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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:

Forecasting groundwater anomaly in the future using satellite information and machine learning
Keyvan Soltani, Arash Azari
Journal of Hydrology (2022) Vol. 612, pp. 128052-128052
Closed Access | Times Cited: 19

Showing 19 citing articles:

A novel machine learning tool for current and future flood susceptibility mapping by integrating remote sensing and geographic information systems
Afshin Amiri, Keyvan Soltani, Isa Ebtehaj, et al.
Journal of Hydrology (2024) Vol. 632, pp. 130936-130936
Closed Access | Times Cited: 27
Prediction of groundwater level fluctuations using artificial intelligence-based models and GMS
Khabat Star Mohammed, Saeid Shabanlou, Ahmad Rajabi, et al.
Applied Water Science (2022) Vol. 13, Iss. 2
Open Access | Times Cited: 49
Model‐coupled GRACE‐based analysis of hydrological dynamics of drying Lake Urmia and its basin
Behnam Khorrami, Shoaib Ali, Onur Güngör Şahin, et al.
Hydrological Processes (2023) Vol. 37, Iss. 5
Open Access | Times Cited: 23
Prediction of groundwater level variations using deep learning methods and GMS numerical model
Siamak Amiri, Ahmad Rajabi, Saeid Shabanlou, et al.
Earth Science Informatics (2023) Vol. 16, Iss. 4, pp. 3227-3241
Closed Access | Times Cited: 21
Application of the machine learning methods for GRACE data based groundwater modeling, a systematic review
Vahid Nourani, Nardin Jabbarian Paknezhad, A. W. M Ng, et al.
Groundwater for Sustainable Development (2024) Vol. 25, pp. 101113-101113
Closed Access | Times Cited: 8
Optimization of Integrated Operation of Surface and Groundwater Resources using Multi-Objective Grey Wolf Optimizer (MOGWO) Algorithm
Ali Torabi, Fariborz Yosefvand, Saeid Shabanlou, et al.
Water Resources Management (2024) Vol. 38, Iss. 6, pp. 2079-2099
Closed Access | Times Cited: 8
Analysis of Groundwater Storage Changes and Influencing Factors in China Based on GRACE Data
Chunxiu Shao, Yonghe Liu
Atmosphere (2023) Vol. 14, Iss. 2, pp. 250-250
Open Access | Times Cited: 17
Harnessing Machine Learning for Assessing Climate Change Influences on Groundwater Resources: A Comprehensive Review
Apoorva Bamal, Md Galal Uddin, Agnieszka I. Olbert
Heliyon (2024) Vol. 10, Iss. 17, pp. e37073-e37073
Open Access | Times Cited: 5
Climate Extreme Indices Influencing GRACE Total Water Storage (TWS) in Semi-Arid Africa
Komi Mawulom Claude Afamondji, Ismail Mohsine, Nourelhouda Karmouda, et al.
Journal of Arid Environments (2025) Vol. 229, pp. 105357-105357
Open Access
New Method to Identify Potential Illegal Water Use Location by Using Remote Sensing and Neural Networks in Laguna de Aculeo, Chile
Héctor L. Venegas-Quiñones, Pablo A. Garcia‐Chevesich, Rodrigo Marcelo Valdes
(2024)
Open Access | Times Cited: 3
A novel committee-based framework for modeling groundwater level fluctuations: A combination of mathematical and machine learning models using the weighted multi-model ensemble mean algorithm
Adnan Mazraeh, Meysam Bagherifar, Saeid Shabanlou, et al.
Groundwater for Sustainable Development (2023) Vol. 24, pp. 101062-101062
Closed Access | Times Cited: 7
Enhancing spatial streamflow prediction through machine learning algorithms and advanced strategies
Sedigheh Darabi Cheghabaleki, Seyed Ehsan Fatemi, Maryam Hafezparast Mavaddat
Applied Water Science (2024) Vol. 14, Iss. 6
Open Access | Times Cited: 2
Advanced Forecasting of Drought Zones in Canada Using Deep Learning and CMIP6 Projections
Keyvan Soltani, Afshin Amiri, Isa Ebtehaj, et al.
Climate (2024) Vol. 12, Iss. 8, pp. 119-119
Open Access | Times Cited: 2
Terrestrial water storage anomaly estimating using machine learning techniques and satellite‐based data (a case study of Lake Urmia Basin)
Keyvan Soltani, Arash Azari
Irrigation and Drainage (2023) Vol. 73, Iss. 1, pp. 215-229
Closed Access | Times Cited: 6
Application of classical and novel integrated machine learning models to predict sediment discharge during free-flow flushing
Fahime Javadi, Kourosh Qaderi, Mohammad Mehdi Ahmadi, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 6
Development of New Fuzzy Multi-Objective Optimization Algorithm (F-Moica3d) for Quantitative-Qualitative Sustainable Operation of Water Resources Based on 3d Response Space
Arash Azari, Sadaf Mavali
(2024)
Closed Access
Optimal operation of the dam reservoir in real time based on generalized structure of group method of data handling and optimization technique
Sedighe Mansouri, Hossein Fathian, Alireza Nikbakht Shahbazi, et al.
Applied Water Science (2024) Vol. 14, Iss. 5
Open Access
Harnessing Machine Learning for Assessing Climate Change Influences on Groundwater Resources: A Comprehensive Review
Apoorva Bamal, Md Galal Uddin, Agnieszka I. Olbert
(2024)
Closed Access
Multi-objective simulation–optimization for water resources management and uses in multi-dam systems in low-water regions
Moslem Najafi, Mohsen Najarchi, Seyed Mohammad Mirhosseini
Applied Water Science (2024) Vol. 14, Iss. 11
Open Access
Development of a coupled surface water–groundwater model for the spatiotemporal simulation of river–aquifer interactions
Abbas Rasool Al‐Suraifi, Reza Shirinabadi, Hamidreza Rabiefar, et al.
Irrigation and Drainage (2024)
Closed Access
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