World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
9954
World Ranking
6781
National Ranking
2986

Benyuan Liu 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 Benyuan Liu 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: 188 publications — 42nd percentile

42% of scientists in this discipline score the same or lower.

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

Benyuan Liu 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 Benyuan Liu 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: 46 D-Index — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Overview

Benyuan Liu is affiliated with the University of Massachusetts Lowell in the United States. Their research primarily spans the fields of Medicine and Engineering, with notable focus on subfields such as Radiology, Nuclear Medicine and Imaging, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Biomedical Engineering, and Oncology.

The scientist's work covers several important topics, including Electrical and Bioimpedance Tomography, Colorectal Cancer Screening and Detection, COVID-19 diagnosis using AI, Radiomics and Machine Learning in Medical Imaging, Flow Measurement and Analysis, Hemodynamic Monitoring and Therapy, and Osteoarthritis Treatment and Mechanisms.

Recent publications by Benyuan Liu include:

  • Implementing a socio-technical system for computer-aided tuberculosis diagnosis in Peru: A field trial among health professionals in resource-constraint settings, 2020, Health Informatics Journal
  • Automated Disease Detection in Gastroscopy Videos Using Convolutional Neural Networks, 2022, Frontiers in Medicine
  • Rapid detection of non-normal teeth on dental X-ray images using improved Mask R-CNN with attention mechanism, 2024, International Journal of Computer Assisted Radiology and Surgery
  • eRx - A technological advance to speed-up TB diagnostics, 2020, Smart Health
  • Deep learning for gastric location classification: An analysis of location boundaries and improvements through attention and contrastive learning, 2023, Smart Health

Frequent co-authors collaborating with Benyuan Liu include:

  • Yu Cao
  • Qilei Chen
  • Xiaowei Liu
  • Shuijiao Chen
  • Weice Wang

Their research is often published in venues such as arXiv (Cornell University), Smart Health, Scientific Reports, Frontiers in Physiology, and Frontiers in Medicine. These outlets reflect the interdisciplinary nature of their work crossing health informatics, medical imaging, and engineering disciplines.

Best Publications

  • TROIKA: A General Framework for Heart Rate Monitoring Using Wrist-Type Photoplethysmographic Signals During Intensive Physical Exercise

    Zhilin Zhang;Zhouyue Pi;Benyuan Liu

  • Mobility improves coverage of sensor networks

    Benyuan Liu;Peter Brass;Olivier Dousse;Philippe Nain

  • On the capacity of hybrid wireless networks

    B. Liu;Z. Liu;D. Towsley

  • Predicting Flu Trends using Twitter data

    Harshavardhan Achrekar;Avinash Gandhe;Ross Lazarus;Ssu-Hsin Yu

  • A study of the coverage of large-scale sensor networks

    Benyuan Liu;D. Towsley

  • Properties of random direction models

    P. Nain;D. Towsley;Benyuan Liu;Zhen Liu

  • Strong barrier coverage of wireless sensor networks

    Benyuan Liu;Olivier Dousse;Jie Wang;Anwar Saipulla

  • Dynamic Coverage of Mobile Sensor Networks

    Benyuan Liu;Olivier Dousse;P. Nain;D. Towsley

  • Barrier Coverage of Line-Based Deployed Wireless Sensor Networks

    A. Saipulla;C. Westphal;B. Liu;J. Wang

  • A study of networks simulation efficiency: fluid simulation vs. packet-level simulation

    B. Liu;D.R. Figueiredo;Y. Guo;J. Kurose

  • Capacity of a wireless ad hoc network with infrastructure

    Benyuan Liu;Patrick Thiran;Don Towsley

  • Data fusion improves the coverage of wireless sensor networks

    Guoliang Xing;Rui Tan;Benyuan Liu;Jianping Wang

  • Correlating S&P 500 stocks with Twitter data

    Yuexin Mao;Wei Wei;Bing Wang;Benyuan Liu

  • TX-CNN: Detecting tuberculosis in chest X-ray images using convolutional neural network

    Chang Liu;Yu Cao;Marlon Alcantara;Benyuan Liu

  • Barrier coverage with sensors of limited mobility

    Anwar Saipulla;Benyuan Liu;Guoliang Xing;Xinwen Fu

  • On the autocorrelation structure of TCP traffic

    Daniel R. Figueiredo;Benyuan Liu;Vishal Misra;Don Towsley

  • Fluid simulation of large scale networks: Issues and tradeoffs

    Benyuan Liu;Yang Guo;James F. Kurose;Donald F. Towsley

  • Improving Tuberculosis Diagnostics Using Deep Learning and Mobile Health Technologies among Resource-Poor and Marginalized Communities

    Yu Cao;Chang Liu;Benyuan Liu;Maria J. Brunette

  • Energy efficient telemonitoring of physiological signals via compressed sensing: A fast algorithm and power consumption evaluation

    Benyuan Liu;Zhilin Zhang;Gary Xu;Hongqi Fan

  • Combining ensemble empirical mode decomposition with spectrum subtraction technique for heart rate monitoring using wrist-type photoplethysmography

    Yangsong Zhang;Benyuan Liu;Zhilin Zhang

  • Exploiting data fusion to improve the coverage of wireless sensor networks

    Rui Tan;Guoliang Xing;Benyuan Liu;Jianping Wang

Frequent Co-Authors

Yu Cao
Yu Cao University of Minnesota
Don Towsley
Don Towsley University of Massachusetts Amherst
Xinwen Fu
Xinwen Fu University of Massachusetts Lowell
Xinyu Yang
Xinyu Yang Xi'an Jiaotong University
Jim Kurose
Jim Kurose University of Massachusetts Amherst
Guoliang Xing
Guoliang Xing Chinese University of Hong Kong
Dennis Goeckel
Dennis Goeckel University of Massachusetts Amherst
Jianping Wang
Jianping Wang City University of Hong Kong
Wei Zhao
Wei Zhao Shenzhen Institutes of Advanced Technology
Philippe Nain
Philippe Nain French Institute for Research in Computer Science and Automation - INRIA

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