Jin Xuan

Jin Xuan

Loughborough University

H-index: 45

Europe-United Kingdom

About Jin Xuan

Jin Xuan, With an exceptional h-index of 45 and a recent h-index of 41 (since 2020), a distinguished researcher at Loughborough University, specializes in the field of Low-carbon processes, circular economy, microreactors, fuel cells.

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

A comprehensive 3D modelling exploration of a protonic ceramic electrolysis cell stack with metal foam

Modelling and optimization of Li+ extraction from brine with high Mg/Li ratio by electrochemically switched ion exchange considering thermodynamics and dynamics simultaneously

Fuel cell stack redesign and component integration radically increase power density

Responsive CO 2 capture: predictive multi-objective optimisation for managing intermittent flue gas and renewable energy supply

Revealing the best solution simultaneously for environmental and economic performance using response surface methodology under the perspective of life cycle: A case study of …

Combining machine learning with multi-physics modelling for multi-objective optimisation and techno-economic analysis of electrochemical CO2 reduction process

Dynamic optimisation of CO2 electrochemical reduction processes driven by intermittent renewable energy: Hybrid deep learning approach

Deep learning design of functionally graded porous electrode of proton exchange membrane fuel cells

Jin Xuan Information

University

Position

Professor

Citations(all)

7767

Citations(since 2020)

6419

Cited By

3074

hIndex(all)

45

hIndex(since 2020)

41

i10Index(all)

129

i10Index(since 2020)

120

Email

University Profile Page

Google Scholar

Jin Xuan Skills & Research Interests

Low-carbon processes

circular economy

microreactors

fuel cells

Top articles of Jin Xuan

A comprehensive 3D modelling exploration of a protonic ceramic electrolysis cell stack with metal foam

Journal of Power Sources

2024/6/30

Modelling and optimization of Li+ extraction from brine with high Mg/Li ratio by electrochemically switched ion exchange considering thermodynamics and dynamics simultaneously

Chemical Engineering Journal

2024/2/1

Fuel cell stack redesign and component integration radically increase power density

Joule

2024/1/17

Siyuan Wu
Siyuan Wu

H-Index: 1

Jin Xuan
Jin Xuan

H-Index: 28

Responsive CO 2 capture: predictive multi-objective optimisation for managing intermittent flue gas and renewable energy supply

Reaction Chemistry & Engineering

2024

Lei Xing
Lei Xing

H-Index: 19

Jin Xuan
Jin Xuan

H-Index: 28

Revealing the best solution simultaneously for environmental and economic performance using response surface methodology under the perspective of life cycle: A case study of …

Journal of cleaner production

2024/1/1

Combining machine learning with multi-physics modelling for multi-objective optimisation and techno-economic analysis of electrochemical CO2 reduction process

Carbon Capture Science & Technology

2023/12/1

Dynamic optimisation of CO2 electrochemical reduction processes driven by intermittent renewable energy: Hybrid deep learning approach

Digital Chemical Engineering

2023/12/1

Deep learning design of functionally graded porous electrode of proton exchange membrane fuel cells

Energy

2023/11/15

Lei Xing
Lei Xing

H-Index: 19

Jin Xuan
Jin Xuan

H-Index: 28

Next-generation magnesium-ion batteries: The quasi-solid-state approach to multivalent metal ion storage

Science Advances

2023/8/9

π Learning: A Performance‐Informed Framework for Microstructural Electrode Design

Advanced energy materials

2023/5

Life Cycle Assessment and Life Cycle Cost of Sludge Dewatering, Conditioned with Fe2+/H2O2, Fe2+/Ca(ClO)2, Fe2+/Na2S2O8, and Fe3+/CaO Based …

ACS sustainable chemistry & engineering

2023/4/7

Machine learning based techno-economic process optimisation for CO2 capture via enhanced weathering

Energy and AI

2023/4/1

An open source framework for advanced Multi-physics and multiscale modelling of solid oxide fuel cells

Energy conversion and management

2023/3/15

Jin Xuan
Jin Xuan

H-Index: 28

Zhiqiang Niu
Zhiqiang Niu

H-Index: 15

Designing graded fuel cell electrodes for proton exchange membrane (PEM) fuel cells with recurrent neural network (RNN) approaches

Chemical engineering science

2023/3/5

Structure design for ultrahigh power density proton exchange membrane fuel cell

Small methods

2023/3

Data-driven surrogate modelling and multi-variable optimization of trickle bed and packed bubble column reactors for CO2 capture via enhanced weathering

Chemical Engineering Journal

2023/2/15

Evaluating alternative low carbon fuel technologies using a stakeholder participation-based q-rung orthopair linguistic multi-criteria framework

Applied Energy

2023/2

Highly active and magnetically recoverable heterogeneous catalyst for hydrothermal liquefaction of biomass into high quality bio-oil

Bioresource Technology

2023/2/1

Swathi Mukundan
Swathi Mukundan

H-Index: 8

Jin Xuan
Jin Xuan

H-Index: 28

Novel porous electrode designs for reversible solid oxide hydrogen planar cell through multi‐physics modeling

Fuel Cells

2023/2

Fuel cell fundamentals

2016/5/2

See List of Professors in Jin Xuan University(Loughborough University)

Co-Authors

academic-engine