World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
6197
World Ranking
10226
National Ranking
1268

Dan Wang 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 Dan Wang 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: 184 publications — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Dan Wang 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 Dan Wang 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: 38 D-Index — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Overview

Dan Wang is affiliated with Hong Kong Polytechnic University in China. The primary research areas span Computer Science and Engineering, with a strong presence in subfields such as Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition, and Aerospace Engineering.

The research topics covered include:

  • Privacy-Preserving Technologies in Data
  • Building Energy and Comfort Optimization
  • Smart Grid Energy Management
  • IoT and Edge/Fog Computing
  • Network Security and Intrusion Detection
  • Advanced Neural Network Applications
  • Blockchain Technology Applications and Security

Dan Wang has contributed to several recent papers, including:

  • Comparison of reinforcement learning and model predictive control for building energy system optimization (2023, Applied Thermal Engineering)
  • A Survey on Privacy Protection of Blockchain: The Technology and Application (2020, IEEE Access)
  • Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution (2022, IEEE Transactions on Knowledge and Data Engineering)
  • Using nitrification inhibitors and deep placement to tackle the trade-offs between NH3 and N2O emissions in global croplands (2022, Global Change Biology)
  • Comparative study of model-based and model-free reinforcement learning control performance in HVAC systems (2023, Journal of Building Engineering)

The frequent collaborators include Zhu Han, Yifei Zhu, Chuang Hu, Zhe Wang, and Chenye Wu.

Key publication venues where Dan Wang has regularly published work are:

  • arXiv (Cornell University)
  • IEEE Transactions on Mobile Computing
  • SSRN Electronic Journal
  • Energy and Buildings
  • Research Square (Research Square)

Among book contributions, the scientist has authored a work titled Quality, Reliability, Security and Robustness in Heterogeneous Systems published by the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering in 2020.

Best Publications

  • Virtual Reality, Presence, and Attitude Change: Empirical Evidence from Tourism

    Iis P. Tussyadiah;Dan Wang;Timothy H. Jung;M.Claudia tom Dieck

  • Dynamic Adaptive DNN Surgery for Inference Acceleration on the Edge

    Chuang Hu;Wei Bao;Dan Wang;Fengming Liu

  • Adversarial Network Embedding

    Quanyu Dai;Qiang Li;Qiang Li;Jian Tang;Dan Wang

  • Age-based cooperative caching in information-centric networking

    Zhongxing Ming;Mingwei Xu;Dan Wang

  • Age-based cooperative caching in Information-Centric Networks

    Zhongxing Ming;Mingwei Xu;Dan Wang

  • Virtual Reality and Attitudes Toward Tourism Destinations

    Iis P. Tussyadiah;Dan Wang;Chenge (Helen) Jia

  • Towards Energy-Efficient Routing in Satellite Networks

    Yuan Yang;Mingwei Xu;Dan Wang;Yu Wang

  • STCDG: An Efficient Data Gathering Algorithm Based on Matrix Completion for Wireless Sensor Networks

    Jie Cheng;Qiang Ye;Hongbo Jiang;Dan Wang

  • Temporal knowledge discovery in big BAS data for building energy management

    Cheng Fan;Fu Xiao;Henrik Madsen;Dan Wang

  • Partial Network Coding: Theory and Application for Continuous Sensor Data Collection

    D. Wang;Qian Zhang;Jianchuan Liu

  • A measurement study on multi-path TCP with multiple cellular carriers on high speed rails

    Li Li;Ke Xu;Tong Li;Kai Zheng

  • Adversarial Training Methods for Network Embedding

    Quanyu Dai;Xiao Shen;Liang Zhang;Qiang Li

  • High Quality Sensor Placement for SHM Systems: Refocusing on Application Demands

    Bo Li;Dan Wang;Feng Wang;Yi Qing Ni

  • Time Dependent Pricing in Wireless Data Networks: Flat-Rate vs. Usage-Based Schemes

    Liang Zhang;Weijie Wu;Dan Wang

  • An occupant-participatory approach for thermal comfort enhancement and energy conservation in buildings

    Abraham Hang-yat Lam;Yi Yuan;Dan Wang

  • On-Edge Multi-Task Transfer Learning: Model and Practice With Data-Driven Task Allocation

    Qiong Chen;Zimu Zheng;Chuang Hu;Dan Wang

  • A Dynamic Skip List-Based Overlay for On-Demand Media Streaming with VCR Interactions

    Dan Wang;Jiangchuan Liu

  • Double mobility: coverage of the sea surface with mobile sensor networks

    Ji Luo;Dan Wang;Qian Zhang

  • Communication-Aware Container Placement and Reassignment in Large-Scale Internet Data Centers

    Liang Lv;Yuchao Zhang;Yusen Li;Ke Xu

  • An Anti-Tracking Source-Location Privacy Protection Protocol in WSNs Based on Path Extension

    Wei Tan;Ke Xu;Dan Wang

  • Traffic-Aware Relay Node Deployment: Maximizing Lifetime for Data Collection Wireless Sensor Networks

    Feng Wang;Dan Wang;Jiangchuan Liu

  • Online Load Balancing for MapReduce with Skewed Data Input

    Yanfang Le;Jiangchuan Liu;Funda Ergün;Funda Ergün;Dan Wang

Frequent Co-Authors

Jiangchuan Liu
Jiangchuan Liu Simon Fraser University
Mingwei Xu
Mingwei Xu Tsinghua University
Zhu Han
Zhu Han University of Houston
Ke Xu
Ke Xu Tsinghua University
Hongbo Jiang
Hongbo Jiang Hunan University
Jiannong Cao
Jiannong Cao Hong Kong Polytechnic University
Fangming Liu
Fangming Liu Huazhong University of Science and Technology
Mingyi Hong
Mingyi Hong University of Minnesota
Jianliang Xu
Jianliang Xu Hong Kong Baptist University
Chonggang Wang
Chonggang Wang InterDigital (United States)

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