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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:

Using LSTM Neural Networks for Onsite Earthquake Early Warning
Chia-Yu Wang, Ting‐Chung Huang, Yih‐Min Wu
Seismological Research Letters (2022) Vol. 93, Iss. 2A, pp. 814-826
Closed Access | Times Cited: 30

Showing 1-25 of 30 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
India’s Earthquake Early Warning Systems: A Review of Developments and Challenges
Himanshu Mittal, Sanjit Kumar Pal, Rajiv Kumar, et al.
Surveys in Geophysics (2025)
Closed Access | Times Cited: 1
Employing Remote Sensing, Data Communication Networks, AI, and Optimization Methodologies in Seismology
Mohamed S. Abdalzaher, Hussein A. Elsayed, Mostafa M. Fouda
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2022) Vol. 15, pp. 9417-9438
Open Access | Times Cited: 29
Prediction of PGA in earthquake early warning using a long short-term memory neural network
Ao Wang, Shanyou Li, Jianqi Lu, et al.
Geophysical Journal International (2023) Vol. 234, Iss. 1, pp. 12-24
Closed Access | Times Cited: 17
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
An integrated approach for prediction of magnitude using deep learning techniques
Anushka Joshi, Balasubramanian Raman, C. Krishna Mohan
Neural Computing and Applications (2024) Vol. 36, Iss. 27, pp. 16991-17006
Closed Access | Times Cited: 6
Emerging technologies and supporting tools for earthquake disaster management: A perspective, challenges, and future directions
Mohamed S. Abdalzaher, Moez Krichen, Francisco Falcone
Progress in Disaster Science (2024) Vol. 23, pp. 100347-100347
Open Access | Times Cited: 6
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
Machine Learning-Based Rapid Epicentral Distance Estimation from a Single Station
Jingbao Zhu, Wentao Sun, Xueying Zhou, et al.
Bulletin of the Seismological Society of America (2024) Vol. 114, Iss. 3, pp. 1507-1522
Closed Access | Times Cited: 4
IsoMapGen: Framework for early prediction of peak ground acceleration using tripartite feature extraction and gated attention model
Anushka Joshi, Pradeep Singh, Balasubramanian Raman
Computers & Geosciences (2025), pp. 105849-105849
Closed Access
Progress on the earthquake early warning and shakemaps system using low-cost sensors in Taiwan
Himanshu Mittal, Benjamin Ming Yang, Yih‐Min Wu
Geoscience Letters (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 16
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
Earthquake early warning systems based on low-cost ground motion sensors: A systematic literature review
Chanthujan Chandrakumar, Raj Prasanna, Max Stephens, et al.
Frontiers in Sensors (2022) Vol. 3
Open Access | Times Cited: 14
On the use of VMD-LSTM neural network for approximate earthquake prediction
Qiyue Wang, Yekun Zhang, Jiaqi Zhang, et al.
Natural Hazards (2024)
Closed Access | Times Cited: 2
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
A Real-Time Seismic Intensity Prediction Framework Based on Interpretable Ensemble Learning
Jinjun Hu, Yitian Ding, Hui Zhang, et al.
Seismological Research Letters (2023)
Closed Access | Times Cited: 5
An Early Warning Protection Method for Electric Vehicle Charging Based on the Hybrid Neural Network Model
Xiaoyu Zheng, Dexin Gao, Zhenyu Zhu, et al.
World Electric Vehicle Journal (2022) Vol. 13, Iss. 7, pp. 128-128
Open Access | Times Cited: 8
Earthquake Detection with tinyML
Timothy Clements
Seismological Research Letters (2023)
Closed Access | Times Cited: 4
ADVANCED EARTHQUAKE PREDICTION: UNIFYING NETWORKS, ALGORITHMS, AND ATTENTION-DRIVEN LSTM MODELLING
Maher Ali Rusho
International Journal of Geomate (2024) Vol. 27, Iss. 119
Open Access | Times Cited: 1
An end-to-end multi-task network for early prediction of the instrumental intensity and magnitude in the north–south seismic belt of China
Qingxu Zhao, Mianshui Rong, Jixin Wang, et al.
Journal of Asian Earth Sciences (2024), pp. 106369-106369
Closed Access | Times Cited: 1
Earthquake Event Recognition on Smartphones Based on Neural Network Models
Meirong Chen, Chaoyong Peng, Zhenpeng Cheng
Sensors (2022) Vol. 22, Iss. 22, pp. 8769-8769
Open Access | Times Cited: 3
Design of vibration sensors based on fibre Bragg grating type composites for earthquake detection and early warning application
Bo Xia, Ye Ren, Qing Ye
Materials Express (2024) Vol. 14, Iss. 5, pp. 747-754
Closed Access
Real-Time On-Site Ground-Motion Prediction Using ResNet
Tzu-Yi Yang, Da‐Yi Chen, Tai-Lin Chin
Seismological Research Letters (2024)
Closed Access
Integrating Long Short-Term Memory and Multilayer Perception for an Intelligent Public Affairs Distribution Model
Hong Fang, Minjing Peng, Xiaotian Du, et al.
Acadlore Transactions on AI and Machine Learning (2024) Vol. 3, Iss. 3, pp. 148-161
Open Access
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