World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
4672
World Ranking
12678
National Ranking
5124

Overview

Wenbing Zhao is affiliated with Cleveland State University in the United States and has contributed extensively to the field of Computer Science, with a focus on areas such as Computer Networks and Communications, Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition, and Plant Science.

The scientist's research spans several prominent topics including:

  • Blockchain Technology Applications and Security
  • IoT and Edge/Fog Computing
  • Traumatic Brain Injury and Neurovascular Disturbances
  • Advanced Manufacturing and Logistics Optimization
  • Autism Spectrum Disorder Research
  • Anomaly Detection Techniques and Applications
  • Traumatic Brain Injury Research

The breadth of published works includes papers in reputable venues. Recent notable publications include:

  • "A Novel Deep Neural Network for Robust Detection of Seizures Using EEG Signals" (2020), published in Computational and Mathematical Methods in Medicine
  • "Blockchain-Enabled Cyber-Physical Systems: A Review" (2020), published in IEEE Internet of Things Journal
  • "A Blockchain-Facilitated Secure Sensing Data Processing and Logging System" (2023), published in IEEE Access

The scientist has also contributed to academic books, notably the title "Technology-Enabled Motion Sensing and Activity Tracking for Rehabilitation" published in 2022 by the Institution of Engineering and Technology.

Wenbing Zhao collaborates frequently with several coauthors, including:

  • Xiong Luo
  • Honghao Gao
  • Shunkun Yang
  • Izdehar M. Aldyaflah
  • Xiyan Zhu

Regular publication venues for Wenbing Zhao include:

  • 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
  • Sensors
  • Computational and Mathematical Methods in Medicine
  • IEEE Access
  • Digital Communications and Networks

Best Publications

  • How Can Heterogeneous Internet of Things Build Our Future: A Survey

    Tie Qiu;Ning Chen;Keqiu Li;Mohammed Atiquzzaman

  • A Survey of Applications and Human Motion Recognition with Microsoft Kinect

    Roanna Lun;Wenbing Zhao

  • Short-Term Wind Speed Forecasting via Stacked Extreme Learning Machine With Generalized Correntropy

    Xiong Luo;Jiankun Sun;Long Wang;Weiping Wang

  • Fault Tolerance Middleware for Cloud Computing

    Wenbing Zhao;P.M. Melliar-Smith;L.E. Moser

  • A Novel Deep Neural Network for Robust Detection of Seizures Using EEG Signals.

    Wei Zhao;Wenbing Zhao;Wenfeng Wang;Xiaolu Jiang

  • A Novel Human Activity Recognition Scheme for Smart Health Using Multilayer Extreme Learning Machine

    Maojian Chen;Ying Li;Xiong Luo;Weiping Wang

  • Towards enhancing stacked extreme learning machine with sparse autoencoder by correntropy

    Xiong Luo;Yang Xu;Weiping Wang;Manman Yuan

  • User behavior prediction in social networks using weighted extreme learning machine with distribution optimization

    Xiong Luo;Changwei Jiang;Weiping Wang;Yang Xu

  • A Kinect-based rehabilitation exercise monitoring and guidance system

    Wenbing Zhao;Hai Feng;Roanna Lun;Deborah D. Espy

  • Blockchain-Enabled Cyber–Physical Systems: A Review

    Wenbing Zhao;Congfeng Jiang;Honghao Gao;Shunkun Yang

  • Small-Cell Lung Cancer Detection Using a Supervised Machine Learning Algorithm

    Qing Wu;Wenbing Zhao

  • A Human-Centered Activity Tracking System: Toward a Healthier Workplace

    Wenbing Zhao;Roanna Lun;Connor Gordon;Abou-Bakar M. Fofana

  • Technology-Facilitated Diagnosis and Treatment of Individuals with Autism Spectrum Disorder: An Engineering Perspective

    Xiongyi Liu;Qing Wu;Wenbing Zhao;Xiong Luo

  • Rule based realtime motion assessment for rehabilitation exercises

    Wenbing Zhao;Roanna Lun;Deborah D. Espy;M. Ann Reinthal

  • BFT-WS: A Byzantine Fault Tolerance Framework for Web Services

    Wenbing Zhao

  • A feasibility study of using a single Kinect sensor for rehabilitation exercises monitoring: A rule based approach

    Wenbing Zhao;Deborah D. Espy;M. Ann Reinthal;Hai Feng

  • A Lightweight Fault Tolerance Framework for Web Services

    Wenbing Zhao

  • Unification of transactions and replication in three-tier architectures based on CORBA

    Wenbing Zhao;L.E. Moser;P.M. Melliar-Smith

  • Rule-Based Human Motion Tracking for Rehabilitation Exercises: Realtime Assessment, Feedback, and Guidance

    Wenbing Zhao;M. Ann Reinthal;Deborah D Espy;Xiong Luo

  • A Blockchain-Facilitated Secure Sensing Data Processing and Logging System

    Unknown

  • Efficient DV-HOP Localization for Wireless Cyber-Physical Social Sensing System: A Correntropy-Based Neural Network Learning Scheme.

    Yang Xu;Xiong Luo;Weiping Wang;Wenbing Zhao

Frequent Co-Authors

Xiong Luo
Xiong Luo University of Science and Technology Beijing
Louise E. Moser
Louise E. Moser University of California, Santa Barbara
Tie Qiu
Tie Qiu Tianjin University
Kai Wu
Kai Wu Peking University
Lixiang Li
Lixiang Li Beijing University of Posts and Telecommunications
Jinsong Wu
Jinsong Wu Wuhan University of Technology
P. M. Melliar-Smith
P. M. Melliar-Smith University of California, Santa Barbara
Atac Imamoglu
Atac Imamoglu ETH Zurich
Ravindra P. Joshi
Ravindra P. Joshi Texas Tech University
Jürgen Kurths
Jürgen Kurths Potsdam Institute for Climate Impact Research

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