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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 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

Showing 12 citing articles:

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
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
MLP-Carbon: A new paradigm integrating multi-frequency and multi-scale techniques for accurate carbon price forecasting
Zhirui Tian, Wei Sun, Chenye Wu
Applied Energy (2025) Vol. 383, pp. 125330-125330
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
Optimising wellbore annular leakage detection and diagnosis model: A signal feature enhancement and hybrid intelligent optimised LSSVM approach
Zhongxi Zhu, Hong Liu, Wanneng Lei, et al.
Mechanical Systems and Signal Processing (2025) Vol. 228, pp. 112451-112451
Closed Access
A Novel Forecasting Framework Leveraging Large Language Model and Machine Learning for Methanol Price
Wenyang Wang, Yuping Luo, Mingrui Ma, et al.
Energy (2025), pp. 135123-135123
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
Joint interval forecasting of renewable energy stocks using a secondary decomposition approach
Shuihan Liu, Yunjie Wei, Pan Peng, et al.
Renewable Energy (2025), pp. 122763-122763
Closed Access
Natural Gas Futures Price Prediction Based on Variational Mode Decomposition–Gated Recurrent Unit/Autoencoder/Multilayer Perceptron–Random Forest Hybrid Model
Haisheng Yu, Shenhui Song
Sustainability (2025) Vol. 17, Iss. 6, pp. 2492-2492
Open Access
Carbon price prediction research based on CEEMDAN-VMD secondary decomposition and BiLSTM
Ming Fang, Yuanliang Zhang, Wei Liang, et al.
Environmental Science and Pollution Research (2025)
Closed Access
An optimal weight heterogeneous integrated carbon price prediction model based on temporal information extraction and specific comprehensive feature selection
Jujie Wang, S. B. Xu, Shuqin Shu
Energy (2024) Vol. 312, pp. 133654-133654
Closed Access | Times Cited: 1
Forecasting the carbon price of China's national carbon market: A novel dynamic interval-valued framework
Zhengzhong Wang, Yunjie Wei, Shouyang Wang
Energy Economics (2024), pp. 108107-108107
Closed Access | Times Cited: 1
Carbon Price Point–Interval Forecasting Based on Two-Layer Decomposition and Deep Learning Combined Model Using Weight Assignment
Xiwen Cui, Dongxiao Niu
Journal of Cleaner Production (2024), pp. 144124-144124
Closed Access
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