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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.

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Showing 22 citing articles:

Research on spillover effect between carbon market and electricity market: Evidence from Northern Europe
Yihang Zhao, Zhenxi Zhou, Kaiwen Zhang, et al.
Energy (2022) Vol. 263, pp. 126107-126107
Closed Access | Times Cited: 35
Efficient greenhouse gas prediction using IoT data streams and a CNN-BiLSTM-KAN model
Jinyu Zhang, Liguo Zhao
Alexandria Engineering Journal (2025)
Open Access
A text-based framework for carbon price forecasting via multivariate temporal graph neural network
Dabin Zhang, Zehui Yu, Zhimei Zeng, et al.
The Journal of Supercomputing (2025) Vol. 81, Iss. 3
Closed Access
Forecasting carbon price: A novel multi-factor spatial-temporal GNN framework integrating graph WaveNet and self-attention mechanism
Jin Cao, Xie Chi, Yang Zhou, et al.
Energy Economics (2025), pp. 108318-108318
Closed Access
Stock Market Index Prediction Using CEEMDAN‐LSTM‐BPNN‐Decomposition Ensemble Model
John Kamwele Mutinda, Abebe Geletu
Journal of Applied Mathematics (2025) Vol. 2025, Iss. 1
Open Access
Robust Dynamic Modeling of Bed Temperature in Utility Circulating Fluidized Bed Boilers Using a Hybrid CEEMDAN-NMI–iTransformer Framework
Qianyu Li, Guanglong Wang, Xian Li, et al.
Processes (2025) Vol. 13, Iss. 3, pp. 816-816
Open Access
A multi-factor forecasting model for carbon emissions based on decomposition and swarm intelligence optimization
Hong Yang, Maozhu Wang, Guohui Li
Measurement (2023) Vol. 222, pp. 113554-113554
Closed Access | Times Cited: 12
Forecasting carbon price using signal processing technology and extreme gradient boosting optimized by the whale optimization algorithm
Yonghui Duan, J. Zhang, Xiang Wang, et al.
Energy Science & Engineering (2024) Vol. 12, Iss. 3, pp. 810-834
Open Access | Times Cited: 3
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
Point and interval forecasting for carbon trading price: a case of 8 carbon trading markets in China
Yihang Zhao, Huiru Zhao, Bingkang Li, et al.
Environmental Science and Pollution Research (2023)
Open Access | Times Cited: 9
A Multi-Factor Selection and Fusion Method through the CNN-LSTM Network for Dynamic Price Forecasting
Yishun Liu, Chunhua Yang, Keke Huang, et al.
Mathematics (2023) Vol. 11, Iss. 5, pp. 1132-1132
Open Access | Times Cited: 7
Time-frequency analysis and machine learning models for carbon market forecasting
Jules Sadefo Kamdem, Passy Miano Mukami, James B. Njong
Annals of Operations Research (2023)
Closed Access | Times Cited: 7
Forecasting the Return of Carbon Price in the Chinese Market Based on an Improved Stacking Ensemble Algorithm
Peng Ye, Yong Li, Abu Bakkar Siddik
Energies (2023) Vol. 16, Iss. 11, pp. 4520-4520
Open Access | Times Cited: 4
A Hybrid Model for Carbon Price Forecasting Based on Improved Feature Extraction and Non-Linear Integration
Yingjie Zhu, Yongfa Chen, Qiuling Hua, et al.
Mathematics (2024) Vol. 12, Iss. 10, pp. 1428-1428
Open Access | Times Cited: 1
Forecasting China’s carbon emissions trading volume by an improved weighted grey power model
Xinying Xie, Lianyi Liu
Energy Sources Part A Recovery Utilization and Environmental Effects (2023) Vol. 45, Iss. 4, pp. 9894-9909
Closed Access | Times Cited: 2
Deep Learning in Carbon Neutrality Forecasting
Jiwei Ran, Ganchang Zou, Yingjie Niu
Journal of Organizational and End User Computing (2024) Vol. 36, Iss. 1, pp. 1-23
Open Access
A Novel Approach for Assessing Carbon Emission Reduction Cost with Machine Learning and Data Envelopment Analysis Methods
Zhongwen Xu, Yiqiong Wu
(2024)
Closed Access
Optimizing Project Time and Cost Prediction Using a Hybrid XGBoost and Simulated Annealing Algorithm
Ali Akbar ForouzeshNejad, Farzad Arabikhan, Shohin Aheleroff
Machines (2024) Vol. 12, Iss. 12, pp. 867-867
Open Access
Carbon Emission Right Price Prediction Model Based on CEEMDAN-IWOA-LSTM
MingSheng Yang, P. L. Li, Kexin Fu
(2024), pp. 681-688
Closed Access
Price, Complexity, and Mathematical Model
Na Fu, Liyan Geng, Junhai Ma, et al.
Mathematics (2023) Vol. 11, Iss. 13, pp. 2883-2883
Open Access | Times Cited: 1
Urban Carbon Price Forecasting by Fusing Remote Sensing Images and Historical Price Data
Chao Mou, Zheng Xie, Yu Li, et al.
Forests (2023) Vol. 14, Iss. 10, pp. 1989-1989
Open Access
Integrating Electric Vehicles into Distribution Networks: A Low-Carbon Optimization Approach Using Vehicle-to-Grid Technology
Bingxuan Yu, Xiang Lei, Hang Yu, et al.
2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2) (2023), pp. 705-710
Closed Access
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