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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:

Weighted aggregated ensemble model for energy demand management of buildings
Nikhil Pachauri, Chang Wook Ahn
Energy (2022) Vol. 263, pp. 125853-125853
Closed Access | Times Cited: 17

Showing 17 citing articles:

Proposing hybrid prediction approaches with the integration of machine learning models and metaheuristic algorithms to forecast the cooling and heating load of buildings
He Dasi, Ying Zhang, MD Faisal Bin Ashab
Energy (2024) Vol. 291, pp. 130297-130297
Closed Access | Times Cited: 23
Attention mechanism-based transfer learning model for day-ahead energy demand forecasting of shopping mall buildings
Yue Yuan, Zhihua Chen, Zhe Wang, et al.
Energy (2023) Vol. 270, pp. 126878-126878
Closed Access | Times Cited: 34
Short-term energy consumption prediction method for educational buildings based on model integration
Wen‐Qiang Cao, Junqi Yu, Mengyao Chao, et al.
Energy (2023) Vol. 283, pp. 128580-128580
Closed Access | Times Cited: 32
Adaptive state of health estimation for lithium-ion batteries using impedance-based timescale information and ensemble learning
Yuli Zhu, Bo Jiang, Jiangong Zhu, et al.
Energy (2023) Vol. 284, pp. 129283-129283
Closed Access | Times Cited: 27
Building heating load forecasting based on the theory of transient heat transfer and deep learning
Zekun Shi, Ruifan Zheng, Rendong Shen, et al.
Energy and Buildings (2024) Vol. 313, pp. 114290-114290
Closed Access | Times Cited: 9
District heating load patterns and short-term forecasting for buildings and city level
Pengmin Hua, Haichao Wang, Zichan Xie, et al.
Energy (2023) Vol. 289, pp. 129866-129866
Open Access | Times Cited: 17
A GA-stacking ensemble approach for forecasting energy consumption in a smart household: A comparative study of ensemble methods
Mahziyar Dostmohammadi, Mona Zamani Pedram, Siamak Hoseinzadeh, et al.
Journal of Environmental Management (2024) Vol. 364, pp. 121264-121264
Open Access | Times Cited: 5
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
Biochar energy prediction from different biomass feedstocks for clean energy generation
Nikhil Pachauri, Chang Wook Ahn, Tae Jong Choi
Environmental Technology & Innovation (2025), pp. 104012-104012
Open Access
Meta learning regression framework for energy consumption prediction in retrofitted buildings: A case study of South Korea
Anh Tuan Nguyen, Yonghan Ahn, Soyeon Park, et al.
Journal of Building Engineering (2024) Vol. 96, pp. 110403-110403
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
Ultra-high-accuracy state-of-charge fusion estimation of lithium-ion batteries using variational mode decomposition
Zhihui Zhao, Farong Kou, Zhengniu Pan, et al.
Energy (2024) Vol. 309, pp. 133094-133094
Closed Access | Times Cited: 2
An Ensemble Model for the Energy Consumption Prediction of Residential Buildings
Ritwik Mohan, Nikhil Pachauri
Energy (2024), pp. 134255-134255
Closed Access | Times Cited: 2
Plum Tree Algorithm and Weighted Aggregated Ensembles for Energy Efficiency Estimation
Dorin Moldovan
Algorithms (2023) Vol. 16, Iss. 3, pp. 134-134
Open Access | Times Cited: 6
A blended ensemble model for biomass HHV prediction from ultimate analysis
Nikhil Pachauri, Chang Wook Ahn, Tae Jong Choi
Fuel (2023) Vol. 357, pp. 129898-129898
Closed Access | Times Cited: 5
Ensemble Learning Method for Forecasting HVAC System Demand
Nihad Aghbalou, Abdérafi Charki, Hanae Errousso, et al.
Springer proceedings in energy (2024), pp. 1-9
Closed Access | Times Cited: 1
GIS Applications and Machine Learning Approaches in Civil Engineering
N. R. Asha Rani, Sasmita Bal, M. Inayathulla
Lecture notes in civil engineering (2024), pp. 157-166
Closed Access
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