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:

Assessment Framework of Provincial Carbon Emission Peak Prediction in China: An Empirical Analysis of Hebei Province
Wei Li, Lei Du
Polish Journal of Environmental Studies (2019) Vol. 28, Iss. 5, pp. 3753-3765
Open Access | Times Cited: 20

Showing 20 citing articles:

Multi-scale carbon emission characterization and prediction based on land use and interpretable machine learning model: A case study of the Yangtze River Delta Region, China
Haizhi Luo, Chenglong Wang, Cangbai Li, et al.
Applied Energy (2024) Vol. 360, pp. 122819-122819
Closed Access | Times Cited: 31

A new hybrid short-term carbon emissions prediction model for aviation industry in China
Guohui Li, Zelin Yang, Hong Yang
Alexandria Engineering Journal (2023) Vol. 68, pp. 93-110
Open Access | Times Cited: 26

Empirical decomposition and peaking path of carbon emissions in resource-based areas
Tian Cheng-shi, Lin Qi
Journal of Cleaner Production (2023) Vol. 395, pp. 136372-136372
Closed Access | Times Cited: 20

A hybrid forecasting model of carbon emissions with optimized VMD and error correction
Guohui Li, Hao Wu, Hong Yang
Alexandria Engineering Journal (2023) Vol. 81, pp. 210-233
Open Access | Times Cited: 17

Which model is more efficient in carbon emission prediction research? A comparative study of deep learning models, machine learning models, and econometric models
Xiao Yao, Hong Zhang, Xiyue Wang, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 13, pp. 19500-19515
Closed Access | Times Cited: 5

Analysis of carbon peak achievement at the provincial level in China: Construction of ensemble prediction models and Monte Carlo simulation
Xinyu Xia, Bin Liu, Qinxiang Wang, et al.
Sustainable Production and Consumption (2024) Vol. 50, pp. 445-461
Closed Access | Times Cited: 2

A study of the potential for peak carbon dioxide emissions in metropolitan areas: the case of China
Shian Zeng, Chengdong Yi
Environmental Monitoring and Assessment (2023) Vol. 195, Iss. 6
Open Access | Times Cited: 4

The Effects of Tourism Development on Eco-Environment Resilience and Its Spatio-Temporal Heterogeneity in the Yangtze River Economic Belt, China
Kun Wang, Xiangtai Chen, Zhenxian Lei, et al.
Sustainability (2023) Vol. 15, Iss. 22, pp. 16124-16124
Open Access | Times Cited: 4

Optimization of Urban Road Green Belts under the Background of Carbon Peak Policy
Weijia Li, Yuejiao Wang
Sustainability (2023) Vol. 15, Iss. 17, pp. 13140-13140
Open Access | Times Cited: 2

Simulation of emission reduction path under the path of differentiated energy transformation in China’s industrial cities: a case study of Shanghai
Wenyi Wang, Yanran Chen, Yiming Huang
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 11, pp. 17005-17017
Closed Access

Decomposition of driving factors and peak prediction of carbon emissions in key cities in China
Yuxin Zhang, Yao Zhang, Wei Chen, et al.
Research Square (Research Square) (2024)
Closed Access

Fine-Grained Deep Mining of Factors Influencing Carbon Emissions in China Based on Graph Adversarial Learning
Xiao Yao, Jie Li, Xiyue Wang, et al.
Energy (2024), pp. 134352-134352
Closed Access

Building a novel multivariate nonlinear MGM(1,m,N|γ) model to forecast carbon emissions
Pingping Xiong, Xiaojie Wu, Jing Ye
Environment Development and Sustainability (2022) Vol. 25, Iss. 9, pp. 9647-9671
Open Access | Times Cited: 1

Whether deep learning is an efficient method for carbon emission prediction research?
Xiao Yao, Hong Zhang, Xiyue Wang, et al.
Research Square (Research Square) (2023)
Open Access

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