Ying Huang
Engineering · Purdue University West Lafayette
Publications
248
Citations
4,490
Est. group size
~3
Recurring co-author estimate
Active years
24
Publishing since 2003
Ying Huang's research covers infrastructure monitoring and materials engineering, including fiber optic sensors for detecting corrosion and cracks in structures like pipelines, protective coatings and adhesives, and corrosion-resistant materials. Recent work also branches into applying machine learning and computer vision to infrastructure inspection, as well as topics like autonomous vehicle safety and power grid risk assessment. The work spans experimental materials testing, sensor-based structural health monitoring, and data-driven analysis methods.
Publication output has grown substantially over the last decade, rising from single digits per year around 2017-2018 to a peak of 37 in 2023, with a slight decline in 2024-2025 but remaining well above earlier levels.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- MOFs-derived nanoscale dual-phase molybdenum carbides for enhanced electromagnetic wave absorption with integrated corrosion resistance
Carbon · 2026
- Carbon-based nanoparticles reinforced polymer composites for improved adhesive bonding: A critical review
Applied Materials Today · 2026
- Solubility of bukovskýite [Fe2(AsO4)(SO4)(OH)⋅7H2O] and arsenic species under abiotic and anaerobic biotic conditions: implications for As release in mining areas
Mineralogy and Petrology · 2026
- Fast Click Crosslinking Bio‐Inspired Adhesives With Tailored Hierarchical High Bonding and Exceptional Versatility
Small · 2026
- Influence Graph-Based Method for Sustainable Energy Systems
Sustainability · 2025
- Autonomous Vehicles in Rural Areas: A Review of Challenges, Opportunities, and Solutions
Applied Sciences · 2025
- Review on applications of computer vision techniques for pipeline inspection
Measurement · 2025
- Optimizing material selection for wire arc thermal spraying of Al and Zn alloy metallized polymeric coating systems: Microstructural analysis and mechanical property evaluation
Materials Chemistry and Physics · 2025
- Quantification and assessment of steel pitted corrosion using optical frequency domain reflectometry (OFDR)-based distributed fiber optic sensors
Measurement · 2025
- Machine learning-empowered automatic analysis of distributed fiber optic sensor data for monitoring coincident corrosion and cracks in pipelines
Measurement · 2025
- Understanding the mechanisms behind the bonding performance of wire arc coatings
Surfaces and Interfaces · 2025
- In-Depth Microstructural Analysis of High-Performance Nickel Chromium Coating with Complex Composition
Journal of Thermal Spray Technology · 2025
- Evaluating the Impact of Human-Driven and Autonomous Vehicles in Adverse Weather Conditions Using a Verkehr in Städten—SIMulationsmodell (VISSIM) and Surrogate Safety Assessment Model (SSAM)
Electronics · 2025
- S3Former: A Deep Learning Approach to High Resolution Solar PV Profiling
IEEE Transactions on Smart Grid · 2025
- Experimental Study on the Coupling of Freeze-Thaw Cycle and Chloride Corrosion of Alkali Slag Cementitious Materials
Polymers · 2025
- SSRN Electronic Journal×9
- Sensors×7
- Smart Cities×5
- Journal of Thermal Spray Technology×5
- Progress in Organic Coatings×5
- Yuxiang Luo
Engineering · The Ohio State University
- Arushi Arora
Engineering · Purdue University West Lafayette
- Haohan Guo
Engineering · Purdue University West Lafayette
- Yi Shi
Engineering · Indiana University
- Zhenyang Feng
Engineering · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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