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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:

Carbon price prediction using multiple hybrid machine learning models optimized by genetic algorithm
Ozan Nadirgil
Journal of Environmental Management (2023) Vol. 342, pp. 118061-118061
Closed Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

Enhancing carbon price point-interval multi-step-ahead prediction using a hybrid framework of autoformer and extreme learning machine with multi-factors
Baoli Wang, Zhaocai Wang, Zhiyuan Yao
Expert Systems with Applications (2025), pp. 126467-126467
Closed Access | Times Cited: 4
Urban carbon emission scenario prediction and multi-objective land use optimization strategy under carbon emission constraints
Xin Zhang, D. Zhang
Journal of Cleaner Production (2023) Vol. 430, pp. 139684-139684
Closed Access | Times Cited: 26
Assessing and decoupling ecosystem services evolution in karst areas: A multi-model approach to support land management decision-making
Ling Xiong, Rui Li
Journal of Environmental Management (2023) Vol. 350, pp. 119632-119632
Closed Access | Times Cited: 23
Hybrid carbon price forecasting using a deep augmented FEDformer model and multimodel optimization piecewise error correction
Jun‐Tao Hong, Yulong Bai, Yu‐Ting Huang, et al.
Expert Systems with Applications (2024) Vol. 247, pp. 123325-123325
Closed Access | Times Cited: 11
A multifactor hybrid model for carbon price interval prediction based on decomposition-integration framework
Guozhong Zheng, Kang Li, Xuhui Yue, et al.
Journal of Environmental Management (2024) Vol. 363, pp. 121273-121273
Closed Access | Times Cited: 10
Spatio-temporal distribution and peak prediction of energy consumption and carbon emissions of residential buildings in China
Jiayi Tan, Shanbi Peng, Enbin Liu
Applied Energy (2024) Vol. 376, pp. 124330-124330
Closed Access | Times Cited: 9
Optimizing photovoltaic power plant forecasting with dynamic neural network structure refinement
Dácil Díaz-Bello, Carlos Vargas‐Salgado, Manuel Alcázar-Ortega, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
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 | Times Cited: 1
Predicting carbon futures prices based on a new hybrid machine learning: Comparative study of carbon prices in different periods
Xi Zhang, Kailing Yang, Qin Lu, et al.
Journal of Environmental Management (2023) Vol. 346, pp. 118962-118962
Closed Access | Times Cited: 18
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
Dynamic real-time forecasting technique for reclaimed water volumes in urban river environmental management
Lina Zhang, Chao Wang, Wenbin Hu, et al.
Environmental Research (2024) Vol. 248, pp. 118267-118267
Closed Access | Times Cited: 7
Framework for multivariate carbon price forecasting: A novel hybrid model
Xuankai Zhang, Ying Zong, Pei Du, et al.
Journal of Environmental Management (2024) Vol. 369, pp. 122275-122275
Closed Access | Times Cited: 7
Model-driven multimodal LSTM-CNN for unbiased structural forecasting of European Union allowances open-high-low-close price
Wenyang Huang, Jianyu Zhao, Xiaokang Wang
Energy Economics (2024) Vol. 132, pp. 107459-107459
Closed Access | Times Cited: 6
A multiple feature fusion-based intelligent optimization ensemble model for carbon price forecasting
Jujie Wang, Jian Guo Dong, Xin Zhang, et al.
Process Safety and Environmental Protection (2024) Vol. 187, pp. 1558-1575
Closed Access | Times Cited: 6
Predicting energy prices based on a novel hybrid machine learning: Comprehensive study of multi-step price forecasting
Kailing Yang, Xi Zhang, Haojia Luo, et al.
Energy (2024) Vol. 298, pp. 131321-131321
Closed Access | Times Cited: 5
Carbon price forecasting using leaky integrator echo state networks with the framework of decomposition-reconstruction-integration
Yun Bai, Shuyun Deng, Ziqiang Pu, et al.
Energy (2024) Vol. 305, pp. 132338-132338
Closed Access | Times Cited: 5
Leveraging machine learning to forecast carbon returns: Factors from energy markets
Yingying Xu, Yifan Dai, Lingling Guo, et al.
Applied Energy (2023) Vol. 357, pp. 122515-122515
Closed Access | Times Cited: 12
Dual-stream Transformer-attention fusion network for short-term carbon price prediction
Han Wu, Pei Du
Energy (2024), pp. 133374-133374
Closed Access | Times Cited: 4
Incorporating key features from structured and unstructured data for enhanced carbon trading price forecasting with interpretability analysis
Ming Jiang, Jinxing Che, Shuying Li, et al.
Applied Energy (2025) Vol. 382, pp. 125301-125301
Closed Access
A hybrid model for carbon price forecasting based on SSA-NSTransformer: Considering the role of multi-stage carbon reduction targets
Jinchao Li, Yuwei Guo
Journal of Environmental Management (2025) Vol. 375, pp. 124237-124237
Closed Access
The interactions of carbon emission driving forces: Analysis based on interpretable machine learning
Zhaoyingzi Dong, Jiayan Shi, Sheng Pan
Urban Climate (2025) Vol. 59, pp. 102323-102323
Closed 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
System Dynamics Simulation Model of Price Transmission in Collaboration Market of Electricity, Carbon, and Green Certificate Driven by Multiple Policies
Shuo Zhang, Zhenhao Xu, Yingzi Li, et al.
Energy (2025), pp. 135852-135852
Closed Access
A new method for the rate of penetration prediction and control based on signal decomposition and causal inference
Yong-Dong Fan, Huiwen Pang, Yan Jin, et al.
Petroleum Science (2025)
Open Access
Multi-grained adaptive informer for multi-step solar irradiance forecasting
Xiang Ma, Jianwei Wang, Jing Huang, et al.
Expert Systems with Applications (2025), pp. 127412-127412
Closed Access
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