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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:

A Physical Model-Based Data-Driven Approach to Overcome Data Scarcity and Predict Building Energy Consumption
Kyoungcheol Oh, Eui-Jong Kim, Chang-Young Park
Sustainability (2022) Vol. 14, Iss. 15, pp. 9464-9464
Open Access | Times Cited: 13

Showing 13 citing articles:

Building digital twinning: Data, information, and models
Sungmin Yoon
Journal of Building Engineering (2023) Vol. 76, pp. 107021-107021
Open Access | Times Cited: 38
Towards Digital Twin Modeling and Applications for Permanent Magnet Synchronous Motors
Grace Firsta Lukman, Cheewoo Lee
Energies (2025) Vol. 18, Iss. 4, pp. 956-956
Open Access
A Rapid Bridge Crack Detection Method Based on Deep Learning
Yifan Liu, Weiliang Gao, Tingting Zhao, et al.
Applied Sciences (2023) Vol. 13, Iss. 17, pp. 9878-9878
Open Access | Times Cited: 9
Advancing industrial building energy measurement and verification (M&V) with deep learning: Evaluating data size and feature selection impact
Suziee Sukarti, Mohamad Fani Sulaima, Aida Fazliana Abdul Kadir, et al.
Energy and Buildings (2024) Vol. 319, pp. 114457-114457
Closed Access | Times Cited: 2
Review of data-driven models for quantifying load shed by non-residential buildings in the United States
Yashvi Malhotra, Ben Polly, Jason MacDonald, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 206, pp. 114870-114870
Closed Access | Times Cited: 1
Wind Power Forecasting Based on WaveNet and Multitask Learning
Hao Wang, Peng Chen, Bolin Liao, et al.
Sustainability (2023) Vol. 15, Iss. 14, pp. 10816-10816
Open Access | Times Cited: 4
A review of physics-informed machine learning for building energy modeling
Zhihao Ma, Gang Yi Jiang, Yuqing Hu, et al.
Applied Energy (2024) Vol. 381, pp. 125169-125169
Closed Access | Times Cited: 1
Simulation-Based Engineering of Heterogeneous Collaborative Systems—A Novel Conceptual Framework
Ana Perišić, Ines Perišić, Branko Perišić
Sustainability (2023) Vol. 15, Iss. 11, pp. 8804-8804
Open Access | Times Cited: 3
Component model calibration using typical AHU data for improved prediction of daily heat source energy consumption
Ju-Hong Oh, Seung‐Hoon Park, Eui-Jong Kim
Journal of Building Engineering (2023) Vol. 76, pp. 107376-107376
Closed Access | Times Cited: 3
An inverse-problem approach to simulating smart control of domestic electric hot water cylinders using electricity demand time-series data.
Aminat Razaq, Michael W. Jack
Energy and Buildings (2022) Vol. 278, pp. 112644-112644
Closed Access | Times Cited: 3
Hybrid modeling based on integrating simulation and operational data to improve indoor air temperature predictions, a controlled variable in digital twin models
Ju-Hong Oh, Стефано Сфарра, Eui-Jong Kim
Energy and Buildings (2024) Vol. 324, pp. 114898-114898
Closed Access
Hourly Building Energy Consumption Prediction Using a Training Sample Selection Method Based on Key Feature Search
Haizhou Fang, Hongwei Tan, Ningfang Dai, et al.
Sustainability (2023) Vol. 15, Iss. 9, pp. 7458-7458
Open Access | Times Cited: 1
Synthetic Electricity Consumption Data Generation Using Tabular Generative Adversarial Networks
Thet Paing Tun, Ioana Pisică
2022 57th International Universities Power Engineering Conference (UPEC) (2023), pp. 1-6
Closed Access
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