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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:

Application of stacking hybrid machine learning algorithms in delineating multi-type flooding in Bangladesh
Mahfuzur Rahman, Ningsheng Chen, Ahmed Elbeltagi, et al.
Journal of Environmental Management (2021) Vol. 295, pp. 113086-113086
Closed Access | Times Cited: 84

Showing 1-25 of 84 citing articles:

Deep learning-based landslide susceptibility mapping
Mohammad Azarafza, Mehdi Azarafza, Haluk Akgün, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 253
A Review of Ensemble Learning Algorithms Used in Remote Sensing Applications
Yuzhen Zhang, Jingjing Liu, Wenjuan Shen
Applied Sciences (2022) Vol. 12, Iss. 17, pp. 8654-8654
Open Access | Times Cited: 177
Multi-hazard susceptibility mapping based on Convolutional Neural Networks
Kashif Ullah, Yi Wang, Zhice Fang, et al.
Geoscience Frontiers (2022) Vol. 13, Iss. 5, pp. 101425-101425
Open Access | Times Cited: 78
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: 46
Uncertainty Reduction in Flood Susceptibility Mapping Using Random Forest and eXtreme Gradient Boosting Algorithms in Two Tropical Desert Cities, Shibam and Marib, Yemen
Ali R. Al-Aizari, Hassan Alzahrani, Omar F. Althuwaynee, et al.
Remote Sensing (2024) Vol. 16, Iss. 2, pp. 336-336
Open Access | Times Cited: 14
Enhancing flood susceptibility mapping in Meghna River basin by introducing ensemble Naive Bayes with stacking algorithms
Abu Reza Md. Towfiqul Islam, Md. Uzzal Mia, Nílson Augusto Villa Nova, et al.
Geomatics Natural Hazards and Risk (2025) Vol. 16, Iss. 1
Open Access | Times Cited: 1
A review on flood management technologies related to image processing and machine learning
Hafiz Suliman Munawar, Ahmed W. A. Hammad, S. Travis Waller
Automation in Construction (2021) Vol. 132, pp. 103916-103916
Closed Access | Times Cited: 91
Drought indicator analysis and forecasting using data driven models: case study in Jaisalmer, India
Ahmed Elbeltagi, Manish Kumar, Nand Lal Kushwaha, et al.
Stochastic Environmental Research and Risk Assessment (2022) Vol. 37, Iss. 1, pp. 113-131
Closed Access | Times Cited: 66
Data intelligence and hybrid metaheuristic algorithms-based estimation of reference evapotranspiration
Ahmed Elbeltagi, Ali Raza, Yongguang Hu, et al.
Applied Water Science (2022) Vol. 12, Iss. 7
Open Access | Times Cited: 57
Modelling daily reference evapotranspiration based on stacking hybridization of ANN with meta-heuristic algorithms under diverse agro-climatic conditions
Ahmed Elbeltagi, Nand Lal Kushwaha, Jitendra Rajput, et al.
Stochastic Environmental Research and Risk Assessment (2022) Vol. 36, Iss. 10, pp. 3311-3334
Closed Access | Times Cited: 53
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: 44
Forecasting vapor pressure deficit for agricultural water management using machine learning in semi-arid environments
Ahmed Elbeltagi, Aman Srivastava, Jinsong Deng, et al.
Agricultural Water Management (2023) Vol. 283, pp. 108302-108302
Open Access | Times Cited: 33
Flood Forecasting by Using Machine Learning: A Study Leveraging Historic Climatic Records of Bangladesh
Adel Rajab, Hira Farman, Noman Islam, et al.
Water (2023) Vol. 15, Iss. 22, pp. 3970-3970
Open Access | Times Cited: 32
Development of a new integrated flood resilience model using machine learning with GIS-based multi-criteria decision analysis
Muhammad Hussain, Muhammad Tayyab, Kashif Ullah, et al.
Urban Climate (2023) Vol. 50, pp. 101589-101589
Closed Access | Times Cited: 29
Forecasting of stage-discharge in a non-perennial river using machine learning with gamma test
Dinesh Kumar Vishwakarma, Alban Kuriqi, Salwan Ali Abed, et al.
Heliyon (2023) Vol. 9, Iss. 5, pp. e16290-e16290
Open Access | Times Cited: 27
Artificial neural network for flood susceptibility mapping in Bangladesh
Rhyme Rubayet Rudra, Showmitra Kumar Sarkar
Heliyon (2023) Vol. 9, Iss. 6, pp. e16459-e16459
Open Access | Times Cited: 25
Event-based decision support algorithm for real-time flood forecasting in urban drainage systems using machine learning modelling
Farzad Piadeh, Kourosh Behzadian, Albert Chen, et al.
Environmental Modelling & Software (2023) Vol. 167, pp. 105772-105772
Open Access | Times Cited: 25
A comparative analysis of feature selection models for spatial analysis of floods using hybrid metaheuristic and machine learning models
Javeria Sarwar, Saud Khan, Muhammad Azmat, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 23, pp. 33495-33514
Closed Access | Times Cited: 9
Optimization and prediction of dye adsorption utilising cross-linked chitosan-activated charcoal: Response Surface Methodology and machine learning
Arun Kumar Shukla, Javed Alam, Santanu Mallik, et al.
Journal of Molecular Liquids (2024) Vol. 411, pp. 125745-125745
Closed Access | Times Cited: 9
Stacked hybridization to enhance the performance of artificial neural networks (ANN) for prediction of water quality index in the Bagh river basin, India
Nand Lal Kushwaha, Nanabhau S. Kudnar, Dinesh Kumar Vishwakarma, et al.
Heliyon (2024) Vol. 10, Iss. 10, pp. e31085-e31085
Open Access | Times Cited: 7
Enhanced machine learning models development for flash flood mapping using geospatial data
Yacine Hasnaoui, Salah Eddine Tachi, Hamza Bouguerra, et al.
Euro-Mediterranean Journal for Environmental Integration (2024) Vol. 9, Iss. 3, pp. 1087-1107
Closed Access | Times Cited: 7
GIS-Based Comparative Study of the Bayesian Network, Decision Table, Radial Basis Function Network and Stochastic Gradient Descent for the Spatial Prediction of Landslide Susceptibility
Junpeng Huang, Sixiang Ling, Xiyong Wu, et al.
Land (2022) Vol. 11, Iss. 3, pp. 436-436
Open Access | Times Cited: 34
National-scale flood risk assessment using GIS and remote sensing-based hybridized deep neural network and fuzzy analytic hierarchy process models: a case of Bangladesh
Zakaria Shams Siam, Rubyat Tasnuva Hasan, Soumik Sarker Anik, et al.
Geocarto International (2022) Vol. 37, Iss. 26, pp. 12119-12148
Open Access | Times Cited: 28
Evaluation of Data-driven Hybrid Machine Learning Algorithms for Modelling Daily Reference Evapotranspiration
Nand Lal Kushwaha, Jitendra Rajput, D.R. Sena, et al.
ATMOSPHERE-OCEAN (2022) Vol. 60, Iss. 5, pp. 519-540
Closed Access | Times Cited: 28
Multi-hazard could exacerbate in coastal Bangladesh in the context of climate change
Mahfuzur Rahman, Shufeng Tian, Md Sakib Hasan Tumon, et al.
Journal of Cleaner Production (2024) Vol. 457, pp. 142289-142289
Closed Access | Times Cited: 6
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