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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 New Methodology for Reference Evapotranspiration Prediction and Uncertainty Analysis under Climate Change Conditions Based on Machine Learning, Multi Criteria Decision Making and Monte Carlo Methods
Mojtaba Kadkhodazadeh, Mahdi Valikhan Anaraki, Amirreza Morshed-Bozorgdel, et al.
Sustainability (2022) Vol. 14, Iss. 5, pp. 2601-2601
Open Access | Times Cited: 61

Showing 1-25 of 61 citing articles:

Future trends of reference evapotranspiration in Sicily based on CORDEX data and Machine Learning algorithms
Fabio Di Nunno, Francesco Granata
Agricultural Water Management (2023) Vol. 280, pp. 108232-108232
Open Access | Times Cited: 44
Enhancing Real-Time Prediction of Effluent Water Quality of Wastewater Treatment Plant Based on Improved Feedforward Neural Network Coupled with Optimization Algorithm
Yifan Xie, Yongqi Chen, Qing Lian, et al.
Water (2022) Vol. 14, Iss. 7, pp. 1053-1053
Open Access | Times Cited: 46
A Hybrid Spatiotemporal Deep Model Based on CNN and LSTM for Air Pollution Prediction
Stefan Tsokov, Milena Lazarova, Adelina Aleksieva-Petrova
Sustainability (2022) Vol. 14, Iss. 9, pp. 5104-5104
Open Access | Times Cited: 42
A review of the Artificial Intelligence (AI) based techniques for estimating reference evapotranspiration: Current trends and future perspectives
Pooja Goyal, Sunil Kumar, Rakesh Sharda
Computers and Electronics in Agriculture (2023) Vol. 209, pp. 107836-107836
Closed Access | Times Cited: 35
A research landscape bibliometric analysis on climate change for last decades: Evidence from applications of machine learning
Samuel-Soma M. Ajibade, Abdelhamid Zaïdi, Festus Vıctor Bekun, et al.
Heliyon (2023) Vol. 9, Iss. 10, pp. e20297-e20297
Open Access | Times Cited: 22
Prediction of groundwater table and drought analysis; a new hybridization strategy based on bi-directional long short-term model and the Harris hawk optimization algorithm
Saeed Farzin, Mahdi Valikhan Anaraki, Maryam Naeimi, et al.
Journal of Water and Climate Change (2022) Vol. 13, Iss. 5, pp. 2233-2254
Open Access | Times Cited: 30
Design data decomposition-based reference evapotranspiration forecasting model: A soft feature filter based deep learning driven approach
Zihao Zheng, Mumtaz Ali, Mehdi Jamei, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 121, pp. 105984-105984
Closed Access | Times Cited: 19
Spatio-temporal distribution and prediction of agricultural and meteorological drought in a Mediterranean coastal watershed via GIS and machine learning
Siham Acharki, Sudhir Kumar Singh, Edivando Vítor do Couto, et al.
Physics and Chemistry of the Earth Parts A/B/C (2023) Vol. 131, pp. 103425-103425
Closed Access | Times Cited: 18
Comparison of machine learning techniques and spatial distribution of daily reference evapotranspiration in Türkiye
Demet Kıran Yıldırım, Erdem Küçüktopçu, Bilal Cemek, et al.
Applied Water Science (2023) Vol. 13, Iss. 4
Open Access | Times Cited: 16
Soft Computing Paradigm for Climate Change Adaptation and Mitigation in Iran, Pakistan, and Turkey: A Systematic Review
Muhammad Talha, A. Pouyan Nejadhashemi, Kieron Moller
Heliyon (2025) Vol. 11, Iss. 2, pp. e41974-e41974
Open Access
From current to future approaches in the irrigation scheduling of open field vegetable crops
Samantha Rubo, Jana Zinkernagel
Acta Horticulturae (2025), Iss. 1416, pp. 575-584
Closed Access
Machine Learning Approaches for Predicting Reference Evapotranspiration: A Comparative Study Using Ground and Gridded Climate Data in Fes Region
Musa Mustapha, Mhamed Zineddine, Maha Gmira, et al.
