
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:
Data-based groundwater quality estimation and uncertainty analysis for irrigation agriculture
Haijiao Yu, Xiaohu Wen, Min Wu, et al.
Agricultural Water Management (2021) Vol. 262, pp. 107423-107423
Closed Access | Times Cited: 21
Haijiao Yu, Xiaohu Wen, Min Wu, et al.
Agricultural Water Management (2021) Vol. 262, pp. 107423-107423
Closed Access | Times Cited: 21
Showing 21 citing articles:
Sustainable agricultural water management in the Yellow River Basin, China
Yitao Zhang, Pingguo Yang, Jian Liu, et al.
Agricultural Water Management (2023) Vol. 288, pp. 108473-108473
Open Access | Times Cited: 25
Yitao Zhang, Pingguo Yang, Jian Liu, et al.
Agricultural Water Management (2023) Vol. 288, pp. 108473-108473
Open Access | Times Cited: 25
A novel framework to assess apple leaf nitrogen content: Fusion of hyperspectral reflectance and phenology information through deep learning
Riqiang Chen, Wenping Liu, Hao Yang, et al.
Computers and Electronics in Agriculture (2024) Vol. 219, pp. 108816-108816
Closed Access | Times Cited: 12
Riqiang Chen, Wenping Liu, Hao Yang, et al.
Computers and Electronics in Agriculture (2024) Vol. 219, pp. 108816-108816
Closed Access | Times Cited: 12
Assessing the nonlinear relationship between consumer goods and water pollution in different seasons with machine learning models: A case study in the Yangtze River Economic Belt
Songhua Huan, Xiuli Liu
Journal of Cleaner Production (2024) Vol. 444, pp. 141254-141254
Closed Access | Times Cited: 10
Songhua Huan, Xiuli Liu
Journal of Cleaner Production (2024) Vol. 444, pp. 141254-141254
Closed Access | Times Cited: 10
Prediction of sulfate concentrations in groundwater in areas with complex hydrogeological conditions based on machine learning
Yushan Tian, Quanli Liu, Yao Ji, et al.
The Science of The Total Environment (2024) Vol. 923, pp. 171312-171312
Closed Access | Times Cited: 10
Yushan Tian, Quanli Liu, Yao Ji, et al.
The Science of The Total Environment (2024) Vol. 923, pp. 171312-171312
Closed Access | Times Cited: 10
Geochemical and isotopic studies of the Douda-Damerjogue aquifer (Republic of Djibouti): Origin of high nitrate and fluoride, spatial distribution, associated health risk assessment and prediction of water quality using machine learning
M.O. Awaleh, Tiziano Boschetti, Christelle Marlin, et al.
The Science of The Total Environment (2025) Vol. 967, pp. 178789-178789
Closed Access | Times Cited: 1
M.O. Awaleh, Tiziano Boschetti, Christelle Marlin, et al.
The Science of The Total Environment (2025) Vol. 967, pp. 178789-178789
Closed Access | Times Cited: 1
Estimation and uncertainty analysis of groundwater quality parameters in a coastal aquifer under seawater intrusion: a comparative study of deep learning and classic machine learning methods
Mehmet Taşan, Sevda Taşan, Yusuf Demir
Environmental Science and Pollution Research (2022) Vol. 30, Iss. 2, pp. 2866-2890
Closed Access | Times Cited: 26
Mehmet Taşan, Sevda Taşan, Yusuf Demir
Environmental Science and Pollution Research (2022) Vol. 30, Iss. 2, pp. 2866-2890
Closed Access | Times Cited: 26
Applications of Machine Learning in Agriculture
Padmesh Tripathi, Nitendra Kumar, Mritunjay Rai, et al.
Advances in electronic government, digital divide, and regional development book series (2023), pp. 99-118
Closed Access | Times Cited: 15
Padmesh Tripathi, Nitendra Kumar, Mritunjay Rai, et al.
Advances in electronic government, digital divide, and regional development book series (2023), pp. 99-118
Closed Access | Times Cited: 15
Application of GIS-based machine learning algorithms for prediction of irrigational groundwater quality indices
Musaab A. A. Mohammed, Fuat Kaya, Ahmed Mohamed, et al.
Frontiers in Earth Science (2023) Vol. 11
Open Access | Times Cited: 12
Musaab A. A. Mohammed, Fuat Kaya, Ahmed Mohamed, et al.
Frontiers in Earth Science (2023) Vol. 11
Open Access | Times Cited: 12
Wavelet-based de-noising in groundwater quality and quantity prediction by an artificial neural network
Farnaz Daneshvar Vousoughi
Water Science & Technology Water Supply (2023) Vol. 23, Iss. 3, pp. 1333-1348
Open Access | Times Cited: 11
Farnaz Daneshvar Vousoughi
Water Science & Technology Water Supply (2023) Vol. 23, Iss. 3, pp. 1333-1348
Open Access | Times Cited: 11
Hydrogeology and the Global Significance of Groundwater
Peiyue Li, Vetrimurugan Elumalai
Springer hydrogeology (2025), pp. 1-20
Closed Access
Peiyue Li, Vetrimurugan Elumalai
Springer hydrogeology (2025), pp. 1-20
Closed Access
Contrasting Roles of Solar-Induced Chlorophyll Fluorescence (Sif) in Mechanistic and Machine Learning Models for Simulating Eco-Hydrological Processes
Yunfei Wang, Aofan Cui, Qingting Zuo, et al.
