World's Best Scientists 2026 revealed!

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Computer Science

D-Index
46
Citations
9954
World Ranking
6780
National Ranking
2985

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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