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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:

Explainability and Interpretability in Electric Load Forecasting Using Machine Learning Techniques – A Review
Lukas Baur, Konstantin Ditschuneit, Maximilian Schambach, et al.
Energy and AI (2024) Vol. 16, pp. 100358-100358
Open Access | Times Cited: 19

Showing 19 citing articles:

Optimal load forecasting and scheduling strategies for smart homes peer-to-peer energy networks: A comprehensive survey with critical simulation analysis
Ali Raza, Jingzhao Li, Muhammad Adnan, et al.
Results in Engineering (2024) Vol. 22, pp. 102188-102188
Open Access | Times Cited: 19
A closer look at the explainability of Contrastive language-image pre-training
Yi Li, Hualiang Wang, Yiqun Duan, et al.
Pattern Recognition (2025), pp. 111409-111409
Closed Access | Times Cited: 2
Emerging Semiconductor Ionic Materials Tailored by Mixed Ionic-Electronic Conductors for Advanced Fuel Cells
Bushra Bibi, Atif Nazar, Bin Zhu, et al.
Advanced Powder Materials (2024), pp. 100231-100231
Open Access | Times Cited: 7
Machine learning Approach to Battery Management and Balancing Techniques for Enhancing Electric Vehicle Battery Performance
Basavaraju Bennehalli
Deleted Journal (2024) Vol. 20, Iss. 2s, pp. 885-892
Open Access | Times Cited: 6
An Ensemble Approach to Predict a Sustainable Energy Plan for London Households
Niraj Buyo, Akbar Sheikh-Akbari, Farrukh Saleem
Sustainability (2025) Vol. 17, Iss. 2, pp. 500-500
Open Access
Contextual Background Estimation for Explainable AI in Temperature Prediction
Bartosz Szóstak, Rafał Doroz, Michael Märker
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1057-1057
Open Access
Explainable multi-step heating load forecasting: Using SHAP values and temporal attention mechanisms for enhanced interpretability
Alexander Neubauer, Stefan Brandt, Martin Kriegel
Energy and AI (2025), pp. 100480-100480
Open Access
Assessing the Impact of Wood Stoves on the Aggregated Electricity Hourly Load Profile of Norwegian Detached Houses
Abolfazl Mohammadabadi, Øyvind Skreiberg, Laurent Georges
Energy and Buildings (2025), pp. 115548-115548
Open Access
Long Short‐Term Memory Wavelet Neural Network for Renewable Energy Generation Forecasting
Eliana Vivas, Héctor Allende‐Cid, Lelys Bravo de Guenni, et al.
International Journal of Intelligent Systems (2025) Vol. 2025, Iss. 1
Open Access
The Safety Risks of AI-Driven Solutions in Autonomous Road Vehicles
Farshad Mirzarazi, Sebelan Danishvar, Ali Mousavi
World Electric Vehicle Journal (2024) Vol. 15, Iss. 10, pp. 438-438
Open Access | Times Cited: 2
An artificial intelligence framework for explainable drift detection in energy forecasting
Chamod Samarajeewa, Daswin De Silva, Milos Manic, et al.
Energy and AI (2024) Vol. 17, pp. 100403-100403
Open Access | Times Cited: 1
A Survey on Machine Learning Applications in Renewable Energies Forecasting
Milad Mohabbati
Power systems (2024), pp. 305-326
Closed Access | Times Cited: 1
Medium-Term Load Forecasting with Power Market Survey: GEPCO Case Study
Sheeza Mariam Nawaz, Ubaid Ahmed, Adil Amin, et al.
Academia green energy. (2024) Vol. 1, Iss. 1
Open Access
Scalable and Interpretable Forecasting of Hydrological Time Series Based on Variational Gaussian Processes
Julián David Pastrana-Cortés, Julian Gil-González, Andrés Marino Álvarez-Meza, et al.
Water (2024) Vol. 16, Iss. 14, pp. 2006-2006
Open Access
Deriving Input Variables through Applied Machine Learning for Short-Term Electric Load Forecasting in Eskilstuna, Sweden
Pontus Netzell, Hussain Kazmi, Konstantinos Kyprianidis
Energies (2024) Vol. 17, Iss. 10, pp. 2246-2246
Open Access
Short-Term Power Load Forecasting Method Based on Time Convolutional Neural Network for HPLC High Frequency Data Acquisition
Chuanquan Liu, Chuan Li, Jun Wei, et al.
(2024) Vol. 219, pp. 659-664
Closed Access
On the use of Kolmogorov–Arnold Networks for Adapting Wind Numerical Weather Forecasts with Explainability and Interpretability: Application to Madeira International Airport
Décio Alves, Fábio Mendonça, Sheikh Shanawaz Mostafa, et al.
Environmental Research Communications (2024) Vol. 6, Iss. 10, pp. 105008-105008
Open Access
Temporal clustering for accurate short-term load forecasting using Bayesian multiple linear regression
Vladimir Urošević, Andrej M. Savić
Applied Intelligence (2024) Vol. 55, Iss. 1
Closed Access
Electricity Load Forecasting using Hybrid Datasets with Linear Interpolation and Synthetic Data
Karma P. Dorji, Sorawut Jittanon, Prapita Thanarak, et al.
Engineering Technology & Applied Science Research (2024) Vol. 14, Iss. 6, pp. 17931-17938
Open Access
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