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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:

Two-Stage Attention Over LSTM With Bayesian Optimization for Day-Ahead Solar Power Forecasting
Muhammad Aslam, Seung‐Jae Lee, Sang-Hee Khang, et al.
IEEE Access (2021) Vol. 9, pp. 107387-107398
Open Access | Times Cited: 69

Showing 1-25 of 69 citing articles:

Artificial Intelligence for Antimicrobial Resistance Prediction: Challenges and Opportunities towards Practical Implementation
Tabish Ali, Sarfaraz Ahmed, Muhammad Aslam
Antibiotics (2023) Vol. 12, Iss. 3, pp. 523-523
Open Access | Times Cited: 68
Attention-based LSTM predictive model for the attitude and position of shield machine in tunneling
Qing Kang, Elton J. Chen, Zhongchao Li, et al.
Underground Space (2023) Vol. 13, pp. 335-350
Open Access | Times Cited: 53
Machine learning solutions for renewable energy systems: Applications, challenges, limitations, and future directions
Zaid Allal, Hassan Noura, Ola Salman, et al.
Journal of Environmental Management (2024) Vol. 354, pp. 120392-120392
Closed Access | Times Cited: 28
A cohesive structure of Bi-directional long-short-term memory (BiLSTM) -GRU for predicting hourly solar radiation
Neethu Elizabeth Michael, Ramesh C. Bansal, Ali Ahmed Adam Ismail, et al.
Renewable Energy (2024) Vol. 222, pp. 119943-119943
Closed Access | Times Cited: 20
Evaluating neural network models in site-specific solar PV forecasting using numerical weather prediction data and weather observations
Christina Brester, Viivi Kallio‐Myers, Anders Lindfors, et al.
Renewable Energy (2023) Vol. 207, pp. 266-274
Open Access | Times Cited: 39
High-resolution PV power prediction model based on the deep learning and attention mechanism
Seyed Mahdi Miraftabzadeh, Michela Longo
Sustainable Energy Grids and Networks (2023) Vol. 34, pp. 101025-101025
Closed Access | Times Cited: 38
A cross-sectional survey of deterministic PV power forecasting: Progress and limitations in current approaches
Andreea Săbăduş, Robert Blaga, Sergiu-Mihai Hategan, et al.
Renewable Energy (2024) Vol. 226, pp. 120385-120385
Closed Access | Times Cited: 13
Enhancement of LSTM models based on data pre-processing and optimization of Bayesian hyperparameters for day-ahead photovoltaic generation prediction
Reinier Herrera Casanova, Arturo Conde Enrı́quez
Computers & Electrical Engineering (2024) Vol. 116, pp. 109162-109162
Closed Access | Times Cited: 9
Multi-step ahead wind power forecasting based on dual-attention mechanism
Muhammad Aslam, Jun‐Sung Kim, Jaesung Jung
Energy Reports (2022) Vol. 9, pp. 239-251
Open Access | Times Cited: 28
A novel cyber-Resilient solar power forecasting model based on secure federated deep learning and data visualization
Arash Moradzadeh, Hamed Moayyed, Behnam Mohammadi‐Ivatloo, et al.
Renewable Energy (2023) Vol. 211, pp. 697-705
Open Access | Times Cited: 17
Enhanced prediction of stock markets using a novel deep learning model PLSTM-TAL in urbanized smart cities
Saima Latif, Nadeem Javaid, Faheem Aslam, et al.
Heliyon (2024) Vol. 10, Iss. 6, pp. e27747-e27747
Open Access | Times Cited: 6
Comparative Analysis Using Multiple Regression Models for Forecasting Photovoltaic Power Generation
Burhan U Din Abdullah, Shahbaz Ahmad Khanday, Nair Ul Islam, et al.
Energies (2024) Vol. 17, Iss. 7, pp. 1564-1564
