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:

Automatic Waveform Classification and Arrival Picking Based on Convolutional Neural Network
Yangkang Chen, Guoyin Zhang, Min Bai, et al.
Earth and Space Science (2019) Vol. 6, Iss. 7, pp. 1244-1261
Open Access | Times Cited: 102

Showing 51-75 of 102 citing articles:

ICAT-net: a lightweight neural network with optimized coordinate attention and transformer mechanisms for earthquake detection and phase picking
Xuening Li, Fangjiong Chen, Ye-Ping Lai, et al.
The Journal of Supercomputing (2024) Vol. 81, Iss. 1
Closed Access | Times Cited: 1

A Deep-Learning P-Wave Arrival Picker for Laboratory Acoustic Emissions: Model Training and Its Performance
Tian Guo, Tiziana Vanorio, Jihui Ding
Rock Mechanics and Rock Engineering (2024)
Closed Access | Times Cited: 1

SC-PSNET: A deep neural network for automatic P- and S-phase detection and arrival-time picker using 1C recordings
Jing Zheng, Jerry M. Harris, Dongzhuo Li, et al.
Geophysics (2020) Vol. 85, Iss. 4, pp. U87-U98
Closed Access | Times Cited: 11

Enhancing Seismic P-Wave Arrival Picking by Target-Oriented Detection of the Local Windows Using Faster-RCNN
Zhengxiang He, Pingan Peng, Liguan Wang, et al.
IEEE Access (2020) Vol. 8, pp. 141733-141747
Open Access | Times Cited: 11

Acoustic Emission Waveform Picking with Time Delay Neural Networks during Rock Deformation Laboratory Experiments
Thomas King, Philip Benson, Luca De Siena, et al.
Seismological Research Letters (2020) Vol. 92, Iss. 2A, pp. 923-932
Open Access | Times Cited: 11

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

CRPN: A cascaded classification and regression DNN framework for seismic phase picking*
Ziye Yu, Chu Risheng, Weitao Wang, et al.
Earthquake Science (2020) Vol. 33, Iss. 2, pp. 53-61
Open Access | Times Cited: 10

First-Arrival Picking for Microseismic Monitoring Based on Deep Learning
Xiaolong Guo
International Journal of Geophysics (2021) Vol. 2021, pp. 1-14
Open Access | Times Cited: 9

Neural networks as a tool for domain translation of geophysical data
Jiashun Yao, Lluís Guasch, M. Warner
Geophysics (2023) Vol. 88, Iss. 3, pp. V267-V275
Closed Access | Times Cited: 3

Automated picking of seismic first arrivals using a single- to multidomain self-trained network
Mitsuyuki Ozawa
Geophysics (2023) Vol. 89, Iss. 1, pp. WA25-WA38
Closed Access | Times Cited: 3

Determining S-Wave Arrival Times for Microseismic Monitoring in Tunnels Based on Instantaneous Phase Difference of Sensors
Ya-Xun Xiao, Shujie Chen, Liu Liu, et al.
Rock Mechanics and Rock Engineering (2023) Vol. 57, Iss. 3, pp. 1781-1797
Closed Access | Times Cited: 3

Wavelet Transform-Based Fuzzy Clustering Microseismic First-Arrival Picking Method
Lin Ting-ting, Jingwang Cheng, Qiang Chen, et al.
IEEE Access (2023) Vol. 11, pp. 136978-136987
Open Access | Times Cited: 3

A high accurate automated first‐break picking method for seismic records from high‐density acquisition in areas with a complex surface
Yinpo Xu, Cheng Yin, Zou Xuefeng, et al.
Geophysical Prospecting (2019) Vol. 68, Iss. 4, pp. 1228-1252
Closed Access | Times Cited: 7

Automatic First Arrival Time Identification Using Fuzzy C-Means and AIC
Zhiqiang Lan, Peng Gao, Wang Peng, et al.
IEEE Transactions on Geoscience and Remote Sensing (2021) Vol. 60, pp. 1-13
Closed Access | Times Cited: 7

First‐break automatic picking technology based on semantic segmentation
Yinpo Xu, Cheng Yin, Yingjie Pan, et al.
Geophysical Prospecting (2021) Vol. 69, Iss. 6, pp. 1181-1207
Closed Access | Times Cited: 6

Time Series Segmentation Clustering: A New Method for S-Phase Picking in Microseismic Data
Xinhao Zhu, Bingrui Chen, Xu Wang, et al.
IEEE Geoscience and Remote Sensing Letters (2021) Vol. 19, pp. 1-5
Closed Access | Times Cited: 6

Automatic microseismic signal classification for mining safety monitoring using the WaveNet classifier
Woo-Chang Choi, Sukjoon Pyun, Dae‐Sung Cheon
Geophysical Prospecting (2023) Vol. 72, Iss. 2, pp. 315-332
Closed Access | Times Cited: 2

Automatic Microseismic Events Detection Using Multiscale Morphological Characteristic Function
Yongyong Jiang, Runqiu Wang, Xiaoqing Chen
IEEE Transactions on Geoscience and Remote Sensing (2019) Vol. 58, Iss. 5, pp. 3341-3351
Closed Access | Times Cited: 5

Automatic estimation of traveltime parameters in VTI media using similarity-weighted clustering
Shiyou Liu, Ying-Zhao Zhang, Chao Li, et al.
Petroleum Science (2020) Vol. 17, Iss. 2, pp. 363-375
Open Access | Times Cited: 5

First Arrival Picking on Microseismic Signals Based on K-Means with a ReliefF Algorithm
Yijia Li, Zhengfang Wang, Jing Wang, et al.
Symmetry (2021) Vol. 13, Iss. 5, pp. 790-790
Open Access | Times Cited: 5

A Comparative Analysis of Machine Learning Models for First-break Arrival Picking
Mohammed Ayub, I. SanLinn
International Journal of Advanced Computer Science and Applications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 4

First-arrival picking through fuzzy c-means and robust locally weighted regression
Lei Gao, Dang Liu, Guan Feng Luo, et al.
Acta Geophysica (2021) Vol. 69, Iss. 5, pp. 1623-1636
Closed Access | Times Cited: 4

BiInNet: Bilateral Inversion Network for Real-Time Velocity Analysis
Wei Cao, Ying Shi, Xuebao Guo, et al.
IEEE Transactions on Geoscience and Remote Sensing (2021) Vol. 60, pp. 1-17
Closed Access | Times Cited: 4

Advances in Geo-Time Series Modelling
R. K. Tiwari, Rajesh Rekapalli
Journal of the Geological Society of India (2021) Vol. 97, Iss. 10, pp. 1313-1322
Closed Access | Times Cited: 4

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