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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:

Prediction of direct carbon emissions of Chinese provinces using artificial neural networks
Jin Hui
PLoS ONE (2021) Vol. 16, Iss. 5, pp. e0236685-e0236685
Open Access | Times Cited: 22

Showing 22 citing articles:

A combined prediction model based on secondary decomposition and intelligence optimization for carbon emission
Hong Yang, Maozhu Wang, Guohui Li
Applied Mathematical Modelling (2023) Vol. 121, pp. 484-505
Closed Access | Times Cited: 30
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
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: 6
Data-Driven Net-Zero Carbon Monitoring: Applications of Geographic Information Systems, Building Information Modelling, Remote Sensing, and Artificial Intelligence for Sustainable and Resilient Cities
Jilong Li, Sara Shirowzhan, Gloria Pignatta, et al.
Sustainability (2024) Vol. 16, Iss. 15, pp. 6285-6285
Open Access | Times Cited: 6
Ensemble framework for multistep carbon emission prediction: an improved Bi-LSTM model based on the Bayesian optimization algorithm and two-stage decomposition
Qi Song, Yulong Bai, Rui Wang, et al.
Stochastic Environmental Research and Risk Assessment (2025)
Closed Access
A circularity accounting network: CO2 measurement along supply chains using machine learning
Forrest Fabian Jesse, Carla Antonini, Mercedes Luque‐Vílchez
Revista de Contabilidad (2023) Vol. 26, Iss. Special, pp. 21-33
Open Access | Times Cited: 9
Research of Carbon Emission Prediction: An Oscillatory Particle Swarm Optimization for Long Short-Term Memory
Yiqing Chen, Zongzhu Chen, Kang Li, et al.
Processes (2023) Vol. 11, Iss. 10, pp. 3011-3011
Open Access | Times Cited: 7
A Gated Recurrent Unit Model with Fibonacci Attenuation Particle Swarm Optimization for Carbon Emission Prediction
Jia Guo, Jiacheng Li, Yuji Sato, et al.
Processes (2024) Vol. 12, Iss. 6, pp. 1063-1063
Open Access | Times Cited: 2
Deep Learning-Based Approach for Optimizing Urban Commercial Space Expansion Using Artificial Neural Networks
Dawei Yang, Jiahui Zhao, Ping Xu, et al.
(2024)
Open Access | Times Cited: 1
Study on carbon emission driving factors and carbon peak forecasting in power sector of Shanxi province
Wei Hu, Tingting Zheng, Yi Zhang
PLoS ONE (2024) Vol. 19, Iss. 7, pp. e0305665-e0305665
Open Access | Times Cited: 1
Carbon emission prediction in a region of Hainan Province based on improved STIRPAT model
Jiaojiao Tang, Junfang Zheng, Guangchao Yang, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 49, pp. 58795-58817
Closed Access | Times Cited: 1
Application of carbon emission prediction based on a combined neural algorithm in the control of coastal environmental pollution in China
Bin Wang
Frontiers in Ecology and Evolution (2022) Vol. 10
Open Access | Times Cited: 5
Research on net carbon emissions, influencing factor analysis, and model construction based on a neural network model in the BTH region
Feng Ren, Mengyuan Guo
Journal of Renewable and Sustainable Energy (2022) Vol. 14, Iss. 6
Open Access | Times Cited: 3
Deep Learning-based Approach for Optimizing Urban Commercial Space Expansion Using Artificial Neural Networks
Dawei Yang, Jiahui Zhao, Ping Xu
(2024)
Open Access
Deep Learning-Based Approach for Optimizing Urban Commercial Space Expansion Using Artificial Neural Networks
Dawei Yang, Jiahui Zhao, Ping Xu
Applied Sciences (2024) Vol. 14, Iss. 9, pp. 3845-3845
Open Access
Ensemble Framework for Multistep Carbon Emission Prediction: An Improved Bi-LSTM Model Based on the Bayesian Optimization Algorithm and Two-Stage Decomposition
Qi Song, Yulong Bai, Rui Wang, et al.
Research Square (Research Square) (2024)
Open Access
Constructing a predicting model for ecological footprint in G20 countries through artificial neural network
Ahmad Roumiani, kiyan shakarami, Abdul Basir Arian
Energy & Environment (2024)
Closed Access
Indirect carbon emissions from household consumption of middle-income groups: evidence from Yangtze River Economic Belt in China
Qinghua Pang, min xiang, Lina Zhang
Research Square (Research Square) (2022)
Open Access | Times Cited: 2
A circularity accounting model for CO2: Artificial neural networks for estimating CO2 values in observation of planetary boundaries.
Forrest Fabian Jesse, Carla Antonini, Mercedes Luque
SSRN Electronic Journal (2021)
Closed Access | Times Cited: 1
Carbon Footprint Prediction in the Philippines Using Time Series in Data Science
Sweethy Jhoden Lim, Ma. Mica Ella Cortez, Rosanna Esquivel
(2023)
Open Access
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
Carbon Emission Prediction in a Region ofHainan Province Based on Improved STIRPAT Model
Jiaojiao Tang, Junfang Zheng, Guangchao Yang, et al.
Research Square (Research Square) (2023)
Open Access
Advanced Neural Network Models in Forecasting Carbon Emissions
Shengkai Xu
Highlights in Science Engineering and Technology (2022) Vol. 26, pp. 335-345
Open Access
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