Fangxin Fang

Fangxin Fang

Imperial College London

H-index: 35

Europe-United Kingdom

About Fangxin Fang

Fangxin Fang, With an exceptional h-index of 35 and a recent h-index of 29 (since 2020), a distinguished researcher at Imperial College London, specializes in the field of Data assimilation, machine learning and reduced order modelling, fluid modelling, adaptive meshes, air pollution.

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

Prioritising Actions for Improving Classroom Air Quality Based on the Analytic Hierarchy Process: Case Studies in China and the UK

A hybrid data‐driven and data assimilation method for spatiotemporal forecasting: PM2. 5 forecasting in China

Nonstationary seismic–well tying with time-varying wavelets

Assessing uncertainty and heterogeneity in machine learning-based spatiotemporal ozone prediction in Beijing-Tianjin-Hebei region in China

Modeling for understanding of coronavirus disease-2019 (COVID-19) spread and design of an isolation room in a hospital

A quantitative evaluation model of outdoor dynamic thermal comfort and adaptation: A year-long longitudinal field study

Challenges and Prospects for Numerical Techniques in Atmospheric Modeling

A reduced order with data assimilation model: Theory and practice

Fangxin Fang Information

University

Position

Senior Research Fellow Earth Science and Engineering

Citations(all)

3793

Citations(since 2020)

2390

Cited By

2358

hIndex(all)

35

hIndex(since 2020)

29

i10Index(all)

62

i10Index(since 2020)

47

Email

University Profile Page

Imperial College London

Google Scholar

View Google Scholar Profile

Fangxin Fang Skills & Research Interests

Data assimilation

machine learning and reduced order modelling

fluid modelling

adaptive meshes

air pollution

Top articles of Fangxin Fang

Title

Journal

Author(s)

Publication Date

Prioritising Actions for Improving Classroom Air Quality Based on the Analytic Hierarchy Process: Case Studies in China and the UK

Indoor Air

Ziyu Shu

Feng Yuan

Jie Wang

Jian Zang

Baizhan Li

...

2024/4/27

A hybrid data‐driven and data assimilation method for spatiotemporal forecasting: PM2. 5 forecasting in China

Journal of Advances in Modeling Earth Systems

Shengjuan Cai

Fangxin Fang

Xiao Tang

Jiang Zhu

Yanghua Wang

2024/2

Nonstationary seismic–well tying with time-varying wavelets

Geophysics

Shengjuan Cai

Fangxin Fang

Yanghua Wang

2023/5/1

Assessing uncertainty and heterogeneity in machine learning-based spatiotemporal ozone prediction in Beijing-Tianjin-Hebei region in China

Science of The Total Environment

Meiling Cheng

Fangxin Fang

Ionel Michael Navon

Jie Zheng

Jiang Zhu

...

2023/7/10

Modeling for understanding of coronavirus disease-2019 (COVID-19) spread and design of an isolation room in a hospital

Physics of Fluids

Xiaofei Wu

Hisham Abubakar-Waziri

Fangxin Fang

Claire Dilliway

Pin Wu

...

2023/2/1

A quantitative evaluation model of outdoor dynamic thermal comfort and adaptation: A year-long longitudinal field study

Building and Environment

Tiantian Xu

Runming Yao

Chenqiu Du

Baizhan Li

Fangxin Fang

2023/6/1

Challenges and Prospects for Numerical Techniques in Atmospheric Modeling

Jinxi Li

Yiguan Li

Jürgen Steppeler

Audine Laurian

Fangxin Fang

...

2023/2

A reduced order with data assimilation model: Theory and practice

Computers & Fluids

Rossella Arcucci

Dunhui Xiao

Fangxin Fang

Ionel Michael Navon

Pin Wu

...

2023/5/15

SARS-CoV2 in public spaces in West London, UK during COVID-19 pandemic

BMJ open respiratory research

Hisham Abubakar-Waziri

Gopinath Kalaiarasan

Rebecca Wawman

Faye Hobbs

Ian Adcock

...

2023/5/1

A long short-term memory neural network-based error estimator for three-dimensional dynamically adaptive mesh generation

Physics of Fluids

X Wu

P Gan

J Li

F Fang

X Zou

...

2023/10/1

Ensemble Kalman filter for GAN-ConvLSTM based long lead-time forecasting

Journal of Computational Science

Meiling Cheng

Fangxin Fang

Ionel M Navon

Christopher Pain

2023/5/1

A non‐linear non‐intrusive reduced order model of fluid flow by auto‐encoder and self‐attention deep learning methods

International Journal for Numerical Methods in Engineering

Rui Fu

Dunhui Xiao

Ionel Michael Navon

Fangxin Fang

Liang Yang

...

2023/7/15

Spatio‐temporal hourly and daily ozone forecasting in China using a hybrid machine learning model: Autoencoder and generative adversarial networks

Journal of Advances in Modeling Earth Systems

Meiling Cheng

Fangxin Fang

Ionel M Navon

Jie Zheng

Xiao Tang

...

2022/3

微分可能な流束表現を用いた o2o3 局所ガラーキン法

気象集誌. 第 2 輯

STEPPELER Jürgen

LI Jinxi

FANG Fangxin

ZHU Jiang

2022

The o2o3 Local Galerkin Method Using a Differentiable Flux Representation

Journal of the Meteorological Society of Japan. Ser. II

Jürgen Steppeler

Jinxi Li

Fangxin Fang

Jiang Zhu

2022

Active air monitoring for understanding the ventilation and infection risks of SARS-CoV-2 transmission in public indoor spaces

Atmosphere

Prashant Kumar

Gopinath Kalaiarasan

Rajesh K Bhagat

Sharon Mumby

Ian M Adcock

...

2022/12/8

A non-intrusive reduced order model with transformer neural network and its application

Physics of Fluids

Pin Wu

Feng Qiu

Weibing Feng

Fangxing Fang

Christopher Pain

2022/11/1

SARS-CoV2 and air pollution interactions: airborne transmission and COVID-19

Molecular Frontiers Journal

Kian Fan Chung

Hisham Abubakar-Waziri

Gopinath Kalaiarasan

Ian M Adcock

Claire Dilliway

...

2022/6/14

Numerical study of COVID-19 spatial–temporal spreading in London

Physics of Fluids

Jie Zheng

Xiaofei Wu

Fangxin Fang

Jinxi Li

Zifa Wang

...

2021/4/1

Feasibility of DEIM for retrieving the initial field via dimensionality reduction

Journal of Computational Physics

Yuepeng Wang

Xuemei Ding

Kun Hu

Fangxin Fang

IM Navon

...

2021/3/15

See List of Professors in Fangxin Fang University(Imperial College London)

Co-Authors

H-index: 58
christopher pain

christopher pain

Imperial College London

H-index: 42
Matthew Piggott

Matthew Piggott

Imperial College London

H-index: 41
Peter A. Allison

Peter A. Allison

Imperial College London

H-index: 35
Gerard Gorman

Gerard Gorman

Imperial College London

H-index: 29
Jiansheng Xiang

Jiansheng Xiang

Imperial College London

H-index: 27
Ahmed H. Elsheikh

Ahmed H. Elsheikh

Heriot-Watt University

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