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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:

Transfer learning integrating similarity analysis for short-term and long-term building energy consumption prediction
Zhuoqun Xing, Yiqun Pan, Yiting Yang, et al.
Applied Energy (2024) Vol. 365, pp. 123276-123276
Closed Access | Times Cited: 10

Showing 10 citing articles:

A scalable approach for real-world implementation of deep reinforcement learning controllers in buildings based on online transfer learning: the HiLo case study
Davide Coraci, Alberto Silvestri, Giuseppe Razzano, et al.
Energy and Buildings (2025) Vol. 329, pp. 115254-115254
Open Access | Times Cited: 2
Optimizing the sustainable performance of public buildings: A hybrid machine learning algorithm
Wen Xu, Xianguo Wu, Shishu Xiong, et al.
Energy (2025), pp. 135283-135283
Closed Access | Times Cited: 1
Edge computing and transfer learning-based short-term load forecasting for residential and commercial buildings
Muhammad Sajid Iqbal, Muhammad Adnan
Energy and Buildings (2025) Vol. 329, pp. 115273-115273
Closed Access
Law of conservation-guided neural network with gradient aggregation for improved energy efficiency optimization in industrial processes
Santi Bardeeniz, Chanin Panjapornpon, Moonyong Lee
Energy and AI (2025), pp. 100475-100475
Open Access
A novel temporal domain adaptation framework for residential electricity consumption forecasting under incomplete information
Sheng Li, Xiaoxiao Xu, Yadong Xu, et al.
Energy and Buildings (2025), pp. 115513-115513
Closed Access
Transfer Learning on Transformers for Building Energy Consumption Forecasting - A Comparative Study
Robert Spencer, Surangika Ranathunga, Mikael Boulic, et al.
Energy and Buildings (2025), pp. 115632-115632
Open Access
A Medium- and Long-Term Residential Load Forecasting Method Based on Discrete Cosine Transform-FEDformer
Dengao Li, Qi Liu, Ding Feng, et al.
Energies (2024) Vol. 17, Iss. 15, pp. 3676-3676
Open Access | Times Cited: 2
Demand response optimization for smart grid integrated buildings: Review of technology enablers landscape and innovation challenges
Liana Toderean, Tudor Cioara, Ionuț Anghel, et al.
Energy and Buildings (2024) Vol. 326, pp. 115067-115067
Closed Access | Times Cited: 2
K-PCD: A new clustering algorithm for building energy consumption time series analysis and predicting model accuracy improvement
Hao Yang, Maoyu Ran, Haibo Feng, et al.
Applied Energy (2024) Vol. 377, pp. 124584-124584
Closed Access | Times Cited: 1
Improving the accuracy and interpretability of multi-scenario building energy consumption prediction considering characteristics of training dataset
Haizhou Fang, Hongwei Tan, Xiaolei Yuan, et al.
Energy and Buildings (2024), pp. 114912-114912
Closed Access | Times Cited: 1
A recommendation model for optimizing transfer learning hyper-parameter settings in building heat load prediction with limited data samples
Di Bai, Shuo Ma, Xiaochen Yang, et al.
Energy and Buildings (2024) Vol. 325, pp. 115021-115021
Closed Access
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