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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:

Flash flood susceptibility mapping using a novel deep learning model based on deep belief network, back propagation and genetic algorithm
Himan Shahabi, Ataollah Shirzadi, Somayeh Ronoud, et al.
Geoscience Frontiers (2020) Vol. 12, Iss. 3, pp. 101100-101100
Open Access | Times Cited: 133

Showing 1-25 of 133 citing articles:

A hybrid ensemble-based deep-learning framework for landslide susceptibility mapping
Liang Lv, Tao Chen, Jie Dou, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 108, pp. 102713-102713
Open Access | Times Cited: 120
The State of the Art in Deep Learning Applications, Challenges, and Future Prospects: A Comprehensive Review of Flood Forecasting and Management
Vijendra Kumar, Hazi Mohammad Azamathulla, Kul Vaibhav Sharma, et al.
Sustainability (2023) Vol. 15, Iss. 13, pp. 10543-10543
Open Access | Times Cited: 106
Land use and land cover classification with hyperspectral data: A comprehensive review of methods, challenges and future directions
Mohammed Abdulmajeed Moharram, Divya Meena Sundaram
Neurocomputing (2023) Vol. 536, pp. 90-113
Closed Access | Times Cited: 81
Flash-flood hazard using deep learning based on H2O R package and fuzzy-multicriteria decision-making analysis
Romulus Costache, Tran Trung Tin, Alireza Arabameri, et al.
Journal of Hydrology (2022) Vol. 609, pp. 127747-127747
Closed Access | Times Cited: 75
Enhancing flood risk assessment through integration of ensemble learning approaches and physical-based hydrological modeling
Mohamed Saber, Tayeb Boulmaiz, Mawloud Guermoui, et al.
Geomatics Natural Hazards and Risk (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 52
Application of genetic algorithm in optimization parallel ensemble-based machine learning algorithms to flood susceptibility mapping using radar satellite imagery
Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi‐Niaraki, Myoung-Bae Seo, et al.
The Science of The Total Environment (2023) Vol. 873, pp. 162285-162285
Closed Access | Times Cited: 49
Flood susceptibility assessment of the Agartala Urban Watershed, India, using Machine Learning Algorithm
Jatan Debnath, Jimmi Debbarma, Amal Debnath, et al.
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 2
Closed Access | Times Cited: 20
Flood hazards susceptibility mapping using statistical, fuzzy logic, and MCDM methods
Hüseyın Akay
Soft Computing (2021) Vol. 25, Iss. 14, pp. 9325-9346
Closed Access | Times Cited: 104
Examining LightGBM and CatBoost models for wadi flash flood susceptibility prediction
Mohamed Saber, Tayeb Boulmaiz, Mawloud Guermoui, et al.
Geocarto International (2021) Vol. 37, Iss. 25, pp. 7462-7487
Open Access | Times Cited: 102
Urban flood susceptibility mapping based on social media data in Chengdu city, China
Yao Li, Frank Osei, Tangao Hu, et al.
Sustainable Cities and Society (2022) Vol. 88, pp. 104307-104307
Open Access | Times Cited: 65
Mapping prospectivity for regolith-hosted REE deposits via convolutional neural network with generative adversarial network augmented data
Tong Li, Renguang Zuo, Xin-Fu Zhao, et al.
Ore Geology Reviews (2022) Vol. 142, pp. 104693-104693
Open Access | Times Cited: 59
Flood susceptibility modeling based on new hybrid intelligence model: Optimization of XGboost model using GA metaheuristic algorithm
Nguyễn Thị Thùy Linh, Manish Pandey, Saeid Janizadeh, et al.
Advances in Space Research (2022) Vol. 69, Iss. 9, pp. 3301-3318
Closed Access | Times Cited: 56
Comparative study of convolutional neural network (CNN) and support vector machine (SVM) for flood susceptibility mapping: a case study at Ras Gharib, Red Sea, Egypt
Ahmed M. Youssef, Biswajeet Pradhan, Abhirup Dikshit, et al.
Geocarto International (2022) Vol. 37, Iss. 26, pp. 11088-11115
Closed Access | Times Cited: 52
Modelling flood susceptibility based on deep learning coupling with ensemble learning models
Yuting Li, Haoyuan Hong
Journal of Environmental Management (2022) Vol. 325, pp. 116450-116450
Closed Access | Times Cited: 49
Flood susceptibility mapping of Northeast coastal districts of Tamil Nadu India using Multi-source Geospatial data and Machine Learning techniques
Subbarayan Saravanan, Devanantham Abijith
Geocarto International (2022) Vol. 37, Iss. 27, pp. 15252-15281
Closed Access | Times Cited: 46
Exploring the additional value of class imbalance distributions on interpretable flash flood susceptibility prediction in the Black Warrior River basin, Alabama, United States
Ömer Ekmekcioğlu, Kerim Koç, Mehmet Özger, et al.
Journal of Hydrology (2022) Vol. 610, pp. 127877-127877
Closed Access | Times Cited: 45
Explainable step-wise binary classification for the susceptibility assessment of geo-hydrological hazards
Ömer Ekmekcioğlu, Kerim Koç
CATENA (2022) Vol. 216, pp. 106379-106379
Closed Access | Times Cited: 44
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: 44
Neuro-Fuzzy-AHP (NFAHP) Technique for Copper Exploration Using Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and Geological Datasets in the Sahlabad Mining Area, East Iran
Ареф Ширази, Ardeshir Hezarkhani, Amin Beiranvand Pour, et al.
Remote Sensing (2022) Vol. 14, Iss. 21, pp. 5562-5562
Open Access | Times Cited: 42
Flood Susceptibility Mapping Using Remote Sensing and Integration of Decision Table Classifier and Metaheuristic Algorithms
Shavan Askar, Sajjad Zeraat Peyma, Mohanad Mohsen Yousef, et al.
Water (2022) Vol. 14, Iss. 19, pp. 3062-3062
Open Access | Times Cited: 41
Parameters and methods used in flood susceptibility mapping: a review
Çağla Melisa KAYA, Leyla Derin
Journal of Water and Climate Change (2023) Vol. 14, Iss. 6, pp. 1935-1960
Open Access | Times Cited: 38
Flood susceptibility mapping using support vector regression and hyper‐parameter optimization
Aryan Salvati, Alireza Moghaddam Nia, Ali Salajegheh, et al.
Journal of Flood Risk Management (2023) Vol. 16, Iss. 4
Open Access | Times Cited: 33
Flash flood detection and susceptibility mapping in the Monsoon period by integration of optical and radar satellite imagery using an improvement of a sequential ensemble algorithm
Seyed Vahid Razavi-Termeh, Myoung-Bae Seo, Abolghasem Sadeghi‐Niaraki, et al.
Weather and Climate Extremes (2023) Vol. 41, pp. 100595-100595
Open Access | Times Cited: 29
Modelling on assessment of flood risk susceptibility at the Jia Bharali River basin in Eastern Himalayas by integrating multicollinearity tests and geospatial techniques
Jatan Debnath, Dhrubojyoti Sahariah, Nityaranjan Nath, et al.
Modeling Earth Systems and Environment (2023) Vol. 10, Iss. 2, pp. 2393-2419
Open Access | Times Cited: 24
Evaluation of flood susceptibility prediction based on a resampling method using machine learning
Septianto Aldiansyah, Farida Wardani
Journal of Water and Climate Change (2023) Vol. 14, Iss. 3, pp. 937-961
Open Access | Times Cited: 23
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