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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 forecasting based on secondary decomposition and feature screening
Jingmiao Li, Dehong Liu
Energy (2023) Vol. 278, pp. 127783-127783
Closed Access | Times Cited: 34

Showing 1-25 of 34 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
Robust Runoff Prediction With Explainable Artificial Intelligence and Meteorological Variables From Deep Learning Ensemble Model
Junhao Wu, Zhaocai Wang, Jinghan Dong, et al.
Water Resources Research (2023) Vol. 59, Iss. 9
Closed Access | Times Cited: 29
A secondary decomposition-ensemble framework for interval carbon price forecasting
Shuihan Liu, Gang Xie, Zhengzhong Wang, et al.
Applied Energy (2024) Vol. 359, pp. 122613-122613
Closed Access | Times Cited: 12
A multi-head attention mechanism aided hybrid network for identifying batteries’ state of charge
Zongxiang Li, Liwei Li, Jing Chen, et al.
Energy (2023) Vol. 286, pp. 129504-129504
Closed Access | Times Cited: 16
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
A novel prediction model for integrated district energy system based on secondary decomposition and artificial rabbits optimization
Yan Guo, Qichao Tang, Jo Darkwa, et al.
Energy and Buildings (2024) Vol. 310, pp. 114106-114106
Closed Access | Times Cited: 5
Breaking through the limitation of carbon price forecasting: A novel hybrid model based on secondary decomposition and nonlinear integration
Yuqiao Lan, Yubin Huangfu, Zhehao Huang, et al.
Journal of Environmental Management (2024) Vol. 362, pp. 121253-121253
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
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
Forecasting China’s Short-Term Energy Futures Price Using a Novel Secondary Decomposition-Optimized System
Zhe Jiang, Zili Zhang, Lin Zhang
Computational Economics (2025)
Open Access
Carbon prices forecasting based on sliding time window and improved support vector regression
Shangang Jia, Zhanglu Tan, Chao Li
Computing (2025) Vol. 107, Iss. 2
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
Forecasting carbon price in Hubei Province using a mixed neural model based on mutual information and Multi-head Self-Attention
Youyang Ren, Yuan-zhong Huang, Yuhong Wang, et al.
Journal of Cleaner Production (2025), pp. 144960-144960
Closed Access
From forecasting to trading: A multimodal-data-driven approach to reversing carbon market losses
Shuihan Liu, Mingchen Li, Kun Yang, et al.
Energy Economics (2025) Vol. 144, pp. 108350-108350
Closed Access
A study on the differentiation of carbon prices in China: insights from eight carbon emissions trading pilots
Tianshu Zhang, Menghua Deng
Journal of Cleaner Production (2025), pp. 145279-145279
Closed Access
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: 4
Evaluating Predictive Models for Three Green Finance Markets: Insights from Statistical vs. Machine Learning Approaches
Sonia Benghiat, Salim Lahmiri
Computation (2025) Vol. 13, Iss. 3, pp. 76-76
Open Access
Carbon price prediction based on decomposition technique and extreme gradient boosting optimized by the grey wolf optimizer algorithm
Mengdan Feng, Yonghui Duan, Xiang Wang, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 7
Forecasting China carbon price using an error-corrected secondary decomposition hybrid model integrated fuzzy dispersion entropy and deep learning paradigm
Po Yun, Yingtong Zhou, Chenghui Liu, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 11, pp. 16530-16553
Open Access | Times Cited: 2
Short-Term Traffic Flow Forecasting Method Based on Secondary Decomposition and Conventional Neural Network–Transformer
Qichun Bing, Panpan Zhao, Canzheng Ren, et al.
Sustainability (2024) Vol. 16, Iss. 11, pp. 4567-4567
Open Access | Times Cited: 2
A hybrid carbon price forecasting model combining time series clustering and data augmentation
Yue Wang, Wang Zhong, Yuyan Luo
Energy (2024) Vol. 308, pp. 132929-132929
Closed Access | Times Cited: 2
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: 2
A novel secondary decomposition method for forecasting crude oil price with twitter sentiment
Jieyi Li, Shuangyue Qian, Ling Li, et al.
Energy (2023) Vol. 290, pp. 129954-129954
Closed Access | Times Cited: 5
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
Carbon emission price forecasting in China using a novel secondary decomposition hybrid model of CEEMD-SE-VMD-LSTM
Ni Li, Venus Khim−Sen Liew
Systems Science & Control Engineering (2023) Vol. 12, Iss. 1
Open Access | Times Cited: 3
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