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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 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

Showing 26-50 of 94 citing articles:

Groundwater potential mapping in the Central Highlands of Vietnam using spatially explicit machine learning
Tran Xuan Bien, Abolfazl Jaafari, Tran Van Phong, et al.
Earth Science Informatics (2023) Vol. 16, Iss. 1, pp. 131-146
Closed Access | Times Cited: 18
A New Modeling Approach for Spatial Prediction of Flash Flood with Biogeography Optimized CHAID Tree Ensemble and Remote Sensing Data
Viet-Nghia Nguyen, Peyman Yariyan, Mahdis Amiri, et al.
Remote Sensing (2020) Vol. 12, Iss. 9, pp. 1373-1373
Open Access | Times Cited: 46
Spatio-Temporal Assessment of Groundwater Potential Zone in the Drought-Prone Area of Bangladesh Using GIS-Based Bivariate Models
Naser Ahmed, Muhammad Al-Amin Hoque, Biswajeet Pradhan, et al.
Natural Resources Research (2021) Vol. 30, Iss. 5, pp. 3315-3337
Closed Access | Times Cited: 41
Quadratic Discriminant Analysis Based Ensemble Machine Learning Models for Groundwater Potential Modeling and Mapping
Duong Hai Ha, Phong Tung Nguyen, Romulus Costache, et al.
Water Resources Management (2021) Vol. 35, Iss. 13, pp. 4415-4433
Closed Access | Times Cited: 33
Tomato disease and pest diagnosis method based on the Stacking of prescription data
Chang Xu, Junqi Ding, Yan Qiao, et al.
Computers and Electronics in Agriculture (2022) Vol. 197, pp. 106997-106997
Closed Access | Times Cited: 27
Mapping Prospective Areas of Water Resources and Monitoring Land Use/Land Cover Changes in an Arid Region Using Remote Sensing and GIS Techniques
Tong Sun, Wuqun Cheng, Mohamed Abdelkareem, et al.
Water (2022) Vol. 14, Iss. 15, pp. 2435-2435
Open Access | Times Cited: 27
Combining high resolution input and stacking ensemble machine learning algorithms for developing robust groundwater potentiality models in Bisha watershed, Saudi Arabia
Javed Mallick, Swapan Talukdar, Mohd. Ahmed
Applied Water Science (2022) Vol. 12, Iss. 4
Open Access | Times Cited: 26
Landslide susceptibility mapping using deep learning models in Ardabil province, Iran
Hossein Hamedi, Ali Asghar Alesheikh, Mahdi Panahi, et al.
Stochastic Environmental Research and Risk Assessment (2022) Vol. 36, Iss. 12, pp. 4287-4310
Closed Access | Times Cited: 23
A novel global solar exposure forecasting model based on air temperature: Designing a new multi-processing ensemble deep learning paradigm
Mehdi Jamei, Masoud Karbasi, Mumtaz Ali, et al.
Expert Systems with Applications (2023) Vol. 222, pp. 119811-119811
Closed Access | Times Cited: 15
Using Remote Sensing and GIS-Based Frequency Ratio Technique for Revealing Groundwater Prospective Areas at Wadi Al Hamdh Watershed, Saudi Arabia
Mohamed Abdekareem, Fathy Abdalla, Nassir Al‐Arifi, et al.
Water (2023) Vol. 15, Iss. 6, pp. 1154-1154
Open Access | Times Cited: 15
Mapping Groundwater Prospective Areas Using Remote Sensing and GIS-Based Data Driven Frequency Ratio Techniques and Detecting Land Cover Changes in the Yellow River Basin, China
Shuhang Li, Mohamed Abdelkareem, Nassir Al‐Arifi
Land (2023) Vol. 12, Iss. 4, pp. 771-771
Open Access | Times Cited: 14
Application of hybrid model-based machine learning for groundwater potential prediction in the north central of Vietnam
Huu Duy Nguyen, Van Hong Nguyen, Quan Vu Viet Du, et al.
Earth Science Informatics (2024) Vol. 17, Iss. 2, pp. 1569-1589
Closed Access | Times Cited: 6
