David Topping

David Topping

Manchester University

H-index: 43

North America-United States

About David Topping

David Topping, With an exceptional h-index of 43 and a recent h-index of 27 (since 2020), a distinguished researcher at Manchester University, specializes in the field of Aerosol.

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

Improving Urban Climate Adaptation Modelling in the Community Earth System Model (CESM) Through Transient Urban Surface Albedo Representation

Study of the Suitability of a Personal Exposure Monitor to Assess Air Quality

Variation in fluorescent biological aerosol particles over the urban area during Asian dust events

Prioritize environmental sustainability in use of AI and data science methods

Environmental data, governance and the sustainable city

Using explainable machine learning to better understand source and process contributions to atmospheric bio-aerosol

Enhancing Climate Resilience in IoT Devices: Challenges, innovations, and best practices.

Use of deep learning and a partial convolutional neural network to gap-fill a long term time series of NO2 columns from satellite impacted by cloud

David Topping Information

University

Position

___

Citations(all)

5861

Citations(since 2020)

2946

Cited By

4251

hIndex(all)

43

hIndex(since 2020)

27

i10Index(all)

71

i10Index(since 2020)

56

Email

University Profile Page

Google Scholar

David Topping Skills & Research Interests

Aerosol

Top articles of David Topping

Title

Journal

Author(s)

Publication Date

Improving Urban Climate Adaptation Modelling in the Community Earth System Model (CESM) Through Transient Urban Surface Albedo Representation

Yuan Sun

Bowen Fang

Keith W Oleson

Lei Zhao

David O Topping

...

2024/4/3

Study of the Suitability of a Personal Exposure Monitor to Assess Air Quality

Atmosphere

Halah E Aljofi

Thomas J Bannan

Michael Flynn

James Evans

David Topping

...

2024/3/2

Variation in fluorescent biological aerosol particles over the urban area during Asian dust events

Martin Gallagher

2024/4/14

Prioritize environmental sustainability in use of AI and data science methods

Nature Geoscience

Caroline Jay

Yurong Yu

Ian Crawford

Scott Archer-Nicholls

Philip James

...

2024/1/26

Environmental data, governance and the sustainable city

James Evans

Maria Pregnolato

Christopher DF Rogers

Jim A Harris

David Topping

2024/1/22

Using explainable machine learning to better understand source and process contributions to atmospheric bio-aerosol

Martin Gallagher

2024/4/14

Enhancing Climate Resilience in IoT Devices: Challenges, innovations, and best practices.

Dinara Zhunissova

David Topping

James Evans

2024/3/7

Use of deep learning and a partial convolutional neural network to gap-fill a long term time series of NO2 columns from satellite impacted by cloud

Hugh Coe

David Topping

Zhonghua Zheng

Congbo Song

Hao Zhang

2024/3/7

Towards a UK Airborne Bioaerosol Climatology: Real-Time Monitoring Strategies for High Time Resolution Bioaerosol Classification and Quantification

Atmosphere

Ian Crawford

Keith Bower

David Topping

Simone Di Piazza

Dario Massabò

...

2023/7/28

Long-term exposure to air pollution and COVID-19 severity: A cohort study in Greater Manchester, United Kingdom

Environmental Pollution

Samuel Hyman

Jiawei Zhang

Zorana Jovanovic Andersen

Sheena Cruickshank

Peter Møller

...

2023/6/15

Deep learning based classification of biological aerosols

EGU General Assembly Conference Abstracts

Hao Zhang

David Topping

Ian Crawford

Martin Gallagher

Man Nin Chan

...

2023/5

Comparative Analysis of Traditional and Advanced Clustering Techniques in Bioaerosol Data: Evaluating the Efficacy of K-Means, HCA, and GenieClust with and without Autoencoder …

Atmosphere

Maxamillian AN Moss

Dagen D Hughes

Ian Crawford

Martin W Gallagher

Michael J Flynn

...

2023/9/8

Accurate forecasting of pollen concentration in real time using machine learning

Zhuo Chen

David Topping

Ian Crawford

2023/2/22

Assessing the Accuracy of Air Quality Personal Exposure Monitors

Halah E Aljofi

Thomas J Bannan

Michael Flynn

James Z Evans

David O Topping

...

2023/8/29

A comparison of experience sampled hay fever symptom severity across rural and urban areas of the UK

Scientific Reports

Ann Gledson

Douglas Lowe

Manuele Reani

David Topping

Ian Hall

...

2023/2/21

UK daily meteorology, air quality, and pollen measurements for 2016–2019, with estimates for missing data

Scientific Data

Manuele Reani

Douglas Lowe

Ann Gledson

David Topping

Caroline Jay

2022/2/9

A Data Integration Approach to Estimating Personal Exposures to Air Pollution

Matthew L Thomas

Gavin Shaddick

David Topping

Karyn Morrissey

Thomas J Brannan

...

2022/12/17

A case study application of machine-learning for the detection of greenhouse gas emission sources

Atmospheric Pollution Research

Jacob T Shaw

Grant Allen

David Topping

Stuart K Grange

Patrick Barker

...

2022/10/1

Monitoring and understanding urban transformation: A mixed method approach

Frontiers in sustainable cities

Thomas J Bannan

James Evans

Jack S Benton

Pete Edwards

Sebastian Diez

...

2022/1/13

The'Mine-the-Gaps' geospatial web application for visualizing and evaluating regional environmental data estimates

EGU General Assembly Conference Abstracts

Ann Gledson

Douglas Lowe

Manuele Reani

David Topping

Caroline Jay

2022/5

See List of Professors in David Topping University(Manchester University)