(2025)
Closed Access
Yunfei Wang, Aofan Cui, Qingting Zuo, et al.
(2025)
Closed Access
Precision forecasting of fertilizer components’ concentrations in mixed variable-rate fertigation through machine learning
Menglong Wu, Jiajie Xiong, Ruoyu Li, et al.
Agricultural Water Management (2024) Vol. 298, pp. 108859-108859
Open Access | Times Cited: 3
Menglong Wu, Jiajie Xiong, Ruoyu Li, et al.
Agricultural Water Management (2024) Vol. 298, pp. 108859-108859
Open Access | Times Cited: 3
Quantifying uncertainty of marine water quality forecasts for environmental management using a dynamic multi-factor analysis and multi-resolution ensemble approach
Rui Yang, Hui Liu, Yanfei Li
Chemosphere (2023) Vol. 331, pp. 138831-138831
Closed Access | Times Cited: 8
Rui Yang, Hui Liu, Yanfei Li
Chemosphere (2023) Vol. 331, pp. 138831-138831
Closed Access | Times Cited: 8
A comprehensive review on artificial intelligence in water treatment for optimization. Clean water now and the future
Machodi Mathaba, JeanClaude Banza
Journal of Environmental Science and Health Part A (2023) Vol. 58, Iss. 14, pp. 1047-1060
Open Access | Times Cited: 7
Machodi Mathaba, JeanClaude Banza
Journal of Environmental Science and Health Part A (2023) Vol. 58, Iss. 14, pp. 1047-1060
Open Access | Times Cited: 7
Bio-inspired MXene membranes for enhanced separation and anti-fouling in oil-in-water emulsions: SHAP explainability ML
Nadeem Baig, Sani I. Abba, Jamil Usman, et al.
Cleaner Water (2024), pp. 100041-100041
Open Access | Times Cited: 2
Nadeem Baig, Sani I. Abba, Jamil Usman, et al.
Cleaner Water (2024), pp. 100041-100041
Open Access | Times Cited: 2
Simulated annealing coupled with a Naïve Bayes model and base flow separation for streamflow simulation in a snow dominated basin
Hakan Tongal, Martijn J. Booij
Stochastic Environmental Research and Risk Assessment (2022) Vol. 37, Iss. 1, pp. 89-112
Closed Access | Times Cited: 9
Hakan Tongal, Martijn J. Booij
Stochastic Environmental Research and Risk Assessment (2022) Vol. 37, Iss. 1, pp. 89-112
Closed Access | Times Cited: 9
Probabilistic Assessment of Groundwater Quality and Fluoride Exposure Risk for North-Eastern Rajasthan, India
Saha Dauji, Diksha Pant, Tirumalesh Keesari
Journal of Hazardous Toxic and Radioactive Waste (2023) Vol. 27, Iss. 4
Closed Access | Times Cited: 1
Saha Dauji, Diksha Pant, Tirumalesh Keesari
Journal of Hazardous Toxic and Radioactive Waste (2023) Vol. 27, Iss. 4
Closed Access | Times Cited: 1
Uncertainty analysis of simplified 1D and 2D shallow water equations via the Karhunen–Loéve expansion and Monte Carlo simulations
Seyed Hamed Malekhosseini, Hossein Khorshidi, Romuald Szymkiewicz
Stochastic Environmental Research and Risk Assessment (2023) Vol. 38, Iss. 3, pp. 1051-1070
Closed Access | Times Cited: 1
Seyed Hamed Malekhosseini, Hossein Khorshidi, Romuald Szymkiewicz
Stochastic Environmental Research and Risk Assessment (2023) Vol. 38, Iss. 3, pp. 1051-1070
Closed Access | Times Cited: 1
State-of-the art-on irrigation water quality management using data-driven methods: Practical application, limitations, and prospective directions
Ali El Bilali, Abdeslam Taleb
Physics and Chemistry of the Earth Parts A/B/C (2024) Vol. 136, pp. 103794-103794
Closed Access
Ali El Bilali, Abdeslam Taleb
Physics and Chemistry of the Earth Parts A/B/C (2024) Vol. 136, pp. 103794-103794
Closed Access
Recent advances in groundwater pollution research using machine learning from 2000 to 2023: a bibliometric analysis
Xuan Li, Guohua Liang, Bin He, et al.
Environmental Research (2024) Vol. 267, pp. 120683-120683
Closed Access
Xuan Li, Guohua Liang, Bin He, et al.
Environmental Research (2024) Vol. 267, pp. 120683-120683
Closed Access
Machine learning based approach for metaphoric investigation of ground water quality
Manish Kumar, Debabrata Swain, Zeel Raval, et al.
AIP conference proceedings (2023) Vol. 2981, pp. 020031-020031
Closed Access
Manish Kumar, Debabrata Swain, Zeel Raval, et al.
AIP conference proceedings (2023) Vol. 2981, pp. 020031-020031
Closed Access