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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:

Diagnosis of building energy consumption in the 2012 CBECS data using heterogeneous effect of energy variables: A recursive partitioning approach
Doowon Choi, Chul Kim
Building Simulation (2021) Vol. 14, Iss. 6, pp. 1737-1755
Closed Access | Times Cited: 10

Showing 10 citing articles:

Principles, research status, and prospects of feature engineering for data-driven building energy prediction: A comprehensive review
Zeyu Wang, Lisha Xia, Hongping Yuan, et al.
Journal of Building Engineering (2022) Vol. 58, pp. 105028-105028
Closed Access | Times Cited: 49
Exploring the Benefits and Limitations of Digital Twin Technology in Building Energy
Faham Tahmasebinia, Lin Lin, Shuo Wu, et al.
Applied Sciences (2023) Vol. 13, Iss. 15, pp. 8814-8814
Open Access | Times Cited: 38
Analysis and prediction of carbon emission in the large green commercial building: A case study in Dalian, China
Yuan Su, Haoyuan Cheng, Zhe Wang, et al.
Journal of Building Engineering (2023) Vol. 68, pp. 106147-106147
Closed Access | Times Cited: 21
Identifying the most influential parameters in predicting lighting energy consumption in office buildings using data-driven method
Seddigheh Norouziasl, Amirhosein Jafari
Journal of Building Engineering (2023) Vol. 72, pp. 106590-106590
Closed Access | Times Cited: 16
Benchmarking building energy consumption for space heating using an empirical Bayesian approach with urban-scale energy model
Wei Na, Shuaihui Liu
Energy and Buildings (2024) Vol. 320, pp. 114581-114581
Closed Access | Times Cited: 4
A holistic time series-based energy benchmarking framework for applications in large stocks of buildings
Marco Savino Piscitelli, Rocco Giudice, Alfonso Capozzoli
Applied Energy (2023) Vol. 357, pp. 122550-122550
Open Access | Times Cited: 6
Identifying salient features of cooling energy usage of commercial buildings using explainable artificial intelligence
Lakmini Rangana Senarathne, Gaurav Nanda, Raji Sundararajan
Advances in Building Energy Research (2023) Vol. 17, Iss. 5, pp. 489-506
Closed Access | Times Cited: 2
Benchmarking Building Energy Consumption for Space Heating Using an Empirical Bayesian Approach with Urban-Scale Energy Model
Wei NA, Shuaihui Liu
(2024)
Closed Access
A data-driven approach to discover hidden complicated relationships of energy variables and estimate energy consumption in U.S. homes
Doowon Choi, Chul Kim
Building and Environment (2024) Vol. 267, pp. 112175-112175
Closed Access
An Empirical Bayesian Approach for Calibrating Long-Term District-Scale Building Energy Consumption for Heating
Wei NA, Xiaoke Zhang, Pinyan Liu, et al.
SSRN Electronic Journal (2022)
Closed Access
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