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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:

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

Showing 1-25 of 117 citing articles:

Ensemble machine learning paradigms in hydrology: A review
Mohammad Zounemat‐Kermani, Okke Batelaan, Marzieh Fadaee, et al.
Journal of Hydrology (2021) Vol. 598, pp. 126266-126266
Open Access | Times Cited: 440
GIS-based landslide susceptibility assessment using optimized hybrid machine learning methods
Xi Chen, Wei Chen
CATENA (2020) Vol. 196, pp. 104833-104833
Closed Access | Times Cited: 247
GIS-based evaluation of landslide susceptibility using hybrid computational intelligence models
Wei Chen, Yang Li
CATENA (2020) Vol. 195, pp. 104777-104777
Closed Access | Times Cited: 204
Landslide susceptibility modeling based on ANFIS with teaching-learning-based optimization and Satin bowerbird optimizer
Wei Chen, Xi Chen, Jianbing Peng, et al.
Geoscience Frontiers (2020) Vol. 12, Iss. 1, pp. 93-107
Open Access | Times Cited: 167
Soft Computing Ensemble Models Based on Logistic Regression for Groundwater Potential Mapping
Phong Tung Nguyen, Duong Hai Ha, Mohammadtaghi Avand, et al.
Applied Sciences (2020) Vol. 10, Iss. 7, pp. 2469-2469
Open Access | Times Cited: 155
Evaluation of different boosting ensemble machine learning models and novel deep learning and boosting framework for head-cut gully erosion susceptibility
Wei Chen, Xinxiang Lei, Rabin Chakrabortty, et al.
Journal of Environmental Management (2021) Vol. 284, pp. 112015-112015
Closed Access | Times Cited: 131
Groundwater level prediction using machine learning algorithms in a drought-prone area
Quoc Bao Pham, Manish Kumar, Fabio Di Nunno, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 13, pp. 10751-10773
Closed Access | Times Cited: 129
A hybrid deep learning algorithm and its application to streamflow prediction
Yongen Lin, Dagang Wang, Guiling Wang, et al.
Journal of Hydrology (2021) Vol. 601, pp. 126636-126636
Closed Access | Times Cited: 113
Uncertainty study of landslide susceptibility prediction considering the different attribute interval numbers of environmental factors and different data-based models
Faming Huang, Ye Zhou, Shui‐Hua Jiang, et al.
CATENA (2021) Vol. 202, pp. 105250-105250
Closed Access | Times Cited: 112
Improving groundwater quality predictions in semi-arid regions using ensemble learning models
Mojtaba Mahmoudi, Amin Mahdavi‐Meymand, Ammar Aldallal, et al.
Environmental Science and Pollution Research (2025)
Closed Access | Times Cited: 2
Optimization of Computational Intelligence Models for Landslide Susceptibility Evaluation
Xia Zhao, Wei Chen
Remote Sensing (2020) Vol. 12, Iss. 14, pp. 2180-2180
Open Access | Times Cited: 128
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
GIS-Based Machine Learning Algorithms for Gully Erosion Susceptibility Mapping in a Semi-Arid Region of Iran
Xinxiang Lei, Wei Chen, Mohammadtaghi Avand, et al.
Remote Sensing (2020) Vol. 12, Iss. 15, pp. 2478-2478
Open Access | Times Cited: 121
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
Evaluation efficiency of hybrid deep learning algorithms with neural network decision tree and boosting methods for predicting groundwater potential
Yunzhi Chen, Wei Chen, Subodh Chandra Pal, et al.
Geocarto International (2021) Vol. 37, Iss. 19, pp. 5564-5584
Closed Access | Times Cited: 97
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
Combining Evolutionary Algorithms and Machine Learning Models in Landslide Susceptibility Assessments
Wei Chen, Yunzhi Chen, Paraskevas Tsangaratos, et al.
Remote Sensing (2020) Vol. 12, Iss. 23, pp. 3854-3854
Open Access | Times Cited: 86
Flood susceptibility assessment using extreme gradient boosting (EGB), Iran
Sajjad Mirzaei, Mehdi Vafakhah, Biswajeet Pradhan, et al.
Earth Science Informatics (2020) Vol. 14, Iss. 1, pp. 51-67
Closed Access | Times Cited: 82
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
GIS-based comparative study of Bayes network, Hoeffding tree and logistic model tree for landslide susceptibility modeling
Wenwu Chen, Shuai Zhang
CATENA (2021) Vol. 203, pp. 105344-105344
Closed Access | Times Cited: 77
Hybrid Computational Intelligence Methods for Landslide Susceptibility Mapping
Guirong Wang, Xinxiang Lei, Wei Chen, et al.
Symmetry (2020) Vol. 12, Iss. 3, pp. 325-325
Open Access | Times Cited: 76
Prediction of gully erosion susceptibility mapping using novel ensemble machine learning algorithms
Alireza Arabameri, Subodh Chandra Pal, Romulus Costache, et al.
Geomatics Natural Hazards and Risk (2021) Vol. 12, Iss. 1, pp. 469-498
Open Access | Times Cited: 76
Improving GALDIT-based groundwater vulnerability predictive mapping using coupled resampling algorithms and machine learning models
Rahim Barzegar, Siamak Razzagh, John Quilty, et al.
Journal of Hydrology (2021) Vol. 598, pp. 126370-126370
Open Access | Times Cited: 75
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
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