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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:

Recent advances in earthquake seismology using machine learning
Hisahiko Kubo, Makoto Naoi, Masayuki Kano
Earth Planets and Space (2024) Vol. 76, Iss. 1
Open Access | Times Cited: 19

Showing 19 citing articles:

Comparative seismic analysis of symmetrical and asymmetrical G + 7 structures using STAAD.Pro: insights into performance and material efficiency
Esar Ahmad, Lizina Khatua, Krushna Chandra Sethi, et al.
Asian Journal of Civil Engineering (2025)
Closed Access | Times Cited: 6
A GNSS‐Velocity Clustering Method Applicable at Local to Global Scales
Atsushi Takahashi, Keisuke Yano, Masayuki Kano
Journal of Geophysical Research Solid Earth (2025) Vol. 130, Iss. 2
Open Access
Machine Learning-based Analysis of the 2015 M5.8 Alxa Left Banner Earthquake Sequence
Fan Zhang, Xiaoming Han, Dong Pei, et al.
Applied Geophysics (2025)
Closed Access
Relationships between fault friction, slip time, and physical parameters explored by experiment-based friction model: A Machine Learning Approach Using Recurrent Neural Networks (RNNs)
Tae-hoon UHMB, Yohei Hamada, Takehiro Hirose
Applied Computing and Geosciences (2025), pp. 100231-100231
Open Access
Application of artificial intelligence technology in the study of anthropogenic earthquakes: a review
Jingwei Li, Hongyu Zhai, Changsheng Jiang, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 5
Open Access
High-resolution monitoring of hydraulically induced acoustic emission activities using neural phase picking and matched filter analysis
Makoto Naoi, Shiro Hirano, Youqing Chen
Progress in Earth and Planetary Science (2025) Vol. 12, Iss. 1
Open Access
Pore pressure inhibits clustering of induced earthquakes in Western Canada
Bing Q. Li
Proceedings of the National Academy of Sciences (2025) Vol. 122, Iss. 2
Closed Access
Determination of Anatolian Plate’s tectonic block boundaries with clustering analysis using GNSS sites velocities
Şeyma ŞAFAK YAŞAR, İbrahim Tiryakioğlu, Bahadır Aktuğ, et al.
Geomatics Natural Hazards and Risk (2025) Vol. 16, Iss. 1
Open Access
Detecting Slow Slip Signals in Southwest Japan Based on Machine Learning Trained by Real GNSS Time Series
Y. Tanaka, Masayuki Kano, Keisuke Yano
Journal of Geophysical Research Solid Earth (2025) Vol. 130, Iss. 2
Open Access
Physics-informed deep learning of rate-and-state fault friction
Cody Rucker, Brittany A. Erickson
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 430, pp. 117211-117211
Open Access | Times Cited: 3
A Review of Rotational Seismology Area of Interest from a Recording and Rotational Sensors Point of View
Anna Kurzych, Leszek R. Jaroszewicz
Sensors (2024) Vol. 24, Iss. 21, pp. 7003-7003
Open Access | Times Cited: 1
Neural Phase Picker Trained on the Japan Meteorological Agency Unified Earthquake Catalog
Makoto Naoi, Koji Tamaribuchi, Kengo Shimojo, et al.
Research Square (Research Square) (2024)
Closed Access
Integration of Machine learning and equal differential time method for enhanced hypocenter localization in earthquake early warning systems: application to dense seismic arrays in Taiwan
Jia-Xiang Lian, Wu‐Yu Liao, En‐Jui Lee, et al.
Earth Planets and Space (2024) Vol. 76, Iss. 1
Open Access
Predictive modeling of shear strength in fly ash-stabilized clayey soils using artificial neural networks and support vector regression
Nadeem Mehraj Wani, Parwati Thagunna
Asian Journal of Civil Engineering (2024)
Closed Access
Application of machine learning methods for earthquake detection from high-density temporary observation seismic records on a volcanic island
Hiroyuki Azuma, Hikaru Kunimasa, Adrianto Widi Kusumo, et al.
Journal of Applied Geophysics (2024) Vol. 230, pp. 105503-105503
Closed Access
Self-supervised learning of seismological data reveals new eruptive sequences at the Mayotte submarine volcano
Joachim Rimpôt, Clément Hibert, Lise Retailleau, et al.
Geophysical Journal International (2024) Vol. 240, Iss. 1, pp. 1-12
Open Access
Slithering Intelligence for Predicting Tectonic Plate Movement
Maheswari Raja, A. Nisthana Parveen, Manobalan Manokaran, et al.
Advances in computational intelligence and robotics book series (2024), pp. 235-252
Closed Access
An adaptive parameter-free seismic data denoising approach by combining general cross-validation thresholding and pixel connectivity in synchrosqueezed domain
Zhiyi Zeng, Peng Han, Wei Zhang, et al.
Earth Planets and Space (2024) Vol. 76, Iss. 1
Open Access
Neural phase picker trained on the Japan meteorological agency unified earthquake catalog
Makoto Naoi, Koji Tamaribuchi, Kengo Shimojo, et al.
Earth Planets and Space (2024) Vol. 76, Iss. 1
Open Access
A New Catalogue and Insights into the 2022 Adriatic Offshore Seismic Sequence Using a Machine Learning-Based Procedure
Antonio Costanzo
Sensors (2024) Vol. 25, Iss. 1, pp. 82-82
Open Access
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