Yinglong He

Lecturer

University of Surrey

United Kingdom

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Dr. Yinglong He is a Lecturer at the University of Surrey in the United Kingdom. His research interests encompass areas such as battery technology, traffic simulation dynamics, and risk assessment for wind turbine blade icing. He has contributed to various studies, including the modelling of car-following behaviour and energy mapping using advanced image analysis techniques.

Articles (14)

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2024

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2024

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2024

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2024

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2023

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2023

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2023

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2023

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2023

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2022

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2022

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2022

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2022

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2021

Collaborators (5)

Marcello Montanino

Assistant Professor

University of Naples Federico II

ITALY

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Ji Li

Professor

University of Birmingham

UNITED KINGDOM

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Qingwu Zhao

University of Surrey

UNITED KINGDOM

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Hongming Xu

Professor

University of Birmingham

UNITED KINGDOM

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Zsolt Szalay

Budapest University of Technology and Economics

HUNGARY

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Yinglong He

Research Interests

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About

Articles (14)

Wind turbine blade icing risk assessment considering power output predictions based on SCSO-IFCM clustering algorithm

Insight into discharge of non-aqueous Li–O2 battery using a three-dimensional electrochemical lattice Boltzmann model

Introducing Hybrid Vehicle Dynamics in Microscopic Traffic Simulation

Energy mapping of existing building stock in Cambridge using energy performance certificates and thermal infrared imagery

On the Relationship between Traffic Hysteresis and String Stability of Vehicle Platoons

On the Relationship between Traffic Hysteresis and String Stability of Vehicle Platoons

Microscopic Modelling of Car-Following Behaviour: Developments and Future Directions

Microscopic Modelling of Car-Following Behaviour: Developments and Future Directions

Dictionary learning LASSO for feature selection with application to hepatocellular carcinoma grading using contrast enhanced magnetic resonance imaging

Distributed Cooperative Energy Management System of Connected Hybrid Electric Vehicles With Personalized Non-Stationary Inference

Introducing the Effects of Road Geometry Into Microscopic Traffic Models for Automated Vehicles

Multianticipation for string stable Adaptive Cruise Control and increased motorway capacity without vehicle-to-vehicle communication

Physics-augmented models to simulate commercial adaptive cruise control (ACC) systems

Requiem on the positive effects of commercial adaptive cruise control on motorway traffic and recommendations for future automated driving systems

Collaborators (5)

Marcello Montanino

Ji Li

Qingwu Zhao

Hongming Xu

Zsolt Szalay

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