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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:

Which Picker Fits My Data? A Quantitative Evaluation of Deep Learning Based Seismic Pickers
Jannes Münchmeyer, Jack Woollam, Andreas Rietbrock, et al.
Journal of Geophysical Research Solid Earth (2022) Vol. 127, Iss. 1
Open Access | Times Cited: 112

Showing 26-50 of 112 citing articles:

SeisAug: A Data Augmentation Python Toolkit
D. Pragnath, G. Srijayanthi, Santosh Kumar, et al.
Applied Computing and Geosciences (2025), pp. 100232-100232
Open Access
PickerXL, A Large Deep Learning Model to Measure Arrival Times from Noisy Seismic Signals
Chengping Chai, Derek Rose, Scott Stewart, et al.
Seismological Research Letters (2025)
Closed Access
A transformer-based real-time earthquake detection framework in heterogeneous environments
Aming Wu, Irshad Khan, Youngwoo Kwon
Scientific Reports (2025) Vol. 15, Iss. 1
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
AI‐PAL: Self‐Supervised AI Phase Picking via Rule‐Based Algorithm for Generalized Earthquake Detection
Yijian Zhou, Hongyang Ding, Abhijit Ghosh, et al.
Journal of Geophysical Research Solid Earth (2025) Vol. 130, Iss. 4
Open Access
Deep Outer‐Rise Faults in the Southern Mariana Subduction Zone Indicated by a Machine‐Learning‐Based High‐Resolution Earthquake Catalog
Han Chen, Hongfeng Yang, Gaohua Zhu, et al.
Geophysical Research Letters (2022) Vol. 49, Iss. 12
Open Access | Times Cited: 22
How well can we predict earthquake site response so far? Machine learning vs physics-based modeling
Chuanbin Zhu, Fabrice Cotton, Hiroshi Kawase, et al.
Earthquake Spectra (2022) Vol. 39, Iss. 1, pp. 478-504
Open Access | Times Cited: 21
LPPN: A Lightweight Network for Fast Phase Picking
Ziye Yu, Weitao Wang
Seismological Research Letters (2022) Vol. 93, Iss. 5, pp. 2834-2846
Closed Access | Times Cited: 20
Comparing and integrating artificial intelligence and similarity search detection techniques: application to seismic sequences in Southern Italy
Francesco Scotto di Uccio, Antonio Scala, Gaetano Festa, et al.
Geophysical Journal International (2022) Vol. 233, Iss. 2, pp. 861-874
Closed Access | Times Cited: 19
A Detailed View of the 2020–2023 Southwestern Puerto Rico Seismic Sequence with Deep Learning
Clara E. Yoon, E. S. Cochran, Elizabeth Vanacore, et al.
Bulletin of the Seismological Society of America (2023) Vol. 113, Iss. 6, pp. 2377-2415
Closed Access | Times Cited: 12
PickBlue: Seismic Phase Picking for Ocean Bottom Seismometers With Deep Learning
Thomas Bornstein, Dietrich Lange, Jannes Münchmeyer, et al.
Earth and Space Science (2023) Vol. 11, Iss. 1
Open Access | Times Cited: 12
Development of a high-performance seismic phase picker using deep learning in the Hakone volcanic area
Ahyi Kim, Yuji Nakamura, Yohei Yukutake, et al.
Earth Planets and Space (2023) Vol. 75, Iss. 1
Open Access | Times Cited: 11
Better Together: Ensemble Learning for Earthquake Detection and Phase Picking
Congcong Yuan, Yiyu Ni, Youzuo Lin, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-17
Closed Access | Times Cited: 11
TTNN: A Physically-Guided Deep Learning Model for Focal Depth and Epicenter Distance Estimation Base on Multistation Waveforms
Duofa Ji, Wenji Fang, Changhai Zhai, 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
Benchmark on the accuracy and efficiency of several neural network based phase pickers using datasets from China Seismic Network
Ziye Yu, Weitao Wang, Yini Chen
Earthquake Science (2023) Vol. 36, Iss. 2, pp. 113-131
Open Access | Times Cited: 10
Relation Between Oceanic Plate Structure, Patterns of Interplate Locking and Microseismicity in the 1922 Atacama Seismic Gap
Diego González‐Vidal, Marcos Moreno, Christian Sippl, et al.
Geophysical Research Letters (2023) Vol. 50, Iss. 15
Open Access | Times Cited: 9
A Practical Approach to Automatic Earthquake Catalog Compilation in Local OBS Networks Using Deep-Learning and Network-Based Algorithms
Matthias Pilot, Vera Schlindwein
Seismological Research Letters (2024) Vol. 95, Iss. 4, pp. 2124-2140
Closed Access | Times Cited: 3
Earthquake monitoring using deep learning with a case study of the Kahramanmaras Turkey earthquake aftershock sequence
Wei Li, Megha Chakraborty, Jonas Köhler, et al.
Solid Earth (2024) Vol. 15, Iss. 2, pp. 197-213
Open Access | Times Cited: 3
Seismic event and phase detection using deep learning for the 2016 Gyeongju earthquake sequence
Jongwon Han, Seongryong Kim, Dong‐Hoon Sheen, et al.
Geosciences Journal (2023) Vol. 27, Iss. 3, pp. 285-295
Closed Access | Times Cited: 8
A Specific Earthquake Processing Workflow for Studying Long‐Lived, Explosive Volcanic Eruptions With Application to the 2008 Okmok Volcano, Alaska, Eruption
Ricardo Garza‐Girón, E. E. Brodsky, Zack Spica, et al.
Journal of Geophysical Research Solid Earth (2023) Vol. 128, Iss. 5
Open Access | Times Cited: 7
Deep‐Learning‐Based Phase Picking for Volcano‐Tectonic and Long‐Period Earthquakes
Yiyuan Zhong, Yen Joe Tan
Geophysical Research Letters (2024) Vol. 51, Iss. 12
Open Access | Times Cited: 2
A multitask encoder–decoder to separate earthquake and ambient noise signal in seismograms
Jiuxun Yin, Marine Denolle, Bing He
Geophysical Journal International (2022) Vol. 231, Iss. 3, pp. 1806-1822
Open Access | Times Cited: 11
An end-to-end DNN-HMM based system with duration modeling for robust earthquake detection
Catalina Murúa, Marcelo Marín, Aarón Cofré, et al.
Computers & Geosciences (2023) Vol. 179, pp. 105434-105434
Closed Access | Times Cited: 6
Learning the Deep and the Shallow: Deep-Learning-Based Depth Phase Picking and Earthquake Depth Estimation
Jannes Münchmeyer, Joachim Saul, Frederik Tilmann
Seismological Research Letters (2023) Vol. 95, Iss. 3, pp. 1543-1557
Closed Access | Times Cited: 6

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