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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:

Groundwater spring potential mapping using population-based evolutionary algorithms and data mining methods
Wei Chen, Paraskevas Tsangaratos, Ioanna Ilia, et al.
The Science of The Total Environment (2019) Vol. 684, pp. 31-49
Closed Access | Times Cited: 122

Showing 1-25 of 122 citing articles:

Modeling flood susceptibility using data-driven approaches of naïve Bayes tree, alternating decision tree, and random forest methods
Wei Chen, Yang Li, Weifeng Xue, et al.
The Science of The Total Environment (2019) Vol. 701, pp. 134979-134979
Closed Access | Times Cited: 390
Soil salinization management for sustainable development: A review
Ajay Singh
Journal of Environmental Management (2020) Vol. 277, pp. 111383-111383
Closed Access | Times Cited: 354
Spatial prediction of groundwater potential mapping based on convolutional neural network (CNN) and support vector regression (SVR)
Mahdi Panahi, Nitheshnirmal Sãdhasivam, Hamid Reza Pourghasemi, et al.
Journal of Hydrology (2020) Vol. 588, pp. 125033-125033
Closed Access | Times Cited: 290
Flood susceptibility modelling using novel hybrid approach of reduced-error pruning trees with bagging and random subspace ensembles
Wei Chen, Haoyuan Hong, Shaojun Li, et al.
Journal of Hydrology (2019) Vol. 575, pp. 864-873
Closed Access | Times Cited: 268
Flood susceptibility mapping in Dingnan County (China) using adaptive neuro-fuzzy inference system with biogeography based optimization and imperialistic competitive algorithm
Yi Wang, Haoyuan Hong, Wei Chen, et al.
Journal of Environmental Management (2019) Vol. 247, pp. 712-729
Closed Access | Times Cited: 222
Machine learning in geo- and environmental sciences: From small to large scale
Pejman Tahmasebi, Serveh Kamrava, Tao Bai, et al.
Advances in Water Resources (2020) Vol. 142, pp. 103619-103619
Closed Access | Times Cited: 222
Spring water quality and discharge assessment in the Basantar watershed of Jammu Himalaya using geographic information system (GIS) and water quality Index(WQI)
Ajay Kumar Taloor, Rayees Ahmad Pir, Narsimha Adimalla, et al.
Groundwater for Sustainable Development (2020) Vol. 10, pp. 100364-100364
Open Access | Times Cited: 171
Spatial Prediction of Landslide Susceptibility Using GIS-Based Data Mining Techniques of ANFIS with Whale Optimization Algorithm (WOA) and Grey Wolf Optimizer (GWO)
Wei Chen, Haoyuan Hong, Mahdi Panahi, et al.
Applied Sciences (2019) Vol. 9, Iss. 18, pp. 3755-3755
Open Access | Times Cited: 154
Machine learning for hydrologic sciences: An introductory overview
Tianfang Xu, Feng Liang
Wiley Interdisciplinary Reviews Water (2021) Vol. 8, Iss. 5
Closed Access | Times Cited: 152
Fuzzy-metaheuristic ensembles for spatial assessment of forest fire susceptibility
Hossein Moayedi, Mohammad Mehrabi, Dieu Tien Bui, et al.
Journal of Environmental Management (2020) Vol. 260, pp. 109867-109867
Closed Access | Times Cited: 141
Hydrogeochemical Evaluation of Groundwater Aquifers and Associated Health Hazard Risk Mapping Using Ensemble Data Driven Model in a Water Scares Plateau Region of Eastern India
Dipankar Ruidas, Subodh Chandra Pal, Abu Reza Md. Towfiqul Islam, et al.
Exposure and Health (2022) Vol. 15, Iss. 1, pp. 113-131
Closed Access | Times Cited: 87
Prediction modelling framework comparative analysis of dissolved oxygen concentration variations using support vector regression coupled with multiple feature engineering and optimization methods: A case study in China
Xizhi Nong, Laifei Cheng, Lihua Chen, et al.
Ecological Indicators (2023) Vol. 146, pp. 109845-109845
Open Access | Times Cited: 61
GIS-based machine learning algorithm for flood susceptibility analysis in the Pagla river basin, Eastern India
Nur Islam Saikh, Prolay Mondal
Natural Hazards Research (2023) Vol. 3, Iss. 3, pp. 420-436
Open Access | Times Cited: 47
Coupling RBF neural network with ensemble learning techniques for landslide susceptibility mapping
Binh Thai Pham, T. Nguyen‐Thoi, Chongchong Qi, et al.
CATENA (2020) Vol. 195, pp. 104805-104805
Closed Access | Times Cited: 136
A Novel Swarm Intelligence—Harris Hawks Optimization for Spatial Assessment of Landslide Susceptibility
Dieu Tien Bui, Hossein Moayedi, Bahareh Kalantar, et al.
Sensors (2019) Vol. 19, Iss. 16, pp. 3590-3590
Open Access | Times Cited: 134
Hybrid computational intelligence models for groundwater potential mapping
Binh Thai Pham, Abolfazl Jaafari, Indra Prakash, et al.
CATENA (2019) Vol. 182, pp. 104101-104101
Closed Access | Times Cited: 130
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
The effect of sample size on different machine learning models for groundwater potential mapping in mountain bedrock aquifers
Davoud Davoudi Moghaddam, Omid Rahmati, Mahdi Panahi, et al.
CATENA (2019) Vol. 187, pp. 104421-104421
Open Access | Times Cited: 119
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
Application of extreme gradient boosting and parallel random forest algorithms for assessing groundwater spring potential using DEM-derived factors
Seyed Amir Naghibi, Hossein Hashemi, Ronny Berndtsson, et al.
Journal of Hydrology (2020) Vol. 589, pp. 125197-125197
Closed Access | Times Cited: 112
Groundwater Spring Potential Mapping Using Artificial Intelligence Approach Based on Kernel Logistic Regression, Random Forest, and Alternating Decision Tree Models
Wei Chen, Yang Li, Paraskevas Tsangaratos, et al.
Applied Sciences (2020) Vol. 10, Iss. 2, pp. 425-425
Open Access | Times Cited: 104
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 tree-based intelligence ensemble approach for spatial prediction of potential groundwater
Mohammadtaghi Avand, Saeid Janizadeh, Dieu Tien Bui, et al.
International Journal of Digital Earth (2020) Vol. 13, Iss. 12, pp. 1408-1429
Closed Access | Times Cited: 94
Landslide Susceptibility Evaluation Using Hybrid Integration of Evidential Belief Function and Machine Learning Techniques
Yang Li, Wei Chen
Water (2019) Vol. 12, Iss. 1, pp. 113-113
Open Access | Times Cited: 92
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