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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:

Verification of novel integrations of swarm intelligence algorithms into deep learning neural network for flood susceptibility mapping
Quang‐Thanh Bui, Quoc‐Huy Nguyen, Xuan Linh Nguyen, et al.
Journal of Hydrology (2019) Vol. 581, pp. 124379-124379
Closed Access | Times Cited: 191

Showing 1-25 of 191 citing articles:

Flood susceptibility modelling using advanced ensemble machine learning models
Abu Reza Md. Towfiqul Islam, Swapan Talukdar, Susanta Mahato, et al.
Geoscience Frontiers (2020) Vol. 12, Iss. 3, pp. 101075-101075
Open Access | Times Cited: 427
A comprehensive review of deep learning applications in hydrology and water resources
Muhammed Sit, Bekir Zahit Demiray, Zhongrun Xiang, et al.
Water Science & Technology (2020) Vol. 82, Iss. 12, pp. 2635-2670
Open Access | Times Cited: 403
Flood hazard mapping methods: A review
Rofiat Bunmi Mudashiru, Nuridah Sabtu, Ismail Abustan, et al.
Journal of Hydrology (2021) Vol. 603, pp. 126846-126846
Closed Access | Times Cited: 233
Comparative study of landslide susceptibility mapping with different recurrent neural networks
Yi Wang, Zhice Fang, Mao Wang, et al.
Computers & Geosciences (2020) Vol. 138, pp. 104445-104445
Closed Access | Times Cited: 230
Estimating daily reference evapotranspiration based on limited meteorological data using deep learning and classical machine learning methods
Zhijun Chen, Zhenchuang Zhu, Hao Jiang, et al.
Journal of Hydrology (2020) Vol. 591, pp. 125286-125286
Closed Access | Times Cited: 209
Predicting flood susceptibility using LSTM neural networks
Zhice Fang, Yi Wang, Ling Peng, et al.
Journal of Hydrology (2020) Vol. 594, pp. 125734-125734
Open Access | Times Cited: 208
Flood susceptibility modeling in Teesta River basin, Bangladesh using novel ensembles of bagging algorithms
Swapan Talukdar, Bonosri Ghose, Shahfahad, et al.
Stochastic Environmental Research and Risk Assessment (2020) Vol. 34, Iss. 12, pp. 2277-2300
Closed Access | Times Cited: 184
Flood risk assessment using hybrid artificial intelligence models integrated with multi-criteria decision analysis in Quang Nam Province, Vietnam
Binh Thai Pham, Chinh Luu, Tran Van Phong, et al.
Journal of Hydrology (2020) Vol. 592, pp. 125815-125815
Closed Access | Times Cited: 166
Estimation of root zone soil moisture from ground and remotely sensed soil information with multisensor data fusion and automated machine learning
Ebrahim Babaeian, Sidike Paheding, Nahian Siddique, et al.
Remote Sensing of Environment (2021) Vol. 260, pp. 112434-112434
Open Access | Times Cited: 116
Flood risk assessment using deep learning integrated with multi-criteria decision analysis
Binh Thai Pham, Chinh Luu, Dong Van Dao, et al.
Knowledge-Based Systems (2021) Vol. 219, pp. 106899-106899
Closed Access | Times Cited: 115
Artificial intelligence modelling integrated with Singular Spectral analysis and Seasonal-Trend decomposition using Loess approaches for streamflow predictions
Halit Apaydın, Mohammad Taghi Sattari, Kambiz Falsafian, et al.
Journal of Hydrology (2021) Vol. 600, pp. 126506-126506
Closed Access | Times Cited: 114
Simulated annealing-based dynamic step shuffled frog leaping algorithm: Optimal performance design and feature selection
Yun Liu, Ali Asghar Heidari, Zhennao Cai, et al.
Neurocomputing (2022) Vol. 503, pp. 325-362
Closed Access | Times Cited: 96
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
Impacts of climate factors and human activities on NDVI change in China
Lina Tuoku, Zhijian Wu, Baohui Men
Ecological Informatics (2024) Vol. 81, pp. 102555-102555
Open Access | Times Cited: 42
Flood susceptibility mapping through geoinformatics and ensemble learning methods, with an emphasis on the AdaBoost-Decision Tree algorithm, in Mazandaran, Iran
Maryam Jahanbani, Mohammad H. Vahidnia, Hossein Aghamohammadi, et al.
Earth Science Informatics (2024) Vol. 17, Iss. 2, pp. 1433-1457
Closed Access | Times Cited: 18
Metaheuristic-driven enhancement of categorical boosting algorithm for flood-prone areas mapping
Seyed Vahid Razavi-Termeh, Ali Pourzangbar, Abolghasem Sadeghi‐Niaraki, et al.
International Journal of Applied Earth Observation and Geoinformation (2025) Vol. 136, pp. 104357-104357
Closed Access | Times Cited: 2
Can deep learning algorithms outperform benchmark machine learning algorithms in flood susceptibility modeling?
Binh Thai Pham, Chinh Luu, Tran Van Phong, et al.
Journal of Hydrology (2020) Vol. 592, pp. 125615-125615
Closed Access | Times Cited: 121
A Comparative Study of Kernel Logistic Regression, Radial Basis Function Classifier, Multinomial Naïve Bayes, and Logistic Model Tree for Flash Flood Susceptibility Mapping
Binh Thai Pham, Tran Van Phong, Huu Duy Nguyen, et al.
Water (2020) Vol. 12, Iss. 1, pp. 239-239
Open Access | Times Cited: 111
Hybridizing Gray Wolf Optimization (GWO) with Grasshopper Optimization Algorithm (GOA) for text feature selection and clustering
R. Purushothaman, S. P. Rajagopalan, Gopinath Dhandapani
Applied Soft Computing (2020) Vol. 96, pp. 106651-106651
Closed Access | Times Cited: 86
Comparison of gradient boosted decision trees and random forest for groundwater potential mapping in Dholpur (Rajasthan), India
Shruti Sachdeva, Bijendra Kumar
Stochastic Environmental Research and Risk Assessment (2020) Vol. 35, Iss. 2, pp. 287-306
Open Access | Times Cited: 81
Deep Neural Network Utilizing Remote Sensing Datasets for Flood Hazard Susceptibility Mapping in Brisbane, Australia
Bahareh Kalantar, Naonori Ueda, Vahideh Saeidi, et al.
Remote Sensing (2021) Vol. 13, Iss. 13, pp. 2638-2638
Open Access | Times Cited: 73
Exploring Artificial Intelligence Techniques for Groundwater Quality Assessment
Purushottam Agrawal, Alok Sinha, Satish Kumar, et al.
Water (2021) Vol. 13, Iss. 9, pp. 1172-1172
Open Access | Times Cited: 71
Flash-Flood Potential Mapping Using Deep Learning, Alternating Decision Trees and Data Provided by Remote Sensing Sensors
Romulus Costache, Alireza Arabameri, Thomas Blaschke, et al.
Sensors (2021) Vol. 21, Iss. 1, pp. 280-280
Open Access | Times Cited: 67
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