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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:

Data driven model improved by multi-objective optimisation for prediction of building energy loads
Saleh Seyedzadeh, Farzad Pour Rahimian, Stephen Oliver, et al.
Automation in Construction (2020) Vol. 116, pp. 103188-103188
Open Access | Times Cited: 77

Showing 26-50 of 77 citing articles:

Improved Harris Hawks Optimization with Hybrid Deep Learning Based Heating and Cooling Load Prediction on residential buildings
R.J. Kavitha, C. Thiagarajan, P. Indira Priya, et al.
Chemosphere (2022) Vol. 309, pp. 136525-136525
Closed Access | Times Cited: 24
Building energy loads prediction using bayesian-based metaheuristic optimized-explainable tree-based model
Babatunde Abiodun Salami, Sani I. Abba, Adeshina Adewale Adewumi, et al.
Case Studies in Construction Materials (2023) Vol. 19, pp. e02676-e02676
Open Access | Times Cited: 13
Multi-objective optimization for gymnasium layout in early design stage: Based on genetic algorithm and neural network
Zhaoxiang Fan, Mengxuan Liu, Shuoning Tang, et al.
Building and Environment (2024) Vol. 258, pp. 111577-111577
Closed Access | Times Cited: 4
On-demand generation of as-built infrastructure information models for mechanised Tunnelling from TBM data: A computational design approach
Vito Getuli, Pietro Capone, Alessandro Bruttini, et al.
Automation in Construction (2020) Vol. 121, pp. 103434-103434
Open Access | Times Cited: 36
Stacking Ensemble Tree Models to Predict Energy Performance in Residential Buildings
Ahmed Salih Mohammed, Panagiotis G. Asteris, Mohammadreza Koopialipoor, et al.
Sustainability (2021) Vol. 13, Iss. 15, pp. 8298-8298
Open Access | Times Cited: 27
A framework of data modeling and artificial intelligence for environmental-friendly energy system: Application of Kalina cycle improved with fuel cell and thermoelectric module
Shoaib Khanmohammadi, Farayi Musharavati, Rasikh Tariq
Process Safety and Environmental Protection (2022) Vol. 164, pp. 499-516
Closed Access | Times Cited: 18
Multi-prediction of electric load and photovoltaic solar power in grid-connected photovoltaic system using state transition method
Hu Wang, Lei Mao, Heng Zhang, et al.
Applied Energy (2023) Vol. 353, pp. 122138-122138
Closed Access | Times Cited: 10
Research on the Framework and Meteorological Parameter Optimization Method of Dynamic Heating Load Prediction Model for Heat-exchange Stations
Ying Ji, Xiang Chen, Xinyu Yang, et al.
Energy (2024), pp. 133125-133125
Closed Access | Times Cited: 3
A Review of Research on Building Energy Consumption Prediction Models Based on Artificial Neural Networks
Qing Yin, Chunmiao Han, Ailin Li, et al.
Sustainability (2024) Vol. 16, Iss. 17, pp. 7805-7805
Open Access | Times Cited: 3
Machine learning-based monitoring method for the electricity consumption of a healthcare facility in Italy
Marco Zini, Carlo Carcasci
Energy (2022) Vol. 262, pp. 125576-125576
Closed Access | Times Cited: 17
Hybrid machine learning for pullback force forecasting during horizontal directional drilling
Hongfang Lü, Tom Iseley, John C. Matthews, et al.
Automation in Construction (2021) Vol. 129, pp. 103810-103810
Closed Access | Times Cited: 22
Evaluation of occupant's adaptive thermal comfort behaviour in naturally ventilated courtyard houses
Peiman Pilechiha, Alireza Norouziasas, Hoorieh Ghorbani Naeini, et al.
Smart and Sustainable Built Environment (2021) Vol. 11, Iss. 4, pp. 793-811
Closed Access | Times Cited: 21
Developing a hybrid time-series artificial intelligence model to forecast energy use in buildings
Ngoc-Tri Ngo, Anh‐Duc Pham, Thi Thu Ha Truong, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 15
A sub-sequence clustering method for identifying daily indoor environmental patterns from massive time-series data
Geng Yang, Wenjie Ji, Yongxin Xie, et al.
Automation in Construction (2022) Vol. 139, pp. 104303-104303
Closed Access | Times Cited: 14
Behaviour of Machine Learning algorithms in the classification of energy consumption in school buildings
José Machado, António Chaves, Larissa Montenegro, et al.
Logic Journal of IGPL (2024)
Closed Access | Times Cited: 2
Energy Consumption Prediction in Residential Buildings—An Accurate and Interpretable Machine Learning Approach Combining Fuzzy Systems with Evolutionary Optimization
Marian B. Gorzałczany, Filip Rudziński
Energies (2024) Vol. 17, Iss. 13, pp. 3242-3242
Open Access | Times Cited: 2
Comparison of energy consumption prediction models for air conditioning at different time scales for large public buildings
Jianwen Liu, Zhihong Zhai, Yuxiang Zhang, et al.
Journal of Building Engineering (2024) Vol. 96, pp. 110423-110423
Closed Access | Times Cited: 2
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
An integrated decision support system for multi-target forecasting: A case study of energy load prediction for a solar-powered residential house
Shaya Sheikh, Meysam Rabiee, Murtaza Nasir, et al.
Computers & Industrial Engineering (2022) Vol. 166, pp. 107966-107966
Closed Access | Times Cited: 10
OPTIMIZING HVAC EFFICIENCY AND RELIABILITY: A REVIEW OF MANAGEMENT STRATEGIES FOR COMMERCIAL AND INDUSTRIAL BUILDINGS
Muhammad Mohiul Islam, Shaikh Shofiullah, Sayeda Sufia Sumi, et al.
Deleted Journal (2024) Vol. 3, Iss. 4, pp. 13-30
Open Access | Times Cited: 1
A Review of Data-Driven Methods in Building Retrofit and Performance Optimization: From the Perspective of Carbon Emission Reductions
Shu-Long Luo, Xing Shi, Feng Yang
Energies (2024) Vol. 17, Iss. 18, pp. 4641-4641
Open Access | Times Cited: 1
Latest insights on separation and storage of carbon compounds in buildings towards sustainable environment: Recent innovations, challenges, future perspectives and application of machine learning
Zibing Su, Lin Xing, H. Elhosiny Ali, et al.
Chemosphere (2023) Vol. 329, pp. 138573-138573
Closed Access | Times Cited: 4
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
The influencing factors on efficacy enhancement of HVAC systems – A review
Mitali Ray, Padarbinda Samal, Chinmoy Kumar Panigrahi
Materials Today Proceedings (2021) Vol. 80, pp. 3423-3432
Closed Access | Times Cited: 10
Application of semantic Web ontologies for the improvement of information exchange in existing buildings
Farhad Sadeghineko, Bimal Kumar
Construction Innovation (2021) Vol. 22, Iss. 3, pp. 444-464
Open Access | Times Cited: 10

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