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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Earthquake Forecasting Using Big Data and Artificial Intelligence: A 30-Week Real-Time Case Study in China
Omar M. Saad, Yunfeng Chen, Alexandros Savvaidis, et al.
Bulletin of the Seismological Society of America (2023) Vol. 113, Iss. 6, pp. 2461-2478
Closed Access | Times Cited: 12

Showing 12 citing articles:

AiRs: Adapter in Remote Sensing for Parameter-Efficient Transfer Learning
Leiyi Hu, Hongfeng Yu, Wanxuan Lu, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-18
Closed Access | Times Cited: 7
How Big Data Can Help to Monitor the Environment and to Mitigate Risks due to Climate Change: A review
Jean‐Philippe Montillet, Gaël Kermarrec, Ehsan Forootan, et al.
IEEE Geoscience and Remote Sensing Magazine (2024) Vol. 12, Iss. 2, pp. 67-89
Closed Access | Times Cited: 7
Detection Of Seismic Anisotropy And Azimuthally Varying Resonances From Seismic Data Recorded At The Noto Peninsula Using Seismic Interferometry And Empirical Mode Decomposition
Pech-PerezAndrés Pech-Pérez
Results in Earth Sciences (2025), pp. 100063-100063
Open Access
Foundations for an Operational Earthquake Prediction System
Angelo De Santis, Gianfranco Cianchini, Loredana Perrone, et al.
Geosciences (2025) Vol. 15, Iss. 2, pp. 69-69
Open Access
Cross‐Domain Foundation Model Adaptation: Pioneering Computer Vision Models for Geophysical Data Analysis
Zhixiang Guo, Xinming Wu, Luming Liang, et al.
Journal of Geophysical Research Machine Learning and Computation (2025) Vol. 2, Iss. 1
Open Access
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) Vol. 1, Iss. 2
Open Access | Times Cited: 3
A review on how Big Data can help to monitor the environment and to mitigate risks due to climate change
Jean‐Philippe Montillet, Gaël Kermarrec, Ehsan Forootan, et al.
EarthArXiv (California Digital Library) (2024)
Open Access | Times Cited: 2
Classifying and Forecasting Seismic Event Characteristics Using Artificial Intelligence
Kameron Bustos, Abbas Maazallahi, Mohammad Amir Salari, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 2
Successful Tests on Detecting Pre-Earthquake Magnetic Field Signals from Space
Homayoon Alimoradi, Habib Rahimi, Angelo De Santis
Remote Sensing (2024) Vol. 16, Iss. 16, pp. 2985-2985
Open Access | Times Cited: 2
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) Vol. 12, Iss. 3, pp. SD37-SD75
Closed Access | Times Cited: 1
Empowering Machine Learning Forecasting of Labquake Using Event‐Based Features and Clustering Characteristics
Sadegh Karimpouli, Grzegorz Kwiatek, Yehuda Ben‐Zion, et al.
Journal of Geophysical Research Machine Learning and Computation (2024) Vol. 1, Iss. 2
Open Access
Earthquake signal detection using a multi-scale feature fusion network with hybrid attention mechanism
Yang Cui, Ming Bai, Min Bai, et al.
Geophysical Journal International (2024) Vol. 240, Iss. 2, pp. 988-1008
Open Access
More machine learning earthquake predictions make it into print
Kyle Bradley, Judith Hubbard
(2024)
Open Access
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