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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:

An automated machine learning approach for earthquake casualty rate and economic loss prediction
Weiyi Chen, Limao Zhang
Reliability Engineering & System Safety (2022) Vol. 225, pp. 108645-108645
Closed Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Empirical seismic vulnerability assessment model of typical urban buildings
Siqi Li, Yongsheng Chen, Hongbo Liu, et al.
Bulletin of Earthquake Engineering (2023) Vol. 21, Iss. 4, pp. 2217-2257
Closed Access | Times Cited: 45
Vulnerability and economic loss evaluation model of a typical group structure considering empirical field inspection data
Siqi Li, Yongsheng Chen
International Journal of Disaster Risk Reduction (2023) Vol. 88, pp. 103617-103617
Closed Access | Times Cited: 39
An automated machine-learning-assisted stochastic-fuzzy multi-criteria decision making tool: Addressing record-to-record variability in seismic design
Ali Amini, Azam Abdollahi, Mohammad Amin Hariri‐Ardebili
Applied Soft Computing (2024) Vol. 154, pp. 111354-111354
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 interpretable machine learning method for the prediction of R/C buildings' seismic response
Konstantinos Demertzis, Konstantinos Kostinakis, Konstantinos Morfidis‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌, et al.
Journal of Building Engineering (2022) Vol. 63, pp. 105493-105493
Open Access | Times Cited: 36
Real-Time Seismic Intensity Prediction Using Self-Supervised Contrastive GNN for Earthquake Early Warning
Rafid Umayer Murshed, Kazi Noshin, Md. Anu Zakaria, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-19
Open Access | Times Cited: 6
The impact of Kahramanmaraş (2023) earthquakes: A comparative case study for Adıyaman and Malatya
Ali Ersin Dinçer, N. Nergiz Dinçer, Ayça Tekin‐Koru, et al.
International Journal of Disaster Risk Reduction (2024) Vol. 110, pp. 104647-104647
Closed Access | Times Cited: 5
Spatial Interpolation Model With Covariates Using Thin Plate Splines
David Hervás, Patricia Carracedo, Guillermo Franco
Lecture notes in computer science (2025), pp. 268-275
Closed Access
Machine Learning Models for Slope Stability Classification of Circular Mode Failure: An Updated Database and Automated Machine Learning (AutoML) Approach
Junwei Ma, Sheng Jiang, Zhiyang Liu, et al.
Sensors (2022) Vol. 22, Iss. 23, pp. 9166-9166
Open Access | Times Cited: 22
Regional economic losses of China's coastline due to typhoon-induced port disruptions
Zhenshiyi Tian, Yi Zhang, Keiko Udo, et al.
Ocean & Coastal Management (2023) Vol. 237, pp. 106533-106533
Closed Access | Times Cited: 13
Benchmarking Biologically-Inspired Automatic Machine Learning for Economic Tasks
Teddy Lazebnik, Tzach Fleischer, Amit Yaniv‐Rosenfeld
Sustainability (2023) Vol. 15, Iss. 14, pp. 11232-11232
Open Access | Times Cited: 12
An ensemble learning with sequential model-based optimization approach for pavement roughness estimation using smartphone sensor data
Wangda Guo, Jinxi Zhang, Muhammed Murtaza, et al.
Construction and Building Materials (2023) Vol. 406, pp. 133293-133293
Closed Access | Times Cited: 10
Machine learning predictions of code-based seismic vulnerability for reinforced concrete and masonry buildings: Insights from a 300-building database
Angelo Aloisio, Yuri De Santis, Francesco Irti, et al.
Engineering Structures (2023) Vol. 301, pp. 117295-117295
Open Access | Times Cited: 10
An Automated Machine Learning Engine with Inverse Analysis for Seismic Design of Dams
Mohammad Amin Hariri‐Ardebili, Farhad Pourkamali‐Anaraki
Water (2022) Vol. 14, Iss. 23, pp. 3898-3898
Open Access | Times Cited: 12
Dynamic prediction and multi-objective optimization on driving position of tunnel boring machine (TBM): an automated deep learning approach
Yue Pan, Ziyi Wang, Lin Sun, et al.
Acta Geotechnica (2024) Vol. 19, Iss. 8, pp. 5611-5636
Closed Access | Times Cited: 2
A seismic-risk-based bi-objective stochastic optimization framework for the pre-disaster allocation of earthquake search and rescue units
Nadi Serhan Aydın
Mathematical Modelling and Numerical Simulation with Applications (2024) Vol. 4, Iss. 3, pp. 370-394
Open Access | Times Cited: 2
Impacts of climate change on long-term reliability of reinforced concrete structures due to chloride ingress
Vasantha Ramani, Limao Zhang
Construction and Building Materials (2022) Vol. 354, pp. 129091-129091
Closed Access | Times Cited: 9
Prediction of storey drift for reinforced concrete structures subjected to pulse-like ground motions using machine learning classification models
Faisal Mehraj Wani, Jayaprakash Vemuri, Chenna Rajaram
International Journal of Structural Integrity (2023) Vol. 15, Iss. 3, pp. 409-433
Closed Access | Times Cited: 5
Earthquake Prediction Model Based on Geomagnetic Field Data Using Automated Machine Learning
Khairul Adib Yusof, Syamsiah Mashohor, Mardina Abdullah, et al.
IEEE Geoscience and Remote Sensing Letters (2024) Vol. 21, pp. 1-5
Closed Access | Times Cited: 1
A surrogate model for predicting dam displacement under seismic load for different orthotropic states of concrete
Rezvan Saeed, Amir Javad Moradloo
Innovative Infrastructure Solutions (2024) Vol. 9, Iss. 4
Closed Access | Times Cited: 1
Intelligent prediction and evaluation models for the seismic risk and vulnerability of reinforced concrete girder bridges in large-scale zones
Siqi Li, Jia-Cheng Han, Yi-Ru Li, et al.
Reliability Engineering & System Safety (2024) Vol. 256, pp. 110743-110743
Closed Access | Times Cited: 1
Verifying empirical predictive modeling of societal vulnerability to hazardous events: A Monte Carlo experimental approach
Yi Wang, Seung Hee Kim, M. Kafatos
Reliability Engineering & System Safety (2023) Vol. 240, pp. 109593-109593
Open Access | Times Cited: 2
Earth Quack Prediction of Southern California Using Unsupervised Clustering Based Ensemble Deep Learning Model
Raghavi K Bhujang, Veeranna Kotagi
(2023), pp. 1-6
Closed Access | Times Cited: 2
A probabilistic estimation model for seismic physical portfolio loss of a water supply pipeline system
Samantha Louise N. Jarder, Osamu Maruyama, Lessandro Estelito O. Garciano
Resilient Cities and Structures (2024) Vol. 3, Iss. 1, pp. 44-54
Open Access
Analyzing Key Factors Influencing Human Mobility Before and During COVID‐19 With Explainable Machine Learning
Wang Ping-ping, Yihong Yuan
Transactions in GIS (2024)
Closed Access
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