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.

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Showing 17 citing articles:

Enhancing wind speed forecasting through synergy of machine learning, singular spectral analysis, and variational mode decomposition
Sinvaldo Rodrigues Moreno, Laio Oriel Seman, Stéfano Frizzo Stefenon, et al.
Energy (2024) Vol. 292, pp. 130493-130493
Closed Access | Times Cited: 44

BE-LSTM: An LSTM-Based Framework for Feature Selection and Building Electricity Consumption Prediction on Small Datasets
Weihao Wang, Hajime Shimakawa, Bo Jie, et al.
Journal of Building Engineering (2025), pp. 111910-111910
Closed Access | Times Cited: 1

Enhancing multi-scenario data-driven energy consumption prediction in campus buildings by selecting appropriate inputs and improving algorithms with attention mechanisms
Chengyu Zhang, Zhiwen Luo, Yacine Rezgui, et al.
Energy and Buildings (2024) Vol. 311, pp. 114133-114133
Closed Access | Times Cited: 7

Optimizing electric vehicle charging in distribution networks: A dynamic pricing approach using internet of things and Bi-directional LSTM model
P. Balakumar, Senthil Kumar R, Vinopraba Thirumavalavan
Energy (2024) Vol. 294, pp. 130815-130815
Closed Access | Times Cited: 5

Energy consumption prediction and energy-saving suggestions of public buildings based on machine learning
Cheng Chen, Zhiming Gao, Xuan Zhou, et al.
Energy and Buildings (2024) Vol. 320, pp. 114585-114585
Closed Access | Times Cited: 5

Simultaneous community energy supply-demand optimization by microgrid operation scheduling optimization and occupant-oriented flexible energy-use regulation
Chengyu Zhang, Yacine Rezgui, Zhiwen Luo, et al.
Applied Energy (2024) Vol. 373, pp. 123922-123922
Closed Access | Times Cited: 4

Sensitivity analysis and comparative assessment of novel hybridized boosting method for forecasting the power consumption
Jing Zhou, Qingdong Wang, Hamed Khajavi, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123631-123631
Closed Access | Times Cited: 2

An Enhanced Particle Swarm Optimization Long Short-Term Memory Network Hybrid Model for Predicting Residential Daily CO2 Emissions
Yuyi Hu, Bojun Wang, Yanping Yang, et al.
Sustainability (2024) Vol. 16, Iss. 20, pp. 8790-8790
Open Access | Times Cited: 2

Building electrical load forecasting with occupancy data based on wireless sensing
Chi Liu, Zhezhuang Xu, Meng Yuan, et al.
Applied Energy (2024) Vol. 380, pp. 124960-124960
Closed Access | Times Cited: 1

Residual BiLSTM based hybrid model for short-term load forecasting in buildings
Jiacai Han, Pan Zeng
Journal of Building Engineering (2024), pp. 111593-111593
Closed Access | Times Cited: 1

Multi-strategy modified sparrow search algorithm for hyperparameter optimization in arbitrage prediction models
S Cheng, Panke Qin, Baoyun Lu, et al.
PLoS ONE (2024) Vol. 19, Iss. 5, pp. e0303688-e0303688
Open Access | Times Cited: 1

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

Long-term analysis of cooling demand and heat recovery in hotel HVAC systems: Implications for sustainable chiller design and operation to reduce CO2 emissions
F.W. Yu, Wai Tung Ho, Chak Fung Jeff Wong
Energy and Buildings (2024) Vol. 321, pp. 114657-114657
Closed Access

A hybrid forecasting model for general hospital electricity consumption based on mixed signal decomposition
Anjun Zhao, Mengya Chen, Wei Quan, et al.
Energy and Buildings (2024) Vol. 325, pp. 115006-115006
Closed Access

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