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:

Prediction of Carbon Dioxide Emissions in China Using Shallow Learning with Cross Validation
Yali Hou, Qunwei Wang, Tao Tan
Energies (2022) Vol. 15, Iss. 22, pp. 8642-8642
Open Access | Times Cited: 14

Showing 14 citing articles:

Application of Machine Learning in Material Synthesis and Property Prediction
Guannan Huang, Yani Guo, Ye Chen, et al.
Materials (2023) Vol. 16, Iss. 17, pp. 5977-5977
Open Access | Times Cited: 37

Forecasting carbon dioxide emissions: application of a novel two-stage procedure based on machine learning models
Chunzi Wang, Moye Li, Junpeng Yan
Journal of Water and Climate Change (2023) Vol. 14, Iss. 2, pp. 477-493
Open Access | Times Cited: 25

Recent Progress in Metal Oxide-Based Photocatalysts for CO2 Reduction to Solar Fuels: A Review
Xuanzhen Li, Jing Xiong, Zhiling Tang, et al.
Molecules (2023) Vol. 28, Iss. 4, pp. 1653-1653
Open Access | Times Cited: 23

Enhancing Transparency of Climate Efforts: MITICA’s Integrated Approach to Greenhouse Gas Mitigation
Juan Luis Martín-Ortega, Javier Chornet, Ioannis Sebos, et al.
Sustainability (2024) Vol. 16, Iss. 10, pp. 4219-4219
Open Access | Times Cited: 11

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

Machine Learning-Based Carbon Emission Predictions and Customized Reduction Strategies for 30 Chinese Provinces
Soonhyun Hong, Ting Ting Fu, Ming Dai
Sustainability (2025) Vol. 17, Iss. 5, pp. 1786-1786
Open Access

Artificial intelligence for calculating and predicting building carbon emissions: a review
Jianmin Hua, Ruiyi Wang, Ying Cheng Hu, et al.
Environmental Chemistry Letters (2025)
Open Access

Innovative approach to daily carbon dioxide emission forecast based on ensemble of quantile regression and attention BILSTM
Zhou Zheng, Yu Le, Wang Yu-ming, et al.
Journal of Cleaner Production (2024) Vol. 460, pp. 142605-142605
Closed Access | Times Cited: 4

Accounting CO2 Emissions of the Cement Industry: Based on an Electricity–Carbon Coupling Analysis
Chunlei Zhou, Donghai Xuan, Yuhan Miao, et al.
Energies (2023) Vol. 16, Iss. 11, pp. 4453-4453
Open Access | Times Cited: 6

A U-MIDAS modeling framework for forecasting carbon dioxide emissions based on LSTM network and LASSO regression
Chunzi Wang, Fusheng Xie, Junpeng Yan, et al.
Energy Reports (2024) Vol. 13, pp. 16-26
Closed Access

Analysis and Prediction of Relative Humidity Level using Generalized Linear Model
Adi Nugroho, Aditya Pramada Wicaksono, Achmad Choiruddin
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING (2023) Vol. 7, Iss. 1, pp. 221-232
Open Access

Prediction of Soil Moisture Based on BP Neural Network
Kewen Gao, Ya Gao, Miao Zhang
Highlights in Science Engineering and Technology (2023) Vol. 67, pp. 36-41
Closed Access

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