Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Intelligent Deblending of Seismic Data Based on U-Net and Transfer Learning
Benfeng Wang, Jiakuo Li, Jingrui Luo, et al.
IEEE Transactions on Geoscience and Remote Sensing (2021) Vol. 59, Iss. 10, pp. 8885-8894
Closed Access | Times Cited: 45

Showing 1-25 of 45 citing articles:

Deep-learning seismology
S. Mostafa Mousavi, Gregory C. Beroza
Science (2022) Vol. 377, Iss. 6607
Closed Access | Times Cited: 275
Deep learning for geological hazards analysis: Data, models, applications, and opportunities
Zhengjing Ma, Gang Mei
Earth-Science Reviews (2021) Vol. 223, pp. 103858-103858
Open Access | Times Cited: 194
Deblending by sparse inversion and its applications to high-productivity seismic acquisition: Case studies
Shaohua Zhang, Jiawen Song
Petroleum Science (2025)
Open Access
Transfer learning for self-supervised, blind-spot seismic denoising
Claire Birnie, Tariq Alkhalifah
Frontiers in Earth Science (2022) Vol. 10
Open Access | Times Cited: 20
S3AR U-Net: A separable squeezed similarity attention-gated residual U-Net for glottis segmentation
Francis Jesmar P. Montalbo
Biomedical Signal Processing and Control (2024) Vol. 92, pp. 106047-106047
Closed Access | Times Cited: 4
Seismic multiple suppression based on a deep neural network method for marine data
Kunxi Wang, Tianyue Hu, Shangxu Wang, et al.
Geophysics (2022) Vol. 87, Iss. 4, pp. V341-V365
Closed Access | Times Cited: 16
Unsupervised Deep Learning for Ground Roll and Scattered Noise Attenuation
Dawei Liu, Mauricio D. Sacchi, Xiaokai Wang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-13
Closed Access | Times Cited: 9
Deblending of Seismic Data Based on Neural Network Trained in the CSG
Kunxi Wang, Tianyue Hu
IEEE Transactions on Geoscience and Remote Sensing (2021) Vol. 60, pp. 1-12
Closed Access | Times Cited: 18
Iterative deblending using unsupervised learning with double-deep neural networks
Kunxi Wang, Tianyue Hu, Shangxu Wang
Geophysics (2023) Vol. 88, Iss. 3, pp. V187-V205
Closed Access | Times Cited: 7
Seismic Surface-Related Multiples Suppression Based on SAGAN
Liurong Tao, Haoran Ren, Yueming Ye, et al.
IEEE Geoscience and Remote Sensing Letters (2022) Vol. 19, pp. 1-5
Closed Access | Times Cited: 12
Iterative deblending using MultiResUNet with multilevel blending noise for training and transfer learning
Benfeng Wang, Jiakuo Li, Dong Seog Han
Geophysics (2022) Vol. 87, Iss. 3, pp. V205-V214
Closed Access | Times Cited: 11
Attenuation Compensation and Q Estimation of Nonstationary Data Using Semi-Supervised Learning
Ren Luo, Ying Yin, Huaizhen Chen, et al.
IEEE Geoscience and Remote Sensing Letters (2023) Vol. 20, pp. 1-5
Closed Access | Times Cited: 6
Ultrasonic tomography imaging enhancement approach based on deep convolutional neural networks
Azamatjon Kakhramon ugli Malikov, Manuel Fernando Flores Cuenca, Beomjin Kim, et al.
Journal of Visualization (2023) Vol. 26, Iss. 5, pp. 1067-1083
Open Access | Times Cited: 6
Unsupervised Learning for Seismic Internal Multiple Suppression Based on Adaptive Virtual Events
Kunxi Wang, Tianyue Hu, Shangxu Wang
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-13
Closed Access | Times Cited: 9
An unsupervised learning approach to deblend seismic data from denser shot coverage surveys
Kunxi Wang, Tianyue Hu, Shangxu Wang
Geophysical Journal International (2022) Vol. 231, Iss. 2, pp. 801-816
Closed Access | Times Cited: 9
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
Attention-Based Neural Network for Erratic Noise Attenuation From Seismic Data With a Shuffled Noise Training Data Generation Strategy
Shaowen Wang, Peng Song, Jun Tan, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-16
Closed Access | Times Cited: 8
Self-supervised Multistep Seismic Data Deblending
Xinyi Chen, Benfeng Wang
Surveys in Geophysics (2023) Vol. 45, Iss. 2, pp. 383-407
Closed Access | Times Cited: 4
Self-supervised simultaneous deblending and interpolation of incomplete blended data using a multistep blind-trace U-Net
Benfeng Wang, Shu Lin, Xinyi Chen
Petroleum Science (2024)
Open Access | Times Cited: 1
End-to-End Deblending of Simultaneous Source Data Using Transformer
Shaohuan Zu, Chaofan Ke, Chengzhi Hou, et al.
IEEE Geoscience and Remote Sensing Letters (2022) Vol. 19, pp. 1-5
Closed Access | Times Cited: 7
Intelligent Seismic Deblending Through Deep Preconditioner
Weiwei Xu, Vincenzo Lipari, Paolo Bestagini, et al.
IEEE Geoscience and Remote Sensing Letters (2022) Vol. 19, pp. 1-5
Open Access | Times Cited: 7
Deblending and Recovery of Incomplete Blended Data via MultiResUnet
Benfeng Wang, Jiakuo Li, Dong Seog Han, et al.
Surveys in Geophysics (2022) Vol. 43, Iss. 6, pp. 1901-1927
Closed Access | Times Cited: 6
A multi‐data training method for a deep neural network to improve the separation effect of simultaneous‐source data
Kunxi Wang, Weijian Mao, Huan Song, et al.
Geophysical Prospecting (2022) Vol. 71, Iss. 1, pp. 63-84
Closed Access | Times Cited: 6
Advantages of Using Transfer Learning Technology with a Quantative Measurement
Emilia Hattula, Lingli Zhu, Jere Raninen, et al.
Remote Sensing (2023) Vol. 15, Iss. 17, pp. 4278-4278
Open Access | Times Cited: 3
Deblending of seismic data in the wavelet domain via a convolutional neural network based on data augmentation
Shaowen Wang, Peng Song, Jun Tan, et al.
Geophysical Prospecting (2022) Vol. 72, Iss. 1, pp. 213-228
Closed Access | Times Cited: 5
Page 1 - Next Page

Scroll to top