Jin Li
Engineering · Purdue University West Lafayette
Publications
186
Citations
2,303
Est. group size
~3
Recurring co-author estimate
Active years
34
Publishing since 1993
This researcher's work centers on pavement engineering, particularly asphalt materials and structural testing methods like the falling weight deflectometer, along with machine learning approaches to predict pavement performance and temperature effects. The publication record also includes a diverse mix of unrelated topics (e.g., food science, medical imaging, oil chemistry), suggesting either a broad set of collaborations or that this name aggregates work from multiple distinct researchers sharing the same name. Prospective students should verify which specific research thread aligns with 'Jin Li' at their institution of interest, given the unusually wide topical spread.
Publication output has grown substantially over the last decade, rising from just a few papers per year in 2017-2018 to over 20 in 2025, though with some year-to-year fluctuation (e.g., a dip in 2023).
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Assessment of Temperature Correction Factors for Falling Weight Deflectometer Deflections
2026
- Probing the stability of emulsified asphalts: A dual analysis of zeta potential and particle size
Fuel · 2025
- A streamlined approach for probabilistic pavement life‐cycle performance prediction via physics‐informed neural networks
Computer-Aided Civil and Infrastructure Engineering · 2025
- Detection of soluble solid content in table grapes during storage based on visible-near-infrared spectroscopy
Food Innovation and Advances · 2025
- Numerical simulation of liquid-solid two-phase flow in cementing displacement based on kinetic theory of granular
Geoenergy Science and Engineering · 2025
- Dyna-Style Learning with a Macroscopic Model for Vehicle Platooning in Mixed-Autonomy Traffic
IFAC-PapersOnLine · 2025
- Enhanced Temperature Gradient Prediction for Asphalt Layers in Full-Depth Asphalt and Composite Pavement Using Machine Learning Techniques
Transportation Research Record Journal of the Transportation Research Board · 2025
- Effective pavement temperature determination for improved falling weight deflectometer deflection correction in full-depth asphalt pavements
Frontiers of Structural and Civil Engineering · 2025
- Salt release and performance of self-ice-melting epoxy asphalt pavement under accelerated loading simulation conditions
Construction and Building Materials · 2025
- Exploring generic fractions of multi-origin asphalts and revisiting the linkage to their bulk properties via machine learning
Journal of Materials Informatics · 2025
- Characterizing Mechanical Responses of Composite Pavements in Falling Weight Deflectometer Testing for Structural Condition Evaluation
Transportation Research Record Journal of the Transportation Research Board · 2025
- Investigation of dispersion stability of regenerated asphalt emulsions through electric potential-particle-surface triad
Construction and Building Materials · 2025
- Quantitative analysis of enhanced CT in predicting microvascular invasion and pathological grading of hepatocellular carcinoma
European Radiology · 2025
- [Research Progress on Application of Intelligent Operation and Maintenance Models in Medical Equipment Management].
PubMed · 2025
- Feasibility quantitative analysis of NIR spectroscopy coupled with Si-PLS to predict total acidity of <i>Seedless White</i> table grapes
Food Innovation and Advances · 2025
- Construction and Building Materials×7
- Journal of Cleaner Production×5
- Journal of Materials in Civil Engineering×4
- SSRN Electronic Journal×4
- Resources Conservation and Recycling×3
- Chao Yang
Engineering · Purdue University West Lafayette
- Mohammad Ali Notani
Engineering · Purdue University West Lafayette
- Bongsuk Park
Engineering · Purdue University West Lafayette
- Behnam Jahangiri
Engineering · Purdue University West Lafayette
- P. Orosa
Engineering · Purdue University West Lafayette
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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