OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Electricity market price forecasting using ELM and Bootstrap analysis: A case study of the German and Finnish Day-Ahead markets
Stylianos Loizidis, Andreas Kyprianou, George E. Georghiou
Applied Energy (2024) Vol. 363, pp. 123058-123058
Open Access | Times Cited: 14

Showing 14 citing articles:

Prediction of Ultra-Short Term Electricity Price Interval in Electricity Market Based on MIC-LSSVM-ABKDE
Fei He, Shuaibo Zhang
Lecture notes in electrical engineering (2025), pp. 219-229
Closed Access | Times Cited: 1

Outlier-adaptive-based non-crossing quantiles method for day-ahead electricity price forecasting
Zhengganzhe Chen, Bin Zhang, Chenglong Du, et al.
Applied Energy (2025) Vol. 382, pp. 125328-125328
Closed Access

MLP-Carbon: A new paradigm integrating multi-frequency and multi-scale techniques for accurate carbon price forecasting
Zhirui Tian, Wei Sun, Chenye Wu
Applied Energy (2025) Vol. 383, pp. 125330-125330
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 Novel Forecasting Framework Leveraging Large Language Model and Machine Learning for Methanol Price
Wenyang Wang, Yuping Luo, Mingrui Ma, et al.
Energy (2025), pp. 135123-135123
Closed Access

A Deep Learning Approach Based on Novel Multi-Feature Fusion for Power Load Prediction
Ling Xiao, Ruofan An, Xue Zhang
Processes (2024) Vol. 12, Iss. 4, pp. 793-793
Open Access | Times Cited: 2

A Novel Method for Full-Section Assessment of High-Speed Railway Subgrade Compaction Quality Based on ML-Interval Prediction Theory
Zhixing Deng, Wubin Wang, Linrong Xu, et al.
Sensors (2024) Vol. 24, Iss. 11, pp. 3661-3661
Open 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

Page 1

Scroll to top