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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:

Earth fissure hazard prediction using machine learning models
Bahram Choubin, Amir Mosavi, Esmail Heydari Alamdarloo, et al.
Environmental Research (2019) Vol. 179, pp. 108770-108770
Closed Access | Times Cited: 133

Showing 26-50 of 133 citing articles:

Spatial Analysis of Seasonal Precipitation over Iran: Co-Variation with Climate Indices
Majid Dehghani, Somayeh Salehi, Amir Mosavi, et al.
ISPRS International Journal of Geo-Information (2020) Vol. 9, Iss. 2, pp. 73-73
Open Access | Times Cited: 40
Machine Learning analysis of the human infant gut microbiome identifies influential species in type 1 diabetes
Diego Fernández-Edreira, José Liñares-Blanco, Carlos Fernández-Lozano
Expert Systems with Applications (2021) Vol. 185, pp. 115648-115648
Open Access | Times Cited: 40
Data driven models to predict pore pressure using drilling and petrophysical data
Farshad Jafarizadeh, Meysam Rajabi, Somayeh Tabasi, et al.
Energy Reports (2022) Vol. 8, pp. 6551-6562
Open Access | Times Cited: 28
A spatially based machine learning algorithm for potential mapping of the hearing senses in an urban environment
Mahsa Farahani, Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi‐Niaraki
Sustainable Cities and Society (2022) Vol. 80, pp. 103675-103675
Closed Access | Times Cited: 25
Application of machine learning methods for snow avalanche susceptibility mapping in the Parlung Tsangpo catchment, southeastern Qinghai-Tibet Plateau
Hong Wen, Xiyong Wu, Xin Liao, et al.
Cold Regions Science and Technology (2022) Vol. 198, pp. 103535-103535
Closed Access | Times Cited: 25
A Biomineralization, Mechanical and Durability Features of Bacteria-Based Self-Healing Concrete—A State of the Art Review
Sardar Kashif Ur Rehman, Faisal Mahmood, Mohammed Jameel, et al.
Crystals (2022) Vol. 12, Iss. 9, pp. 1222-1222
Open Access | Times Cited: 24
Modified DRASTIC model for groundwater vulnerability to nitrate contamination in the Dagujia river basin, China
Aihua Wei, Pan Bi, Jie Guo, et al.
Water Science & Technology Water Supply (2021) Vol. 21, Iss. 4, pp. 1793-1805
Open Access | Times Cited: 31
Predicting Power and Hydrogen Generation of a Renewable Energy Converter Utilizing Data-Driven Methods: A Sustainable Smart Grid Case Study
Fatemehsadat Mirshafiee, Emad Shahbazi, Mohadeseh Safi, et al.
Energies (2023) Vol. 16, Iss. 1, pp. 502-502
Open Access | Times Cited: 13
COVID-19 Outbreak Prediction with Machine Learning
Sina Ardabili, Amir Mosavi, Pedram Ghamisi, et al.
(2020)
Open Access | Times Cited: 30
Advanced machine learning algorithms for flood susceptibility modeling — performance comparison: Red Sea, Egypt
Ahmed M. Youssef, Hamid Reza Pourghasemi, Bosy A. El‐Haddad
Environmental Science and Pollution Research (2022) Vol. 29, Iss. 44, pp. 66768-66792
Closed Access | Times Cited: 19
Robust computational approach to determine the safe mud weight window using well-log data from a large gas reservoir
Saeed Beheshtian, Meysam Rajabi, Shadfar Davoodi, et al.
Marine and Petroleum Geology (2022) Vol. 142, pp. 105772-105772
Closed Access | Times Cited: 19
Prediction of fracture density in a gas reservoir using robust computational approaches
Guozhong Gao, Omid Hazbeh, Shadfar Davoodi, et al.
Frontiers in Earth Science (2023) Vol. 10
Open Access | Times Cited: 11
Assessing the Value of Qanat System of Yazd in Promoting Urban Climate Resilience
Mahdi Shakibamanesh
Advances in 21st century human settlements (2025), pp. 113-124
Closed Access
Online sequential extreme learning machine in river water quality (turbidity) prediction: a comparative study on different data mining approaches
Mohammad Zounemat‐Kermani, Meysam Alizamir, Marzieh Fadaee, et al.
Water and Environment Journal (2020) Vol. 35, Iss. 1, pp. 335-348
Closed Access | Times Cited: 26
Predictive modeling of selected trace elements in groundwater using hybrid algorithms of iterative classifier optimizer
Khabat Khosravi, Rahim Barzegar, Ali Golkarian, et al.
Journal of Contaminant Hydrology (2021) Vol. 242, pp. 103849-103849
Closed Access | Times Cited: 22
A spatial evaluation method for earthquake disaster using optimized BP neural network model
Hanxu Zhou, Ailan Che, Shuai Xiang-hua, et al.
Geomatics Natural Hazards and Risk (2023) Vol. 14, Iss. 1, pp. 1-26
Open Access | Times Cited: 9
A new hazard event classification model via deep learning and multifractal
Zhenhua Wang, Bin Wang, Ming Ren, et al.
Computers in Industry (2023) Vol. 147, pp. 103875-103875
Closed Access | Times Cited: 9
Understanding the Spatial Variability of the Relationship between InSAR-Derived Deformation and Groundwater Level Using Machine Learning
Guobin Fu, Wolfgang Schmid, Pascal Castellazzi
Geosciences (2023) Vol. 13, Iss. 5, pp. 133-133
Open Access | Times Cited: 9
Federated learning‐based IoT: A systematic literature review
Mehdi Hosseinzadeh, Atefeh Hemmati, Amir Masoud Rahmani
International Journal of Communication Systems (2022) Vol. 35, Iss. 11
Closed Access | Times Cited: 14
Support vector regression and ANN approach for predicting the ground water quality
Maha Abdallah Alnuwaiser, Muhammad Faisal Javed, M. Ijaz Khan, et al.
Journal of the Indian Chemical Society (2022) Vol. 99, Iss. 7, pp. 100538-100538
Closed Access | Times Cited: 13
A Comprehensive Method for the Risk Assessment of Ground Fissures: Case Study of the Eastern Weihe Basin
Zhijie Jia, Jianbing Peng, Quanzhong Lu, et al.
Journal of Earth Science (2023) Vol. 34, Iss. 6, pp. 1892-1907
Closed Access | Times Cited: 7
Comparing the Performance of Machine Learning Algorithms for Groundwater Mapping in Delhi
Zainab Khan, Mohammad Mohsin, Sk Ajim Ali, et al.
Journal of the Indian Society of Remote Sensing (2023) Vol. 52, Iss. 1, pp. 17-39
Closed Access | Times Cited: 7
A diagnosis-based approach to assess specific risks of river degradation in a multiple pressure context: Insights from fish communities
Olivier Dézerald, Cédric P. Mondy, S. Dembski, et al.
The Science of The Total Environment (2020) Vol. 734, pp. 139467-139467
Open Access | Times Cited: 17
Dealing with Imbalanced Dataset Leveraging Boundary Samples Discovered by Support Vector Data Description
Zhengbo Luo, Ham飀 Parv飊, Harish Garg, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2021) Vol. 66, Iss. 3, pp. 2691-2708
Open Access | Times Cited: 15
Geological Hazard Susceptibility Analysis and Developmental Characteristics Based on Slope Unit, Using the Xinxian County, Henan Province as an Example
Wentao Yang, Ruiqing Niu, Rongjun Si, et al.
Sensors (2024) Vol. 24, Iss. 8, pp. 2457-2457
Open Access | Times Cited: 2

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