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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:

Evaporation Rate Prediction Using Advanced Machine Learning Models: A Comparative Study
Zainab Abdulelah Al-Sudani, Golam Saleh Ahmed Salem
Advances in Meteorology (2022) Vol. 2022, pp. 1-13
Open Access | Times Cited: 19

Showing 19 citing articles:

Evaluation of CatBoost Method for Predicting Weekly Pan Evaporation in Subtropical and Sub-Humid Regions
Dinesh Kumar Vishwakarma, Pankaj Kumar, Krishna Kumar Yadav, et al.
Pure and Applied Geophysics (2024) Vol. 181, Iss. 2, pp. 719-747
Open Access | Times Cited: 15
Evaporation Prediction with Wavelet-Based Hyperparameter Optimized K-Nearest Neighbors and Extreme Gradient Boosting Algorithms in a Semi-Arid Environment
Okan Mert Katipoğlu
Environmental Processes (2023) Vol. 10, Iss. 4
Closed Access | Times Cited: 16
Hybridization of deep learning, nonlinear system identification and ensemble tree intelligence algorithms for pan evaporation estimation
Gebre Gelete, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬
Journal of Hydrology (2024) Vol. 640, pp. 131704-131704
Closed Access | Times Cited: 6
Hybridized Adaptive Neuro-Fuzzy Inference System with Metaheuristic Algorithms for Modeling Monthly Pan Evaporation
Rana Muhammad Adnan Ikram, Abolfazl Jaafari, Sami Ghordoyee Milan, et al.
Water (2022) Vol. 14, Iss. 21, pp. 3549-3549
Open Access | Times Cited: 20
Daily global solar radiation time series prediction using variational mode decomposition combined with multi-functional recurrent fuzzy neural network and quantile regression forests algorithm
Mohammed Abdallah, Babak Mohammadi, Hamid Nasiri, et al.
Energy Reports (2023) Vol. 10, pp. 4198-4217
Open Access | Times Cited: 13
Forecasting Evaporation Trends Amid Climate Change for Sustainable Water Management in Semi-Arid Regions
Ban Al-Hasani, Mawada Abdellatif, Iacopo Carnacina, et al.
Water (2025) Vol. 17, Iss. 7, pp. 1039-1039
Open Access
Extreme learning machine coupled with Heuristic algorithms for daily streamflow modeling at Lake Ziway Watershed, Ethiopia
Gebre Gelete, Hüseyin Gökçekuş, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, et al.
Journal of Hydrology (2025), pp. 133345-133345
Closed Access
Mitigating bias in prostate cancer diagnosis using synthetic data for improved AI driven Gleason grading
Derek J. Van Booven, Cheng-Bang Chen, Oleksandr N. Kryvenko, et al.
npj Precision Oncology (2025) Vol. 9, Iss. 1
Open Access
Gaussian mutation-alpine skiing optimization algorithm-recurrent attention unit-gated recurrent unit-extreme learning machine model: an advanced predictive model for predicting evaporation
Mohammad Ehteram, Fatemeh Barzegari Banadkooki, Mahdie Afshari Nia
Stochastic Environmental Research and Risk Assessment (2024) Vol. 38, Iss. 5, pp. 1803-1830
Closed Access | Times Cited: 3
Synthetic Genitourinary Image Synthesis via Generative Adversarial Networks: Enhancing Artificial Intelligence Diagnostic Precision
Derek J. Van Booven, Cheng-Bang Chen, Sheetal Malpani, et al.
Journal of Personalized Medicine (2024) Vol. 14, Iss. 7, pp. 703-703
Open Access | Times Cited: 3
Novel Hybrid Machine Learning Algorithms for Lakes Evaporation and Power Production using Floating Semitransparent Polymer Solar Cells
Ismail Abd‐Elaty, Nand Lal Kushwaha, A. Patel
Water Resources Management (2023) Vol. 37, Iss. 12, pp. 4639-4661
Open Access | Times Cited: 8
Interpretable machine learning for predicting evaporation from Awash reservoirs, Ethiopia
Kidist Demessie Eshetu, Tena Alamirew, Tekalegn Ayele Woldesenbet
Earth Science Informatics (2023) Vol. 16, Iss. 4, pp. 3209-3226
Closed Access | Times Cited: 7
Synthetic Genitourinary Image Synthesis via Generative Adversarial Networks: Enhancing AI Diagnostic Precision
Derek J. Van Booven, Cheng-Bang Chen, Sheetal Malpani, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
The Influence of Data Length on the Performance of Artificial Intelligence Models in Predicting Air Pollution
Mohamed Khalid AlOmar, Faidhalrahman Khaleel, Abdulwahab A. Abdulrahman Al-Saadi, et al.
Advances in Meteorology (2022) Vol. 2022, pp. 1-20
Open Access | Times Cited: 7
Estimation of reference evapotranspiration in South Korea using GK-2A AMI channel data and a tree-based machine learning method
Bu-Yo Kim, Joo Wan
Science of Remote Sensing (2024), pp. 100171-100171
Open Access | Times Cited: 1
Evaluating the degree of cloudiness using machine learning techniques based on different atmospheric conditions
Nusrat Jahan Borna, Md. Habibur Rahman
Theoretical and Applied Climatology (2024) Vol. 155, Iss. 8, pp. 7193-7222
Closed Access | Times Cited: 1
Machine Learning Approaches for River Discharge Prediction Using Acoustic Doppler Current Profiler (ADCP) Data
Mubarak Taiwo Mustapha, A. G. Usman, Dilber Uzun Ozsahin, et al.
Environmental earth sciences (2024), pp. 175-188
Closed Access
Perbandingan Random Forest Regression dan Support Vector Regression Pada Prediksi Laju Penguapan
Ferdinandus Edwin Penalun, Arief Hermawan, Donny Avianto
JURNAL FASILKOM (2023) Vol. 13, Iss. 02, pp. 104-111
Open Access | Times Cited: 1
IoT-Enabled Intelligent System for the Radiation Monitoring and Warning Approach
Muhammad Saifullah, Imran Sarwar Bajwa, Muhammad Ibrahim, et al.
Mobile Information Systems (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 2
An intelligent system framework for cancer prediction
Gundra Prudvi, B V A N S S Prabhakar Rao
AIP conference proceedings (2023) Vol. 2948, pp. 040001-040001
Closed Access
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