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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:

Predicting wind power generation using machine learning and CNN-LSTM approaches
Seyed Matin Malakouti, Amir Rikhtehgar Ghiasi, Amir Aminzadeh Ghavifekr, et al.
Wind Engineering (2022) Vol. 46, Iss. 6, pp. 1853-1869
Closed Access | Times Cited: 54

Showing 1-25 of 54 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
Utilizing time series data from 1961 to 2019 recorded around the world and machine learning to create a Global Temperature Change Prediction Model
Seyed Matin Malakouti
Case Studies in Chemical and Environmental Engineering (2023) Vol. 7, pp. 100312-100312
Open Access | Times Cited: 42
A Comprehensive Review of Wind Power Prediction Based on Machine Learning: Models, Applications, and Challenges
Zongxu Liu, Hui Guo, Y. Zhang, et al.
Energies (2025) Vol. 18, Iss. 2, pp. 350-350
Open Access | Times Cited: 1
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
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
Stability and safety study of pumped storage units based on time-shifted multi-scale cosine similarity entropy
Xiang Li, Yakun Guo, Boyi Xiao, et al.
Journal of Energy Storage (2024) Vol. 95, pp. 112611-112611
Closed Access | Times Cited: 5
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
Wind power prediction with accurate identification of ramp events based on Interval-SMOTE oversampling and ensemble learning
Ying Han, Xuemeng Wang, Kun Li
Wind Engineering (2025)
Closed Access
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
Adaptive short-term wind power forecasting with concept drifts
Yanting Li, Zhenyu Wu, Yan Su
Renewable Energy (2023) Vol. 217, pp. 119146-119146
Closed Access | Times Cited: 12
Optimized short-term wind power forecasting based on a combination feature selection and greater cane rat algorithm
Chunsheng Hu, Haowei Gong, Hao Li, et al.
Wind Engineering (2025)
Closed Access
Cooperative evaluation of multiple wind farms based on information in neighboring wind farms and improved TCN
Long Cheng, Li Xu, Lihua Li, et al.
Wind Engineering (2025)
Closed Access
FTLNet: federated deep learning model for multi-horizon wind power forecasting
Majad Mansoor, Tao Gong, Adeel Feroz Mirza, et al.
Discover Internet of Things (2025) Vol. 5, Iss. 1
Open Access
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
Deterministic Forecasting and Probabilistic Post‐Processing of Short‐Term Wind Speed Using Statistical Methods
Lei Sun, Yufeng Lan, Xian Sun, et al.
Journal of Geophysical Research Atmospheres (2024) Vol. 129, Iss. 7
Closed Access | Times Cited: 3
Machine learning based renewable energy generation and energy consumption forecasting
Akash Talwariya, Pushpendra Singh, Jalpa H. Jobanputra, et al.
Energy Sources Part A Recovery Utilization and Environmental Effects (2023) Vol. 45, Iss. 2, pp. 3266-3278
Closed Access | Times Cited: 7
Modified Cuckoo Optimization Algorithm for Frequency Regulation of Microgrids
Ali Firouzi Abriz, Amir Aminzadeh Ghavifekr, Moein Soltaninejad, et al.
(2023), pp. 1-5
Closed Access | Times Cited: 7
Unlocking the potential: A review of artificial intelligence applications in wind energy
Safa Dörterler, Seyfullah Arslan, Durmuş Özdemir
Expert Systems (2024) Vol. 41, Iss. 12
Open Access | Times Cited: 2
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
AERO2022-flying danger reduction for quadcopters by using machine learning to estimate current, voltage, and flight area
Seyed Matin Malakouti, Amir Rikhtehgar Ghiasi, Amir Aminzadeh Ghavifekr
e-Prime - Advances in Electrical Engineering Electronics and Energy (2022) Vol. 2, pp. 100084-100084
Open Access | Times Cited: 8
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