A Comprehensive Review of Machine Learning Algorithms and Its Application in Groundwater Quality Prediction
Harsh Pandya, Khushi Jaiswal, Manan Shah
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 5
Locally weighted learning based hybrid intelligence models for groundwater potential mapping and modeling: A case study at Gia Lai province, Vietnam
Hoang Phan Hải Yen, Binh Thai Pham, Tran Van Phong, et al.
Geoscience Frontiers (2021) Vol. 12, Iss. 5, pp. 101154-101154
Open Access | Times Cited: 31
Predicting Bulk Average Velocity with Rigid Vegetation in Open Channels Using Tree-Based Machine Learning: A Novel Approach Using Explainable Artificial Intelligence
D.P.P. Meddage, I.U. Ekanayake, Sumudu Herath, et al.
Sensors (2022) Vol. 22, Iss. 12, pp. 4398-4398
Open Access | Times Cited: 21
Evaluating different machine learning algorithms for snow water equivalent prediction
Mehdi Vafakhah, Ali Nasiri Khiavi, Saeid Janizadeh, et al.
Earth Science Informatics (2022) Vol. 15, Iss. 4, pp. 2431-2445
Closed Access | Times Cited: 21
Determination and assessment of the groundwater table and mineralization in irrigated areas (Xojeli district, Republic of Karakalpakstan)
Rashid Kulmatov, Atabek Alimov, Christian Opp
BIO Web of Conferences (2024) Vol. 93, pp. 04014-04014
Open Access | Times Cited: 4
Assessing Groundwater Potential Zones and Their Implications for Landslides in the Upper Wabe‐Shebele River Basin of Southeastern Ethiopia
Siraj Beshir, Awdenegest Moges, Mihret Dananto
Journal of Engineering (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 4
Assessment of Ensemble Models for Groundwater Potential Modeling and Prediction in a Karst Watershed
Mohsen Farzin, Mohammadtaghi Avand, Hassan Ahmadzadeh, et al.
Water (2021) Vol. 13, Iss. 18, pp. 2540-2540
Open Access | Times Cited: 27
Machine Learning and Remote Sensing Application for Extreme Climate Evaluation: Example of Flood Susceptibility in the Hue Province, Central Vietnam Region
Minh Cường Hà, Phuong Vu, Huu Du Nguyen, et al.
Water (2022) Vol. 14, Iss. 10, pp. 1617-1617
Open Access | Times Cited: 19
Mapping Landslide Sensitivity Based on Machine Learning: A Case Study in Ankang City, Shaanxi Province, China
Baoxin Zhao, Jingzhong Zhu, Youbiao Hu, et al.
Geofluids (2022) Vol. 2022, pp. 1-32
Open Access | Times Cited: 17
Spatial modeling of geogenic indoor radon distribution in Chungcheongnam-do, South Korea using enhanced machine learning algorithms
Fatemeh Rezaie, Mahdi Panahi, Sayed M. Bateni, et al.
Environment International (2022) Vol. 171, pp. 107724-107724
Open Access | Times Cited: 17
Data-Driven Landslide Spatial Prediction and Deformation Monitoring: A Case Study of Shiyan City, China
Yifan Sheng, Guangli Xu, Bijing Jin, et al.
Remote Sensing (2023) Vol. 15, Iss. 21, pp. 5256-5256
Open Access | Times Cited: 11
Assessment of urban solid waste management in a Class II Indian city using geospatial and statistical approaches: A case study of Rampurhat municipality
Sharmistha Mondal, Bhaskar Mandal
Waste Management Bulletin (2023) Vol. 1, Iss. 4, pp. 74-92
Open Access | Times Cited: 10
The use of radar-optical remote sensing data and geographic information system–analytical hierarchy process–multicriteria decision analysis techniques for revealing groundwater recharge prospective zones in arid-semi arid lands
Yuxia Wang, Yuhui Han, Yue Guo, et al.
Open Geosciences (2025) Vol. 17, Iss. 1
Open Access

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