Earthquake Forecasting Using Big Data and Artificial Intelligence: A 30‐Week Real‐Time Case Study in China | Citedby Results | Bulletin of the Seismological Society of America | GeoScienceWorld

Skip to Main Content

Skip Nav Destination

Earthquake Forecasting Using Big Data and Artificial Intelligence: A 30‐Week Real‐Time Case Study in China

Bulletin of the Seismological Society of America (2023) 113 (6): 2461–2478.

This article has been cited by the following articles in journals that are participating in CrossRef Cited-by Linking.

AiRs: Adapter in Remote Sensing for Parameter-Efficient Transfer Learning

Leiyi Hu
Hongfeng Yu
Wanxuan Lu
Dongshuo Yin
Xian Sun
Kun Fu

IEEE Transactions on Geoscience and Remote Sensing (2024) 62: 1.

Successful Tests on Detecting Pre-Earthquake Magnetic Field Signals from Space

Homayoon Alimoradi
Habib Rahimi
Angelo De Santis

Remote Sensing (2024) 16 (16): 2985.

How Big Data Can Help to Monitor the Environment and to Mitigate Risks due to Climate Change: A review

J.-P. Montillet
G. Kermarrec
E. Forootan
M. Haberreiter
X. He
W. Finsterle
R. Fernandes
C. K. Shum

IEEE Geoscience and Remote Sensing Magazine (2024) 12 (2): 67.

Empowering Machine Learning Forecasting of Labquake Using Event‐Based Features and Clustering Characteristics

Sadegh Karimpouli
Grzegorz Kwiatek
Yehuda Ben‐Zion
Patricia Martínez‐Garzón
Georg Dresen
Marco Bohnhoff

Journal of Geophysical Research: Machine Learning and Computation (2024) 1 (2)

Study on Geomagnetic Observations Associated With Three Major Earthquakes in Southwest China Through a Novel Deep Learning Framework

Zining Yu
Yufeng Jiang
Xilong Jing
Haiyong Zheng

IEEE Transactions on Geoscience and Remote Sensing (2024) 62: 1.

Crustal stress buildup/relaxation and pore pressure in preparation and sequential brittle-shear fault rupture — Implications for a general theory of earthquake nucleation

Clay Kurison

Interpretation (2024) 12 (3): SD37.

Characterizing Seasonality and Trend From In Situ Time‐Series Observations Using Explainable Deep Learning for Ground Deformation Forecasting

Zhengjing Ma
Gang Mei
Nengxiong Xu

Journal of Geophysical Research: Machine Learning and Computation (2024) 1 (2)