor Networks: A Random Walk Based Approach

    Haifeng Zheng;Feng Yang;Xiaohua Tian;Xiaoying Gan

  • Interference Exploitation in D2D-Enabled Cellular Networks: A Secrecy Perspective

    Chuan Ma;Jiaqi Liu;Xiaohua Tian;Hui Yu

  • Pricing for Uplink Power Control in Cognitive Radio Networks

    Hui Yu;Lin Gao;Zheng Li;Xinbing Wang

  • Learning-Aided Computation Offloading for Trusted Collaborative Mobile Edge Computing

    Yuqing Li;Xiong Wang;Xiaoying Gan;Haiming Jin

  • Fundamental limits of RSS fingerprinting based indoor localization

    Yutian Wen;Xiaohua Tian;Xinbing Wang;Songwu Lu

  • Combinatorial auction with time-frequency flexibility in cognitive radio networks

    Mo Dong;Gaofei Sun;Xinbing Wang;Qian Zhang

  • Coalitional Game Theoretic Approach for Secondary Spectrum Access in Cooperative Cognitive Radio Networks

    Dapeng Li;Youyun Xu;Xinbing Wang;Mohsen Guizani

  • On content-centric wireless delivery networks

    Hui Liu;Zhiyong Chen;Xiaohua Tian;Xinbing Wang

  • Incentivize crowd labeling under budget constraint

    Qi Zhang;Yutian Wen;Xiaohua Tian;Xiaoying Gan

  • CommunityGAN: Community Detection with Generative Adversarial Nets

    Yuting Jia;Qinqin Zhang;Weinan Zhang;Xinbing Wang

  • Coverage and Energy Consumption Control in Mobile Heterogeneous Wireless Sensor Networks

    Xinbing Wang;Sihui Han;Yibo Wu;Xiao Wang

  • A game approach for multi-channel allocation in multi-hop wireless networks

    Lin Gao;Xinbing Wang

  • Insecurity of Voice Solution VoLTE in LTE Mobile Networks

    Chi-Yu Li;Guan-Hua Tu;Chunyi Peng;Zengwen Yuan

  • DRIMUX: dynamic rumor influence minimization with user experience in social networks

    Biao Wang;Ge Chen;Luoyi Fu;Li Song

Frequent Co-Authors

Mohsen Guizani
Mohsen Guizani Mohamed bin Zayed University of Artificial Intelligence
Songwu Lu
Songwu Lu University of California, Los Angeles
Guihai Chen
Guihai Chen Nanjing University
Ying Cui
Ying Cui Hong Kong University of Science and Technology
Xiaojun Lin
Xiaojun Lin Purdue University West Lafayette
Yu Cheng
Yu Cheng Illinois Institute of Technology
Hsiao-Hwa Chen
Hsiao-Hwa Chen National Cheng Kung University
Xue Liu
Xue Liu McGill University
Wenye Wang
Wenye Wang North Carolina State University
Weinan Zhang
Weinan Zhang Shanghai Jiao Tong University

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