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:

Artificial neural network structure optimisation for accurately prediction of exergy, comfort and life cycle cost performance of a low energy building
Iván García Kerdan, David Morillón Gálvez
Applied Energy (2020) Vol. 280, pp. 115862-115862
Open Access | Times Cited: 49

Showing 1-25 of 49 citing articles:

Multi-agent deep reinforcement learning optimization framework for building energy system with renewable energy
Rendong Shen, Shengyuan Zhong, Xin Wen, et al.
Applied Energy (2022) Vol. 312, pp. 118724-118724
Closed Access | Times Cited: 72

Optimizing the thermostat setting points of residential and insulated buildings in the direction of economic efficiency and thermal comfort through advanced multi-purpose techniques
Peng He, Ali B.M. Ali, Zahraa Abed Hussein, et al.
Energy and Buildings (2025), pp. 115428-115428
Closed Access | Times Cited: 1

A multi-objective optimization strategy for building carbon emission from the whole life cycle perspective
Ruijun Chen, Yaw-Shyan Tsay, Ting Zhang
Energy (2022) Vol. 262, pp. 125373-125373
Closed Access | Times Cited: 50

Artificial Neural Network for Predicting Building Energy Performance: A Surrogate Energy Retrofits Decision Support Framework
Haonan Zhang, Haibo Feng, Kasun Hewage, et al.
Buildings (2022) Vol. 12, Iss. 6, pp. 829-829
Open Access | Times Cited: 45

Wavelet-based neural network with genetic algorithm optimization for generation prediction of PV plants
Cheng Zhang, Maomao Zhang
Energy Reports (2022) Vol. 8, pp. 10976-10990
Open Access | Times Cited: 38

Data-driven approach to predicting the energy performance of residential buildings using minimal input data
Ji-Hyun Seo, Seo-Hoon Kim, Sung Lee, et al.
Building and Environment (2022) Vol. 214, pp. 108911-108911
Closed Access | Times Cited: 37

Comfort, carbon emissions, and cost of building envelope and photovoltaic arrangement optimization through a two-stage model
Zhan Jin, Wenjing He, Jianxiang Huang
Applied Energy (2023) Vol. 356, pp. 122423-122423
Closed Access | Times Cited: 23

Oxy-fuel and air atmosphere combustions of Chinese medicine residues: Performances, mechanisms, flue gas emission, and ash properties
Zhiyun Chen, Jingyong Liu, Huashan Chen, et al.
Renewable Energy (2021) Vol. 182, pp. 102-118
Closed Access | Times Cited: 53

Robust and general predictive models for condensation heat transfer inside conventional and mini/micro channel heat exchangers
M.A. Moradkhani, Seyyed Hossein Hosseini, Mengjie Song
Applied Thermal Engineering (2021) Vol. 201, pp. 117737-117737
Closed Access | Times Cited: 48

Real-time energy consumption prediction method for air-conditioning system based on long short-term memory neural network
Yifan Zhao, Wei Li, Jili Zhang, et al.
Energy and Buildings (2023) Vol. 298, pp. 113527-113527
Closed Access | Times Cited: 16

Estimation of the mean radiant temperature in office buildings using an artificial neural network developed in a Phyton environment
Mehmet Furkan Özbey, Bahram Lotfi Sadigh, Cihan Turhan
Advances in Building Energy Research (2025), pp. 1-16
Closed Access

A multi-objective optimization method based on an adaptive meta-model for classroom design with smart electrochromic windows
Yizhe Xu, Chengchu Yan, Shanhui Yan, et al.
Energy (2021) Vol. 243, pp. 122777-122777
Closed Access | Times Cited: 33

Challenges in implementing data-driven approaches for building life cycle energy assessment: A review
V. Venkatraj, Manish Dixit
Renewable and Sustainable Energy Reviews (2022) Vol. 160, pp. 112327-112327
Open Access | Times Cited: 25

AI-Driven Design Optimization for Sustainable Buildings: A Systematic Review
Piragash Manmatharasan, Girma Bitsuamlak, Katarina Grolinger
Energy and Buildings (2025), pp. 115440-115440
Open Access

Advanced Machine learning models for inverse design and digital manufacturing of terahertz metasurfaces using femtosecond laser technology
Bing Wang, Jie Song, Jingjing Wang, et al.
Optics & Laser Technology (2025) Vol. 186, pp. 112742-112742
Closed Access

Design optimization of climate-responsive rural residences in solar rich areas considering sustainability and occupant comfort
C.-J. Luo, Feng Chi, Huizhi Zhong, et al.
Energy and Buildings (2025) Vol. 336, pp. 115546-115546
Closed Access

Study on dual-objective optimization method of life cycle energy consumption and economy of office building based on HypE genetic algorithm
Zhixing Luo, Yiqing Lü, Yujie Cang, et al.
Energy and Buildings (2021) Vol. 256, pp. 111749-111749
Closed Access | Times Cited: 28

An adaptive neural fuzzy interface structure optimisation for prediction of energy consumption and airflow of a ventilation system
P Kumar, Ananda Shankar Hati, Prashant Kumar
Applied Energy (2023) Vol. 337, pp. 120879-120879
Closed Access | Times Cited: 12

Dual-objective building retrofit optimization under competing priorities using Artificial Neural Network
Zhan Jin, Wenjing He, Jianxiang Huang
Journal of Building Engineering (2023) Vol. 70, pp. 106376-106376
Closed Access | Times Cited: 12

An optimal control strategy for ASHP units with a novel dual-fan outdoor coil for evener frosting along airflow direction based on GRNN modelling
Xiaoxia Bai, Shengnan Liu, Shiming Deng, et al.
Energy and Buildings (2023) Vol. 292, pp. 113136-113136
Closed Access | Times Cited: 11

Improving building resilience in the face of future climate uncertainty: A comprehensive framework for enhancing building life cycle performance
Ruijun Chen, Holly Samuelson, Yukai Zou, et al.
Energy and Buildings (2023) Vol. 302, pp. 113761-113761
Closed Access | Times Cited: 11

A three-stage optimization method for the classroom envelope in primary and secondary schools in China
Yizhe Xu, Chengchu Yan, Pan Yan, et al.
Journal of Building Engineering (2022) Vol. 52, pp. 104487-104487
Closed Access | Times Cited: 17

Artificial Neural Network–Based Generative Design Optimization of the Energy Performance of Florida Single-Family Houses
Rita Elias, Raja R. A. Issa
Journal of Computing in Civil Engineering (2024) Vol. 38, Iss. 2
Closed Access | Times Cited: 3

Surrogate modelling methodology for predicting annual site energy for single-family wartime bungalow archetypes in Toronto
Maya Shikatani, Russell Richman
Energy and Buildings (2024) Vol. 311, pp. 114122-114122
Open Access | Times Cited: 3

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