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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:

DiTingMotion: A deep-learning first-motion-polarity classifier and its application to focal mechanism inversion
Ming Zhao, Zhuowei Xiao, Miao Zhang, et al.
Frontiers in Earth Science (2023) Vol. 11
Open Access | Times Cited: 21

Showing 21 citing articles:

Fast report: seismogenic structure of the 2025 M6.4 dapu earthquake sequence in western Taiwan revealed by a deep-learning-empowered earthquake catalog
Wu‐Yu Liao, En‐Jui Lee, Ruey‐Juin Rau, et al.
Terrestrial Atmospheric and Oceanic Sciences (2025) Vol. 36, Iss. 1
Open Access | Times Cited: 1
CREDIT-X1local: A reference dataset for machine learning seismology from ChinArray in Southwest China
Lu Li, Weitao Wang, Ziye Yu, et al.
Earthquake Science (2024) Vol. 37, Iss. 2, pp. 139-157
Open Access | Times Cited: 5
GFFMNet: Prediction Method for Coal Mine Seismic Focal Mechanisms Based on GCN
Kai Zhan, Xigui Zheng, Rui Xu, et al.
Rock Mechanics and Rock Engineering (2025)
Closed Access
Deriving focal mechanism solutions of small to moderate earthquakes in Sichuan, China via a deep learning method
Chen Zhang, Ji Zhang, Jie Zhang
Earthquake research advances (2025), pp. 100371-100371
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
Microseismic moment tensor inversion based on ResNet model
J. Yan, Li Ma, Tianqi Jiang, et al.
Artificial Intelligence in Geosciences (2025), pp. 100107-100107
Open Access
A Microseismic Phase Picking and Polarity Determination Model Based on the Earthquake Transformer
Ling Peng, Lei Li, Xiaobao Zeng
Applied Sciences (2025) Vol. 15, Iss. 7, pp. 3424-3424
Open Access
Inversion of Stress Redistribution Based on Focal Mechanism Solutions: A Case Study of the Dongtan Coal Mine
Kai Zhan, Hao Luo, Rui Xu, et al.
Rock Mechanics and Rock Engineering (2025)
Closed Access
Deep learning for P-wave first-motion polarity determination and its application in focal mechanism inversion
Yangkang Chen, Omar M. Saad, Alexandros Savvaidis, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-11
Closed Access | Times Cited: 4
RPNet: Robust P-Wave First-Motion Polarity Determination Using Deep Learning
Jongwon Han, Seongryong Kim, Dong‐Hoon Sheen
Seismological Research Letters (2025)
Closed Access
FocMech-Flow: Automatic Determination of P-Wave First-Motion Polarity and Focal Mechanism Inversion and Application to the 2021 Yangbi Earthquake Sequence
Shuai Li, Lihua Fang, Zhuowei Xiao, et al.
Applied Sciences (2023) Vol. 13, Iss. 4, pp. 2233-2233
Open Access | Times Cited: 9
How Induced Earthquakes Respond to Pre‐Existing Fractures and Hydraulic Fracturing Operations? A Case Study in South China
Dewei Li, Miao Zhang, Jing Zheng, et al.
Journal of Geophysical Research Solid Earth (2024) Vol. 129, Iss. 9
Open Access | Times Cited: 3
Discrimination of earthquakes, explosions, and collapses based on the deep learning: Applications to DiTing 2.0 dataset
Zujian Yang, Xiao Tian, Xiangteng Wang, et al.
Computers & Geosciences (2024), pp. 105830-105830
Closed Access | Times Cited: 2
SeisT: A Foundational Deep-Learning Model for Earthquake Monitoring Tasks
Sen Li, Yang Xu, Anye Cao, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-15
Closed Access | Times Cited: 1
CFM: a convolutional neural network for first-motion polarity classification of seismic records in volcanic and tectonic areas
Giovanni Messuti, Silvia Scarpetta, Ortensia Amoroso, et al.
Frontiers in Earth Science (2023) Vol. 11
Open Access | Times Cited: 2
Simultaneous Magnitude and Slip Distribution Characterization from High Rate GNSS using Deep Learning: Case Studies of the 2021 Mw 7.4 Maduo and 2023 Turkey Doublet Events
Wenfeng Cui, Kejie Chen, Guoguang Wei, et al.
Geophysical Journal International (2024) Vol. 238, Iss. 1, pp. 91-108
Open Access
Inversion of mining-induced stress field based on focal mechanism solutions: a case study of the 63upper06 working face in Dongtan Coal Mine
Xianyang Yan, Rui Xu, Kai Zhan, et al.
Frontiers in Earth Science (2024) Vol. 12
Open Access
High‐Resolution Seismicity and Ground Motion Variability Across the Highly Locked Southern Anninghe Fault With Dense Seismic Arrays and Machine Learning Techniques
Junhao Song, Hongfeng Yang, Huajian Yao
Journal of Geophysical Research Solid Earth (2024) Vol. 129, Iss. 9
Open Access
Detection and Monitoring of Mining-Induced Seismicity Based on Machine Learning and Template Matching: A Case Study from Dongchuan Copper Mine, China
Tao Wu, Zhikun Liu, Shaopeng Yan
Sensors (2024) Vol. 24, Iss. 22, pp. 7312-7312
Open Access
NaNDC: Full Moment Tensor Inversion and Uncertainty Analysis for Large-N Monitored Small Earthquakes
Lichun Yang, Ruijia Wang
Seismological Research Letters (2024) Vol. 96, Iss. 2A, pp. 1150-1162
Closed Access
CREDIT-X1local: A Reference Earthquake Dataset for Machine Learning from ChinArray Covering the Southern North-South Seismic Zone
Lu Li, Weitao Wang, Ziye Yu, et al.
(2023)
Closed Access
SeisT: A foundational deep learning model for earthquake monitoring tasks
Sen Li, Xu Yang, Anye Cao, et al.
arXiv (Cornell University) (2023)
Open Access
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