CHAO YANG

About CHAO YANG

CHAO YANG, With an exceptional h-index of 16 and a recent h-index of 15 (since 2020), a distinguished researcher at China University of Geosciences Wuhan, specializes in the field of GIS.

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

DSFNet: Dual-Stream-Fusion Network for Farmland Parcel Mapping in High-Resolution Satellite Images

Social Media User's Activity Classification Integrating Image and Spatiotemporal Information

Understanding Citizens' emotion States under the Urban Livability Environment through Social Media Data: a Case Study of Wuhan.

Exploring the relationship among human activities, COVID-19 morbidity, and at-risk areas using location-based social media data: Knowledge about the early pandemic stage in Wuhan

A parametric multivariate drought index for drought monitoring and assessment under climate change

A multi-level improved circle pooling for scene classification of high-resolution remote sensing imagery

Quantifying the uncertainty of precipitation forecasting using probabilistic deep learning

Understanding spatio-temporal patterns of land use/land cover change under urbanization in Wuhan, China, 2000–2019

CHAO YANG Information

University

Position

___

Citations(all)

834

Citations(since 2020)

657

Cited By

334

hIndex(all)

16

hIndex(since 2020)

15

i10Index(all)

21

i10Index(since 2020)

18

Email

University Profile Page

Google Scholar

CHAO YANG Skills & Research Interests

GIS

Top articles of CHAO YANG

DSFNet: Dual-Stream-Fusion Network for Farmland Parcel Mapping in High-Resolution Satellite Images

2023/7/25

Social Media User's Activity Classification Integrating Image and Spatiotemporal Information

Geomatics and Information Science of Wuhan University

2023/3/5

Understanding Citizens' emotion States under the Urban Livability Environment through Social Media Data: a Case Study of Wuhan.

Journal of Geodesy & Geoinformation Science

2022/6/1

Exploring the relationship among human activities, COVID-19 morbidity, and at-risk areas using location-based social media data: Knowledge about the early pandemic stage in Wuhan

International Journal of Environmental Research and Public Health

2022/5/27

Tong Liu
Tong Liu

H-Index: 5

Chao Yang
Chao Yang

H-Index: 9

A parametric multivariate drought index for drought monitoring and assessment under climate change

Agricultural and Forest Meteorology

2021/11/15

A multi-level improved circle pooling for scene classification of high-resolution remote sensing imagery

Neurocomputing

2021/10/28

Quantifying the uncertainty of precipitation forecasting using probabilistic deep learning

Hydrology and Earth System Sciences Discussions

2021/8/25

Lei Xu
Lei Xu

H-Index: 3

Chao Yang
Chao Yang

H-Index: 9

Understanding spatio-temporal patterns of land use/land cover change under urbanization in Wuhan, China, 2000–2019

Remote Sensing

2021/8/23

Deep object-centric pooling in convolutional neural network for remote sensing scene classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

2021/7/27

A Gaussian Kernel-based spatiotemporal fusion model for agricultural remote sensing monitoring

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

2021/3/17

Rotation invariance regularization for remote sensing image scene classification with convolutional neural networks

Remote Sensing

2021/2/5

Spatiotemporal in-formation fusion method of user and social media activity

Journal of Autonomous Intel-ligence

2021

An adversarial generative network for crop classification from remote sensing timeseries images

Remote Sensing

2020/12/26

Jingtao Li
Jingtao Li

H-Index: 5

Chao Yang
Chao Yang

H-Index: 9

Remote Sensing Scene Classification Using Spatial Transformer Fusion Network

2020/9/26

Drought propagation in Northern China Plain: A comparative analysis of GLDAS and MERRA-2 datasets

Journal of Hydrology

2020/9/1

Mining spatiotemporal association patterns from complex geographic phenomena

International Journal of Geographical Information Science

2020/6/2

Polycentric circle pooling in deep convolutional networks for high-resolution remote sensing image recognition

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

2020/1/31

See List of Professors in CHAO YANG University(China University of Geosciences Wuhan)

Co-Authors

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