World Water Policy (2025)
Closed Access
Artificial Intelligence in Hydrology: Advancements in Soil, Water Resource Management, and Sustainable Development
Seyed Mostafa Biazar, Golmar Golmohammadi, Rohit R. Nedhunuri, et al.
Sustainability (2025) Vol. 17, Iss. 5, pp. 2250-2250
Open Access
A Novel Framework Based on the Stacking Ensemble Machine Learning (SEML) Method: Application in Wind Speed Modeling
Amirreza Morshed-Bozorgdel, Mojtaba Kadkhodazadeh, Mahdi Valikhan Anaraki, et al.
Atmosphere (2022) Vol. 13, Iss. 5, pp. 758-758
Open Access | Times Cited: 24
Introducing a Novel Hybrid Machine Learning Model and Developing its Performance in Estimating Water Quality Parameters
Mojtaba Kadkhodazadeh, Saeed Farzin
Water Resources Management (2022) Vol. 36, Iss. 10, pp. 3901-3927
Closed Access | Times Cited: 22
Evaluation of historical CMIP6 model simulations and future climate change projections in the Baro River Basin
Bekele Terefe Gebisa, Wakjira Takala Dibaba, Alemayehu Kabeta
Journal of Water and Climate Change (2023) Vol. 14, Iss. 8, pp. 2680-2705
Open Access | Times Cited: 14
Prediction of groundwater level fluctuations under climate change based on machine learning algorithms in the Mashhad aquifer, Iran
Ghasem Panahi, Mahya Hassanzadeh Eskafi, Alireza Faridhosseini, et al.
Journal of Water and Climate Change (2023) Vol. 14, Iss. 3, pp. 1039-1059
Open Access | Times Cited: 12
A review of recent advances and future prospects in calculation of reference evapotranspiration in Bangladesh using soft computing models
Md Mahfuz Alam, Mst. Yeasmin Akter, Abu Reza Md. Towfiqul Islam, et al.
Journal of Environmental Management (2023) Vol. 351, pp. 119714-119714
Closed Access | Times Cited: 12
A combination approach for optimization operation of multi-objective cascade reservoir systems (Case study: Karun reservoirs)
Zahra khoramipoor, Saeed Farzin
Journal of Hydroinformatics (2024) Vol. 26, Iss. 6, pp. 1313-1332
Open Access | Times Cited: 4
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
Physics-Guided Long Short-Term Memory Network for Streamflow and Flood Simulations in the Lancang–Mekong River Basin
Binxiao Liu, Qiuhong Tang, Gang Zhao, et al.
Water (2022) Vol. 14, Iss. 9, pp. 1429-1429
Open Access | Times Cited: 18
Response of climate change and land use land cover change on catchment-scale water balance components: a multi-site calibration approach
Shashi Bhushan Kumar, Ashok Mishra, Sonam Sandeep Dash
Journal of Water and Climate Change (2024) Vol. 15, Iss. 4, pp. 1750-1771
Open Access | Times Cited: 3
Sensitivity of daily reference evapotranspiration to weather variables in tropical savanna: a modelling framework based on neural network
Sanjeev Gupta, Pravendra Kumar, Gottam Kishore, et al.
Applied Water Science (2024) Vol. 14, Iss. 6
Open Access | Times Cited: 3
Development of machine learning models for estimation of daily evaporation and mean temperature: a case study in New Delhi, India
Jitendra Rajput, Nand Lal Kushwaha, Aman Srivastava, et al.
Water Practice & Technology (2024) Vol. 19, Iss. 7, pp. 2655-2672
Open Access | Times Cited: 3
A Hybrid Prediction Framework for Water Quality with Integrated W-ARIMA-GRU and LightGBM Methods
Shenghan Zhou, Chaofei Song, Jingjing Zhang, et al.
Water (2022) Vol. 14, Iss. 9, pp. 1322-1322
Open Access | Times Cited: 17
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