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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:

Linear Regression Machine Learning Algorithms for Estimating Reference Evapotranspiration Using Limited Climate Data
Soo-Jin Kim, 승종 배, Min-Won Jang
Sustainability (2022) Vol. 14, Iss. 18, pp. 11674-11674
Open Access | Times Cited: 52

Showing 1-25 of 52 citing articles:

An artificial intelligence study on energy, exergy, and environmental aspects of upcycling face mask waste to a hydrogen-rich syngas through a thermal conversion process
Parisa Mojaver, Shahram Khalilarya
Process Safety and Environmental Protection (2024) Vol. 187, pp. 1189-1200
Closed Access | Times Cited: 18
Use of Machine Learning and Remote Sensing Techniques for Shoreline Monitoring: A Review of Recent Literature
Chrysovalantis-Antonios D. Tsiakos, Christos Chalkias
Applied Sciences (2023) Vol. 13, Iss. 5, pp. 3268-3268
Open Access | Times Cited: 39
Land surface dynamics and meteorological forcings modulate land surface temperature characteristics
Oluwafemi E. Adeyeri, Akinleye Folorunsho, Kayode I. Ayegbusi, et al.
Sustainable Cities and Society (2023) Vol. 101, pp. 105072-105072
Open Access | Times Cited: 25
Enhancing Used Automobile Valuations: A Data-Cleaning and Linear Regression Approach for Predicting Prices In Competitive Market
Danish Ather, Naina Chaudhary, Gurinder Singh, et al.
(2023), pp. 1-5
Closed Access | Times Cited: 19
Modeling Daily Reference Evapotranspiration from Climate Variables: Assessment of Bagging and Boosting Regression Approaches
T. R. Jayashree, N. V. Subba Reddy, U. Dinesh Acharya
Water Resources Management (2023) Vol. 37, Iss. 3, pp. 1013-1032
Open Access | Times Cited: 16
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
An explainable AI for green hydrogen production: A deep learning regression model
Rania Ahmed, Sara A. Shehab, Omar M. Elzeki, et al.
International Journal of Hydrogen Energy (2024) Vol. 83, pp. 1226-1242
Closed Access | Times Cited: 7
Investigating the Performance of FASnI3‐Based Perovskite Solar Cells with Various Electron and Hole Transport Layers: Machine Learning Approach and SCAPS‐1D Analysis
Tanvir Mahtab Khan, Sheikh Rashel Al Ahmed
Advanced Theory and Simulations (2024)
Closed Access | Times Cited: 6
The mathematical catalyst deactivation models: a mini review
Zaidoon M. Shakor, Emad N. Al-Shafei
RSC Advances (2023) Vol. 13, Iss. 32, pp. 22579-22592
Open Access | Times Cited: 14
Enhancing Smart-Contract Security through Machine Learning: A Survey of Approaches and Techniques
Fan Jiang, Kailin Chao, Jianmao Xiao, et al.
Electronics (2023) Vol. 12, Iss. 9, pp. 2046-2046
Open Access | Times Cited: 13
Assessment of data intelligence algorithms in modeling daily reference evapotranspiration under input data limitation scenarios in semi-arid climatic condition
Jitendra Rajput, Man Singh, Khajanchi Lal, et al.
Water Science & Technology (2023) Vol. 87, Iss. 10, pp. 2504-2528
Open Access | Times Cited: 13
Data-driven reference evapotranspiration (ET0) estimation: a comparative study of regression and machine learning techniques
Jitendra Rajput, Man Singh, Khajanchi Lal, et al.
Environment Development and Sustainability (2023) Vol. 26, Iss. 5, pp. 12679-12706
Closed Access | Times Cited: 13
Enhancing Crop Yield Predictions with PEnsemble 4: IoT and ML-Driven for Precision Agriculture
Nisit Pukrongta, Attaphongse Taparugssanagorn, Kiattisak Sangpradit
Applied Sciences (2024) Vol. 14, Iss. 8, pp. 3313-3313
Open Access | Times Cited: 4
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
Which Machine Learning Algorithm Is Best Suited for Estimating Reference Evapotranspiration in Humid Subtropical Climate?
Proloy Deb, Virender Kumar, Anton Urfels, et al.
CLEAN - Soil Air Water (2025) Vol. 53, Iss. 1
Closed Access
Comparative Analysis of Machine Learning Models for Wind Speed Forecasting: Support Vector Machines, Fine Tree, and Linear Regression Approaches
Yousef Altork
International Journal of Thermofluids (2025), pp. 101217-101217
Open Access
Assessment for burst failure of subsea production pipeline systems based on machine learning
Yichi Zhang, Lele Yang, Hui Fang, et al.
Ocean Engineering (2024) Vol. 304, pp. 117873-117873
Closed Access | Times Cited: 3
A Computational Predictor for Accurate Identification of Tumor Homing Peptides by Integrating Sequential and Deep BiLSTM Features
Roha Arif, Sameera Kanwal, Saeed Ahmed, et al.
Interdisciplinary Sciences Computational Life Sciences (2024) Vol. 16, Iss. 2, pp. 503-518
Closed 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
Reference evapotranspiration prediction using machine learning models: An empirical study from minimal climate data
SHALOO SHALOO, Bipin Kumar, Himani Bisht, et al.
Agronomy Journal (2023) Vol. 116, Iss. 3, pp. 956-972
Closed Access | Times Cited: 7
Recurrent neural networks and sensitivity analysis for accurate monthly evapotranspiration estimation in the region of Fez, Morocco
Nisrine Lachgar, Achraf Berrajaa, Moad Essabbar, et al.
World Water Policy (2024) Vol. 10, Iss. 3, pp. 730-754
Closed Access | Times Cited: 2
Perakende Sektöründe Makine Öğrenmesi Algoritmalarının Karşılaştırmalı Performans Analizi: Black Friday Satış Tahminlemesi
Vahid Sinap
Selçuk Üniversitesi Sosyal Bilimler Meslek Yüksekokulu dergisi (2024) Vol. 27, Iss. 1, pp. 65-90
Open Access | Times Cited: 2
Modeling Exhaust Emissions in Older Vehicles in the Era of New Technologies
Maksymilian Mądziel
Energies (2024) Vol. 17, Iss. 19, pp. 4924-4924
Open Access | Times Cited: 2
A multi-decadal national scale assessment of reference evapotranspiration methods in continental and temperate climate zones of South Korea
Esther Lee, Seyed Mohammad Moein Sadeghi, Azade Deljouei, et al.
Journal of Hydrology (2023) Vol. 625, pp. 130021-130021
Closed Access | Times Cited: 6
Reference evapotranspiration estimate with missing climatic data and multiple linear regression models
Deniz Levent KOÇ, Müge Erkan Can
PeerJ (2023) Vol. 11, pp. e15252-e15252
Open Access | Times Cited: 4
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