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:

Analysis of Earthquake Forecasting in India Using Supervised Machine Learning Classifiers
Papiya Debnath, Pankaj Chittora, Tulika Chakrabarti, et al.
Sustainability (2021) Vol. 13, Iss. 2, pp. 971-971
Open Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

Internet of Things (IoT) security dataset evolution: Challenges and future directions
Barjinder Kaur, Sajjad Dadkhah, Farzaneh Shoeleh, et al.
Internet of Things (2023) Vol. 22, pp. 100780-100780
Closed Access | Times Cited: 98

Assessment Analysis of Flood Susceptibility in Tropical Desert Area: A Case Study of Yemen
Ali R. Al-Aizari, Yousef A. Al-Masnay, Ali Aydda, et al.
Remote Sensing (2022) Vol. 14, Iss. 16, pp. 4050-4050
Open Access | Times Cited: 43

Machine learning for earthquake prediction: a review (2017–2021)
Nurafiqah Syahirah Md Ridzwan, Siti Harwani Md. Yusoff
Earth Science Informatics (2023) Vol. 16, Iss. 2, pp. 1133-1149
Closed Access | Times Cited: 17

Novel ANOVA-Statistic-Reduced Deep Fully Connected Neural Network for the Damage Grade Prediction of Post-Earthquake Buildings
K. R. Sri Preethaa, M. Shyamala Devi, Aruna Rajendran, et al.
Sensors (2023) Vol. 23, Iss. 14, pp. 6439-6439
Open Access | Times Cited: 13

Analyze the political preference of a common man by using data mining and machine learning
G. Gokulkumari, M. Ravichand, Pooja Nagpal, et al.
2022 International Conference on Computer Communication and Informatics (ICCCI) (2023)
Closed Access | Times Cited: 12

A systematic review of Earthquake Early Warning (EEW) systems based on Artificial Intelligence
Pirhossein Kolivand, Peyman Saberian, Mozhgan Tanhapour, et al.
Earth Science Informatics (2024) Vol. 17, Iss. 2, pp. 957-984
Closed Access | Times Cited: 4

Spatial analysis of flood susceptibility in Coastal area of Pakistan using machine learning models and SAR imagery
Muhammad Afaq Hussain, Zhanlong Chen, Yulong Zhou, et al.
Environmental Earth Sciences (2025) Vol. 84, Iss. 5
Closed Access

Integrating spatio-temporal density-based clustering and neural networks for earthquake classification
Luis Delgado, Billy Peralta, Orietta Nicolis, et al.
Expert Systems with Applications (2025), pp. 127186-127186
Closed Access

An Approach for Clustering of Seismic Events using Unsupervised Machine Learning
Мархаба Карменова, Aizhan Tlebaldinova, Юрий Крак, et al.
Acta Polytechnica Hungarica (2022) Vol. 19, Iss. 5, pp. 7-22
Open Access | Times Cited: 18

A New Predictive Method for Classification Tasks in Machine Learning: Multi-Class Multi-Label Logistic Model Tree (MMLMT)
Bita Ghasemkhani, Kadriye Filiz Balbal, Derya Birant
Mathematics (2024) Vol. 12, Iss. 18, pp. 2825-2825
Open Access | Times Cited: 3

A new method to promptly evaluate spatial earthquake probability mapping using an explainable artificial intelligence (XAI) model
Ratiranjan Jena, Biswajeet Pradhan, Shilpa Gite, et al.
Gondwana Research (2022) Vol. 123, pp. 54-67
Closed Access | Times Cited: 13

The Role of Machine Learning in Earthquake Seismology: A Review
Anup Chitkeshwar
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 2

Influence of Chemical Treatment of Natural Fibres Using the SPSS Method
Mahesha Mamatha, M Ramchandran, Kurinjimalar Ramu
Journal on Materials and its Characterization (2023) Vol. 2, Iss. 1, pp. 28-39
Open Access | Times Cited: 6

Monitor the Strength Status of Buildings Using Hybrid Machine Learning Technique
Vishnu Vardhana Rao M, Aparna Chaparala, Praphula Kumar Jain, et al.
IEEE Access (2023) Vol. 11, pp. 26441-26458
Open Access | Times Cited: 5

Logistic Model Tree Forest for Steel Plates Faults Prediction
Bita Ghasemkhani, Reyat Yılmaz, Derya Birant, et al.
Machines (2023) Vol. 11, Iss. 7, pp. 679-679
Open Access | Times Cited: 4

Feasibility of Principal Component Analysis for Multi-Class Earthquake Prediction Machine Learning Model Utilizing Geomagnetic Field Data
Kasyful Qaedi, Mardina Abdullah, Khairul Adib Yusof, et al.
Geosciences (2024) Vol. 14, Iss. 5, pp. 121-121
Open Access | Times Cited: 1

Comprehensive risk assessment of natural disasters based on machine learning in Changzhou City, China
Weiyi Ju, Zhixiang Xing, Jie Wu
Environment Development and Sustainability (2024)
Closed Access | Times Cited: 1

Performance analyses of five neural network classifiers on nodule classification in lung CT images using WEKA: a comparative study
Md. Anwar Hussain, Lakshipriya Gogoi
Physical and Engineering Sciences in Medicine (2022) Vol. 45, Iss. 4, pp. 1193-1204
Closed Access | Times Cited: 5

Early-stage detection of eye diseases on microblogs: glaucoma recognition
Samer Muthana Sarsam, Hosam Al‐Samarraie
International Journal of Information Technology (2021) Vol. 14, Iss. 1, pp. 255-264
Closed Access | Times Cited: 6

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

Intelligent solutions for earthquake data analysis and prediction for future smart cities
Bhawna Dey, Parthh Dikshit, Samridhi Sehgal, et al.
Computers & Industrial Engineering (2022) Vol. 170, pp. 108368-108368
Closed Access | Times Cited: 4

Sustainable Transportation Systems Analysis using WASPAS MCDM Method
C. Venkateswaran, M Ramachandran, Manjula Selvam
(2022) Vol. 2, Iss. 2, pp. 123-130
Open Access | Times Cited: 3

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