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:

Deep Learning for Geophysics: Current and Future Trends
Siwei Yu, Jianwei Ma
Reviews of Geophysics (2021) Vol. 59, Iss. 3
Open Access | Times Cited: 315

Showing 1-25 of 315 citing articles:

Big Data in Earth system science and progress towards a digital twin
Xin Li, Min Feng, Youhua Ran, et al.
Nature Reviews Earth & Environment (2023) Vol. 4, Iss. 5, pp. 319-332
Closed Access | Times Cited: 114

Deep learning in hydrology and water resources disciplines: concepts, methods, applications, and research directions
Kumar Puran Tripathy, Ashok K. Mishra
Journal of Hydrology (2023) Vol. 628, pp. 130458-130458
Closed Access | Times Cited: 81

Machine learning in microseismic monitoring
Denis Anikiev, Claire Birnie, Umair bin Waheed, et al.
Earth-Science Reviews (2023) Vol. 239, pp. 104371-104371
Open Access | Times Cited: 59

Artificial intelligence for geoscience: Progress, challenges and perspectives
Tianjie Zhao, Sheng Wang, Chaojun Ouyang, et al.
The Innovation (2024) Vol. 5, Iss. 5, pp. 100691-100691
Open Access | Times Cited: 47

Sensing prior constraints in deep neural networks for solving exploration geophysical problems
Xinming Wu, Jianwei Ma, Xu Si, et al.
Proceedings of the National Academy of Sciences (2023) Vol. 120, Iss. 23
Open Access | Times Cited: 43

Rockburst prediction and prevention in underground space excavation
Jian Zhou, Yulin Zhang, Chuanqi Li, et al.
Underground Space (2023) Vol. 14, pp. 70-98
Open Access | Times Cited: 43

Application of geophysical well logs in solving geologic issues: Past, present and future prospect
Jin Lai, Yang Su, Xiaoxia Lü, et al.
Geoscience Frontiers (2024) Vol. 15, Iss. 3, pp. 101779-101779
Open Access | Times Cited: 26

Big Data Seismology
Stephen Arrowsmith, Daniel T. Trugman, J. MacCarthy, et al.
Reviews of Geophysics (2022) Vol. 60, Iss. 2
Open Access | Times Cited: 47

MLReal: Bridging the gap between training on synthetic data and real data applications in machine learning
Tariq Alkhalifah, Hanchen Wang, Oleg Ovcharenko
Artificial Intelligence in Geosciences (2022) Vol. 3, pp. 101-114
Open Access | Times Cited: 45

Applications of deep neural networks in exploration seismology: A technical survey
S. Mostafa Mousavi, Gregory C. Beroza, Tapan Mukerji, et al.
Geophysics (2023) Vol. 89, Iss. 1, pp. WA95-WA115
Closed Access | Times Cited: 37

FWIGAN: Full‐Waveform Inversion via a Physics‐Informed Generative Adversarial Network
Fangshu Yang, Jianwei Ma
Journal of Geophysical Research Solid Earth (2023) Vol. 128, Iss. 4
Closed Access | Times Cited: 34

Fourier-DeepONet: Fourier-enhanced deep operator networks for full waveform inversion with improved accuracy, generalizability, and robustness
Min Zhu, Shihang Feng, Youzuo Lin, et al.
Computer Methods in Applied Mechanics and Engineering (2023) Vol. 416, pp. 116300-116300
Open Access | Times Cited: 34

IncepTCN: A new deep temporal convolutional network combined with dictionary learning for strong cultural noise elimination of controlled-source electromagnetic data
Guang Li, Shengzhuang Wu, Hongzhu Cai, et al.
Geophysics (2023) Vol. 88, Iss. 4, pp. E107-E122
Closed Access | Times Cited: 32

Optimal Postprocessing Strategies With LSTM for Global Streamflow Prediction in Ungauged Basins
Senlin Tang, Fubao Sun, Wenbin Liu, et al.
Water Resources Research (2023) Vol. 59, Iss. 7
Closed Access | Times Cited: 32

Physics-Guided Data-Driven Seismic Inversion: Recent progress and future opportunities in full-waveform inversion
Youzuo Lin, James Theiler, Brendt Wohlberg
IEEE Signal Processing Magazine (2023) Vol. 40, Iss. 1, pp. 115-133
Closed Access | Times Cited: 26

Double-scale supervised inversion with a data-driven forward model for low-frequency impedance recovery
Sanyi Yuan, Xinqi Jiao, Yaneng Luo, et al.
Geophysics (2021) Vol. 87, Iss. 2, pp. R165-R181
Closed Access | Times Cited: 47

S-wave velocity inversion and prediction using a deep hybrid neural network
Jun Wang, Junxing Cao, Shuang Zhao, et al.
Science China Earth Sciences (2022) Vol. 65, Iss. 4, pp. 724-741
Closed Access | Times Cited: 33

Implementation of free and open-source semi-automatic feature engineering tool in landslide susceptibility mapping using the machine-learning algorithms RF, SVM, and XGBoost
Emrehan Kutluğ Şahin
Stochastic Environmental Research and Risk Assessment (2022) Vol. 37, Iss. 3, pp. 1067-1092
Closed Access | Times Cited: 29

Physics-informed neural network for inverse modeling of natural-state geothermal systems
Kazuya Ishitsuka, Weiren Lin
Applied Energy (2023) Vol. 337, pp. 120855-120855
Open Access | Times Cited: 20

Time-lapse seismic inversion for CO2 saturation with SeisCO2Net: An application to Frio-II site
Zi Xian Leong, Tieyuan Zhu, Alexander Y. Sun
International journal of greenhouse gas control (2024) Vol. 132, pp. 104058-104058
Closed Access | Times Cited: 7

Geo-constrained clustering of resistivity data revealing the heterogeneous lithological architectures and the distinctive geoelectrical signature of shallow deposits
Paolo Ciampi, Leonardo Maria Giannini, Giorgio Cassiani, et al.
Engineering Geology (2024) Vol. 337, pp. 107589-107589
Open Access | Times Cited: 6

Enhancing transparency in data-driven urban pluvial flood prediction using an explainable CNN model
Weizhi Gao, Yaoxing Liao, Yuhong Chen, et al.
Journal of Hydrology (2024), pp. 132228-132228
Closed Access | Times Cited: 6

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