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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:

Day-Ahead Electricity Price Forecasting Based on Hybrid Regression Model
Ali Najem Alkawaz, Abdallah Abdellatif, Jeevan Kanesan, et al.
IEEE Access (2022) Vol. 10, pp. 108021-108033
Open Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

A new framework for electricity price forecasting via multi-head self-attention and CNN-based techniques in the competitive electricity market
Alireza Pourdaryaei, Mohammad Mohammadi, Hamza Mubarak, et al.
Expert Systems with Applications (2023) Vol. 235, pp. 121207-121207
Open Access | Times Cited: 26
Seq2Seq-LSTM With Attention for Electricity Load Forecasting in Brazil
William Gouvêa Buratto, Rafael Ninno Muniz, Ademir Nied, et al.
IEEE Access (2024) Vol. 12, pp. 30020-30029
Open Access | Times Cited: 8
Day-Ahead Electricity Price Prediction and Error Correction Method Based on Feature Construction–Singular Spectrum Analysis–Long Short-Term Memory
Yuzhe Jiang, Weiqing Sun
Energies (2025) Vol. 18, Iss. 4, pp. 919-919
Open Access | Times Cited: 1
Data-Driven Techniques for Short-Term Electricity Price Forecasting through Novel Deep Learning Approaches with Attention Mechanisms
Vasileios Laitsos, Georgios Vontzos, Dimitrios Bargiotas, et al.
Energies (2024) Vol. 17, Iss. 7, pp. 1625-1625
Open Access | Times Cited: 7
Multi-Task Learning for Electricity Price Forecasting and Resource Management in Cloud Based Industrial IoT Systems
Abdulwahab Ali Almazroi, Nasir Ayub
IEEE Access (2023) Vol. 11, pp. 54280-54295
Open Access | Times Cited: 14
Combined use of long short‐term memory neural network and quantum computation for hierarchical forecasting of locational marginal prices
Xin Huang, Guozhong Liu, Jiajia Huan, et al.
Energy Conversion and Economics (2025)
Open Access
Half-hourly electricity price prediction model with explainable-decomposition hybrid deep learning approach
Sujan Ghimire, Ravinesh C. Deo, Konstantin Hopf, et al.
Energy and AI (2025), pp. 100492-100492
Open Access
Comparative Study of Data-Driven Short-Term Forecasting Techniques in Electricity Price Prediction
Rahul Sagwal, S. N. Singh, J. Ramkumar, et al.
Lecture notes in networks and systems (2025), pp. 215-232
Closed Access
Short-Term Electricity Price Forecasting of Ontario Market by LASSO-LSTM Model of Deep Learning
Ashish Prajesh, Prerna Jain, Deepak Ranjan Nayak, et al.
Lecture notes in electrical engineering (2025), pp. 533-543
Closed Access
Day-Ahead Energy Price Forecasting with Machine Learning: Role of Endogenous Predictors
Chibuike Chiedozie Ibebuchi
Forecasting (2025) Vol. 7, Iss. 2, pp. 18-18
Open Access
Day-ahead multi-modal demand side management in microgrid via two-stage improved ring-topology particle swarm optimization
Sicheng Hou, Goytom Gebreyesus, Shigeru Fujimura
Expert Systems with Applications (2023) Vol. 238, pp. 122135-122135
Closed Access | Times Cited: 9
A predictive analytics approach for forecasting bike rental demand
Meerah Karunanithi, Parin Chatasawapreeda, Talha Ali Khan
Decision Analytics Journal (2024) Vol. 11, pp. 100482-100482
Open Access | Times Cited: 3
INT-FUP: Intuitionistic Fuzzy Pooling
Chaymae Rajafillah, Karim El Moutaouakil, Alina-Mihaela Patriciu, et al.
Mathematics (2024) Vol. 12, Iss. 11, pp. 1740-1740
Open Access | Times Cited: 3
Machine learning models for forecasting and estimation of business operations
Shaik Fayaz Ahamed, Vijayasankar Anumala, M Thenmozhi, et al.
The Journal of High Technology Management Research (2023) Vol. 34, Iss. 1, pp. 100455-100455
Closed Access | Times Cited: 7
Optimization of a Compact Wearable LoRa Patch Antenna for Vital Sign Monitoring in WBAN Medical Applications Using Machine Learning
Mohamed Waly, Jamel Smida, Mohsen Bakouri, et al.
IEEE Access (2024) Vol. 12, pp. 103860-103879
Open Access | Times Cited: 2
Training Multilayer Neural Network Based on Optimal Control Theory for Limited Computational Resources
Ali Najem Alkawaz, Jeevan Kanesan, Anis Salwa Mohd Khairuddin, et al.
Mathematics (2023) Vol. 11, Iss. 3, pp. 778-778
Open Access | Times Cited: 6
From the East-European Regional Day-Ahead Markets to a Global Electricity Market
Adela Bârã, Simona‐Vasilica Oprea, Bogdan-George Tudorică
Computational Economics (2023) Vol. 63, Iss. 6, pp. 2525-2557
Closed Access | Times Cited: 6
Electricity Price Forecasting One Day Ahead by Employing Hybrid Deep Learning Model
Abdallah Abdellatif, Hamza Mubarak, Shameem Ahmad, et al.
(2023), pp. 1-5
Closed Access | Times Cited: 5
Short-term Electricity Price Forecasting Using Interpretable Hybrid Machine Learning Models
Hamza Mubarak, Shameem Ahmad, Al Amin Hossain, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 4
An Intra-Day Electricity Price Forecasting Based on a Probabilistic Transformer Neural Network Architecture
Sergio Cantillo-Luna, Ricardo Moreno‐Chuquen, Jesus Lopez-Sotelo, et al.
Energies (2023) Vol. 16, Iss. 19, pp. 6767-6767
Open Access | Times Cited: 4
Optimization strategy of power purchase and sale for electricity retailers in a two-tier market
Bowen Zhou, Yuwei Guo, Xin Liu, et al.
Heliyon (2024) Vol. 10, Iss. 4, pp. e26333-e26333
Open Access | Times Cited: 1
Day-Ahead electricity price forecasting using a CNN-BiLSTM model in conjunction with autoregressive modeling and hyperparameter optimization
Hamza Mubarak, Abdallah Abdellatif, Shameem Ahmad, et al.
International Journal of Electrical Power & Energy Systems (2024) Vol. 161, pp. 110206-110206
Open Access | Times Cited: 1
Recurrence Multilinear Regression Technique for Improving Accuracy of Energy Prediction in Power Systems
Quota Alief Sias, Rahma Gantassi, Yonghoon Choi, et al.
Energies (2024) Vol. 17, Iss. 20, pp. 5186-5186
Open Access | Times Cited: 1
Intra-day Electricity Price Forecasting Based on a Time2Vec-LSTM Neural Network Model
Sergio Cantillo-Luna, Ricardo Moreno‐Chuquen, Jesús Alfonso López Sotélo
(2023), pp. 1-6
Closed Access | Times Cited: 3
OptiFeat: Enhancing Feature Selection, A Hybrid Approach Combining Subject Matter Expertise and Recursive Feature Elimination Method
G. Vijayakumar, R Bharathi
Research Square (Research Square) (2024)
Open Access
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