World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
49
Citations
11265
World Ranking
4241
National Ranking
844

Overview

Wenbin Wang is affiliated with the University of Science and Technology Beijing in China. Their research spans multiple scientific domains, primarily focusing on Engineering, Computer Science, and Biochemistry, Genetics and Molecular Biology. This interdisciplinary work encompasses specialized subfields including Electrical and Electronic Engineering, Artificial Intelligence, Molecular Biology, Plant Science, and Physiology.

The research topics that Wenbin Wang has contributed to include:

  • Topic Modeling
  • Artificial Intelligence in Games
  • RNA Interference and Gene Delivery
  • Advanced biosensing and bioanalysis techniques
  • Chromosomal and Genetic Variations
  • Erythrocyte Function and Pathophysiology
  • Cellular Mechanics and Interactions

Wenbin Wang has published in various scientific journals across different fields. Frequent publication venues include:

  • Plant Biotechnology Journal
  • Journal of Physiology and Biochemistry
  • IEEE Microwave and Wireless Technology Letters
  • IEEE Wireless Communications Letters
  • Mobile Information Systems

Their recent papers include:

  • "Beyond species and spatial boundaries: Enabling long-distance gene silencing in plants via guanidinium-siRNA nanoparticles" (2025) published in Plant Biotechnology Journal
  • "Matrix stiffening induces hepatocyte functional impairment and DNA damage via the Piezo1-ERK1/2 signaling pathway" (2025) published in Journal of Physiology and Biochemistry
  • "A 0.3-28-GHz Frequency Range, 1.2-dB Noise Figure, Cascode Distributed LNA With Wide Temperature Range for Satellite Communications" (2024) published in IEEE Microwave and Wireless Technology Letters
  • "A Transmission Scheme Design for URLLC-Enabled Full-Duplex Relaying System" (2024) published in IEEE Wireless Communications Letters
  • "Intelligent Vehicle Engine Dynamic Test System Based on Internet of Things" (2022) published in Mobile Information Systems

Wenbin Wang's frequent co-authors include:

  • Yansheng Li
  • Tingzhu Wang
  • Wu Kang
  • Linlin Wang
  • Xin Guo

Best Publications

  • Remaining useful life estimation - A review on the statistical data driven approaches

    Xiao Sheng Si;Wenbin Wang;Wenbin Wang;Wenbin Wang;Chang Hua Hu;Dong Hua Zhou

  • Remaining Useful Life Estimation Based on a Nonlinear Diffusion Degradation Process

    Xiao-Sheng Si;Wenbin Wang;Chang-Hua Hu;Dong-Hua Zhou

  • A Wiener-process-based degradation model with a recursive filter algorithm for remaining useful life estimation

    Xiao Sheng Si;Wenbin Wang;Chang Hua Hu;Mao Yin Chen

  • Prognostics and Health Management: A Review on Data Driven Approaches

    Kwok L. Tsui;Nan Chen;Qiang Zhou;Yizhen Hai

  • A degradation path-dependent approach for remaining useful life estimation with an exact and closed-form solution

    Xiao-Sheng Si;Wenbin Wang;Mao-Yin Chen;Chang-Hua Hu

  • An overview of the recent advances in delay-time-based maintenance modelling

    Wenbin Wang

  • A model for residual life prediction based on Brownian motion with an adaptive drift

    Wenbin Wang;Wenbin Wang;Matthew J. Carr;Wenjia Xu;Khairy Kobbacy

  • Estimating Remaining Useful Life With Three-Source Variability in Degradation Modeling

    Xiao-Sheng Si;Wenbin Wang;Chang-Hua Hu;Dong-Hua Zhou

  • Application of a state space modeling technique to system prognostics based on a health index for condition-based maintenance

    Jianzhong Sun;Jianzhong Sun;Hongfu Zuo;Wenbin Wang;Michael G. Pecht;Michael G. Pecht

  • Towards a general condition based maintenance model for a stochastic dynamic system

    Wenbin Wang;Anthony H. Christer;Anthony H. Christer

  • A model to predict the residual life of rolling element bearings given monitored condition information to date

    Wenbin Wang

  • A two-stage prognosis model in condition based maintenance

    Wenbin Wang;Wenbin Wang

  • A state space condition monitoring model for furnace erosion prediction and replacement

    A.H. Christer;Wenbin Wang;J.M. Sharp

  • A stochastic model for joint spare parts inventory and planned maintenance optimisation

    Wenbin Wang

  • A maintenance optimization model for mission-oriented systems based on Wiener degradation

    Chiming Guo;Wenbin Wang;Bo Guo;Xiaosheng Si

  • A model to predict the residual life of aircraft engines based upon oil analysis data

    Wenbin Wang;Wenjuan Zhang

  • An adaptive method for health trend prediction of rotating bearings

    Sheng Hong;Zheng Zhou;Enrico Zio;Wenbin Wang

  • Spare parts demand : linking forecasting to equipment maintenance

    Wenbin Wang;Argyrios Syntetos

  • On the application of a model of condition-based maintenance

    W. Wang;Philip A. Scarf;M. A. J. Smith

  • Estimating the delay-time distribution of faults in repairable machinery from failure data

    R.D. Baker;W. Wang

Frequent Co-Authors

Michael Pecht
Michael Pecht University of Maryland, College Park
Donghua Zhou
Donghua Zhou Shandong University of Science and Technology
Enrico Zio
Enrico Zio Polytechnic University of Milan
Ming J. Zuo
Ming J. Zuo University of Alberta
Shaomin Wu
Shaomin Wu University of Kent
Gregory Levitin
Gregory Levitin Southwest Jiaotong University
Jin Wang
Jin Wang Liverpool John Moores University
Tommy W. S. Chow
Tommy W. S. Chow City University of Hong Kong
Dong-Ling Xu
Dong-Ling Xu University of Manchester

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