World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
48
Citations
8225
World Ranking
4610
National Ranking
1329

Overview

Linbing Wang is a researcher affiliated with Virginia Tech in the United States, focusing broadly on engineering with a strong emphasis on civil and structural engineering. Their research output includes considerable work in subfields such as mechanical engineering, building and construction, mechanics of materials, and biomedical engineering.

Their scholarly contributions cover multiple specialized topics, including:

  • Infrastructure Maintenance and Monitoring
  • Asphalt Pavement Performance Evaluation
  • Transport Systems and Technology
  • Innovative Concrete Reinforcement Materials
  • Concrete and Cement Materials Research
  • Structural Health Monitoring Techniques
  • Geotechnical Engineering and Underground Structures

Linbing Wang has published extensively in peer-reviewed journals, with frequent publication venues that highlight a consistent focus on applied materials and construction technologies. Notable journals featuring their work include:

  • Construction and Building Materials
  • Materials
  • Sensors
  • Applied Sciences
  • SSRN Electronic Journal

Among recent publications, several papers address applications of sensing technologies, machine learning, and image processing in pavement monitoring and analysis:

  • The State-of-the-Art Review on Applications of Intrusive Sensing, Image Processing Techniques, and Machine Learning Methods in Pavement Monitoring and Analysis (2020, Engineering)
  • UNet-based model for crack detection integrating visual explanations (2022, Construction and Building Materials)
  • Deep learning and infrared thermography for asphalt pavement crack severity classification (2022, Automation in Construction)
  • Microstructural characteristics and their impact on mechanical properties of steel-PVA fiber reinforced concrete (2021, Cement and Concrete Composites)
  • Asphalt Pavement Crack Detection Based on Convolutional Neural Network and Infrared Thermography (2022, IEEE Transactions on Intelligent Transportation Systems)

The frequent co-authors collaborating with Linbing Wang demonstrate a network of research partnerships with scholars active in similar research domains. These include:

  • Zhoujing Ye
  • Hailu Yang
  • Ya Wei
  • Yajian Wang
  • Yinghao Miao

Linbing Wang's research profile is characterized by a focus on advancing knowledge in infrastructure monitoring through integration of cutting-edge sensing, imaging, and data analysis methods.

Best Publications

  • The State-of-the-Art Review on Applications of Intrusive Sensing, Image Processing Techniques, and Machine Learning Methods in Pavement Monitoring and Analysis

    Yue Hou;Qiuhan Li;Qiuhan Li;Chen Zhang;Chen Zhang;Guoyang Lu

  • Piezoelectric energy harvester for public roadway: On-site installation and evaluation

    Haocheng Xiong;Linbing Wang

  • Representation of real particles for DEM simulation using X-ray tomography

    Linbing Wang;Jin-Young Park;Yanrong Fu

  • UNet-based model for crack detection integrating visual explanations

    Unknown

  • History of Hot Mix Asphalt Mixture Design in the United States

    Freddy L. Roberts;Louay N. Mohammad;L. B. Wang

  • Fracture Resistance Characterization of Superpave Mixtures Using the Semi-Circular Bending Test

    Zhong Wu;Louay N Mohammad;L B Wang;Mary Ann Mull

  • Unified Method to Quantify Aggregate Shape Angularity and Texture Using Fourier Analysis

    Linbing Wang;Xingran Wang;Louay Mohammad;Chris Abadie

  • Three-Dimensional Image Analysis of Aggregate Particles from Orthogonal Projections

    C.-Y. Kuo;J. D. Frost;J. S. Lai;L. B. Wang

  • Three-Dimensional Digital Representation of Granular Material Microstructure from X-Ray Tomography Imaging

    L. B. Wang;J. D. Frost;J. S. Lai

  • A field trial of horizontal jet grouting using the composite-pipe method in the soft deposits of Shanghai

    Shui-Long Shen;Zhi-Feng Wang;Wen-Juan Sun;Lin-Bing Wang

  • MICROSTRUCTURE STUDY OF WESTRACK MIXES FROM X-RAY TOMOGRAPHY IMAGES

    L. B. Wang;J. D. Frost;Naga Shashidhar

  • A review and perspective for research on moisture damage in asphalt pavement induced by dynamic pore water pressure

    Wentao Wang;Linbing Wang;Linbing Wang;Haocheng Xiong;Rong Luo

  • Quantification of damage parameters using X-ray tomography images

    L.B. Wang;J.D. Frost;G.Z Voyiadjis;T.P. Harman

  • Deep learning and infrared thermography for asphalt pavement crack severity classification

