Daniel Jung

About Daniel Jung

Daniel Jung, With an exceptional h-index of 18 and a recent h-index of 16 (since 2020), a distinguished researcher at Linköpings Universitet, specializes in the field of Model-based diagnosis, data-driven diagnosis, Machine learning, Optimal control of hybrid electric vehicles.

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

The Electrochemical Commercial Vehicle (ECCV) Platform

Stability-Informed Initialization of Neural Ordinary Differential Equations

Analysis of Tariffs and the Impact on Voltage Variations in Low-Voltage Grids with Smart Charging and Renewable Energy

Enhancing the Security of Automotive Systems using Attackability Index

Fault diagnosis using data-driven residuals for anomaly classification with incomplete training data

Analysis of numerical integration in RNN-based residuals for fault diagnosis of dynamic systems

Automated design of grey-box recurrent neural networks for fault diagnosis using structural models and causal information

Data-driven fault diagnosis analysis and open-set classification of time-series data

Daniel Jung Information

University

Position

Assistant Professor Sweden.

Citations(all)

975

Citations(since 2020)

742

Cited By

507

hIndex(all)

18

hIndex(since 2020)

16

i10Index(all)

29

i10Index(since 2020)

21

Email

University Profile Page

Google Scholar

Daniel Jung Skills & Research Interests

Model-based diagnosis

data-driven diagnosis

Machine learning

Optimal control of hybrid electric vehicles

Top articles of Daniel Jung

The Electrochemical Commercial Vehicle (ECCV) Platform

Energies

2024/4/4

Stability-Informed Initialization of Neural Ordinary Differential Equations

arXiv preprint arXiv:2311.15890

2023/11/27

Analysis of Tariffs and the Impact on Voltage Variations in Low-Voltage Grids with Smart Charging and Renewable Energy

Energies

2023/11/18

Daniel Jung
Daniel Jung

H-Index: 11

Christofer Sundström
Christofer Sundström

H-Index: 5

Enhancing the Security of Automotive Systems using Attackability Index

IEEE Transactions on Intelligent Vehicles

2023/11/10

Daniel Jung
Daniel Jung

H-Index: 11

Fault diagnosis using data-driven residuals for anomaly classification with incomplete training data

IFAC-PapersOnLine

2023/1/1

Analysis of numerical integration in RNN-based residuals for fault diagnosis of dynamic systems

IFAC-PapersOnLine

2023/1/1

Automated design of grey-box recurrent neural networks for fault diagnosis using structural models and causal information

2022/5/11

Daniel Jung
Daniel Jung

H-Index: 11

Data-driven fault diagnosis analysis and open-set classification of time-series data

Control Engineering Practice

2022/4/1

Daniel Jung
Daniel Jung

H-Index: 11

A flexi-pipe model for residual-based engine fault diagnosis to handle incomplete data and class overlapping

IFAC-PapersOnLine

2022/1/1

Daniel Jung
Daniel Jung

H-Index: 11

Fault diagnosis of exhaust gas treatment system combining physical insights and neural networks

IFAC-PapersOnLine

2022/1/1

Daniel Jung
Daniel Jung

H-Index: 11

Fault Diagnosis Using Data, Models, or Both–An Electrical Motor Use-Case

IFAC-PapersOnLine

2022/1/1

A Data-Driven Clustering Algorithm for Residual Data Using Fault Signatures and Expectation Maximization

IFAC-PapersOnLine

2022/1/1

Daniel Jung
Daniel Jung

H-Index: 11

Analysis of grey-box neural network-based residuals for consistency-based fault diagnosis

IFAC-PapersOnLine

2022/1/1

Discrete fault diagnosis of structurally reconfigurable systems

Journal of Dynamic Systems, Measurement, and Control

2021/10/1

Daniel Jung
Daniel Jung

H-Index: 11

Integrated Approximate Dynamic Programming and Equivalent Consumption Minimization Strategy for Eco-Driving in a Connected and Automated Vehicle

IEEE Transactions on Vehicular Technology

2021/8/6

Daniel Jung
Daniel Jung

H-Index: 11

Potential of intelligent vehicle charging in the low voltage grid including photovoltaics

2021/1/1

Christofer Sundström
Christofer Sundström

H-Index: 5

Daniel Jung
Daniel Jung

H-Index: 11

A forest-based algorithm for selecting informative variables using Variable Depth Distribution

Engineering Applications of Artificial Intelligence

2021/1/1

Daniel Jung
Daniel Jung

H-Index: 11

Erik Frisk
Erik Frisk

H-Index: 21

Structural Methods for Distributed Fault Diagnosis of Large-Scale Systems

2020/12/14

Daniel Jung
Daniel Jung

H-Index: 11

Distributed feature selection for multi-class classification using ADMM

IEEE Control Systems Letters

2020/7/2

Daniel Jung
Daniel Jung

H-Index: 11

Data-driven open-set fault classification of residual data using Bayesian filtering

IEEE Transactions on Control Systems Technology

2020/6/2

Daniel Jung
Daniel Jung

H-Index: 11

See List of Professors in Daniel Jung University(Linköpings Universitet)

Co-Authors

academic-engine