Yilin Wang
Engineering · Purdue University West Lafayette
Publications
14
Citations
188
Est. group size
—
Recurring co-author estimate
Active years
11
Publishing since 2015
This researcher's publication record spans several distinct engineering topics, including battery materials (especially sodium-ion and lithium-ion battery chemistry and health monitoring), autonomous vehicle systems and traffic safety, tunnel infrastructure evaluation, and applications of machine learning and deep learning to varied problems like medical imaging and food temperature control. The work generally combines materials science or transportation engineering with data-driven and machine-learning methods. Because the topics are quite varied, this may reflect either a broad, multidisciplinary research program or contributions across multiple collaborative projects.
After a gap with no recorded publications between 2018 and 2022, output resumed and grew from 2023 to 2024, with a slight decrease in 2025, suggesting a recent increase in research activity following an earlier quiet period.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Torque Distribution of Distributed Drive Electric Mining Trucks Considering Road Environment Factors
SSRN Electronic Journal · 2025
- A multi-modal deep learning solution for precise pneumonia diagnosis: the PneumoFusion-Net model
Frontiers in Physiology · 2025
- Integrated polyanion-layered oxide cathodes enabling 100 000 cycle life for sodium-ion batteries
Energy & Environmental Science · 2025
- Transforming Traditional Cuisine with AI: Innovations in Hot Pot Temperature Control Through Image Recognition
2024
- Deep Reinforcement Learning Lane-Changing Decision Algorithm for Intelligent Vehicles Combining LSTM Trajectory Prediction
World Electric Vehicle Journal · 2024
- Acid-assisted synthesis of core-shell Prussian blue cathode for sodium-ion batteries
Journal of Colloid and Interface Science · 2024
- Corrigendum to “Serviceability evaluation of highway tunnels based on data mining and machine learning: A case study of continental United States” [Tunnelling and Underground Space Technology 142 (2023) 105418]
Tunnelling and Underground Space Technology · 2023
- State of Health Estimation for Lithium-Ion Batteries by Using Partial Battery Data with a Hybrid Neural Network Model
2023
- Serviceability evaluation of highway tunnels based on data mining and machine learning: A case study of continental United States
Tunnelling and Underground Space Technology · 2023
- Improving Vision-based Self-positioning in Intelligent Transportation Systems via Integrated Lane and Vehicle Detection
arXiv (Cornell University) · 2017
- Impacts to crash severity outcome due to adverse weather and other causation factors
Advances in transportation studies · 2017
- Tunnelling and Underground Space Technology×2
- Energy & Environmental Science×1
- Journal of Colloid and Interface Science×1
- IEEE Transactions on Intelligent Vehicles×1
- World Electric Vehicle Journal×1
- Keith Redmill
Engineering · The Ohio State University
- Jamshir Qureshi
Engineering · Purdue University West Lafayette
- Bilin Aksun‐Güvenç
Engineering · The Ohio State University
- Dan Shen
Engineering · Purdue University West Lafayette
- Lingxi Li
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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