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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:

Estimating the output power and wind speed with ML methods: A case study in Texas
Seyed Matin Malakouti
Case Studies in Chemical and Environmental Engineering (2023) Vol. 7, pp. 100324-100324
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

The usage of 10-fold cross-validation and grid search to enhance ML methods performance in solar farm power generation prediction
Seyed Matin Malakouti, Mohammad Bagher Menhaj, Amir Abolfazl Suratgar
Cleaner Engineering and Technology (2023) Vol. 15, pp. 100664-100664
Open Access | Times Cited: 76
Heart disease classification based on ECG using machine learning models
Seyed Matin Malakouti
Biomedical Signal Processing and Control (2023) Vol. 84, pp. 104796-104796
Closed Access | Times Cited: 60
Improving the prediction of wind speed and power production of SCADA system with ensemble method and 10-fold cross-validation
Seyed Matin Malakouti
Case Studies in Chemical and Environmental Engineering (2023) Vol. 8, pp. 100351-100351
Open Access | Times Cited: 47
Machine learning boosts wind turbine efficiency with smart failure detection and strategic placement
Sekar Kidambi Raju, Muthusamy Periyasamy, Amel Ali Alhussan, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Babysitting hyperparameter optimization and 10-fold-cross-validation to enhance the performance of ML methods in predicting wind speed and energy generation
Seyed Matin Malakouti
Intelligent Systems with Applications (2023) Vol. 19, pp. 200248-200248
Open Access | Times Cited: 23
Advanced techniques for wind energy production forecasting: Leveraging multi-layer Perceptron + Bayesian optimization, ensemble learning, and CNN-LSTM models
Seyed Matin Malakouti, Farrokh Karimi, Hamid Abdollahi, et al.
Case Studies in Chemical and Environmental Engineering (2024) Vol. 10, pp. 100881-100881
Open Access | Times Cited: 12
ML: Early Breast Cancer Diagnosis
Seyed Matin Malakouti, Mohammad Bagher Menhaj, Amir Abolfazl Suratgar
Current Problems in Cancer Case Reports (2024) Vol. 13, pp. 100278-100278
Open Access | Times Cited: 9
The Role of Utilizing Artificial Intelligence and Renewable Energy in Reaching Sustainable Development Goals
Fatma M. Talaat, A.E. Kabeel, Warda M. Shaban
Renewable Energy (2024) Vol. 235, pp. 121311-121311
Closed Access | Times Cited: 7
Machine learning and transfer learning techniques for accurate brain tumor classification
Seyed Matin Malakouti, Mohammad Bagher Menhaj, Amir Abolfazl Suratgar
Clinical eHealth (2024) Vol. 7, pp. 106-119
Open Access | Times Cited: 5
Use of CPT and other parameters for estimating soil unit weight using optimised machine learning models
Swaranjit Roy, Abrar Rahman Abir, Mehedi Ahmed Ansary
Earth Science Informatics (2025) Vol. 18, Iss. 2
Open Access
Increasing the feasibility and storage property of cellulose-based biomass by forming shape-stabilized briquette with hydrophobic compound
La Ode M. Firman, Rizky Bayu Adji, Ismail Ismail, et al.
Case Studies in Chemical and Environmental Engineering (2023) Vol. 8, pp. 100443-100443
Open Access | Times Cited: 14
Prediction of Wind Speed and Power with LightGBM and Grid Search: Case Study Based on Scada System in Turkey
Seyed Matin Malakouti
International Journal of Energy Production and Management (2023) Vol. 8, Iss. 1, pp. 35-40
Open Access | Times Cited: 13
PM2.5 concentration prediction using machine learning algorithms: an approach to virtual monitoring stations
Ahmad Makhdoomi, Maryam Sarkhosh, Somayyeh Ziaei
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Multi-model integration for dynamic forecasting (MIDF): a framework for wind speed and direction prediction
Molaka Maruthi, Bubryur Kim, Song Sujeen, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 6
Open Access
Seasonal forecasting of the hourly electricity demand applying machine and deep learning algorithms impact analysis of different factors
Heba-Allah Ibrahim El-Azab, R.A. Swief, Noha H. El-Amary, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Evaluating the performance of random forest, support vector machine, gradient tree boost, and CART for improved crop-type monitoring using greenest pixel composite in Google Earth Engine
Chirasmayee Savitha, Reshma Talari
Environmental Monitoring and Assessment (2025) Vol. 197, Iss. 4
Closed Access
Short-term wind power forecasting using integrated boosting approach
Ubaid Ahmed, Rasheed Muhammad, Syed Sami Abbas, et al.
Frontiers in Energy Research (2024) Vol. 12
Open Access | Times Cited: 3
Discriminate primary gammas (signal) from the images of hadronic showers by cosmic rays in the upper atmosphere (background) with machine learning
Seyed Matin Malakouti
Physica Scripta (2023) Vol. 98, Iss. 4, pp. 045506-045506
Closed Access | Times Cited: 10
Application of four machine-learning methods to predict short-horizon wind energy
Doha Bouabdallaoui, Touria Haidi, Faissal Elmariami, et al.
Global Energy Interconnection (2023) Vol. 6, Iss. 6, pp. 726-737
Open Access | Times Cited: 7
Machine learning techniques for classifying dangerous asteroids
Seyed Matin Malakouti, Mohammad Bagher Menhaj, Amir Abolfazl Suratgar
MethodsX (2023) Vol. 11, pp. 102337-102337
Open Access | Times Cited: 5
A novel SE-weighted multi-scale Hedging CNN approach for fault diagnosis of wind turbine
Xiaoqiang Wen, Kaixun Yang, Xin Peng, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 9, pp. 095905-095905
Closed Access | Times Cited: 5
An intelligent optimized deep network-based predictive system for wind power plant application
Mohammad Abdul Baseer, Anas Almunif, Ibrahim Alsaduni, et al.
Electrical Engineering (2024) Vol. 106, Iss. 5, pp. 6295-6307
Closed Access | Times Cited: 1
A novel analysis of random forest regression model for wind speed forecasting
J Sathyaraj, V. Sankardoss
Cogent Engineering (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 1
Solving Ac Optimal Power Flow(Ac-Opf) Consideringenergy Storage Dynamics Using Distributed Gradientdynamics
Seyed Matin Malakouti
(2024)
Closed Access
WITHDRAWN: Enhancing Cancer Detection Through DNA Sequences and Ensemble Method
Seyed Matin Malakouti, Arvin Esfandiari, Mohammad Bagher Menhaj, et al.
Intelligent Systems with Applications (2024), pp. 200371-200371
Open Access
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