Hongrui Wang

Hongrui Wang

Technische Universiteit Delft

H-index: 22

Europe-Netherlands

About Hongrui Wang

Hongrui Wang, With an exceptional h-index of 22 and a recent h-index of 21 (since 2020), a distinguished researcher at Technische Universiteit Delft, specializes in the field of Railway infrastructure, Signal processing, Machine learning, Digital twin, Condition monitoring.

His recent articles reflect a diverse array of research interests and contributions to the field:

Neural oscillators for generalization of physics-informed machine learning

Transfer learning for improved generalizability in causal physics-informed neural networks for beam simulations

Artificial intelligence in railway infrastructure: current research, challenges, and future opportunities

Deep Bayesian survival analysis of rail useful lifetime

Physics-informed neural networks for solving forward and inverse problems in complex beam systems

Surrogate modelling of railway pantograph-catenary interaction using deep Long-Short-Term-Memory neural networks

Physics-informed machine learning for moving load problems

Predicting traction return current in electric railway systems through physics-informed neural networks

Hongrui Wang Information

University

Position

Assistant Professor Department of Engineering Structures

Citations(all)

1565

Citations(since 2020)

1315

Cited By

701

hIndex(all)

22

hIndex(since 2020)

21

i10Index(all)

29

i10Index(since 2020)

28

Email

University Profile Page

Technische Universiteit Delft

Google Scholar

View Google Scholar Profile

Hongrui Wang Skills & Research Interests

Railway infrastructure

Signal processing

Machine learning

Digital twin

Condition monitoring

Top articles of Hongrui Wang

Title

Journal

Author(s)

Publication Date

Neural oscillators for generalization of physics-informed machine learning

Proceedings of the AAAI Conference on Artificial Intelligence

Taniya Kapoor

Abhishek Chandra

Daniel M Tartakovsky

Hongrui Wang

Alfredo Nunez

...

2024/3/24

Transfer learning for improved generalizability in causal physics-informed neural networks for beam simulations

Engineering Applications of Artificial Intelligence

Taniya Kapoor

Hongrui Wang

Alfredo Núñez

Rolf Dollevoet

2024/7/1

Artificial intelligence in railway infrastructure: current research, challenges, and future opportunities

Wassamon Phusakulkajorn

Alfredo Núñez

Hongrui Wang

Ali Jamshidi

Arjen Zoeteman

...

2023

Deep Bayesian survival analysis of rail useful lifetime

Engineering Structures

Cheng Zeng

Jinsong Huang

Hongrui Wang

Jiawei Xie

Yuting Zhang

2023/11/15

Physics-informed neural networks for solving forward and inverse problems in complex beam systems

Machine Learning: Science and Technology

Baiyi Zhang

Guobiao Cai

Huiyan Weng

Weizong Wang

Lihui Liu

...

2023/10/26

Surrogate modelling of railway pantograph-catenary interaction using deep Long-Short-Term-Memory neural networks

Mechanism and Machine Theory

Yang Song

Hongrui Wang

Gunnstein Frøseth

Petter Nåvik

Zhigang Liu

...

2023/9/1

Physics-informed machine learning for moving load problems

arXiv preprint arXiv:2304.00369

Taniya Kapoor

Hongrui Wang

Alfredo Núñez

Rolf Dollevoet

2023/4/1

Predicting traction return current in electric railway systems through physics-informed neural networks

Taniya Kapoor

Hongrui Wang

Alfredo Núñez

Rolf Dollevoet

2022/12/4

Rail break prediction and cause analysis using imbalanced in-service train data

IEEE Transactions on Instrumentation and Measurement

Cheng Zeng

Jinsong Huang

Hongrui Wang

Jiawei Xie

Shan Huang

2022/10/17

Intelligent Data Fusion for Anomaly Detection in Dutch Railway Catenary Condition Monitoring

H Wang

JM Hendriks

RPBJ Dollevoet

Arjen Zoeteman

Alfredo Nunez

2022/6/6

Estimator-based H∞ control considering actuator time delay for active double-pantograph in high-speed railways

Journal of Low Frequency Noise, Vibration and Active Control

Xiaobing Lu

Hantao Zhang

Zhigang Liu

Fuchuan Duan

Yang Song

...

2021/3

A response spectrum analysis of wind deflection in railway overhead contact lines using pseudo-excitation method

IEEE Transactions on Vehicular Technology

Yang Song

Mingjie Zhang

Hongrui Wang

2021/1/28

A looseness detection method for railway catenary fasteners based on reinforcement learning refined localization

IEEE Transactions on Instrumentation and Measurement

Junping Zhong

Zhigang Liu

Hongrui Wang

Wenqiang Liu

Cheng Yang

...

2021/6/7

An investigation on the current collection quality of railway pantograph-catenary systems with contact wire wear degradations

IEEE Transactions on Instrumentation and Measurement

Yang Song

Hongrui Wang

Zhigang Liu

2021/5/10

Adversarial reconstruction based on tighter oriented localization for catenary insulator defect detection in high-speed railways

IEEE Transactions on Intelligent Transportation Systems

Junping Zhong

Zhigang Liu

Cheng Yang

Hongrui Wang

Shibin Gao

...

2020/9/10

Unsupervised anomaly detection in railway catenary condition monitoring using autoencoders

Hongrui Wang

2020/10/18

Action-driven reinforcement learning for improving localization of brace sleeve in railway catenary

Junping Zhong

Zhigang Liu

Hongrui Wang

Wenqiang Liu

Cheng Yang

...

2020/10/15

Reinforcement learning in railway timetable rescheduling

Yongqiu Zhu

Hongrui Wang

Rob MP Goverde

2020/9/20

See List of Professors in Hongrui Wang University(Technische Universiteit Delft)

Co-Authors

H-index: 55
H Ouyang (full professor)

H Ouyang (full professor)

University of Liverpool

H-index: 43
Rob Goverde

Rob Goverde

Technische Universiteit Delft

H-index: 41
Zhigang Liu

Zhigang Liu

Southwest Jiaotong University

H-index: 35
Alfredo Núñez Vicencio

Alfredo Núñez Vicencio

Technische Universiteit Delft

H-index: 27
Anders Rønnquist

Anders Rønnquist

Norges teknisk-naturvitenskaplige universitet

H-index: 25
Yang Song

Yang Song

Norges teknisk-naturvitenskaplige universitet

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