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 Review of Data-Driven Building Energy Prediction
Huiheng Liu, Jin Rui Liang, Yanchen Liu, et al.
Buildings (2023) Vol. 13, Iss. 2, pp. 532-532
Open Access | Times Cited: 23

Showing 23 citing articles:

Quantifying the Influence of Different Block Types on the Urban Heat Risk in High-Density Cities
Binwei Zou, Chengliang Fan, Jianjun Li
Buildings (2024) Vol. 14, Iss. 7, pp. 2131-2131
Open Access | Times Cited: 5

Enhancing Building Energy Efficiency: An Integrated Approach to Predicting Heating and Cooling Loads using Machine Learning and Optimization Algorithms
Tianfei Gao, Xu Han, J. Wang, et al.
Journal of Building Engineering (2024), pp. 110759-110759
Closed Access | Times Cited: 5

Machine learning application in building energy consumption prediction: A comprehensive review
Jingsong Ji, Hao Yu, Xudong Wang, et al.
Journal of Building Engineering (2025), pp. 112295-112295
Closed Access

Prediction of dynamic behaviors of vibrational-powered electromagnetic generators: Synergies between analytical and artificial intelligence modelling
João V. Vidal, Tiago M.S.L. Fonte, Luís Seabra Lopes, et al.
Applied Energy (2024) Vol. 376, pp. 124302-124302
Open Access | Times Cited: 4

Geometric Data in Urban Building Energy Modeling: Current Practices and the Case for Automation
Shima Norouzi Kandelan, N. Mohammed, Kuljeet Singh, et al.
Journal of Building Engineering (2024), pp. 110836-110836
Open Access | Times Cited: 2

Optimizing Energy Efficiency Through Building Orientation and Building Information Modelling (BIM) in Diverse Terrains: A Case Study in Pakistan
Abdul Mateen Khan, Muhammad Abubakar Tariq, Zeshan Alam, et al.
Energy (2024), pp. 133307-133307
Closed Access | Times Cited: 2

Artificial intelligence-based strategies for sustainable energy planning and electricity demand estimation: A systematic review
Julius Adinkrah, Francis Kemausuor, Eric Tutu Tchao, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 210, pp. 115161-115161
Closed Access | Times Cited: 2

Characterization of Household Electricity Consumption in Uruguay
Pablo Llagueiro, Rodrigo Porteiro, Sergio Nesmachnow
Communications in computer and information science (2024), pp. 33-47
Closed Access | Times Cited: 1

Restrictions and alternatives for the development data-based energy prediction models in buildings located in tropical climate: Literature review
Jorge Cárdenas-Rangel, Julián Jaramillo-Ibarra, Germán Osma-Pinto
Building and Environment (2024) Vol. 262, pp. 111786-111786
Closed Access | Times Cited: 1

A novel optimized hybrid machine learning model to enhance the prediction accuracy of hourly building energy consumption
Rajasekar Thota, Nidul Sinha
Energy Sources Part A Recovery Utilization and Environmental Effects (2024) Vol. 46, Iss. 1, pp. 9112-9135
Closed Access | Times Cited: 1

An Energy Consumption Forecasting Tool for Buildings Based on Multivariate Deep Neural Network Model
Gabriel Antonesi, Tudor Cioara, Ionuț Anghel, et al.
(2024), pp. 337-342
Closed Access | Times Cited: 1

Research on collaborative reconstruction method of missing data and abnormal data in Air Handling Units (AHU)system
Peng Wang, Da Chen, Xin Meng, et al.
Journal of Building Engineering (2024), pp. 111414-111414
Closed Access | Times Cited: 1

Electricity consumption prediction - A case study of a university library
Wei Tong Chen, Chih Hsing Wang, Hew Cameron Merrett, et al.
Journal of Building Engineering (2023) Vol. 76, pp. 106990-106990
Closed Access | Times Cited: 4

A Machine Learning Pipeline to Forecast the Electricity and Heat Consumption in a City District
Gabriel Antonesi, Tudor Cioara, Liana Toderean, et al.
Buildings (2023) Vol. 13, Iss. 6, pp. 1407-1407
Open Access | Times Cited: 4

Data-Driven Residence Energy Consumption Prediction Model Considering Water Use Data and Socio-Demographic Data
Lei Shu, Dong Zhao
Construction Research Congress 2022 (2024), pp. 497-505
Closed Access

Predicting Building Energy Consumption Based On A Hybrid Neural Network Model
Zhiyuan Gao, Xuewei Zhang, Changsheng Wang, et al.
(2024)
Closed Access

Explorations of Integrated Multi-Energy Strategy under Energy Simulation by DeST 3.0: A Case Study of College Dining Hall
Yu Niu, Yingying Xiong, Lin Chai, et al.
Sustainability (2024) Vol. 16, Iss. 14, pp. 6222-6222
Open Access

Comparison of Transfer Learning Techniques for Building Energy Forecasting
Shansita Das Sharma, Austin Coursey, Marcos Quiñones-Grueiro, et al.
IFAC-PapersOnLine (2024) Vol. 58, Iss. 4, pp. 180-185
Open Access

Energy consumption characteristic analysis and multi-source instance transfer prediction based on chiller operational data
Mengru Liu, Yingjun Ruan, Qian Fanyue, et al.
Building Simulation Conference proceedings (2023) Vol. 18
Open Access | Times Cited: 1

Modelling of Automated Store Energy Consumption
Konrad Gac, Grzegorz Góra, Maciej Petko, et al.
Energies (2023) Vol. 16, Iss. 24, pp. 7969-7969
Open Access

Machine Learning Methods to Increase the Energy Efficiency of Buildings
Oleksandr Vyshnevskyy, Л. М. Журавчак
Vìsnik Nacìonalʹnogo unìversitetu Lʹvìvsʹka polìtehnìka Serìâ Ìnformacìjnì sistemi ta merežì (2023) Vol. 14, pp. 189-209
Closed Access

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