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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:

Semi-supervised learning for acoustic impedance inversion
Motaz Alfarraj, Ghassan AlRegib
(2019)
Open Access | Times Cited: 85

Showing 26-50 of 85 citing articles:

Joint learning for seismic inversion: An acoustic impedance estimation case study
Ahmad Mustafa, Ghassan AlRegib
(2020), pp. 1686-1690
Open Access | Times Cited: 21
Seismic Inversion Based on 2D-CNNs and Domain Adaption
Qi Wang, Yuqing Wang, Yile Ao, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-12
Closed Access | Times Cited: 13
Probabilistic physics-informed neural network for seismic petrophysical inversion
Peng Li, Mingliang Liu, Motaz Alfarraj, et al.
Geophysics (2023) Vol. 89, Iss. 2, pp. M17-M32
Closed Access | Times Cited: 7
Visual Attention-Guided Learning With Incomplete Labels for Seismic Fault Interpretation
Ahmad Mustafa, Reza Rastegar, Tim Brown, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-12
Closed Access | Times Cited: 2
A Deep Learning Framework for Petrophysical Properties Prediction in Gas Reservoirs
Jinyong Gui, Jianhu Gao, Shengjun Li, et al.
IEEE Geoscience and Remote Sensing Letters (2024) Vol. 21, pp. 1-5
Closed Access | Times Cited: 2
Prediction of Shear Wave Velocity Based on a Hybrid Network of Two-Dimensional Convolutional Neural Network and Gated Recurrent Unit
Tengfei Chen, Gang Gao, Peng Wang, et al.
Geofluids (2022) Vol. 2022, pp. 1-14
Open Access | Times Cited: 12
Acoustic impedance inversion in coal strata using the priori constraint-based TCN-BiGRU method
Suzhen Shi, You-chao Qi, Weiming Chang, et al.
ADVANCES IN GEO-ENERGY RESEARCH (2023) Vol. 9, Iss. 1, pp. 13-24
Open Access | Times Cited: 6
Deep Learning Based Optimization Framework for Full-waveform Inversion in Tunnels
Peng Jiang, Shuai Cao, Shiyu Guo, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-11
Closed Access | Times Cited: 2
Semisupervised seismic impedance inversion with data augmentation and uncertainty analysis
Ren Luo, Huaizhen Chen, Benfeng Wang
Geophysics (2023) Vol. 88, Iss. 4, pp. M213-M224
Closed Access | Times Cited: 5
Building subsurface models with horizon-guided interpolation and deep learning: Application to the Volve field data
Shangsheng Yan, Xiaoming Sun, Xinming Wu, et al.
Geophysics (2022) Vol. 87, Iss. 4, pp. B233-B245
Closed Access | Times Cited: 8
Dual Wasserstein generative adversarial network condition: A generative adversarial network-based acoustic impedance inversion method
Zixu Wang, Shoudong Wang, Chen Zhou, et al.
Geophysics (2022) Vol. 87, Iss. 6, pp. R401-R411
Closed Access | Times Cited: 8
Full waveform inversion based on inversion network reparameterized velocity
Peng Jiang, Qingyang Wang, Yuxiao Ren, et al.
Geophysical Prospecting (2022) Vol. 72, Iss. 1, pp. 52-67
Closed Access | Times Cited: 8
High-resolution seismic acoustic impedance inversion with the sparsity-based statistical model
Lingqian Wang, Hui Zhou, Wenjun Liu, et al.
Geophysics (2021) Vol. 86, Iss. 4, pp. R509-R527
Closed Access | Times Cited: 11
Introducing Nonuniform Sparse Proximal Averaging Network for Seismic Reflectivity Inversion
Swapnil Mache, Praveen Kumar Pokala, Kusala Rajendran, et al.
IEEE Transactions on Computational Imaging (2023) Vol. 9, pp. 475-489
Closed Access | Times Cited: 4
Low-frequency constrained seismic impedance inversion combining large kernel attention and long short-term memory
Zongwei Ma, Shu Li, Juan Ning, et al.
Acta Geophysica (2024) Vol. 72, Iss. 6, pp. 4045-4062
Open Access | Times Cited: 1
Learning Velocity Model for Complex Media with Deep Convolutional Neural Networks
Andrey Stankevich, I. O. Nechepurenko, A. V. Shevchenko, et al.
Lobachevskii Journal of Mathematics (2024) Vol. 45, Iss. 1, pp. 336-345
Closed Access | Times Cited: 1
Petrophysical parameter estimation using a rock-physics model and collaborative sparse representation
Yaojun Wang, Bingxin Shen, Zilin Yu, et al.
Geophysics (2024) Vol. 89, Iss. 5, pp. M149-M168
Closed Access | Times Cited: 1
CNN-Based Network Application for Petrophysical Parameter Inversion: Sensitivity Analysis of Input–Output Parameters and Network Architecture
Hui Li, Bo Qiu, Yonghao Zhang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-13
Closed Access | Times Cited: 7
Seismic inversion via closed-loop fully convolutional residual network and transfer learning
Lingling Wang, Delin Meng, Bangyu Wu, et al.
(2020), pp. 1521-1525
Closed Access | Times Cited: 9
Uncertainty estimation in impedance inversion using Bayesian deep learning
Junhwan Choi, Dowan Kim, Joongmoo Byun
(2020), pp. 300-304
Closed Access | Times Cited: 9
基于时间卷积网络的地震波阻抗反演
Detao Wang, Guoxiong Chen
Earth Science-Journal of China University of Geosciences (2022) Vol. 47, Iss. 4, pp. 1492-1492
Open Access | Times Cited: 6
Impedance Inversion Based on Domain Adaptation Technique With Reconstruction
Jeonghun Yoo, Dowan Kim, Junhwan Choi, et al.
IEEE Geoscience and Remote Sensing Letters (2022) Vol. 19, pp. 1-5
Closed Access | Times Cited: 5
Genetic-evolutionary adaptive moment estimation-based semisupervised deep sequential convolution network for seismic impedance inversion: Application and uncertainty analysis
Anjali Dixit, Animesh Mandal, Shib Sankar Ganguli, et al.
Geophysics (2022) Vol. 88, Iss. 2, pp. R225-R242
Closed Access | Times Cited: 5
3D Tensor-based Deep Learning Models for Predicting Option Price
Muyang Ge, Shen Zhou, Shijun Luo, et al.
2021 International Conference on Information Science and Communications Technologies (ICISCT) (2021), pp. 1-6
Open Access | Times Cited: 6
GIT: A Transformer-Based Deep Learning Model for Geoacoustic Inversion
Sheng Feng, Xiaoqian Zhu, Shuqing Ma, et al.
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 6, pp. 1108-1108
Open Access | Times Cited: 2

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