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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:

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

Showing 1-25 of 112 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
A comprehensive method for improvement of water quality index (WQI) models for coastal water quality assessment
Md Galal Uddin, Stephen Nash, Azizur Rahman, et al.
Water Research (2022) Vol. 219, pp. 118532-118532
Open Access | Times Cited: 239
Integration of hydrogeological data, GIS and AHP techniques applied to delineate groundwater potential zones in sandstone, limestone and shales rocks of the Damoh district, (MP) central India
Kanak N. Moharir, Chaitanya B. Pande, Vinay Kumar Gautam, et al.
Environmental Research (2023) Vol. 228, pp. 115832-115832
Closed Access | Times Cited: 125
Assessing optimization techniques for improving water quality model
Md Galal Uddin, Stephen Nash, Azizur Rahman, et al.
Journal of Cleaner Production (2022) Vol. 385, pp. 135671-135671
Open Access | Times Cited: 96
A sophisticated model for rating water quality
Md Galal Uddin, Stephen Nash, Azizur Rahman, et al.
The Science of The Total Environment (2023) Vol. 868, pp. 161614-161614
Open Access | Times Cited: 73
Marine waters assessment using improved water quality model incorporating machine learning approaches
Md Galal Uddin, Azizur Rahman, Stephen Nash, et al.
Journal of Environmental Management (2023) Vol. 344, pp. 118368-118368
Open Access | Times Cited: 56
Vapor pressure deficit (VPD) downscaling based on multi-source remote sensing, in-situ observation, and machine learning in China
Mi Wang, Zhuowei Hu, Xiangping Liu, et al.
Journal of Hydrology Regional Studies (2025) Vol. 57, pp. 102192-102192
Closed Access | Times Cited: 3
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
Application of Advanced Machine Learning Algorithms to Assess Groundwater Potential Using Remote Sensing-Derived Data
Ehsan Kamali Maskooni, Seyed Amir Naghibi, Hossein Hashemi, et al.
Remote Sensing (2020) Vol. 12, Iss. 17, pp. 2742-2742
Open Access | Times Cited: 78
Prediction of Water Quality Classification of the Kelantan River Basin, Malaysia, Using Machine Learning Techniques
Nur Hanisah Abdul Malek, Wan Fairos Wan Yaacob, Syerina Azlin Md Nasir, et al.
Water (2022) Vol. 14, Iss. 7, pp. 1067-1067
Open Access | Times Cited: 70
What Do We Know about Water Scarcity in Semi-Arid Zones? A Global Analysis and Research Trends
Fernando Morante-Carballo, Néstor Montalván-Burbano, Ximena Quiñonez-Barzola, et al.
Water (2022) Vol. 14, Iss. 17, pp. 2685-2685
Open Access | Times Cited: 65
A Review on Interpretable and Explainable Artificial Intelligence in Hydroclimatic Applications
Hakan Başağaoğlu, Debaditya Chakraborty, Cesar Do Lago, et al.
Water (2022) Vol. 14, Iss. 8, pp. 1230-1230
Open Access | Times Cited: 58
Flood susceptibility modeling based on new hybrid intelligence model: Optimization of XGboost model using GA metaheuristic algorithm
Nguyễn Thị Thùy Linh, Manish Pandey, Saeid Janizadeh, et al.
Advances in Space Research (2022) Vol. 69, Iss. 9, pp. 3301-3318
Closed Access | Times Cited: 56
Hourly streamflow forecasting using a Bayesian additive regression tree model hybridized with a genetic algorithm
Duc Hai Nguyen, Xuan-Hien Le, Duong Tran Anh, et al.
Journal of Hydrology (2022) Vol. 606, pp. 127445-127445
Closed Access | Times Cited: 49
Advancing flood warning procedures in ungauged basins with machine learning
Zimeena Rasheed, Akshay Aravamudan, Ali Gorji Sefidmazgi, et al.
Journal of Hydrology (2022) Vol. 609, pp. 127736-127736
Open Access | Times Cited: 49
Machine learning and GIS-RS-based algorithms for mapping the groundwater potentiality in the Bundelkhand region, India
Mukesh Kumar, Pitam Singh, Priyamvada Singh
Ecological Informatics (2023) Vol. 74, pp. 101980-101980
Closed Access | Times Cited: 41
Data‐Driven Estimation of Groundwater Level Time‐Series at Unmonitored Sites Using Comparative Regional Analysis
Ezra Haaf, Markus Giese, Thomas Reimann, et al.
Water Resources Research (2023) Vol. 59, Iss. 7
Open Access | Times Cited: 24
An innovative approach for predicting groundwater TDS using optimized ensemble machine learning algorithms at two levels of modeling strategy
Hussam Eldin Elzain, Osman Abdalla, Hamdi Abdurhman Ahmed, et al.
Journal of Environmental Management (2024) Vol. 351, pp. 119896-119896
Closed Access | Times Cited: 13
Assessment of Groundwater Potential Zones by Integrating Hydrogeological Data, Geographic Information Systems, Remote Sensing, and Analytical Hierarchical Process Techniques in the Jinan Karst Spring Basin of China
Portia Annabelle Opoku, Longcang Shu, George Kwame Amoako-Nimako
Water (2024) Vol. 16, Iss. 4, pp. 566-566
Open Access | Times Cited: 11
Forecasting Future Groundwater Recharge from Rainfall Under Different Climate Change Scenarios Using Comparative Analysis of Deep Learning and Ensemble Learning Techniques
Dolon Banerjee, Sayantan Ganguly, Shashwat Kushwaha
Water Resources Management (2024) Vol. 38, Iss. 11, pp. 4019-4037
Closed Access | Times Cited: 11
Enhancing groundwater quality assessment in coastal area: A hybrid modeling approach
Md Galal Uddin, M. M. Shah Porun Rana, Mir Talas Mahammad Diganta, et al.
Heliyon (2024) Vol. 10, Iss. 13, pp. e33082-e33082
Open Access | Times Cited: 10
Satellite-enabled enviromics to enhance crop improvement
Rafael T Resende, Lee T. Hickey, Cibele Hummel do Amaral, et al.
Molecular Plant (2024) Vol. 17, Iss. 6, pp. 848-866
Open Access | Times Cited: 9
Proposing receiver operating characteristic-based sensitivity analysis with introducing swarm optimized ensemble learning algorithms for groundwater potentiality modelling in Asir region, Saudi Arabia
Javed Mallick, Swapan Talukdar, Majed Alsubih, et al.
Geocarto International (2021) Vol. 37, Iss. 15, pp. 4361-4389
Closed Access | Times Cited: 44
Integrated assessment of groundwater potential zone under agricultural dominated areas in the western part of Dakshin Dinajpur district, West Bengal, India
Swarnali Barua, Bhabani Prasad Mukhopadhyay, Amit Bera
Arabian Journal of Geosciences (2021) Vol. 14, Iss. 11
Closed Access | Times Cited: 43
Understanding the suitability of two MCDM techniques in mapping the groundwater potential zones of semi-arid Bankura District in eastern India
Tarun Goswami, Somnath Ghosal
Groundwater for Sustainable Development (2022) Vol. 17, pp. 100727-100727
Closed Access | Times Cited: 34
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