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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:

Spatial prediction of flood potential using new ensembles of bivariate statistics and artificial intelligence: A case study at the Putna river catchment of Romania
Romulus Costache, Dieu Tien Bui
The Science of The Total Environment (2019) Vol. 691, pp. 1098-1118
Closed Access | Times Cited: 149

Showing 26-50 of 149 citing articles:

Machine learning algorithm-based risk assessment of riparian wetlands in Padma River Basin of Northwest Bangladesh
Abu Reza Md. Towfiqul Islam, Swapan Talukdar, Susanta Mahato, et al.
Environmental Science and Pollution Research (2021) Vol. 28, Iss. 26, pp. 34450-34471
Closed Access | Times Cited: 72
Novel Ensembles of Deep Learning Neural Network and Statistical Learning for Flash-Flood Susceptibility Mapping
Romulus Costache, Phuong Thao Thi Ngo, Dieu Tien Bui
Water (2020) Vol. 12, Iss. 6, pp. 1549-1549
Open Access | Times Cited: 71
Hybrid Models Incorporating Bivariate Statistics and Machine Learning Methods for Flash Flood Susceptibility Assessment Based on Remote Sensing Datasets
Jun Liu, Jiyan Wang, Junnan Xiong, et al.
Remote Sensing (2021) Vol. 13, Iss. 23, pp. 4945-4945
Open Access | Times Cited: 57
Assessment of flood susceptibility mapping using support vector machine, logistic regression and their ensemble techniques in the Belt and Road region
Jun Liu, Jiyan Wang, Junnan Xiong, et al.
Geocarto International (2022) Vol. 37, Iss. 25, pp. 9817-9846
Closed Access | Times Cited: 48
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
Computational Machine Learning Approach for Flood Susceptibility Assessment Integrated with Remote Sensing and GIS Techniques from Jeddah, Saudi Arabia
Ahmed M. Al‐Areeq, Sani I. Abba, Mohamed A. Yassin, et al.
Remote Sensing (2022) Vol. 14, Iss. 21, pp. 5515-5515
Open Access | Times Cited: 43
Machine Learning Algorithms for Modeling and Mapping of Groundwater Pollution Risk: A Study to Reach Water Security and Sustainable Development (Sdg) Goals in a Mediterranean Aquifer System
Safae Ijlil, Ali Essahlaoui, Meriame Mohajane, et al.
Remote Sensing (2022) Vol. 14, Iss. 10, pp. 2379-2379
Open Access | Times Cited: 41
Comparison of analytic network process and artificial neural network models for flash flood susceptibility assessment
Noura Dahri, Rabiaa Yousfi, Ali Bouamrane, et al.
Journal of African Earth Sciences (2022) Vol. 193, pp. 104576-104576
Closed Access | Times Cited: 40
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: 36
Flood susceptibility mapping using hybrid models optimized with Artificial Bee Colony
Konstantinos Plataridis, Zisis Mallios
Journal of Hydrology (2023) Vol. 624, pp. 129961-129961
Closed Access | Times Cited: 29
LULC changes to riverine flooding: A case study on the Jamuna River, Bangladesh using the multilayer perceptron model
Md Mehedi Hasan, Md Sahjalal Mondol Nilay, Nahid Hossain Jibon, et al.
Results in Engineering (2023) Vol. 18, pp. 101079-101079
Open Access | Times Cited: 26
An integrated model chain for future flood risk prediction under land-use changes
Jun Liu, Junnan Xiong, Yangbo Chen, et al.
Journal of Environmental Management (2023) Vol. 342, pp. 118125-118125
Closed Access | Times Cited: 26
Flood risk assessment of urban metro system using random forest algorithm and triangular fuzzy number based analytical hierarchy process approach
Xinjian Guan, Fengjiao Yu, Hongshi Xu, et al.
Sustainable Cities and Society (2024) Vol. 109, pp. 105546-105546
Closed Access | Times Cited: 16
Flash Flood Susceptibility Modelling Using Soft Computing-Based Approaches: From Bibliometric to Meta-Data Analysis and Future Research Directions
Gilbert Hinge, Mohamed A. Hamouda, Mohamed Mostafa Mohamed
Water (2024) Vol. 16, Iss. 1, pp. 173-173
Open Access | Times Cited: 12
A 100-m gridded population dataset of China’s seventh census using ensemble learning and geospatial big data
Yuehong Chen, Congcong Xu, Yong Ge, et al.
(2024)
Open Access | Times Cited: 11
Implication of novel hybrid machine learning model for flood subsidence susceptibility mapping: A representative case study in Saudi Arabia
Ahmed M. Al‐Areeq, Radhwan A. A. Saleh, Mustafa Ghaleb, et al.
Journal of Hydrology (2024) Vol. 630, pp. 130692-130692
Closed Access | Times Cited: 10
Flood susceptibility mapping in the Yom River Basin, Thailand: stacking ensemble learning using multi-year flood inventory data
Gen Long, Sarintip Tantanee, Korakod Nusit, et al.
Geocarto International (2025) Vol. 40, Iss. 1
Open Access | Times Cited: 1
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 | Times Cited: 1
Flood Hazard Mapping Using the Flood and Flash-Flood Potential Index in the Buzău River Catchment, Romania
Mihnea Cristian Popa, Daniel Peptenatu, Cristian-Constantin Drăghici, et al.
Water (2019) Vol. 11, Iss. 10, pp. 2116-2116
Open Access | Times Cited: 73
Using GIS, Remote Sensing, and Machine Learning to Highlight the Correlation between the Land-Use/Land-Cover Changes and Flash-Flood Potential
Romulus Costache, Quoc Bao Pham, Ema Corodescu-Roșca, et al.
Remote Sensing (2020) Vol. 12, Iss. 9, pp. 1422-1422
Open Access | Times Cited: 65
New neural fuzzy-based machine learning ensemble for enhancing the prediction accuracy of flood susceptibility mapping
Romulus Costache, Roxana Ţîncu, Ismail Elkhrachy, et al.
Hydrological Sciences Journal (2020) Vol. 65, Iss. 16, pp. 2816-2837
Closed Access | Times Cited: 65
Comparing performance of random forest and adaptive neuro-fuzzy inference system data mining models for flood susceptibility mapping
Mehdi Vafakhah, Sajad Mohammad Hasani Loor, Hamid Reza Pourghasemi, et al.
Arabian Journal of Geosciences (2020) Vol. 13, Iss. 11
Closed Access | Times Cited: 61
Detection of areas prone to flood risk using state-of-the-art machine learning models
Romulus Costache, Alireza Arabameri, Ismail Elkhrachy, et al.
Geomatics Natural Hazards and Risk (2021) Vol. 12, Iss. 1, pp. 1488-1507
Open Access | Times Cited: 53

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