Open Access | Times Cited: 6
Prediction of antimicrobial minimal inhibitory concentrations for Neisseria gonorrhoeae using machine learning models
Muhammad Yasir, Asad Mustafa Karim, Sumera Kausar Malik, et al.
Saudi Journal of Biological Sciences (2022) Vol. 29, Iss. 5, pp. 3687-3693
Open Access | Times Cited: 27
Assessment of Different Deep Learning Methods of Power Generation Forecasting for Solar PV System
Wen-Chi Kuo, Chiun-Hsun Chen, Shih-Hong Hua, et al.
Applied Sciences (2022) Vol. 12, Iss. 15, pp. 7529-7529
Open Access | Times Cited: 27
Optimizing Short-Term Photovoltaic Power Forecasting: A Novel Approach with Gaussian Process Regression and Bayesian Hyperparameter Tuning
Md. Samin Safayat Islam, Puja Ghosh, Md. Omer Faruque, et al.
Processes (2024) Vol. 12, Iss. 3, pp. 546-546
Open Access | Times Cited: 5
Forecasting stock prices using long short-term memory involving attention approach: An application of stock exchange industry
Muhammad Idrees, Maqbool Hussain Sial, Najam Ul Hassan
PLoS ONE (2025) Vol. 20, Iss. 3, pp. e0319679-e0319679
Open Access
An Ensemble Neural Network Based on Variational Mode Decomposition and an Improved Sparrow Search Algorithm for Wind and Solar Power Forecasting
Zhiqiang Wu, Bo Wang
IEEE Access (2021) Vol. 9, pp. 166709-166719
Open Access | Times Cited: 27
Net Load Forecasting With Disaggregated Behind-the-Meter PV Generation
Anne Stratman, Tianqi Hong, Ming Yi, et al.
IEEE Transactions on Industry Applications (2023) Vol. 59, Iss. 5, pp. 5341-5351
Open Access | Times Cited: 9
Life cycle assessment and forecasting for 30kW solar power plant using machine learning algorithms
Sushree Samikshya Pattanaik, Ashwin Kumar Sahoo, R. Panda, et al.
e-Prime - Advances in Electrical Engineering Electronics and Energy (2024) Vol. 7, pp. 100476-100476
Open Access | Times Cited: 3
DWT-BILSTM-based models for day-ahead hourly global horizontal solar irradiance forecasting
Sibel Çevik Bektaş, İsmail H. Altaş
Neural Computing and Applications (2024) Vol. 36, Iss. 21, pp. 13243-13253
Open Access | Times Cited: 3
Improving Photovoltaic Power Prediction: Insights through Computational Modeling and Feature Selection
Ahmed Faris Amiri, Aissa Chouder, Houcine Oudira, et al.
(2024)
Open Access | Times Cited: 3
Improving Photovoltaic Power Prediction: Insights through Computational Modeling and Feature Selection
Ahmed Faris Amiri, Aissa Chouder, Houcine Oudira, et al.
Energies (2024) Vol. 17, Iss. 13, pp. 3078-3078
Open Access | Times Cited: 3
Multi-attention network with redundant information filtering for multi-horizon forecasting in multivariate time series
Xiulin Geng, Xiaoyu He, Miao Hu, et al.
Expert Systems with Applications (2024) Vol. 257, pp. 125062-125062
Closed Access | Times Cited: 3
Multivariate Deep Learning Long Short-Term Memory-Based Forecasting for Microgrid Energy Management Systems
Farid Moazzen, M. J. Hossain
Energies (2024) Vol. 17, Iss. 17, pp. 4360-4360
Open Access | Times Cited: 3
Wind and Photovoltaic Power Generation Forecasting for Virtual Power Plants Based on the Fusion of Improved K-Means Cluster Analysis and Deep Learning
Zhichao Qiu, Ye Tian, Yanhong Luo, et al.
Sustainability (2024) Vol. 16, Iss. 23, pp. 10740-10740
Open Access | Times Cited: 3
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