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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:

Bayesian optimization + XGBoost based life cycle carbon emission prediction for residential buildings—An example from Chengdu, China
Haize Pan, Chengjin Wu
Building Simulation (2023) Vol. 16, Iss. 8, pp. 1451-1466
Closed Access | Times Cited: 9

Showing 9 citing articles:

From Policy to Practice: Assessing Carbon Storage in Fujian Province Using Patch-Generating Land Use Simulation and Integrated Valuation of Ecosystem Services and Tradeoffs Models
Qin Nie, Wang Man, Zongmei Li, et al.
Land (2025) Vol. 14, Iss. 1, pp. 179-179
Open Access | Times Cited: 2
Integrating Machine Learning and Genetic Algorithms to Optimize Building Energy and Thermal Efficiency Under Historical and Future Climate Scenarios
Alireza Karimi, M. Mohajerani, Niloufar Alinasab, et al.
Sustainability (2024) Vol. 16, Iss. 21, pp. 9324-9324
Open Access | Times Cited: 6
Deciphering the nonlinear and synergistic role of building energy variables in shaping carbon emissions: A LightGBM- SHAP framework in office buildings
Congyue Zhou, Zhu Wang, Xuanli Wang, et al.
Building and Environment (2024) Vol. 266, pp. 112035-112035
Closed Access | Times Cited: 5
Physics-informed explainable encoder-decoder deep learning for predictive estimation of building carbon emissions
Chao Chen, Limao Zhang, Cheng Zhou, et al.
Renewable and Sustainable Energy Reviews (2025) Vol. 213, pp. 115478-115478
Closed Access
Applications and Trends of Machine Learning in Building Energy Optimization: A Bibliometric Analysis
Jingyi Liu, J.F. Chen
Buildings (2025) Vol. 15, Iss. 7, pp. 994-994
Open Access
Carbon Dioxide Emission Forecast: A Review of Existing Models and Future Challenges
Yaxin Tian, Xiang Ren, Keke Li, et al.
Sustainability (2025) Vol. 17, Iss. 4, pp. 1471-1471
Open Access
Integrating machine learning with life cycle assessment: a comprehensive review and guide for predicting environmental impacts
João Victor Encide Salla, Tiago A. Almeida, Diogo Aparecido Lopes Silva
The International Journal of Life Cycle Assessment (2025)
Closed Access
Carbon emission prediction of 275 cities in China considering artificial intelligence effects and feature interaction: A heterogeneous deep learning modeling framework
Gongquan Zhang, Fangrong Chang, Jie Liu
Sustainable Cities and Society (2024) Vol. 114, pp. 105776-105776
Closed Access | Times Cited: 2
Online segmented thickness prediction of hot rolling strip based on IBA-XGBoost
Fei Zhang, Shuo Huang, Lijun Wang, et al.
International Journal of Data Science and Analytics (2024)
Closed Access | Times Cited: 1
Online Thickness Prediction of Hot Rolling Strip Based on ARO-XGBoost
Shuo Huang, Fei Zhang, Lijun Wang, et al.
2022 34th Chinese Control and Decision Conference (CCDC) (2024), pp. 161-166
Closed Access
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