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:

Development of an IoT-based big data platform for day-ahead prediction of building heating and cooling demands
Xiaojun Luo, Lukumon O. Oyedele, Anuoluwapo Ajayi, et al.
Advanced Engineering Informatics (2019) Vol. 41, pp. 100926-100926
Open Access | Times Cited: 85

Showing 1-25 of 85 citing articles:

Artificial intelligence in the construction industry: A review of present status, opportunities and future challenges
Sofiat Abioye, Lukumon O. Oyedele, Lukman Akanbi, et al.
Journal of Building Engineering (2021) Vol. 44, pp. 103299-103299
Open Access | Times Cited: 526

Physical energy and data-driven models in building energy prediction: A review
Yongbao Chen, Mingyue Guo, Zhisen Chen, et al.
Energy Reports (2022) Vol. 8, pp. 2656-2671
Open Access | Times Cited: 192

Forecasting building energy consumption: Adaptive long-short term memory neural networks driven by genetic algorithm
Xiaojun Luo, Lukumon O. Oyedele
Advanced Engineering Informatics (2021) Vol. 50, pp. 101357-101357
Closed Access | Times Cited: 113

Trends, benefits, risks, and challenges of IoT implementation in residential and commercial buildings
Kehinde Lawal, Hamed Nabizadeh Rafsanjani
Energy and Built Environment (2021) Vol. 3, Iss. 3, pp. 251-266
Open Access | Times Cited: 103

Building automation systems for energy and comfort management in green buildings: A critical review and future directions
Guofeng Qiang, Shu Tang, Jianli Hao, et al.
Renewable and Sustainable Energy Reviews (2023) Vol. 179, pp. 113301-113301
Closed Access | Times Cited: 48

Deep learning model for Demolition Waste Prediction in a circular economy
Lukman Akanbi, Ahmed Oyedele, Lukumon O. Oyedele, et al.
Journal of Cleaner Production (2020) Vol. 274, pp. 122843-122843
Closed Access | Times Cited: 135

Feature extraction and genetic algorithm enhanced adaptive deep neural network for energy consumption prediction in buildings
Xiaojun Luo, Lukumon O. Oyedele, Anuoluwapo Ajayi, et al.
Renewable and Sustainable Energy Reviews (2020) Vol. 131, pp. 109980-109980
Open Access | Times Cited: 122

Data mining in the construction industry: Present status, opportunities, and future trends
Hang Yan, Nan Yang, Yi Peng, et al.
Automation in Construction (2020) Vol. 119, pp. 103331-103331
Closed Access | Times Cited: 121

Energy-Efficiency Model for Residential Buildings Using Supervised Machine Learning Algorithm
Muhammad Shoukat Aslam, Taher M. Ghazal, Areej Fatima, et al.
Intelligent Automation & Soft Computing (2021) Vol. 30, Iss. 3, pp. 881-888
Open Access | Times Cited: 72

Recent Advances in Internet of Things (IoT) Infrastructures for Building Energy Systems: A Review
Wahiba Yaïci, K. Krishnamurthy, Evgueniy Entchev, et al.
Sensors (2021) Vol. 21, Iss. 6, pp. 2152-2152
Open Access | Times Cited: 64

Systematic Review of Deep Learning and Machine Learning for Building Energy
Sina Ardabili, Leila Abdolalizadeh, Csaba Makó, et al.
Frontiers in Energy Research (2022) Vol. 10
Open Access | Times Cited: 63

A systematic survey of data mining and big data analysis in internet of things
Yong Zhong, Liang Chen, Changlin Dan, et al.
The Journal of Supercomputing (2022) Vol. 78, Iss. 17, pp. 18405-18453
Closed Access | Times Cited: 61

Challenges and opportunities in European smart buildings energy management: A critical review
José L. Hernández, Ignacio de Miguel, Fredy Vélez, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 199, pp. 114472-114472
Open Access | Times Cited: 8

Genetic algorithm-determined deep feedforward neural network architecture for predicting electricity consumption in real buildings
Xiaojun Luo, Lukumon O. Oyedele, Anuoluwapo Ajayi, et al.
Energy and AI (2020) Vol. 2, pp. 100015-100015
Open Access | Times Cited: 64

Development of the heating load prediction model for the residential building of district heating based on model calibration
Qiang Zhang, Zhe Tian, Zhijun Ma, et al.
Energy (2020) Vol. 205, pp. 117949-117949
Closed Access | Times Cited: 53

An overview of data tools for representing and managing building information and performance data
Na Luo, Marco Pritoni, Tianzhen Hong
Renewable and Sustainable Energy Reviews (2021) Vol. 147, pp. 111224-111224
Open Access | Times Cited: 51

Data-driven order correlation pattern and storage location assignment in robotic mobile fulfillment and process automation system
K. L. Keung, C.K.M. Lee, Ping Ji
Advanced Engineering Informatics (2021) Vol. 50, pp. 101369-101369
Closed Access | Times Cited: 42

An improved input variable selection method of the data-driven model for building heating load prediction
Jihong Ling, Na Dai, Jincheng Xing, et al.
Journal of Building Engineering (2021) Vol. 44, pp. 103255-103255
Closed Access | Times Cited: 42

Better understanding on impact of microclimate information on building energy modelling performance for urban resilience
Lei Xu, Shanshan Tong, Wenhui He, et al.
Sustainable Cities and Society (2022) Vol. 80, pp. 103775-103775
Closed Access | Times Cited: 35

Retrofitting existing office buildings towards life-cycle net-zero energy and carbon
Xiaojun Luo
Sustainable Cities and Society (2022) Vol. 83, pp. 103956-103956
Closed Access | Times Cited: 35

A comprehensive and systematic literature review on the big data management techniques in the internet of things
Arezou Naghib, Nima Jafari Navimipour, Mehdi Hosseinzadeh, et al.
Wireless Networks (2022) Vol. 29, Iss. 3, pp. 1085-1144
Open Access | Times Cited: 34

Process knowledge-based random forest regression for model predictive control on a nonlinear production process with multiple working conditions
Linjin Sun, Yangjian Ji, Xiaoyang Zhu, et al.
Advanced Engineering Informatics (2022) Vol. 52, pp. 101561-101561
Closed Access | Times Cited: 28

Consumers profiling based federated learning approach for energy load forecasting
Atharvan Dogra, Ashima Anand, Jatin Bedi
Sustainable Cities and Society (2023) Vol. 98, pp. 104815-104815
Closed Access | Times Cited: 21

Machine Learning Approach to Predict Building Thermal Load Considering Feature Variable Dimensions: An Office Building Case Study
Yongbao Chen, Yunyang Ye, Jingnan Liu, et al.
Buildings (2023) Vol. 13, Iss. 2, pp. 312-312
Open Access | Times Cited: 19

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