Yonglei Fan

About Yonglei Fan

Yonglei Fan, With an exceptional h-index of 9 and a recent h-index of 9 (since 2020), a distinguished researcher at Queen Mary University of London,

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

Exploring intra-urban human mobility and daily activity patterns from the lens of dockless bike-sharing: A case study of Beijing, China

DeepWE: A Deep Bayesian Active Learning Waypoint Estimator for Indoor walkers

Valorization of waste biomass through hydrothermal liquefaction: A review with focus on linking hydrothermal factors to products characteristics

A Contactless Health Monitoring System for Vital Signs Monitoring, Human Activity Recognition and Tracking

Quantitative spatiotemporal impact of dynamic population density changes on the COVID-19 pandemic in China’s mainland

Using an Internet of Behaviours to study how air pollution can affect people’s activities of daily living: a case study of Beijing, China

Feature merged network for oil spill detection using SAR images

Off-line evaluation of indoor positioning systems in different scenarios: The experiences from IPIN 2020 competition

Yonglei Fan Information

University

Position

___

Citations(all)

242

Citations(since 2020)

242

Cited By

40

hIndex(all)

9

hIndex(since 2020)

9

i10Index(all)

8

i10Index(since 2020)

8

Email

University Profile Page

Google Scholar

Top articles of Yonglei Fan

Exploring intra-urban human mobility and daily activity patterns from the lens of dockless bike-sharing: A case study of Beijing, China

International Journal of Applied Earth Observation and Geoinformation

2023/8/1

DeepWE: A Deep Bayesian Active Learning Waypoint Estimator for Indoor walkers

IEEE Internet of Things Journal

2023/1/6

Valorization of waste biomass through hydrothermal liquefaction: A review with focus on linking hydrothermal factors to products characteristics

2023/1/1

A Contactless Health Monitoring System for Vital Signs Monitoring, Human Activity Recognition and Tracking

IEEE Internet of Things Journal

2023/11/23

Quantitative spatiotemporal impact of dynamic population density changes on the COVID-19 pandemic in China’s mainland

Geo-Spatial Information Science

2023/10/2

Using an Internet of Behaviours to study how air pollution can affect people’s activities of daily living: a case study of Beijing, China

Sensors

2021/8/18

Feature merged network for oil spill detection using SAR images

Remote Sensing

2021/8/11

A multivariate long short-term memory neural network for coalbed methane production forecasting

Symmetry

2020/12/10

Yonglei Fan
Yonglei Fan

H-Index: 3

Tian Yu
Tian Yu

H-Index: 4

A method for the estimation of finely-grained temporal spatial human population density distributions based on cell phone call detail records

Remote Sensing

2020/8/10

Forecasting of coalbed methane daily production based on T-LSTM neural networks

Symmetry

2020/5/23

Yonglei Fan
Yonglei Fan

H-Index: 3

Tian Yu
Tian Yu

H-Index: 4

A better way to monitor haze through image based upon the adjusted LeNet-5 CNN model

Signal, Image and Video Processing

2020/4

See List of Professors in Yonglei Fan University(Queen Mary University of London)

Co-Authors

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