World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
9253
World Ranking
7148
National Ranking
3133

Beibei 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 Beibei 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: 205 publications — 48th percentile

48% of scientists in this discipline score the same or lower.

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

Beibei 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 Beibei 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: 45 D-Index — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Overview

Beibei Wang is affiliated with the University of Maryland, College Park in the United States. Their research spans fields primarily classified under Engineering and Computer Science, with a focus on several specific subfields including Electrical and Electronic Engineering, Biomedical Engineering, Signal Processing, Computer Networks and Communications, and Aerospace Engineering.

Their work extensively covers a variety of specialized topics including:

  • Indoor and Outdoor Localization Technologies
  • Speech and Audio Processing
  • Wireless Networks and Protocols
  • Robotics and Sensor-Based Localization
  • Non-Invasive Vital Sign Monitoring
  • Millimeter-Wave Propagation and Modeling
  • Underwater Vehicles and Communication Systems

Beibei Wang has published numerous papers in several prominent venues. The most frequent publication venues include:

  • IEEE Internet of Things Journal
  • arXiv (Cornell University)
  • ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • IEEE Journal of Selected Areas in Sensors
  • IEEE Access

Some recent notable papers authored or coauthored by Wang are:

  • "GSNet: Learning Spatial-Temporal Correlations from Geographical and Semantic Aspects for Traffic Accident Risk Forecasting," 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • "mmHRV: Contactless Heart Rate Variability Monitoring Using Millimeter-Wave Radio," 2021, IEEE Internet of Things Journal
  • "ViMo: Multiperson Vital Sign Monitoring Using Commodity Millimeter-Wave Radio," 2020, IEEE Internet of Things Journal
  • "Driver Vital Signs Monitoring Using Millimeter Wave Radio," 2021, IEEE Internet of Things Journal
  • "DeFall: Environment-Independent Passive Fall Detection Using WiFi," 2021, IEEE Internet of Things Journal

Throughout their career, Beibei Wang has collaborated frequently with several coauthors. The most common coauthors include:

  • K. J. Ray Liu
  • Chenshu Wu
  • Xiaolu Zeng
  • Feng Zhang
  • Yuqian Hu

Best Publications

  • Advances in cognitive radio networks: A survey

    Beibei Wang;K J R Liu

  • Game theory for cognitive radio networks: An overview

    Beibei Wang;Yongle Wu;K.J. Ray Liu

  • Distributed Relay Selection and Power Control for Multiuser Cooperative Communication Networks Using Stackelberg Game

    Beibei Wang;Zhu Han;K.J.R. Liu

  • An anti-jamming stochastic game for cognitive radio networks

    B Wang;Yongle Wu;K J R Liu;T C Clancy

  • Anti-Jamming Games in Multi-Channel Cognitive Radio Networks

    Yongle Wu;Beibei Wang;K. J. R. Liu;T. C. Clancy

  • Green Wireless Communications: A Time-Reversal Paradigm

    Beibei Wang;Yongle Wu;Feng Han;Yu-Han Yang

  • Evolutionary cooperative spectrum sensing game: how to collaborate?

    Beibei Wang;K.J.R. Liu;T.C. Clancy

  • Distributed Relay Selection and Power Control for Multiuser Cooperative Communication Networks Using Buyer/Seller Game

    Beibei Wang;Zhu Han;K.J.R. Liu

  • Rate-Energy Region of SWIPT for MIMO Broadcasting Under Nonlinear Energy Harvesting Model

    Ke Xiong;Beibei Wang;K. J. Ray Liu

  • Cognitive Radio Networking and Security: A Game-Theoretic View

    K. J. Ray Liu;Beibei Wang

  • Primary-prioritized Markov approach for dynamic spectrum allocation

    Beibei Wang;Zhu Ji;K.J. Ray Liu;T.C. Clancy

  • Time-Reversal Division Multiple Access over Multi-Path Channels

    Feng Han;Yu-Han Yang;Beibei Wang;Yongle Wu

  • mmHRV: Contactless Heart Rate Variability Monitoring Using Millimeter-Wave Radio

    Fengyu Wang;Xiaolu Zeng;Chenshu Wu;Beibei Wang

  • Repeated open spectrum sharing game with cheat-proof strategies

    Yongle Wu;B. Wang;K.J.R. Liu;T.C. Clancy

  • TR-BREATH: Time-Reversal Breathing Rate Estimation and Detection

    Chen Chen;Yi Han;Yan Chen;Hung-Quoc Lai

  • A scalable collusion-resistant multi-winner cognitive spectrum auction game

    Yongle Wu;Beibei Wang;K.J.R. Liu;T.C. Clancy

  • Primary-Prioritized Markov Approach for Dynamic Spectrum Access

    Beibei Wang;Zhu Ji;K. J. R. Liu

  • SMARS: Sleep Monitoring via Ambient Radio Signals

    Feng Zhang;Chenshu Wu;Beibei Wang;Min Wu

  • mmTrack: Passive Multi-Person Localization Using Commodity Millimeter Wave Radio

    Chenshu Wu;Feng Zhang;Beibei Wang;K. J. Ray Liu

  • ViMo: Multiperson Vital Sign Monitoring Using Commodity Millimeter-Wave Radio

    Fengyu Wang;Feng Zhang;Chenshu Wu;Beibei Wang

  • Spectrum Auction Games for Multimedia Streaming Over Cognitive Radio Networks

    Yan Chen;Yongle Wu;Beibei Wang;K J Ray Liu

  • A multi-winner cognitive spectrum auction framework with collusion-resistant mechanisms

    Yongle Wu;Beibei Wang;K. J. R. Liu;T. Charles Clancy

  • The Promise of Radio Analytics: A Future Paradigm of Wireless Positioning, Tracking, and Sensing

    Beibei Wang;Qinyi Xu;Chen Chen;Feng Zhang

Frequent Co-Authors

Chenshu Wu
Chenshu Wu University of Hong Kong
Oscar C. Au
Oscar C. Au Hong Kong University of Science and Technology
K.J.R. Liu
K.J.R. Liu University of Maryland, College Park
Yan Chen
Yan Chen University of Science and Technology of China
Min Wu
Min Wu University of Maryland, College Park
Chunxiao Jiang
Chunxiao Jiang Tsinghua University
Zhu Han
Zhu Han University of Houston
Ke Xiong
Ke Xiong Beijing Jiaotong University
T. Charles Clancy
T. Charles Clancy Virginia Tech

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Prospective computer science students have a wide range of online degree options that can fit different goals and schedules. For those looking to enter the job market quickly, enrolling in the fastest online master's degree programs can accelerate your path to an advanced qualification.

Choosing the right specialization is important. Many top computer science programs are also counted among the most useful masters degrees due to their high demand and versatility in the tech sector.

If you’re looking for a more flexible or affordable entry into computing careers, starting with an associate's degree online can be a smart move. These programs offer foundational knowledge and can be completed quickly from anywhere.

Additionally, those seeking quality education without the hefty price tag should explore some of the affordable online colleges. With careful research, you can pursue your computer science education online while managing costs and maximizing career potential.

Best Scientists Citing Beibei Wang

Trending Scientists

Recently Published Articles