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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 Bayesian Optimization-Based LSTM Model for Wind Power Forecasting in the Adama District, Ethiopia
Ejigu Tefera Habtemariam, Kula Kekeba, M. Martínez-Ballesteros, et al.
Energies (2023) Vol. 16, Iss. 5, pp. 2317-2317
Open Access | Times Cited: 18

Showing 18 citing articles:

Explaining deep learning models for ozone pollution prediction via embedded feature selection
M. J. Jiménez-Navarro, M. Martínez-Ballesteros, Francisco Martínez–Álvarez, et al.
Applied Soft Computing (2024) Vol. 157, pp. 111504-111504
Open Access | Times Cited: 12
Hour-Ahead Photovoltaic Power Prediction Combining BiLSTM and Bayesian Optimization Algorithm, with Bootstrap Resampling for Interval Predictions
Reinier Herrera Casanova, Arturo Conde Enrı́quez, Carlos Santos
Sensors (2024) Vol. 24, Iss. 3, pp. 882-882
Open Access | Times Cited: 6
Runoff simulation in the upper Han River Basin using physics-informed machine learningmodel
Chao Deng, Sun Peiyuan, Xin Yin, et al.
Journal of Lake Sciences (2025) Vol. 37, Iss. 1, pp. 279-292
Open Access
Fault diagnosis of uncertain photovoltaic systems using deep recurrent neural networks based Lissajous curves
Zahra Yahyaoui, Walid Touti, Mansour Hajji, et al.
Computers & Electrical Engineering (2025) Vol. 123, pp. 110191-110191
Closed Access
A Deep Learning-Based Cyberattack Detection Method for Line Differential Relays
Mohamed Elgamal, Abdelfattah A. Eladl, Bishoy E. Sedhom, et al.
Internet of Things (2025), pp. 101574-101574
Closed Access
A novel approach based on clustering and optimized ensemble deep learning for energy consumption forecasting in Ethiopia
Ejigu Tefera Habtemariam, M. Martínez-Ballesteros, Alicia Troncoso, et al.
Neurocomputing (2025), pp. 130027-130027
Closed Access
Handover algorithm based on Bayesian-optimized LSTM and multi-attribute decision making for heterogeneous networks
Yi Luo, Yinghui Zhang, Chaoyang Du, et al.
Ad Hoc Networks (2024) Vol. 157, pp. 103454-103454
Closed Access | Times Cited: 3
Monthly Runoff Prediction by Combined Models Based on Secondary Decomposition at the Wulong Hydrological Station in the Yangtze River Basin
Huaibin Wei, Yao Wang, Jing Liu, et al.
Water (2023) Vol. 15, Iss. 21, pp. 3717-3717
Open Access | Times Cited: 7
A hybrid Bayesian optimization-based deep learning model for modeling the condition of saltwater pipes in Hong Kong
Eslam Mohammed Abdelkader, Tarek Zayed, Nehal Elshaboury, et al.
International Journal of Construction Management (2024), pp. 1-17
Closed Access | Times Cited: 2
Explainable deep learning on multi-target time series forecasting: an air pollution use case
M. J. Jiménez-Navarro, Mario Lovrić, Simonas Kecorius, et al.
Results in Engineering (2024) Vol. 24, pp. 103290-103290
Open Access | Times Cited: 1
A Survey on Machine Learning Applications in Renewable Energies Forecasting
Milad Mohabbati
Power systems (2024), pp. 305-326
Closed Access | Times Cited: 1
Estimation of Hydroelectric Power Generation Forecasting and Analysis of Climate Factors with Deep Learning Methods: A Case Study in Yozgat Province in Turkey
Feyza Nur ÇAKICI, Süleyman Sungur Tezcan, Hıdır Düzkaya
Gazi Üniversitesi Fen Bilimleri Dergisi Part C Tasarım ve Teknoloji (2024) Vol. 12, Iss. 4, pp. 819-831
Open Access
Performance analysis of machine learning algorithms for hybrid power generation prediction
Gencay Sarıışık, Ahmet Sabri Öğütlü
Neural Computing and Applications (2024) Vol. 37, Iss. 5, pp. 3203-3225
Closed Access
Enhanced K-NN with Bayesian optimization algorithm for predicting energy efficiency of smart grids in IoT
Wenlong Zhao, Yuan‐Chao Hu, Xiaopeng Yan, et al.
Cluster Computing (2024)
Closed Access
Unlocking Stock Price Prognostication Dual Attention-Infused Bi-Directional LSTM Empowered by Bayesian Optimization DA-Bi-LSTM-BO
Talabathula Jayanth, Manimaran Aridoss
SN Computer Science (2024) Vol. 5, Iss. 8
Closed Access
Facebook Prophet Model with Bayesian Optimization for USD Index Prediction
Ahmad Hamdani, Daniel Swanjaya, Risa Helilintar
JUITA Jurnal Informatika (2023) Vol. 11, Iss. 2, pp. 293-293
Open Access | Times Cited: 1
Enhanced K-NN with Bayesian Optimization Algorithm for Predicting Energy Efficiency of Smart Grids in IoT
Wenlong ZHAO, Yuan‐Chao Hu, Xiaopeng Yan, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
A New Hybrid CNN-LSTM for Wind Power Forecasting in Ethiopia
Eskadmas Ayenew Tefera, M. Martínez-Ballesteros, Alicia Troncoso, et al.
Lecture notes in computer science (2023), pp. 207-218
Closed Access | Times Cited: 1
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