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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:

A Hybrid Computational Intelligence Approach to Groundwater Spring Potential Mapping
Dieu Tien Bui, Ataollah Shirzadi, Kamran Chapi, et al.
Water (2019) Vol. 11, Iss. 10, pp. 2013-2013
Open Access | Times Cited: 77

Showing 1-25 of 77 citing articles:

Comparisons of heuristic, general statistical and machine learning models for landslide susceptibility prediction and mapping
Faming Huang, Zhongshan Cao, Jianfei Guo, et al.
CATENA (2020) Vol. 191, pp. 104580-104580
Closed Access | Times Cited: 389
Flood Detection and Susceptibility Mapping Using Sentinel-1 Remote Sensing Data and a Machine Learning Approach: Hybrid Intelligence of Bagging Ensemble Based on K-Nearest Neighbor Classifier
Himan Shahabi, Ataollah Shirzadi, Kayvan Ghaderi, et al.
Remote Sensing (2020) Vol. 12, Iss. 2, pp. 266-266
Open Access | Times Cited: 303
Shallow Landslide Susceptibility Mapping: A Comparison between Logistic Model Tree, Logistic Regression, Naïve Bayes Tree, Artificial Neural Network, and Support Vector Machine Algorithms
Viet‐Ha Nhu, Ataollah Shirzadi, Himan Shahabi, et al.
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 8, pp. 2749-2749
Open Access | Times Cited: 223
GIS Based Hybrid Computational Approaches for Flash Flood Susceptibility Assessment
Binh Thai Pham, Mohammadtaghi Avand, Saeid Janizadeh, et al.
Water (2020) Vol. 12, Iss. 3, pp. 683-683
Open Access | Times Cited: 207
GIS-based multi-criteria analysis for identification of potential groundwater recharge zones - a case study from Ponnaniyaru watershed, Tamil Nadu, India
Devanantham Abijith, Subbarayan Saravanan, Leelambar Singh, et al.
HydroResearch (2020) Vol. 3, pp. 1-14
Open Access | Times Cited: 173
Modeling of machine learning with SHAP approach for electric vehicle charging station choice behavior prediction
Irfan Ullah, Kai Liu, Toshiyuki Yamamoto, et al.
Travel Behaviour and Society (2022) Vol. 31, pp. 78-92
Closed Access | Times Cited: 78
Groundwater potential zone mapping using GIS and Remote Sensing based models for sustainable groundwater management
Abdur Rehman, Fakhrul Islam, Aqil Tariq, et al.
Geocarto International (2024) Vol. 39, Iss. 1
Open Access | Times Cited: 22
Novel hybrid intelligence models for flood-susceptibility prediction: Meta optimization of the GMDH and SVR models with the genetic algorithm and harmony search
Esmaeel Dodangeh, Mahdi Panahi, Fatemeh Rezaie, et al.
Journal of Hydrology (2020) Vol. 590, pp. 125423-125423
Closed Access | Times Cited: 137
Groundwater Potential Mapping Combining Artificial Neural Network and Real AdaBoost Ensemble Technique: The DakNong Province Case-study, Vietnam
Phong Tung Nguyen, Duong Hai Ha, Abolfazl Jaafari, et al.
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 7, pp. 2473-2473
Open Access | Times Cited: 125
Landslide Susceptibility Mapping Using Machine Learning Algorithms and Remote Sensing Data in a Tropical Environment
Viet‐Ha Nhu, Ayub Mohammadi, Himan Shahabi, et al.
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 14, pp. 4933-4933
Open Access | Times Cited: 121
Evaluating the usage of tree-based ensemble methods in groundwater spring potential mapping
Wei Chen, Xia Zhao, Paraskevas Tsangaratos, et al.
Journal of Hydrology (2020) Vol. 583, pp. 124602-124602
Closed Access | Times Cited: 117
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
