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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:

On-site alert-level earthquake early warning using machine-learning-based prediction equations
Jindong Song, Jingbao Zhu, Yuan Wang, et al.
Geophysical Journal International (2022) Vol. 231, Iss. 2, pp. 786-800
Closed Access | Times Cited: 22

Showing 22 citing articles:

Hybrid Deep-Learning Network for Rapid On-Site Peak Ground Velocity Prediction
Jingbao Zhu, Shanyou Li, Jindong Song
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-12
Closed Access | Times Cited: 123
Recent advances in earthquake seismology using machine learning
Hisahiko Kubo, Makoto Naoi, Masayuki Kano
Earth Planets and Space (2024) Vol. 76, Iss. 1
Open Access | Times Cited: 21
Early Earthquake Detection Using Batch Normalization Graph Convolutional Neural Network (BNGCNN)
Muhammad Bilal, Yanju Ji, Yongzhi Wang, et al.
Applied Sciences (2022) Vol. 12, Iss. 15, pp. 7548-7548
Open Access | Times Cited: 34
Threshold-based earthquake early warning for high-speed railways using deep learning
Jingbao Zhu, Wentao Sun, Shanyou Li, et al.
Reliability Engineering & System Safety (2024) Vol. 250, pp. 110268-110268
Closed Access | Times Cited: 7
Earthquake Detection Using Stacked Normalized Recurrent Neural Network (SNRNN)
Muhammad Bilal, Yongzhi Wang, Yanju Ji, et al.
Applied Sciences (2023) Vol. 13, Iss. 14, pp. 8121-8121
Open Access | Times Cited: 13
Integrating nature-inspired refined red-tailed hawk algorithm with enhanced time-series dense encoder for seismic event prediction
Priyanka Kumari, S. Kumar, Ram Kumar Giri, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 4
Closed Access
Onsite intensity prediction for earthquake early warning with multimodal deep learning
Jingbao Zhu, Shanyou Li, Qiang Ma, et al.
Soil Dynamics and Earthquake Engineering (2025) Vol. 195, pp. 109430-109430
Closed Access
Real-Time Seismic Intensity Measurements Prediction for Earthquake Early Warning: A Systematic Literature Review
Zhenpeng Cheng, Chaoyong Peng, Meirong Chen
Sensors (2023) Vol. 23, Iss. 11, pp. 5052-5052
Open Access | Times Cited: 12
XGBoost-based prediction of on-site acceleration response spectra with multi-feature inputs from P-wave arrivals
Haozhen Dai, Yueyong Zhou, Heyi Liu, et al.
Soil Dynamics and Earthquake Engineering (2024) Vol. 178, pp. 108503-108503
Closed Access | Times Cited: 3
Data‐Knowledge Driven Hybrid Deep Learning for Earthquake Early Warning
Jingwei Zhu, Shanyou Li, Jindong Song
Earth and Space Science (2024) Vol. 11, Iss. 9
Open Access | Times Cited: 3
On-site instrumental seismic intensity prediction for China via recurrent neural network and transfer learning
Jingbao Zhu, Shanyou Li, Yongxiang Wei, et al.
Journal of Asian Earth Sciences (2023) Vol. 248, pp. 105610-105610
Closed Access | Times Cited: 6
Real-time prediction of distance and PGA from P-wave features using Gradient Boosting Regressor for on-site earthquake early warning applications
Antonio Giovanni Iaccarino, A. De Cristofaro, Matteo Picozzi, et al.
Geophysical Journal International (2023) Vol. 236, Iss. 1, pp. 675-687
Open Access | Times Cited: 5
An Early Warning System for Predicting Earthquakes
T. Gnanasekaran, Sofia Vincent J., Dinesh Babu Munuswamy, et al.
Advances in environmental engineering and green technologies book series (2023), pp. 165-185
Closed Access | Times Cited: 5
Earthquake Prediction Using QSVM
Aditya Katole, Vishakha Batheja, Atharv Deshmukh, et al.
2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS) (2024), pp. 1-7
Closed Access | Times Cited: 1
Support Vector Machine-Based On-Site Prediction for China Seismic Instrumental Intensity from P-Wave Features
Baorui Hou, Shanyou Li, Jindong Song
Pure and Applied Geophysics (2023) Vol. 180, Iss. 10, pp. 3495-3515
Closed Access | Times Cited: 2
Decision-making method for high-speed rail early warning system in complex earthquake situations
Minjia Tan, Qizhou Hu, Yikai Wu, et al.
Transportation Safety and Environment (2023) Vol. 6, Iss. 3
Open Access | Times Cited: 2
Predicting Peak Ground Acceleration of Strong-Motion Earthquakes Using Variable Snapshots of P-Wave Data with Long Short-Term Memory Neural Network
John Owusu Duah, Ofosu Osei, Stephen Osafo-Gyamfi
Seismological Research Letters (2024) Vol. 95, Iss. 5, pp. 2886-2893
Closed Access
ESenTRy: an on-site earthquake early warning system based on the instrumental modified Mercalli intensity
Özkan Kafadar, Süleyman Tunç, Berna Tunç
Earth Science Informatics (2024) Vol. 17, Iss. 5, pp. 5027-5041
Open Access
Near-epicenter-based partial matching crossover algorithm for estimating the strong-shaking zone of large earthquakes
Yuan Wang, Simona Colombelli, Aldo Zollo, et al.
Bulletin of Earthquake Engineering (2024) Vol. 22, Iss. 11, pp. 5545-5570
Closed Access
Ground-Shaking Intensity Prediction for Onsite Earthquake Early Warning Using Deep Learning
Mei-Yu Jiang, Da-Yi Chen, Tai-Lin Chin
Seismological Research Letters (2024)
Closed Access
Prediction of ground motion intensity measures using support vector machine in analysing spatial correlation
Pan Wen, Baofeng Zhou, Xirong Bi
Geophysical Journal International (2024) Vol. 240, Iss. 2, pp. 859-869
Open Access
Real-time prediction of earthquake potential damage: A case study for the January 8, 2022 MS 6.9 Menyuan earthquake in Qinghai, China
Jindong Song, Jingbao Zhu, Yongxiang Wei, et al.
Earthquake research advances (2022) Vol. 3, Iss. 1, pp. 100197-100197
Open Access | Times Cited: 2
GST-based polarization approach to picking P-and S-waves arrival time for high-speed rail early warning system
Minjia Tan, Qizhou Hu, Yikai Wu, et al.
Soil Dynamics and Earthquake Engineering (2023) Vol. 177, pp. 108400-108400
Closed Access
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