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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:

Long-Term Demand Forecasting in a Scenario of Energy Transition
Rafael Sánchez-Durán, J. Luque, Julio Barbancho
Energies (2019) Vol. 12, Iss. 16, pp. 3095-3095
Open Access | Times Cited: 23

Showing 23 citing articles:

Industry 4.0 and demand forecasting of the energy supply chain: A literature review
Ali Roozbeh Nia, Anjali Awasthi, Nadia Bhuiyan
Computers & Industrial Engineering (2021) Vol. 154, pp. 107128-107128
Closed Access | Times Cited: 75
The recursive grey model and its application
Lianyi Liu, Sifeng Liu, Zhigeng Fang, et al.
Applied Mathematical Modelling (2023) Vol. 119, pp. 447-464
Closed Access | Times Cited: 28
A comprehensive benchmark of machine learning-based algorithms for medium-term electric vehicle charging demand prediction
Ömer Can Tolun, Kasım Zor, Önder Tutsoy
The Journal of Supercomputing (2025) Vol. 81, Iss. 3
Open Access | Times Cited: 1
Changing Energy Suppliers of Residential Consumers: The Case of Poland
Agnieszka Parkitna, Magdalena Gądek, Kamila Urbańska, et al.
Management (2025) Vol. 28, Iss. 2, pp. 271-300
Open Access
The role of biomass to address global energy and environmental challenges
Manuel Raúl Peláez-Samaniego, Aidan Garcia, Lina Martínez-Valencia, et al.
Elsevier eBooks (2025), pp. 1-31
Closed Access
AI-Assisted approach for building energy and carbon footprint modeling
Chih‐Yen Chen, Kok Keong Chai, Ethan Lau
Energy and AI (2021) Vol. 5, pp. 100091-100091
Open Access | Times Cited: 23
Spectral Analysis of Electricity Demand Using Hilbert–Huang Transform
J. Luque, Davide Anguita, Francisco Martos, et al.
Sensors (2020) Vol. 20, Iss. 10, pp. 2912-2912
Open Access | Times Cited: 19
Evaluation of Implementation of Biomass and Solar Resources by Energy Systems in the Coal-Mining Areas of Spain
Beatriz M. Paredes–Sánchez, José P. Paredes–Sánchez, P.J. Garcı́a Nieto
Energies (2021) Vol. 15, Iss. 1, pp. 232-232
Open Access | Times Cited: 15
The Use of Prospect Theory for Energy Sustainable Industry 4.0
Aldona Kluczek, Patrycja Żegleń, Daniela Matušíková
Energies (2021) Vol. 14, Iss. 22, pp. 7694-7694
Open Access | Times Cited: 14
Energy Intensity Forecasting Models for Manufacturing Industries of “Catching Up” Economies: Lithuanian Case
Egidijus Norvaiša, Viktorija Bobinaitė, Inga Konstantinavičiūtė, et al.
Energies (2024) Vol. 17, Iss. 12, pp. 2860-2860
Open Access | Times Cited: 1
A Time Series Sustainability Assessment of a Partial Energy Portfolio Transition
Jacob Hale, Suzanna Long
Energies (2020) Vol. 14, Iss. 1, pp. 141-141
Open Access | Times Cited: 12
Energy Multiphase Model for Biocoal Conversion Systems by Means of a Nodal Network
Beatriz M. Paredes–Sánchez, José P. Paredes–Sánchez, P.J. Garcı́a Nieto
Energies (2020) Vol. 13, Iss. 11, pp. 2728-2728
Open Access | Times Cited: 10
Monthly Electricity Demand Patterns and Their Relationship With the Economic Sector and Geographic Location
J. Luque, Enrique Personal, Antonio García, et al.
IEEE Access (2021) Vol. 9, pp. 86254-86267
Open Access | Times Cited: 8
Methods for Mid-Term Forecasting of Crop Export and Production
Dmitry Devyatkin, Yulia Otmakhova
Applied Sciences (2021) Vol. 11, Iss. 22, pp. 10973-10973
Open Access | Times Cited: 7
Low-dimensional representation of monthly electricity demand profiles
J. Luque, Enrique Personal, F.J. Pérez, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 119, pp. 105728-105728
Open Access | Times Cited: 4
Very Short-Term Reactive Power Forecasting Using Machine Learning-Based Algorithms
Gülizar Gizem Tolun, Kasım Zor
(2024), pp. 1-5
Closed Access
Recover value materials from waste photovoltaic modules as secondary resource: Layer separation by eco-friendly reagent DMC combined pyrolysis
G. F. Xu, Shuai Lv, Le Wang, et al.
Solar Energy Materials and Solar Cells (2024) Vol. 279, pp. 113282-113282
Closed Access
Erosion Behavior of Sandstone Treated by CO2 Soaking under Pulsed Abrasive Supercritical CO2 Jet Impact
Chaoyu Xu, Xiaochuan Wang, Deng Li, et al.
Energy & Fuels (2024)
Closed Access
Oil Demand Forecasting in Importing and Exporting Countries: AI-Based Analysis of Endogenous and Exogenous Factors
Hui Zhu
Sustainability (2023) Vol. 15, Iss. 18, pp. 13592-13592
Open Access | Times Cited: 1
Asymmetric Loss Functions for Contract Capacity Optimization
Jun-Lin Lin, Yiqing Zhang, Kunhuang Zhu, et al.
Energies (2020) Vol. 13, Iss. 12, pp. 3123-3123
Open Access | Times Cited: 1
Smart Energy Trend Observation
Ran Wei, Gao Y, Zhihua Wu, et al.
Springer eBooks (2021), pp. 797-838
Closed Access | Times Cited: 1
Long-term Monthly Energy and Peak Demand Forecasting Based on Sequential-XGBoost
Tingze Zhang, Xinan Zhang, Herbert Ho‐Ching Iu, et al.
2022 IEEE 4th International Conference on Power, Intelligent Computing and Systems (ICPICS) (2023), pp. 157-162
Closed Access
Intelligent Room-Based Identification of Electricity Consumption with an Ensemble Learning Method in Smart Energy
Vincent Le, Joshua Ramirez, Miltiadis Alamaniotis
Energies (2021) Vol. 14, Iss. 20, pp. 6717-6717
Open Access
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