World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
5083
World Ranking
12616
National Ranking
1547

Xiaofeng Gao 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 Xiaofeng Gao 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: 344 publications — 81st percentile

81% of scientists in this discipline score the same or lower.

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

Xiaofeng Gao 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 Xiaofeng Gao 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: 33 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Overview

Xiaofeng Gao is affiliated with Shanghai Jiao Tong University in China. Their primary research contributions lie within the fields of Computer Science and Engineering, with a significant focus on Artificial Intelligence, Computer Networks and Communications, Information Systems, Electrical and Electronic Engineering, and Computer Science Applications.

The scientist's work is especially prominent in topics such as Mobile Crowdsensing and Crowdsourcing, Advanced Graph Neural Networks, Complex Network Analysis Techniques, Recommender Systems and Techniques, Time Series Analysis and Forecasting, Auction Theory and Applications, and Cloud Computing and Resource Management.

Xiaofeng Gao has published multiple papers across several notable venues. Frequent publication outlets include arXiv (Cornell University), IEEE Transactions on Mobile Computing, IEEE Transactions on Knowledge and Data Engineering, IEEE/ACM Transactions on Networking, and the Journal of Shanghai Jiaotong University (Science).

Among the recent papers associated with their scholarly activity are:

  • International Alliance of Urolithiasis guideline on retrograde intrarenal surgery, 2022, British Journal of Urology
  • General framework, opportunities and challenges for crowdsourcing techniques: A Comprehensive survey, 2020, Journal of Systems and Software
  • HiPERCAM: a quintuple-beam, high-speed optical imager on the 10.4-m Gran Telescopio Canarias, 2021, Monthly Notices of the Royal Astronomical Society
  • Quality Inference Based Task Assignment in Mobile Crowdsensing, 2020, IEEE Transactions on Knowledge and Data Engineering
  • MAB-Based Reinforced Worker Selection Framework for Budgeted Spatial Crowdsensing, 2020, IEEE Transactions on Knowledge and Data Engineering

Collaboration is a notable part of Xiaofeng Gao's research activities. Frequent co-authors include Guihai Chen, Yucen Gao, Jiadong Chen, Siyu Yao, and Fan Wu.

Best Publications

  • Dual Graph Attention Networks for Deep Latent Representation of Multifaceted Social Effects in Recommender Systems

    Qitian Wu;Hengrui Zhang;Xiaofeng Gao;Peng He

  • On Designing Data Quality-Aware Truth Estimation and Surplus Sharing Method for Mobile Crowdsensing

    Shuo Yang;Fan Wu;Shaojie Tang;Xiaofeng Gao

  • A Life Cycle Thinking Framework to Mitigate the Environmental Impact of Building Materials

    Beijia Huang;Beijia Huang;Xiaofeng Gao;Xiaofeng Gao;Xiaofeng Gao;Xiaozhen Xu;Jialing Song

  • The features, hardware, and architectures of data center networks

    Tao Chen;Xiaofeng Gao;Guihai Chen

  • Quality-Aware Sensing Coverage in Budget-Constrained Mobile Crowdsensing Networks

    Maotian Zhang;Panlong Yang;Chang Tian;Shaojie Tang

  • A Budget Feasible Incentive Mechanism for Weighted Coverage Maximization in Mobile Crowdsensing

    Zhenzhe Zheng;Fan Wu;Xiaofeng Gao;Hongzi Zhu

  • Coverage problem with uncertain properties in wireless sensor networks: A survey

    Yang Wang;Shuang Wu;Zhiyin Chen;Xiaofeng Gao

  • Distributed Construction of Connected Dominating Sets with Minimum Routing Cost in Wireless Networks

    Ling Ding;Xiaofeng Gao;Weili Wu;Wonjun Lee

  • A better constant-factor approximation for weighted dominating set in unit disk graph

    Yaochun Huang;Xiaofeng Gao;Zhao Zhang;Weili Wu

  • General framework, opportunities and challenges for crowdsourcing techniques: A Comprehensive survey

    Shahzad Sarwar Bhatti;Xiaofeng Gao;Guihai Chen

  • ANALYSIS ON THEORETICAL BOUNDS FOR APPROXIMATING DOMINATING SET PROBLEMS

    Xiaofeng Gao;Yuexuan Wang;Xianyue Li;Weili Wu

  • Traffic Load Balancing Schemes for Devolved Controllers in Mega Data Centers

    Xiaofeng Gao;Linghe Kong;Weichen Li;Wanchao Liang

  • A PTAS for minimum connected dominating set in 3-dimensional Wireless sensor networks

    Zhao Zhang;Xiaofeng Gao;Weili Wu;Ding-Zhu Du

  • Taxonomy and Evaluation for Microblog Popularity Prediction

    Xiaofeng Gao;Zhenhao Cao;Sha Li;Bin Yao

  • Dual Sequential Prediction Models Linking Sequential Recommendation and Information Dissemination

    Qitian Wu;Yirui Gao;Xiaofeng Gao;Paul Weng

  • MAB-Based Reinforced Worker Selection Framework for Budgeted Spatial Crowdsensing

    Xiaofeng Gao;Shenwei Chen;Guihai Chen

  • Cross-Task Knowledge Distillation in Multi-Task Recommendation

    Unknown

  • Quality Inference Based Task Assignment in Mobile Crowdsensing

    Xiaofeng Gao;Haowei Huang;Chenlin Liu;Fan Wu

  • Unlocking the Value of Privacy: Trading Aggregate Statistics over Private Correlated Data

    Chaoyue Niu;Zhenzhe Zheng;Fan Wu;Shaojie Tang

  • Approximation Algorithms for Sweep Coverage Problem With Multiple Mobile Sensors

    Xiaofeng Gao;Jiahao Fan;Fan Wu;Guihai Chen

  • Energy Efficient Algorithms for $k$ -Sink Minimum Movement Target Coverage Problem in Mobile Sensor Network

    Xiaofeng Gao;Zhiyin Chen;Fan Wu;Guihai Chen

  • Construction of strongly connected dominating sets in asymmetric multihop wireless networks

    Deying Li;Hongwei Du;Peng-Jun Wan;Xiaofeng Gao

  • VRKitchen: an Interactive 3D Virtual Environment for Task-oriented Learning.

    Xiaofeng Gao;Ran Gong;Tianmin Shu;Xu Xie

Frequent Co-Authors

Guihai Chen
Guihai Chen Nanjing University
Fan Wu
Fan Wu Shanghai Jiao Tong University
Weili Wu
Weili Wu The University of Texas at Dallas
Shaojie Tang
Shaojie Tang The University of Texas at Dallas
Linghe Kong
Linghe Kong Shanghai Jiao Tong University
Ding-Zhu Du
Ding-Zhu Du The University of Texas at Dallas
Song-Chun Zhu
Song-Chun Zhu Peking University
Hongyuan Zha
Hongyuan Zha Chinese University of Hong Kong, Shenzhen
Minyi Guo
Minyi Guo Shanghai Jiao Tong University
Junchi Yan
Junchi Yan Shanghai Jiao Tong University

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