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:

De-noising receiver function data using the Seislet Transform
Bijayananda Dalai, Prakash Kumar, Xiaohui Yuan
Geophysical Journal International (2019) Vol. 217, Iss. 3, pp. 2047-2055
Open Access | Times Cited: 16

Showing 16 citing articles:

Unsupervised 3-D Random Noise Attenuation Using Deep Skip Autoencoder
Liuqing Yang, Shoudong Wang, Xiaohong Chen, et al.
IEEE Transactions on Geoscience and Remote Sensing (2021) Vol. 60, pp. 1-16
Closed Access | Times Cited: 74

Deep Learning Seismic Random Noise Attenuation via Improved Residual Convolutional Neural Network
Liuqing Yang, Wei Chen, Hang Wang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2021) Vol. 59, Iss. 9, pp. 7968-7981
Closed Access | Times Cited: 62

Improving receiver function imaging with high-resolution Radon transform
Quán Zhāng, Yunfeng Chen, Fangxue Zhang, et al.
Geophysical Journal International (2022) Vol. 230, Iss. 2, pp. 1292-1304
Closed Access | Times Cited: 12

X‐Discontinuity Beneath the Indian Shield—Evidence for Remnant Tethyan Oceanic Lithosphere in the Mantle
Uppala Srinu, Prakash Kumar, Chinmay Haldar, et al.
Journal of Geophysical Research Solid Earth (2021) Vol. 126, Iss. 8
Closed Access | Times Cited: 13

Combined multi-branch selective kernel hybrid-pooling skip connection residual network for seismic random noise attenuation
Meng Zeng, Gulan Zhang, Yong Li, et al.
Journal of Geophysics and Engineering (2022) Vol. 19, Iss. 4, pp. 863-875
Open Access | Times Cited: 8

Crustal Imaging with Noisy Teleseismic Receiver Functions Using Sparse Radon Transforms
Ziqi Zhang, T. M. Olugboji
Bulletin of the Seismological Society of America (2024) Vol. 114, Iss. 3, pp. 1600-1612
Closed Access | Times Cited: 1

Seismic random noise attenuation with deep skip autoencoder based on hybrid attention mechanism
Lin Huang, Yajuan Xue, Si-yi Chen
Journal of Applied Geophysics (2024), pp. 105308-105308
Closed Access | Times Cited: 1

Robust local slope estimation by deep learning
Shaohuan Zu, Junxing Cao, Sergey Fomel, et al.
Geophysical Prospecting (2022) Vol. 70, Iss. 5, pp. 847-864
Closed Access | Times Cited: 7

De-noising receiver function data using the unsupervised deep learning approach
Bijayananda Dalai, Prakash Kumar, Uppala Srinu, et al.
Geophysical Journal International (2021) Vol. 229, Iss. 2, pp. 737-749
Closed Access | Times Cited: 9

Multichannel Sparse Deconvolution of Teleseismic Receiver Functions With fx Preconditioning
Wenhan Sun, Mauricio D. Sacchi, Yu Jeffrey Gu
Journal of Geophysical Research Solid Earth (2023) Vol. 128, Iss. 4
Open Access | Times Cited: 2

A diffusion model-based framework USDDM for random noise elimination of seismic signal
Ming Li, Xuesong Yan, Chengyu Hu
Earth Science Informatics (2024) Vol. 17, Iss. 4, pp. 3191-3213
Closed Access

Desert seismic noise suppression based on an improved low-rank matrix approximation method
Juan Li, Wei Fan, Yue Li, et al.
Journal of Applied Geophysics (2019) Vol. 173, pp. 103926-103926
Closed Access | Times Cited: 3

Self-Supervised Seismic Random Noise Attenuation With Spatial Attention From a Single Section
Zhonghan Zhang, Guihe Qin, Minghui Sun, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-16
Closed Access | Times Cited: 1

Seismic random noise suppression using improved CycleGAN
Shimin Sun, Guihua Li, Renwei Ding, et al.
Frontiers in Earth Science (2023) Vol. 11
Open Access

Seismic data denoising through dual attention residual network
Lei Gao, Xing Mao, DongSheng Liang, et al.
Research Square (Research Square) (2023)
Open Access

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