GIS-Based Gully Erosion Susceptibility Mapping: A Comparison of Computational Ensemble Data Mining Models
Viet‐Ha Nhu, Saeid Janizadeh, Mohammadtaghi Avand, et al.
Applied Sciences (2020) Vol. 10, Iss. 6, pp. 2039-2039
Open Access | Times Cited: 98
Modeling groundwater potential using novel GIS-based machine-learning ensemble techniques
Alireza Arabameri, Subodh Chandra Pal, Fatemeh Rezaie, et al.
Journal of Hydrology Regional Studies (2021) Vol. 36, pp. 100848-100848
Open Access | Times Cited: 97
A groundwater potential zone mapping approach for semi-arid environments using remote sensing (RS), geographic information system (GIS), and analytical hierarchical process (AHP) techniques: a case study of Buffalo catchment, Eastern Cape, South Africa
Solomon Temidayo Owolabi, Kakaba Madi, Ahmed Mukalazi Kalumba, et al.
Arabian Journal of Geosciences (2020) Vol. 13, Iss. 22
Open Access | Times Cited: 96
A Hybrid Intelligence Approach to Enhance the Prediction Accuracy of Local Scour Depth at Complex Bridge Piers
Dieu Tien Bui, Ataollah Shirzadi, Ata Amini, et al.
Sustainability (2020) Vol. 12, Iss. 3, pp. 1063-1063
Open Access | Times Cited: 95
Torrential rainfall-induced landslide susceptibility assessment using machine learning and statistical methods of eastern Himalaya
Indrajit Chowdhuri, Subodh Chandra Pal, Rabin Chakrabortty, et al.
Natural Hazards (2021) Vol. 107, Iss. 1, pp. 697-722
Closed Access | Times Cited: 81
Landslide Detection and Susceptibility Modeling on Cameron Highlands (Malaysia): A Comparison between Random Forest, Logistic Regression and Logistic Model Tree Algorithms
Viet‐Ha Nhu, Ayub Mohammadi, Himan Shahabi, et al.
Forests (2020) Vol. 11, Iss. 8, pp. 830-830
Open Access | Times Cited: 78
Mapping of Groundwater Spring Potential in Karst Aquifer System Using Novel Ensemble Bivariate and Multivariate Models
Viet‐Ha Nhu, Omid Rahmati, Fatemeh Falah, et al.
Water (2020) Vol. 12, Iss. 4, pp. 985-985
Open Access | Times Cited: 71
Comparison of Support Vector Machine, Bayesian Logistic Regression, and Alternating Decision Tree Algorithms for Shallow Landslide Susceptibility Mapping along a Mountainous Road in the West of Iran
Viet‐Ha Nhu, Danesh Zandi, Himan Shahabi, et al.
Applied Sciences (2020) Vol. 10, Iss. 15, pp. 5047-5047
Open Access | Times Cited: 71
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
Convolutional neural network and long short-term memory algorithms for groundwater potential mapping in Anseong, South Korea
Wahyu Luqmanul Hakim, Arip Syaripudin Nur, Fatemeh Rezaie, et al.
Journal of Hydrology Regional Studies (2022) Vol. 39, pp. 100990-100990
Open Access | Times Cited: 43
Comparative analysis of GIS and RS based models for delineation of groundwater potential zone mapping
Fakhrul Islam, Aqil Tariq, Rufat Guluzade, et al.
Geomatics Natural Hazards and Risk (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 38
Using Artificial Intelligence to Identify Suitable Artificial Groundwater Recharge Areas for the Iranshahr Basin
Mojtaba Zaresefat, Reza Derakhshani, Vahid Nikpeyman, et al.
Water (2023) Vol. 15, Iss. 6, pp. 1182-1182
Open Access | Times Cited: 24
Integrated study of GIS and Remote Sensing to identify potential sites for rainwater harvesting structures
Xingsheng Du, Aqil Tariq, Fakhrul Islam, et al.
Physics and Chemistry of the Earth Parts A/B/C (2024) Vol. 134, pp. 103574-103574
Closed Access | Times Cited: 11
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