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 convolutional generative adversarial networks for the generation of numerous artificial spectrum‐compatible earthquake accelerograms using a limited number of ground motion records
Mehrshad Matinfar, Naser Khaji, Goodarz Ahmadi
Computer-Aided Civil and Infrastructure Engineering (2022) Vol. 38, Iss. 2, pp. 225-240
Closed Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

Generative adversarial networks review in earthquake-related engineering fields
Giuseppe Carlo Marano, Marco Martino Rosso, Angelo Aloisio, et al.
Bulletin of Earthquake Engineering (2023) Vol. 22, Iss. 7, pp. 3511-3562
Open Access | Times Cited: 42

RSPSSL: A novel high-fidelity Raman spectral preprocessing scheme to enhance biomedical applications and chemical resolution visualization
Jiaqi Hu, Jinna Chen, Chenlong Xue, et al.
Light Science & Applications (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 21

Broadband Ground-Motion Synthesis via Generative Adversarial Neural Operators: Development and Validation
Yaozhong Shi, Grigorios Lavrentiadis, Domniki Asimaki, et al.
Bulletin of the Seismological Society of America (2024) Vol. 114, Iss. 4, pp. 2151-2171
Open Access | Times Cited: 9

Ground-motion simulations using two-dimensional convolution condition adversarial neural network(2D-cGAN)
Yanwen Huang, Cheng Yang, Xiaodan Sun, et al.
Soil Dynamics and Earthquake Engineering (2024) Vol. 178, pp. 108444-108444
Closed Access | Times Cited: 8

Rapid seismic-damage assessment method for buildings on a regional scale based on spectrum-compatible data augmentation and deep learning
Qingle Cheng, Aiqun Li, Haotian Ren, et al.
Soil Dynamics and Earthquake Engineering (2024) Vol. 178, pp. 108504-108504
Closed Access | Times Cited: 8

A generative adversarial network approach for removing motion blur in the automatic detection of pavement cracks
Yu Zhang, Lin Zhang
Computer-Aided Civil and Infrastructure Engineering (2024) Vol. 39, Iss. 22, pp. 3412-3434
Open Access | Times Cited: 8

A response‐compatible ground motion generation method using physics‐guided neural networks
Youshui Miao, Hao Kang, Wei Hou, et al.
Computer-Aided Civil and Infrastructure Engineering (2024) Vol. 39, Iss. 15, pp. 2350-2366
Open Access | Times Cited: 7

Semi-supervised semantic image segmentation by deep diffusion models and generative adversarial networks
José Ángel Díaz-Francés, José David Fernández-Rodríguez, Karl Thurnhofer‐Hemsi, et al.
International Journal of Neural Systems (2024) Vol. 34, Iss. 11
Closed Access | Times Cited: 6

Near-fault ground motion synthesis based on conditional generation adversarial network
Guobin Lin, Xiaobin Hu
Computers & Structures (2025) Vol. 313, pp. 107740-107740
Closed Access

Self‐training approach for crack detection using synthesized crack images based on conditional generative adversarial network
Seungbo Shim
Computer-Aided Civil and Infrastructure Engineering (2023) Vol. 39, Iss. 7, pp. 1019-1041
Open Access | Times Cited: 15

Reconstruction of sub‐mm 3D pavement images using recursive generative adversarial network for faster texture measurement
Guolong Wang, Kelvin C. P. Wang, Guangwei Yang
Computer-Aided Civil and Infrastructure Engineering (2023) Vol. 38, Iss. 16, pp. 2206-2224
Closed Access | Times Cited: 14

Deep Learning for Earthquake Disaster Assessment: Objects, Data, Models, Stages, Challenges, and Opportunities
Jing Jia, Wenjie Ye
Remote Sensing (2023) Vol. 15, Iss. 16, pp. 4098-4098
Open Access | Times Cited: 14

Automatic determination of 3D particle morphology from multiview images using uncertainty‐evaluated deep learning
Hongchen Liu, Huaizhi Su, Brian Sheil
Computer-Aided Civil and Infrastructure Engineering (2025)
Open Access

Artificial seismic waves generation for complex matching conditions based on diffusion model
Xiaoming Chen, Fangfang Lv, Jindong Zhang, et al.
Soil Dynamics and Earthquake Engineering (2025) Vol. 192, pp. 109290-109290
Closed Access

Network models for temporal data reconstruction for dam health monitoring
Yongjiang Chen, Kui Wang, Mingjie Zhao, et al.
Computer-Aided Civil and Infrastructure Engineering (2025)
Open Access

Deep learning-based stochastic ground motion modeling using generative adversarial and convolutional neural networks
Mohsen Masoudifar, Mojtaba Mahsuli, Ertuǧrul Taciroğlu
Soil Dynamics and Earthquake Engineering (2025) Vol. 194, pp. 109306-109306
Closed Access

Application of Metaheuristic Algorithms in Ground Motion Selection and Scaling for Time History Analysis of Structures
Mohsen Akhani, Najme Alidadi, Shahram Pezeshk
Journal of Structural Engineering (2024) Vol. 150, Iss. 8
Closed Access | Times Cited: 3

Conditional generation of artificial earthquake waveforms based on adversarial networks
Shieh‐Kung Huang, Wei-Ting Chao, Yi-Xun Lin
Soil Dynamics and Earthquake Engineering (2024) Vol. 180, pp. 108622-108622
Closed Access | Times Cited: 3

Earthquake data augmentation using wavelet transform for training deep learning based surrogate models of nonlinear structures
Siddharth S. Parida, Supratik Bose, Georgios Apostolakis
Structures (2023) Vol. 55, pp. 638-649
Closed Access | Times Cited: 7

Output-only response migration method of single-layer reticulated shells based on generative adversarial network
Xiaonong Guo, Hao Meng, Jindong Zhang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 135, pp. 108869-108869
Closed Access | Times Cited: 2

A fast-response-generation method for single-layer reticulated shells based on implicit parameter model of generative adversarial networks
Xiaonong Guo, Jindong Zhang, Shaohan Zong, et al.
Journal of Building Engineering (2023) Vol. 72, pp. 106563-106563
Closed Access | Times Cited: 6

Influence of near-field ground motions and their equivalent pulses on nonlinear seismic response of intake-outlet towers and predicting based on artificial neural networks
Ali Bigdeli, Hassan Akbari, Mohammad Alembagheri, et al.
Structures (2023) Vol. 52, pp. 1051-1070
Closed Access | Times Cited: 6

Multilevel Laser-Induced Pain Measurement with Wasserstein Generative Adversarial Network — Gradient Penalty Model
Jiancai Leng, Jianqun Zhu, Yihao Yan, et al.
International Journal of Neural Systems (2023) Vol. 34, Iss. 01
Closed Access | Times Cited: 4

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