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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:

Self-adaptive physics-driven deep learning for seismic wave modeling in complex topography
Yi Ding, Su Chen, Xiaojun Li, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106425-106425
Closed Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

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: 21
Physics-based self-adaptive algorithm for estimating the long-term performance of concrete shrinkage
Wafaa Mohamed Shaban, Shui‐Long Shen, Ayat Gamal Ashour, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 142, pp. 109945-109945
Closed Access | Times Cited: 2
3D elastic wave propagation with a Factorized Fourier Neural Operator (F-FNO)
Fanny Lehmann, Filippo Gatti, Michaël Bertin, et al.
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 420, pp. 116718-116718
Open Access | Times Cited: 12
Physics-guided deep learning for driving force estimation in synchronous tunnel boring machines under missing cylinders
Yongsheng Li, Yue Pan, Limao Zhang
Automation in Construction (2024) Vol. 161, pp. 105339-105339
Closed Access | Times Cited: 11
A multi-fidelity deep operator network (DeepONet) for fusing simulation and monitoring data: Application to real-time settlement prediction during tunnel construction
Xu Chen, Ba Trung Cao, Yong Yuan, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108156-108156
Open Access | Times Cited: 11
Physics-informed deep learning quantifies propagated uncertainty in seismic structure and hypocenter determination
Ryoichiro Agata, Kazuya Shiraishi, Gou Fujie
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Sparse wavefield reconstruction based on Physics-Informed neural networks
Bin Xu, Yun Zou, Gaofeng Sha, et al.
Ultrasonics (2025) Vol. 149, pp. 107582-107582
Closed Access
Scientific Machine Learning for Guided Wave and Surface Acoustic Wave (SAW) Propagation: PgNN, PeNN, PINN, and Neural Operator
Nafisa Mehtaj, Sourav Banerjee
Sensors (2025) Vol. 25, Iss. 5, pp. 1401-1401
Open Access
Solution and application of two-dimensional seismic wavefield evolution based on physics-informed neural networks
Zhihui Zhu, Wang Zong, Yang Feng, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 150, pp. 110652-110652
Closed Access
Discovery and inversion of the viscoelastic wave equation in inhomogeneous media
Su Chen, Yi Ding, H. Miyake, et al.
Computer Physics Communications (2025), pp. 109599-109599
Closed Access
Physics-informed neural wavefields with Gabor basis functions
Tariq Alkhalifah, Xinquan Huang
Neural Networks (2024) Vol. 175, pp. 106286-106286
Open Access | Times Cited: 4
Physics-constrained neural networks for half-space seismic wave modeling
Yi S. Ding, Su Chen, Xiaojun Li, et al.
Computers & Geosciences (2023) Vol. 181, pp. 105477-105477
Closed Access | Times Cited: 8
Synthetic ground motions in heterogeneous geologies: the HEMEW-3D dataset for scientific machine learning
Fanny Lehmann, Filippo Gatti, Michaël Bertin, et al.
(2024)
Open Access | Times Cited: 2
Seismic response prediction and parameters estimation of the frame structure equipped with the base isolation-fluid inerter system (FS-BIFI) based on the PI-LSTM model
Yangyang Liao, Hesheng Tang, Rongshuai Li, et al.
Engineering Structures (2024) Vol. 309, pp. 118077-118077
Closed Access | Times Cited: 2
Synthetic ground motions in heterogeneous geologies from various sources: the HEMEWS-3D database
Fanny Lehmann, Filippo Gatti, Michaël Bertin, et al.
Earth system science data (2024) Vol. 16, Iss. 9, pp. 3949-3972
Open Access | Times Cited: 2
3D seismic Fault Detection via Contrastive-Reconstruction Representation Learning
Yimin Dou, Kewen Li
Expert Systems with Applications (2024) Vol. 249, pp. 123617-123617
Closed Access | Times Cited: 1
Physics-Informed Machine Learning Using Low-Fidelity Flowfields for Inverse Airfoil Shape Design
Benjamin Wong, Murali Damodaran, Boo Cheong Khoo
AIAA Journal (2024), pp. 1-16
Closed Access | Times Cited: 1
An end-to-end multi-task network for early prediction of the instrumental intensity and magnitude in the north–south seismic belt of China
Qingxu Zhao, Mianshui Rong, Jixin Wang, et al.
Journal of Asian Earth Sciences (2024), pp. 106369-106369
Closed Access | Times Cited: 1
Leveraging physics-informed neural networks for wavefield analysis in laser ultrasonic testing
Yang Li, Bin Xu, Yun Zou, et al.
Nondestructive Testing And Evaluation (2024), pp. 1-23
Closed Access | Times Cited: 1
A two-step scaled physics-informed neural network for non-destructive testing of hull rib damage
Xiaoqi Chen, Yongzhen Wang, Qinglei Zeng, et al.
Ocean Engineering (2024) Vol. 319, pp. 120260-120260
Closed Access | Times Cited: 1
Seismic performance of LNG tanks in deep soil site considering soil-foundation-structure interaction
Zaixian Li, Su Chen, Rui Zhang, et al.
Soil Dynamics and Earthquake Engineering (2024) Vol. 177, pp. 108436-108436
Closed Access
Comment on essd-2023-470

(2024)
Open Access
Comment on essd-2023-470
Fanny Lehmann
(2024)
Open Access
Uncertainty propagation from crustal geologies to rock-site ground motion with a Fourier Neural Operator
Fanny Lehmann, Filippo Gatti, Michaël Bertin, et al.
European Journal of Environmental and Civil engineering (2024) Vol. 28, Iss. 13, pp. 3088-3105
Open Access
An All‐In‐One Rapid Prediction of Ground Motion Intensity Measures Hybrid Network for Multi‐Task in the North‐South Seismic Belt of China
Qingxu Zhao, Mianshui Rong, Bin Zhang, et al.
Earth and Space Science (2024) Vol. 11, Iss. 10
Open Access
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