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 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

Showing 1-25 of 26 citing articles:

Improved multistep ahead photovoltaic power prediction model based on LSTM and self-attention with weather forecast data
Zehuan Hu, Yuan Gao, Siyu JI, et al.
Applied Energy (2024) Vol. 359, pp. 122709-122709
Closed Access | Times Cited: 69

A combined system based on data preprocessing and optimization algorithm for electricity load forecasting
Lei Gu, Jianzhou Wang, Jingjiang Liu
Computers & Industrial Engineering (2024) Vol. 191, pp. 110114-110114
Closed Access | Times Cited: 15

LSTM vs. Prophet: Achieving Superior Accuracy in Dynamic Electricity Demand Forecasting
Saleh Albahli
Energies (2025) Vol. 18, Iss. 2, pp. 278-278
Open Access | Times Cited: 1

An integrated hybrid deep learning data driven approaches for spatiotemporal mapping of land susceptibility to salt/dust emissions
Bakhtiar Feizizadeh, Peyman Yariyan, Murat Yakar, et al.
Advances in Space Research (2025)
Closed Access | Times Cited: 1

The evolutionary game equilibrium theory on power market bidding involving renewable energy companies
Lefeng Cheng, Pan Peng, Wentian Lu, et al.
International Journal of Electrical Power & Energy Systems (2025) Vol. 167, pp. 110588-110588
Closed Access | Times Cited: 1

Short-term power load forecasting based on hybrid feature extraction and parallel BiLSTM network
Jiacai Han, Pan Zeng
Computers & Electrical Engineering (2024) Vol. 119, pp. 109631-109631
Closed Access | Times Cited: 4

1VMD-ATT-LSTM Electricity Price Prediction Based on Grey Wolf Optimization Algorithm in Electricity Markets Considering Renewable Energy
Yuzhen Xu, Xin Huang, Xidong Zheng, et al.
Renewable Energy (2024), pp. 121408-121408
Closed Access | Times Cited: 4

Towards Resilient Energy Infrastructures: A Comprehensive Review on the Role of Demand Response in Smart Grids
K H Akhila, Anju S. Pillai, Krishna Priya R, et al.
Sustainable Energy Technologies and Assessments (2025) Vol. 74, pp. 104170-104170
Closed Access

A Time Series Decomposition-Based Interpretable Electricity Price Forecasting Method
Yuanke Cu, Kaishu Wang, L. Zhang, et al.
Energies (2025) Vol. 18, Iss. 3, pp. 664-664
Open Access

A multi-stage fusion deep learning framework merging local patterns with attention-driven contextual dependencies for cancer detection
Hatice Çatal Reis, Veysel Turk
Computers in Biology and Medicine (2025) Vol. 189, pp. 109916-109916
Closed Access

Short-Term Forecasting of Electricity Price using Ensemble Deep. Kernel Based Random Vector Functional Link Network
Someswari Perla, Ranjeeta Bisoi, P.K. Dash, et al.
Applied Soft Computing (2025), pp. 113012-113012
Closed 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

Ai-powered digital twin in the industrial IoT
Željko Z. Bolbotinović, Saša Milić, Žarko Janda, et al.
International Journal of Electrical Power & Energy Systems (2025) Vol. 167, pp. 110656-110656
Closed Access

SolarNexus: A deep learning framework for adaptive photovoltaic power generation forecasting and scalable management
Hyunsik Min, Byeongjoon Noh
Applied Energy (2025) Vol. 391, pp. 125848-125848
Closed Access

A Hybrid Dual Stream ProbSparse Self-Attention Network for spatial–temporal photovoltaic power forecasting
Jingyin Pei, Yunxuan Dong, Peiting Guo, et al.
Energy (2024) Vol. 305, pp. 132152-132152
Closed Access | Times Cited: 3

Prediction of electricity consumption using an innovative deep energy predictor model for enhanced accuracy and efficiency
C. Ragupathi, S. Dhanasekaran, N. Vijayalakshmi, et al.
Energy Reports (2024) Vol. 12, pp. 5320-5337
Closed Access | Times Cited: 2

Economic determinants and forecasting of electricity demand in Cameroon: A policy-driven approach using multilinear regression
Théodore Patrice Nna Nna, Flavian Emmanuel Sapnken, Jean Gaston Tamba
Energy 360. (2024), pp. 100013-100013
Closed Access | Times Cited: 2

Improved Active and Reactive Energy Forecasting Using a Stacking Ensemble Approach: Steel Industry Case Study
Hamza Mubarak, M. J. Sanjari, Sascha Stegen, et al.
Energies (2023) Vol. 16, Iss. 21, pp. 7252-7252
Open Access | Times Cited: 5

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

Investigating Intelligent Forecasting and Optimization in Electrical Power Systems: A Comprehensive Review of Techniques and Applications
S.M. Sharifhosseini, Taher Niknam, M.H. Taabodi, et al.
Energies (2024) Vol. 17, Iss. 21, pp. 5385-5385
Open Access | Times Cited: 1

Digital Self-Interference Cancellation for Full-Duplex Systems Based on CNN and GRU
Jun‐Ping Liu, Tian Ding
Electronics (2024) Vol. 13, Iss. 15, pp. 3041-3041
Open Access

Camouflaged cotton bollworm instance segmentation based on PVT and Mask R-CNN
Kexin Meng, Kexin Xu, Piercarlo Cattani, et al.
Computers and Electronics in Agriculture (2024) Vol. 226, pp. 109450-109450
Closed Access

Forecasting Shifts in Europe's Renewable and Fossil Fuel Markets Using Deep Learning Methods
Yonghong Liu, Muhammad S. Saleem, Javed Rashid, et al.
Energy Science & Engineering (2024)
Open Access

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