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:

An ensemble-based approach for short-term load forecasting for buildings with high proportion of renewable energy sources
Abrar Shahriar Pramanik, Saeed Sepasi, Tung Lam Nguyen, et al.
Energy and Buildings (2024) Vol. 308, pp. 113996-113996
Closed Access | Times Cited: 7

Showing 7 citing articles:

Short-term building electricity load forecasting with a hybrid deep learning method
Wenhao Chen, Rong Fei, Chuan Lin
Energy and Buildings (2025), pp. 115342-115342
Closed Access

Mid-Long-Term Power Load Forecasting of Building Group Based on Modified NGO
Y.L. Li, Qiang Zhou, Xinhui Zhang, et al.
Energies (2025) Vol. 18, Iss. 3, pp. 668-668
Open Access

A comprehensive review and future research directions of ensemble learning models for predicting building energy consumption
Zeyu Wang, Yuelan Hong, Luying Huang, et al.
Energy and Buildings (2025), pp. 115589-115589
Closed Access

Operational Strategy of a DC Inverter Heat Pump System Considering PV Power Fluctuation and Demand-Side Load Characteristics
Yilin Li, Yang Lu, Jie Sun, et al.
Buildings (2024) Vol. 14, Iss. 4, pp. 1139-1139
Open Access | Times Cited: 3

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 comparative analysis of machine learning techniques for building cooling load prediction
Saeideh Havaeji, Pouya Ghanizadeh Anganeh, Mehdi Torbat Esfahani, et al.
Journal of Building Pathology and Rehabilitation (2024) Vol. 9, Iss. 2
Closed Access

Based on the improved fuzzy analytic hierarchy and the TSE-MLR model energy consumption prediction of university: A case study
Xiaohong Chen, Xiaobo Peng, Yanzi Li, et al.
Heliyon (2024) Vol. 10, Iss. 17, pp. e36979-e36979
Open Access

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