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 quality modeling and determining critical points: a comparison of machine learning to Best–Worst Method
Ali Nasiri Khiavi, Raoof Mostafazadeh, Maryam Adhami
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 54, pp. 115758-115775
Closed Access | Times Cited: 8
Ali Nasiri Khiavi, Raoof Mostafazadeh, Maryam Adhami
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 54, pp. 115758-115775
Closed Access | Times Cited: 8
Showing 8 citing articles:
Integration of Watershed eco-physical health through Algorithmic game theory and supervised machine learning
Ali Nasiri Khiavi, Mohammad Tavoosi, Hamid Khodamoradi, et al.
Groundwater for Sustainable Development (2024) Vol. 26, pp. 101216-101216
Open Access | Times Cited: 3
Ali Nasiri Khiavi, Mohammad Tavoosi, Hamid Khodamoradi, et al.
Groundwater for Sustainable Development (2024) Vol. 26, pp. 101216-101216
Open Access | Times Cited: 3
Groundwater quality assessment using machine learning models: a comprehensive study on the industrial corridor of a semi-arid region
Loganathan Krishnamoorthy, V. Lakshmanan
Environmental Science and Pollution Research (2024)
Closed Access | Times Cited: 3
Loganathan Krishnamoorthy, V. Lakshmanan
Environmental Science and Pollution Research (2024)
Closed Access | Times Cited: 3
Machine learning modeling of base flow generation potential: A case study of the combined application of BWM and Fallback bargaining algorithm
Ali Nasiri Khiavi
Journal of Hydrology (2024) Vol. 636, pp. 131220-131220
Closed Access | Times Cited: 2
Ali Nasiri Khiavi
Journal of Hydrology (2024) Vol. 636, pp. 131220-131220
Closed Access | Times Cited: 2
Conjunct applicability of MCDM-based machine learning algorithms in mapping the sediment formation potential
Ali Nasiri Khiavi, Mohammad Tavoosi, Faezeh Kamari Yekdangi, et al.
Environment Development and Sustainability (2024)
Open Access | Times Cited: 2
Ali Nasiri Khiavi, Mohammad Tavoosi, Faezeh Kamari Yekdangi, et al.
Environment Development and Sustainability (2024)
Open Access | Times Cited: 2
Changes in the characteristics of water quality parameters under the influence of dam construction
Raoof Mostafazadeh, Ali Nasiri Khiavi
Environment Development and Sustainability (2024)
Closed Access | Times Cited: 1
Raoof Mostafazadeh, Ali Nasiri Khiavi
Environment Development and Sustainability (2024)
Closed Access | Times Cited: 1
Evaluation of Groundwater Quality Through Identification of Potential Contaminant
K Sundarayamini, Vidhya Lakshmi Sivakumar, Balamurugan Panneerselvam
Civil And Environmental Engineering Reports (2024) Vol. 34, Iss. 4, pp. 185-206
Open Access
K Sundarayamini, Vidhya Lakshmi Sivakumar, Balamurugan Panneerselvam
Civil And Environmental Engineering Reports (2024) Vol. 34, Iss. 4, pp. 185-206
Open Access
Utilizing InVEST ecosystem services model combined with deep learning and fallback bargaining for effective sediment retention in Northern Iran
Ali Nasiri Khiavi, Hamid Khodamoradi, Fatemeh Sarouneh
Environmental Science and Pollution Research (2024)
Closed Access
Ali Nasiri Khiavi, Hamid Khodamoradi, Fatemeh Sarouneh
Environmental Science and Pollution Research (2024)
Closed Access
Using algorithmic game theory to improve supervised machine learning: A novel applicability approach in flood susceptibility mapping
Ali Nasiri Khiavi, Mehdi Vafakhah
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 40, pp. 52740-52757
Closed Access
Ali Nasiri Khiavi, Mehdi Vafakhah
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 40, pp. 52740-52757
Closed Access
