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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 survey on hyperparameters optimization algorithms of forecasting models in smart grid
Rabiya Khalid, Nadeem Javaid
Sustainable Cities and Society (2020) Vol. 61, pp. 102275-102275
Closed Access | Times Cited: 151

Showing 1-25 of 151 citing articles:

A review of wind speed and wind power forecasting with deep neural networks
Yun Wang, Runmin Zou, Fang Liu, et al.
Applied Energy (2021) Vol. 304, pp. 117766-117766
Closed Access | Times Cited: 538
Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges
Bernd Bischl, Martin Binder, Michel Lang, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2023) Vol. 13, Iss. 2
Open Access | Times Cited: 316
A novel stacked generalization ensemble-based hybrid LGBM-XGB-MLP model for Short-Term Load Forecasting
Mohamed Massaoudi, Shady S. Refaat, Inès Chihi, et al.
Energy (2020) Vol. 214, pp. 118874-118874
Closed Access | Times Cited: 298
Comparison of machine learning methods for photovoltaic power forecasting based on numerical weather prediction
Dávid Markovics, Martin János Mayer
Renewable and Sustainable Energy Reviews (2022) Vol. 161, pp. 112364-112364
Open Access | Times Cited: 227
Time-series production forecasting method based on the integration of Bidirectional Gated Recurrent Unit (Bi-GRU) network and Sparrow Search Algorithm (SSA)
Xuechen Li, Xinfang Ma, Fengchao Xiao, et al.
Journal of Petroleum Science and Engineering (2021) Vol. 208, pp. 109309-109309
Closed Access | Times Cited: 130
A review on the integrated optimization techniques and machine learning approaches for modeling, prediction, and decision making on integrated energy systems
Tobi Michael Alabi, Emmanuel Imuetinyan Aghimien, Favour David Agbajor, et al.
Renewable Energy (2022) Vol. 194, pp. 822-849
Closed Access | Times Cited: 126
A comparative assessment of SARIMA, LSTM RNN and Fb Prophet models to forecast total and peak monthly energy demand for India
Shobhit Chaturvedi, E. Rajasekar, Sukumar Natarajan, et al.
Energy Policy (2022) Vol. 168, pp. 113097-113097
Closed Access | Times Cited: 100
A novel long term solar photovoltaic power forecasting approach using LSTM with Nadam optimizer: A case study of India
Jatin Sharma, Sameer Soni, Priyanka Paliwal, et al.
Energy Science & Engineering (2022) Vol. 10, Iss. 8, pp. 2909-2929
Open Access | Times Cited: 76
Energy Monitoring and Control in the Smart Grid
C. R. Kavitha, M. Varalatchoumy, H. R. Mithuna, et al.
Advances in bioinformatics and biomedical engineering book series (2023), pp. 290-316
Closed Access | Times Cited: 59
A systematic review of hyperparameter optimization techniques in Convolutional Neural Networks
Mohaimenul Azam Khan Raiaan, Sadman Sakib, Nur Mohammad Fahad, et al.
Decision Analytics Journal (2024) Vol. 11, pp. 100470-100470
Open Access | Times Cited: 31
Machine learning for the management of biochar yield and properties of biomass sources for sustainable energy
Van Giao Nguyen, Prabhakar Sharma, Ümit Ağbulut, et al.
Biofuels Bioproducts and Biorefining (2024) Vol. 18, Iss. 2, pp. 567-593
Closed Access | Times Cited: 21
Predicting E-commerce customer satisfaction: Traditional machine learning vs. deep learning approaches
M. F. ZAGHLOUL, Sherif Barakat, Amira Rezk
Journal of Retailing and Consumer Services (2024) Vol. 79, pp. 103865-103865
Closed Access | Times Cited: 18
Identifying Human Factors in Aviation Accidents with Natural Language Processing and Machine Learning Models
Flávio L. Lázaro, Tomás Madeira, Rui Melício, et al.
Aerospace (2025) Vol. 12, Iss. 2, pp. 106-106
Open Access | Times Cited: 1
A systematic review of emerging feature selection optimization methods for optimal text classification: the present state and prospective opportunities
Abiodun Esther Omolara, Abdulatif Alabdulatif, Oludare Isaac Abiodun, et al.
Neural Computing and Applications (2021) Vol. 33, Iss. 22, pp. 15091-15118
Open Access | Times Cited: 101
LSTM and Bat-Based RUSBoost Approach for Electricity Theft Detection
Muhammad Adil, Nadeem Javaid, U. Qasim, et al.
Applied Sciences (2020) Vol. 10, Iss. 12, pp. 4378-4378
Open Access | Times Cited: 92
A review on applications of artificial intelligence in modeling and optimization of laser beam machining
Ali Naderi, Zhiwen Wang, Liyong Wang, et al.
Optics & Laser Technology (2020) Vol. 135, pp. 106721-106721
Closed Access | Times Cited: 89
A novel hybrid load forecasting framework with intelligent feature engineering and optimization algorithm in smart grid
Ghulam Hafeez, Imran Khan, Sadaqat Jan, et al.
Applied Energy (2021) Vol. 299, pp. 117178-117178
Closed Access | Times Cited: 89
Hybridization of hybrid structures for time series forecasting: a review
Zahra Hajirahimi, Mehdi Khashei
Artificial Intelligence Review (2022) Vol. 56, Iss. 2, pp. 1201-1261
Closed Access | Times Cited: 65
Data Augmentation and Deep Learning Methods in Sound Classification: A Systematic Review
Olusola Abayomi‐Alli, Robertas Damaševičius, Atika Qazi, et al.
Electronics (2022) Vol. 11, Iss. 22, pp. 3795-3795
Open Access | Times Cited: 63
An adaptive synthesis to handle imbalanced big data with deep siamese network for electricity theft detection in smart grids
Nadeem Javaid, Naeem Jan, Muhammad Umar Javed
Journal of Parallel and Distributed Computing (2021) Vol. 153, pp. 44-52
Closed Access | Times Cited: 61
Short-term solar irradiance forecasting based on a novel Bayesian optimized deep Long Short-Term Memory neural network
Neethu Elizabeth Michael, Shazia Hasan, Ahmed Al‐Durra, et al.
Applied Energy (2022) Vol. 324, pp. 119727-119727
Closed Access | Times Cited: 61
A survey on neural networks for (cyber-) security and (cyber-) security of neural networks
Marek Pawlicki, Rafał Kozik, Michał Choraś
Neurocomputing (2022) Vol. 500, pp. 1075-1087
Open Access | Times Cited: 48
A prediction approach with mode decomposition-recombination technique for short-term load forecasting
Weimin Yue, Qingrong Liu, Yingjun Ruan, et al.
Sustainable Cities and Society (2022) Vol. 85, pp. 104034-104034
Closed Access | Times Cited: 44
Research on the potential for China to achieve carbon neutrality: A hybrid prediction model integrated with elman neural network and sparrow search algorithm
Meng Yang, Yi‐Sheng Liu
Journal of Environmental Management (2022) Vol. 329, pp. 117081-117081
Open Access | Times Cited: 41
A data-driven prediction model for maximum pitting corrosion depth of subsea oil pipelines using SSA-LSTM approach
Xinhong Li, Mengmeng Guo, Renren Zhang, et al.
Ocean Engineering (2022) Vol. 261, pp. 112062-112062
Closed Access | Times Cited: 39
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