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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:

Energy consumption prediction and household feature analysis for different residential building types using machine learning and SHAP: Toward energy-efficient buildings
Xuerong Cui, Minhyun Lee, Choongwan Koo, et al.
Energy and Buildings (2024) Vol. 309, pp. 113997-113997
Closed Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

A proposal on a co-generation system accompanied with phase change material to supply energy demand of a hospital to make it a zero energy building (ZEB)
Ehsanolah Assareh, Abolfazl Keykhah, Le Cao Nhien, et al.
Energy and Buildings (2024) Vol. 318, pp. 114478-114478
Closed Access | Times Cited: 9
A Comparative Analysis of Machine Learning Algorithms in Predicting the Performance of a Combined Radiant Floor and Fan Coil Cooling System
Shengze Lu, Mengying Cui, Bo Gao, et al.
Buildings (2024) Vol. 14, Iss. 6, pp. 1659-1659
Open Access | Times Cited: 5
Energy consumption prediction and energy-saving suggestions of public buildings based on machine learning
Cheng Chen, Zhiming Gao, Xuan Zhou, et al.
Energy and Buildings (2024) Vol. 320, pp. 114585-114585
Closed Access | Times Cited: 5
Tailored and Impactful Retrofit Guides for Swedish Building Stocks Using Big Data and Explainable Ai
Santhan Reddy Penaka, Kailun Feng, Thomas Olofsson, et al.
(2025)
Closed Access
Atlas for sustainable Egyptian governorates buildings based on wind/solar potential: Power, efficiency, economic, environmental, and thermal comfort maps
Brian Senyonyi, Hatem Mahmoud, Hamdy Hassan
Energy and Buildings (2025), pp. 115314-115314
Closed Access
Machine learning-aided biochar design for the adsorptive removal of emerging inorganic pollutants in water
Habib Ullah, Sangar Khan, Xiaoying Zhu, et al.
Separation and Purification Technology (2025), pp. 131421-131421
Closed Access
Experimental and numerical study on heat transfer and energy storage characteristics in double-layered enclosure packed with microencapsulated phase change material
Wei‐Mon Yan, Yanli Lin, Uzair Sajjad, et al.
International Journal of Heat and Fluid Flow (2025) Vol. 112, pp. 109757-109757
Closed Access
Analyzing different household energy use patterns using clustering and machine learning
Xuerong Cui, Minhyun Lee, Mohammad Nyme Uddin, et al.
Renewable and Sustainable Energy Reviews (2025) Vol. 212, pp. 115335-115335
Closed Access
Interpretable data-driven urban building energy modeling considering inter-building effect.
Deqing Lin, Xiaodong Xu, Ke Liu, et al.
Building and Environment (2025), pp. 112688-112688
Closed Access
Large-scale building-level electricity consumption estimation for multiple building types: A Case study from Dongguan, China
Geng Liu, Jinpei Ou, Yuebing Zheng, et al.
Sustainable Cities and Society (2025), pp. 106224-106224
Closed Access
The impact of climate change and economic development on the catches of small pelagic fisheries
Xiao-Han Fang, Ying Zhang
Marine Policy (2025) Vol. 175, pp. 106631-106631
Open Access
Promoting sustainable development goals through energy-related behaviors of household occupants: Fostering sustainable energy solutions in developing countries
Mohammad M. Hamed, Aseel Alkhreasha, Ahmad AlShaer, et al.
Renewable and Sustainable Energy Reviews (2025) Vol. 213, pp. 115511-115511
Closed Access
A novel temporal domain adaptation framework for residential electricity consumption forecasting under incomplete information
Sheng Li, Xiaoxiao Xu, Yadong Xu, et al.
Energy and Buildings (2025), pp. 115513-115513
Closed Access
Measurement-Based Assessment of Energy Performance and Thermal Comfort in Households Under Non-Controllable Conditions
G. Stavrakakis, D. Bakirtzis, Dimitrios Tziritas, et al.
Energies (2025) Vol. 18, Iss. 5, pp. 1087-1087
Open Access
High-performance thermal storage materials using wastepaper aerogels for green building applications
Jun Li, Yingbiao Yuan, Yimin Zeng, et al.
Journal of Energy Storage (2025) Vol. 115, pp. 115986-115986
Closed Access
Deep learning-based automated method for enhancing excavator activity recognition in far-field construction site surveillance videos
Yejin Shin, Seungwon Seo, Choongwan Koo
Automation in Construction (2025) Vol. 173, pp. 106099-106099
Closed Access
Comparing hyperparameter tuning methods in machine learning based urban building energy modeling: A study in Chicago
Steven Jige Quan
Energy and Buildings (2024) Vol. 317, pp. 114353-114353
Closed Access | Times Cited: 4
Building energy efficiency assessment base on predict-center criterion under diversified conditions
Xuechao Liao, Yong Zhang, Xiujuan Zheng, et al.
Energy and Buildings (2024) Vol. 311, pp. 114118-114118
Closed Access | Times Cited: 2
A review on hybrid physics and data-driven modeling methods applied in air source heat pump systems for energy efficiency improvement
Yanhua Guo, Ningbo Wang, Shuangquan Shao, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 204, pp. 114804-114804
Closed Access | Times Cited: 2
Prediction of Energy Efficiency for Residential Buildings Using Supervised Machine Learning Algorithms
Tahir Mahmood, Muhammad Asif
Energies (2024) Vol. 17, Iss. 19, pp. 4965-4965
Open 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
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
CRISP-DM-Based Data-Driven Approach for Building Energy Prediction Utilizing Indoor and Environmental Factors
Moaaz Elkabalawy, Abobakr Al-Sakkaf, Eslam Mohammed Abdelkader, et al.
Sustainability (2024) Vol. 16, Iss. 17, pp. 7249-7249
Open Access | Times Cited: 1
A case study of multi-objective design optimization of a healthy building in Shanghai, China
Yaolin Lin, Jiajun Wang, Wei Yang, et al.
Journal of Building Engineering (2024) Vol. 96, pp. 110581-110581
Closed Access | Times Cited: 1
Improving the accuracy and interpretability of multi-scenario building energy consumption prediction considering characteristics of training dataset
Haizhou Fang, Hongwei Tan, Xiaolei Yuan, et al.
Energy and Buildings (2024), pp. 114912-114912
Closed Access | Times Cited: 1
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