    Unknown

  • Mechanics of Asphalt: Microstructure and Micromechanics

    Linbing Wang

  • A direct characterization of interfacial interaction between asphalt binder and mineral fillers by atomic force microscopy

    Meng Guo;Yiqiu Tan;Jianxin Yu;Yue Hou

  • Micromechanics Study on Top-Down Cracking:

    L B Wang;L A Myers;L N Mohammad;Y R Fu

  • Anisotropic Properties of Asphalt Concrete: Characterization and Implications for Pavement Design and Analysis

    Linbing Wang;Laureano R. Hoyos;Jay Wang;George Voyiadjis

  • Microstructural characteristics and their impact on mechanical properties of steel-PVA fiber reinforced concrete

    Fangyu Liu;Ke Xu;Ke Xu;Wenqi Ding;Wenqi Ding;Yafei Qiao;Yafei Qiao

  • Understanding the relationships between rheology and chemistry of asphalt binders: A review

    Unknown

  • Effect of Basalt Fiber on the Asphalt Binder and Mastic at Low Temperature

    Dong Wang;Linbing Wang;Xinyu Gu;Guoqing Zhou

  • Asphalt Pavement Crack Detection Based on Convolutional Neural Network and Infrared Thermography

    Unknown

  • Asphalt pavement fatigue crack severity classification by infrared thermography and deep learning

    Unknown

  • Microstructure Characterization for Modeling HMA Behaviour Using Imaging Technology

    Laith Tashman;Linbing Wang;Senthil Thyagarajan

  • Investigation of the Asphalt Self-Healing Mechanism Using a Phase-Field Model

    Yue Hou;Linbing Wang;Troy Pauli;Wenjuan Sun

  • Integration of GIS and Data Mining Technology to Enhance the Pavement Management Decision Making

    Guoqing Zhou;Linbing Wang;Dong Wang;Scott Reichle

  • Characterization of Bitumen Micro-Mechanical Behaviors Using AFM, Phase Dynamics Theory and MD Simulation.

    Yue Hou;Linbing Wang;Dawei Wang;Meng Guo

  • Diffusion of asphaltene, resin, aromatic and saturate components of asphalt on mineral aggregates surface: molecular dynamics simulation

    Meng Guo;Yiqiu Tan;Linbing Wang;Yue Hou

  • Optimizing asphalt mix design through predicting the rut depth of asphalt pavement using machine learning

    Unknown

  • Development in Stacked-Array-Type Piezoelectric Energy Harvester in Asphalt Pavement

    Hailu Yang;Linbing Wang;Yue Hou;Meng Guo

  • Virtual mix design: Prediction of compressive strength of concrete with industrial wastes using deep data augmentation

    Unknown

  • A review on pavement distress and structural defects detection and quantification technologies using imaging approaches

    Unknown

Frequent Co-Authors

Yiqiu Tan
Yiqiu Tan Harbin Institute of Technology
Louay N. Mohammad
Louay N. Mohammad Louisiana State University
Markus Oeser
Markus Oeser RWTH Aachen University
Erol Tutumluer
Erol Tutumluer University of Illinois at Urbana-Champaign
Xiaoming Huang
Xiaoming Huang Southeast University
Baoshan Huang
Baoshan Huang University of Tennessee at Knoxville
George Z. Voyiadjis
George Z. Voyiadjis Louisiana State University
Shihui Shen
Shihui Shen Pennsylvania State University
Shui-Long Shen
Shui-Long Shen Shantou University
Takaki Komiyama
Takaki Komiyama University of California, San Diego

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

Exploring online degrees in Engineering and Technology opens up numerous opportunities for diverse learners. Flexible and affordable programs are now widely available. For example, if you're interested in city development, consider an online urban planning degree to start a career in sustainable city design and infrastructure.

For those looking to upskill quickly, pursuing a master degree in 6 months can help you accelerate your career without a long-term commitment. Many online schools now offer intensive programs that allow you to gain advanced credentials fast.

Shorter pathways such as certifications are also in high demand. Choosing from the best certifications for jobs can help you break into technology fields or earn competitive salaries, even if you don’t hold a four-year degree.

Online learning is especially beneficial for those balancing education with family or work. Resources such as online school for moms support women seeking flexible study options while managing parenting duties.

Best Scientists Citing Linbing Wang

Trending Scientists

Recently Published Articles