Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 multi-factor integrated model for carbon price forecasting: Market interaction promoting carbon emission reduction
Lu‐Tao Zhao, Jing Miao, Shen Qu, et al.
The Science of The Total Environment (2021) Vol. 796, pp. 149110-149110
Closed Access | Times Cited: 86

Showing 1-25 of 86 citing articles:

Asymmetric effects of decomposed oil-price shocks on the EU carbon market dynamics
Xiaohang Ren, Yiying Li, Yinshu Qi, et al.
Energy (2022) Vol. 254, pp. 124172-124172
Closed Access | Times Cited: 76
Predicting China's carbon price based on a multi-scale integrated model
Shaozhou Qi, Shihan Cheng, Xiujie Tan, et al.
Applied Energy (2022) Vol. 324, pp. 119784-119784
Closed Access | Times Cited: 69
Can fossil energy make a soft landing？— the carbon-neutral pathway in China accompanying CCS
Yingying Hu, Wei Wu
Energy Policy (2023) Vol. 174, pp. 113440-113440
Closed Access | Times Cited: 45
Artificial intelligence and corporate carbon neutrality: A qualitative exploration
Adeel Luqman, Qingyu Zhang, Shalini Talwar, et al.
Business Strategy and the Environment (2024) Vol. 33, Iss. 5, pp. 3986-4003
Open Access | Times Cited: 16
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
A new carbon price prediction model
Guohui Li, Zhiyuan Ning, Hong Yang, et al.
Energy (2021) Vol. 239, pp. 122324-122324
Closed Access | Times Cited: 57
Hodrick–Prescott filter-based hybrid ARIMA–SLFNs model with residual decomposition scheme for carbon price forecasting
Quande Qin, Zhaorong Huang, Zhihao Zhou, et al.
Applied Soft Computing (2022) Vol. 119, pp. 108560-108560
Closed Access | Times Cited: 50
Ensemble forecasting system based on decomposition-selection-optimization for point and interval carbon price prediction
Jianzhou Wang, Ying Wang, Hongmin Li, et al.
Applied Mathematical Modelling (2022) Vol. 113, pp. 262-286
Open Access | Times Cited: 40
Probabilistic carbon price prediction with quantile temporal convolutional network considering uncertain factors
Yang Cao, Donglan Zha, Qunwei Wang, et al.
Journal of Environmental Management (2023) Vol. 342, pp. 118137-118137
Closed Access | Times Cited: 35
An enhanced hybrid model based on multiple influencing factors and divide-conquer strategy for carbon price prediction
Jujie Wang, Zhenzhen Zhuang, Dongming Gao
Omega (2023) Vol. 120, pp. 102922-102922
Closed Access | Times Cited: 35
A novel deep learning carbon price short-term prediction model with dual-stage attention mechanism
Yanfeng Wang, Ling Qin, Qingrui Wang, et al.
Applied Energy (2023) Vol. 347, pp. 121380-121380
Closed Access | Times Cited: 27
A hybrid forecasting approach for China's national carbon emission allowance prices with balanced accuracy and interpretability
Yaqi Mao, Xiaobing Yu
Journal of Environmental Management (2023) Vol. 351, pp. 119873-119873
Closed Access | Times Cited: 21
A multiscale and multivariable differentiated learning for carbon price forecasting
Linfei Chen, Zhao Xuefeng
Energy Economics (2024) Vol. 131, pp. 107353-107353
Closed Access | Times Cited: 13
Carbon emission price point-interval forecasting based on multivariate variational mode decomposition and attention-LSTM model
Liling Zeng, Huanling Hu, Huajun Tang, et al.
Applied Soft Computing (2024) Vol. 157, pp. 111543-111543
Closed Access | Times Cited: 10
Forecasting carbon prices in China's pilot carbon market: A multi-source information approach with conditional generative adversarial networks
Zhigang Huang, Weilan Zhang
Journal of Environmental Management (2024) Vol. 359, pp. 120967-120967
Closed Access | Times Cited: 9
Carbon futures price forecasting based on feature selection
Yuan Zhao, Yaohui Huang, Zhijin Wang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 135, pp. 108646-108646
Open Access | Times Cited: 8
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: 8
Exploring volatility of carbon price in European Union due to COVID-19 pandemic
Feng Dong, Yujin Gao, Yangfan Li, et al.
Environmental Science and Pollution Research (2021) Vol. 29, Iss. 6, pp. 8269-8280
Open Access | Times Cited: 40
Effects of COVID-19 vaccination programs on EU carbon price forecasts: Evidence from explainable machine learning
Cai Yang, Hongwei Zhang, Futian Weng
International Review of Financial Analysis (2023) Vol. 91, pp. 102953-102953
Closed Access | Times Cited: 20
Causal carbon price interval prediction using lower upper bound estimation combined with asymmetric multi-objective evolutionary algorithm and long short-term memory
Jujie Wang, Maolin He, Weiyi Jiang
Expert Systems with Applications (2023) Vol. 236, pp. 121286-121286
Closed Access | Times Cited: 19
An enhanced decomposition integration model for deterministic and probabilistic carbon price prediction based on two-stage feature extraction and intelligent weight optimization
Xin Zhang, Jujie Wang
Journal of Cleaner Production (2023) Vol. 415, pp. 137791-137791
Closed Access | Times Cited: 17
The dynamic linkages among crude oil price, climate change and carbon price in China
Houjian Li, Xinya Huang, Deheng Zhou, et al.
Energy Strategy Reviews (2023) Vol. 48, pp. 101123-101123
Open Access | Times Cited: 17
Identifying drivers of county-level industrial carbon intensity by a generic machine learning framework
Siru Tao, Xinyue Wu, Kai Fang, et al.
Journal of Cleaner Production (2024) Vol. 454, pp. 142276-142276
Closed Access | Times Cited: 7
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
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
Page 1 - Next Page

Scroll to top