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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 hybrid agent-based machine learning method for human-centred energy consumption prediction
Qingyao Qiao, Akilu Yunusa‐Kaltungo
Energy and Buildings (2023) Vol. 283, pp. 112797-112797
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Environmental performance evaluation of electric enterprises during a power crisis: Evidence from DEA methods and AI prediction algorithms
Yinghao Pan, Chaochao Zhang, Chien‐Chiang Lee, et al.
Energy Economics (2024) Vol. 130, pp. 107285-107285
Closed Access | Times Cited: 65
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: 40
A systematic review and comprehensive analysis of building occupancy prediction
Tao Li, Xiangyu Liu, Guannan Li, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 193, pp. 114284-114284
Closed Access | Times Cited: 18
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 office building energy efficiency: neural network-based prediction of energy consumption
Saeed Momeni, Ayda Eghbalian, Mohammad Talebzadeh, et al.
Journal of Building Pathology and Rehabilitation (2024) Vol. 9, Iss. 1
Closed Access | Times Cited: 7
State-of-the-art review of occupant behavior modeling and implementation in building performance simulation
Omar Z. Ahmed, Nurettin Sezer, Mohamed Ouf, et al.
Renewable and Sustainable Energy Reviews (2023) Vol. 185, pp. 113558-113558
Open Access | Times Cited: 17
Machine Learning for Healthcare-IoT Security: A Review and Risk Mitigation
Mirza Akhi Khatun, Sanober Farheen Memon, Ciarán Eising, et al.
IEEE Access (2023) Vol. 11, pp. 145869-145896
Open Access | Times Cited: 17
An interpretable multi-stage forecasting framework for energy consumption and CO2 emissions for the transportation sector
Qingyao Qiao, Hamidreza Eskandari, Hassan Saadatmand, et al.
Energy (2023) Vol. 286, pp. 129499-129499
Open Access | Times Cited: 16
Developing a machine learning based building energy consumption prediction approach using limited data: Boruta feature selection and empirical mode decomposition
Qingyao Qiao, Akilu Yunusa‐Kaltungo, R. E. Edwards
Energy Reports (2023) Vol. 9, pp. 3643-3660
Open Access | Times Cited: 15
Current scenario of machine learning applications to hydrothermal liquefaction via bibliometric analysis
Tossapon Katongtung, Somboon Sukpancharoen, Sakprayut Sinthupinyo, et al.
F1000Research (2025) Vol. 13, pp. 1131-1131
Open Access
Agent-based modeling: Insights into consumer behavior, urban dynamics, grid management, and market interactions
Sambeet Mishra, Thiago Christiano Silva, Lars Hellemo, et al.
Energy Strategy Reviews (2025) Vol. 57, pp. 101613-101613
Open Access
Deep Learning-Based Energy Consumption Prediction Model for Green Industrial Parks
Chaoan Lai, Yina Wang, Jianhua Zhu, et al.
Applied Artificial Intelligence (2025) Vol. 39, Iss. 1
Open Access
A review of the influencing factors of building energy consumption and the prediction and optimization of energy consumption
Zhongjiao Ma, Z. Yan, M. He, et al.
AIMS energy (2025) Vol. 13, Iss. 1, pp. 35-85
Open Access
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
Current scenario of machine learning applications to hydrothermal liquefaction via bibliometric analysis
Tossapon Katongtung, Somboon Sukpancharoen, Sakprayut Sinthupinyo, et al.
F1000Research (2025) Vol. 13, pp. 1131-1131
Open Access
Improving building energy consumption prediction using occupant-building interaction inputs and improved swarm intelligent algorithms
Chengyu Zhang, Liangdong Ma, Han Xing, et al.
Journal of Building Engineering (2023) Vol. 73, pp. 106671-106671
Open Access | Times Cited: 12
A Sustainability Evaluation of Buildings: A Review on Sustainability Factors to Move towards a Greener City Environment
Lee Won Park, Keonhee Cho, Myeong-in Choi
Buildings (2024) Vol. 14, Iss. 2, pp. 446-446
Open Access | Times Cited: 3
Predicting occupant energy consumption in different indoor layout configurations using a hybrid agent-based modeling and machine learning approach
Mohammad Nyme Uddin, Minhyun Lee, Xuerong Cui, et al.
Energy and Buildings (2024), pp. 115102-115102
Closed Access | Times Cited: 2
A review of validation methods for building energy modeling programs
Xin Zhou, Ruoxi Liu, Shuai Tian, et al.
Building Simulation (2023) Vol. 16, Iss. 11, pp. 2027-2047
Closed Access | Times Cited: 5
Comparing different approaches of agent-based occupancy modelling for predicting realistic electricity consumption in office buildings
Md. Shadab Mashuk, James Pinchin, Peer‐Olaf Siebers, et al.
Journal of Building Engineering (2023) Vol. 84, pp. 108420-108420
Open Access | Times Cited: 3
An interactive agent-based modelling framework for assessing COVID-19 transmission risk on construction site
Qingyao Qiao, Clara Cheung, Akilu Yunusa‐Kaltungo, et al.
Safety Science (2023) Vol. 168, pp. 106312-106312
Open Access | Times Cited: 2
Design, implementation and performance prediction of profiled steel sheet-mixed aggregate recycled concrete hollow composite slab
Ruixue Zhang, Jiuzhou Jiao, Manchao He, et al.
Journal of Building Engineering (2023) Vol. 79, pp. 107839-107839
Closed Access | Times Cited: 2
Electricity energy dataset “BanE-16”: Analysis of peak energy demand with environmental variables for machine learning forecasting
Imrus Salehin, S. M. Noman, Mohammad Mahedy Hasan
Data in Brief (2023) Vol. 52, pp. 109967-109967
Open Access | Times Cited: 2
Enhancing typical Meteorological Year generation for diverse energy systems: A hybrid Sandia-machine learning approach
Wenhao Zhang, Honglian Li, Mengli Wang, et al.
Renewable Energy (2024) Vol. 225, pp. 120369-120369
Closed Access
Multi-Criterial Carbon Assessment of the City
Piotr Sobierajewicz, Janusz Adamczyk, Robert Dylewski
Energies (2024) Vol. 17, Iss. 18, pp. 4555-4555
Open Access
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