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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:

A Review of Macroscopic Carbon Emission Prediction Model Based on Machine Learning
Yuhong Zhao, Ruirui Liu, Zhansheng Liu, et al.
Sustainability (2023) Vol. 15, Iss. 8, pp. 6876-6876
Open Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Probability of Achieving NDC and Implications for Climate Policy: CO-STIRPAT Approach
Ick Jin
Journal of Economic Analysis (2023)
Open Access | Times Cited: 38
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
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
Prediction of agricultural carbon emissions in China based on a GA-ELM model
Xiaoyang Guo, Jingyi Yang, Yang Shen, et al.
Frontiers in Energy Research (2023) Vol. 11
Open Access | Times Cited: 12
A multiscale geographically weighted regression approach to emphasize the effects of traffic characteristics on vehicular emissions
Farzane Omrani, Rouzbeh Shad, Seyed Ali Ziaee
Atmospheric Environment X (2025), pp. 100315-100315
Open Access
Research on the Decision-Making Model of Carbon Quota Trading Based on Deep Reinforcement Learning
Jiawen Liu, Jiajia Huan, Xiaodong Lan
International Journal of e-Collaboration (2025) Vol. 21, Iss. 1, pp. 1-12
Open Access
Quantum computing in addressing greenhouse gas emissions: A systematic literature review
Wahyu Hidayat, Kridanto Surendro
Egyptian Informatics Journal (2025) Vol. 29, pp. 100622-100622
Closed 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
Understanding the environmental health implications of tourism on carbon emissions in China
Jinhua Shao, Sheng Fang, Meiling Zhao, et al.
Frontiers in Public Health (2025) Vol. 13
Open Access
An enhanced moth flame optimization extreme learning machines hybrid model for predicting CO2 emissions
Ahmed Ramdan Almaqtouf Algwil, Wagdi Khalifa
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Modeling and long-term forecasting of CO2 emissions in Asia: An optimized ANN approach with consideration of renewable energy scenarios
Erfan Abbasian Hamedani, Saeed Talebi
Energy Conversion and Management X (2025), pp. 101030-101030
Open Access
A novel ensemble approach for road traffic carbon emission prediction: a case in Canada
Yongliang Liu, Chunling Tang, Aiying Zhou, et al.
Environment Development and Sustainability (2024)
Closed Access | Times Cited: 3
A Building Operational Carbon Emissions Database of 362 Chinese Cities: Construction Process and Spatiotemporal Characteristic Analysis
Qi Wang, Xinyu Jia, Yang Zhao, et al.
Developments in the Built Environment (2024), pp. 100546-100546
Open Access | Times Cited: 3
Spatiotemporal prediction of carbon emissions using a hybrid deep learning model considering temporal and spatial correlations
Yixiang Chen, Yuxin Xie, Dang Xu, et al.
Environmental Modelling & Software (2023) Vol. 172, pp. 105937-105937
Closed Access | Times Cited: 8
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
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
MSCL-Attention: A Multi-Scale Convolutional Long Short-Term Memory (LSTM) Attention Network for Predicting CO2 Emissions from Vehicles
Yi Xie, Lizhuang Liu, Zhenqi Han, et al.
Sustainability (2024) Vol. 16, Iss. 19, pp. 8547-8547
Open Access | Times Cited: 2
Achieving sustainability by identifying the influences of cutting parameters on the carbon emissions of a milling process
Aniket Mishra, Her‐Terng Yau, Ping‐Huan Kuo, et al.
The International Journal of Advanced Manufacturing Technology (2024)
Closed Access | Times Cited: 2
Carbon Emission Projection and Carbon Quota Allocation in the Beijing–Tianjin–Hebei Region of China under Carbon Neutrality Vision
Shuohua Zhang, Hanning Dong, Can Lu, et al.
Sustainability (2023) Vol. 15, Iss. 21, pp. 15306-15306
Open Access | Times Cited: 4
ForestAdvisor: A multi-modal forest decision-making system based on carbon emissions
Tong Ji, Yifeng Lin, Yuer Yang
Environmental Modelling & Software (2024) Vol. 181, pp. 106190-106190
Open Access | Times Cited: 1
Estimation of carbon emissions in various clustered regions of China based on OCO-2 satellite XCO2 data and random forest modelling
Yibing Tan, Shanshan Wang, Ruibin Xue, et al.
Atmospheric Environment (2024) Vol. 338, pp. 120860-120860
Closed Access | Times Cited: 1
CO2 emission prediction based on carbon verification data of 17 thermal power enterprises in Gansu Province
Wei Shi, Jiapeng Yang, Fuwei Qiao, et al.
Environmental Science and Pollution Research (2023) Vol. 31, Iss. 2, pp. 2944-2959
Closed Access | Times Cited: 3
Predicting the Risks of Greenhouse Gases at Raising Temperatures in Syria Using Artificial Intelligence Models
Majd Namaa, Wafaa Rajab
(2024) Vol. 1, Iss. 1, pp. 1-7
Open Access
Estimating carbon sequestration potential and optimizing management strategies for Moso bamboo (Phyllostachys pubescens) forests using machine learning
Shaofeng Lv, Ning Yuan, Xiaobo Sun, et al.
Frontiers in Forests and Global Change (2024) Vol. 7
Open Access
Investigating the nonlinear carbon reduction effect of AI: empirical insights from China’s provincial level
Tongping Xie, Xuwei Wang
Frontiers in Environmental Science (2024) Vol. 12
Open Access
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