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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:

Coupling LSTM and CNN Neural Networks for Accurate Carbon Emission Prediction in 30 Chinese Provinces
Zhonghua Han, Bingwei Cui, Liwen Xu, et al.
Sustainability (2023) Vol. 15, Iss. 18, pp. 13934-13934
Open Access | Times Cited: 18

Showing 18 citing articles:

Strategizing Low Carbon Urban Planning through Environmental Impact Assessment by Artificial Intelligence Driven Carbon Foot Print Forecasting
Firas Tayseer Ayasrah, Nabeel S. Alsharafa, S Sivaprakash, et al.
Journal of Machine and Computing (2024), pp. 1140-1151
Open Access | Times Cited: 14
Assessment of Advanced Machine and Deep Learning Approaches for Predicting CO2 Emissions from Agricultural Lands: Insights Across Diverse Agroclimatic Zones
Endre Harsányi, Morad Mirzaei, Sana Arshad, et al.
Earth Systems and Environment (2024) Vol. 8, Iss. 4, pp. 1109-1125
Open Access | Times Cited: 7
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: 6
Scenario simulation of carbon balance in carbon peak pilot cities under the background of the "dual carbon" goals
Jinting Zhang, Kui Yang, Jingdong Wu, et al.
Sustainable Cities and Society (2024), pp. 105910-105910
Closed Access | Times Cited: 4
Evaluating China's 2030 carbon peak goal: Post-COVID-19 systematic review
Chao Huang, Sau Chung Fu, K.C. Chan, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 209, pp. 115128-115128
Closed Access | Times Cited: 4
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
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
Impact of Digitization and Artificial Intelligence on Carbon Emissions Considering Variable Interaction and Heterogeneity: An Interpretable Deep Learning Modeling Framework
Gongquan Zhang, Shenglin Ma, Mingxing Zheng, et al.
Sustainable Cities and Society (2025), pp. 106333-106333
Closed Access
Exploration of Dual-Carbon Target Pathways Based on Machine Learning Stacking Model and Policy Simulation—A Case Study in Northeast China
Xuezhi Ren, Jianya Zhao, Shu Wang, et al.
Land (2025) Vol. 14, Iss. 4, pp. 844-844
Open Access
Application of Neural Networks on Carbon Emission Prediction: A Systematic Review and Comparison
Wentao Feng, Tailong Chen, Longsheng Li, et al.
Energies (2024) Vol. 17, Iss. 7, pp. 1628-1628
Open Access | Times Cited: 2
Analysis of influencing factors of carbon emissions from China’s marine fishery energy consumption under different development scenarios
Shanhong Ye
Frontiers in Marine Science (2024) Vol. 11
Open Access | Times Cited: 2
Forecasting carbon dioxide emissions in Chongming: a novel hybrid forecasting model coupling gray correlation analysis and deep learning method
Yaqi Wang, Xiaomeng Zhao, Wenbo Zhu, et al.
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 10
Closed Access | Times Cited: 1
Enhancing Neonatal Incubator Energy Management and Monitoring through IoT-Enabled CNN-LSTM Combination Predictive Model
I Komang Agus Ady Aryanto, Dechrit Maneetham, Padma Nyoman Crisnapati
Applied Sciences (2023) Vol. 13, Iss. 23, pp. 12953-12953
Open Access | Times Cited: 2
Predicting Urban Carbon Emissions through Spatio-Temporal Encoding
Yuntao Mao, Jinwei Zhu, Ziwei Chen, et al.
(2024), pp. 1-5
Closed Access
Scenario Simulation of Carbon Balance in Carbon Peak Pilot Cities Under the Background of the "Dual Carbon" Goals
Jinting Zhang, Kui Yang, Jingdong Wu, et al.
(2024)
Closed Access
Modeling of carbon dioxide (CO2) emissions
Parvathy Sasi, Dekketi G.C. Vikram Reddy, Panneerselvam Ranganathan
Elsevier eBooks (2024), pp. 23-41
Closed Access
Intensified greenhouse gas prediction: Configuring Gate with Fine-Tuning Shifts with Bi-LSTM and GRU System
Mohemmed Sha, Solomon Emmanuel, A. Bindhu, et al.
Frontiers in Climate (2024) Vol. 6
Open Access
Forecasting CO₂ Emissions with Machine Learning Methods: Türkiye Example and Future Trends
İbrahim Ayaz
NATURENGS MTU Journal of Engineering and Natural Sciences Malatya Turgut Ozal University (2024)
Closed Access
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