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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 non-parametric analysis of the driving factors of China's carbon prices
Boqiang Lin, Bin Xu
Energy Economics (2021) Vol. 104, pp. 105684-105684
Closed Access | Times Cited: 45

Showing 1-25 of 45 citing articles:

How does economic growth target affect corporate environmental investment? Evidence from heavy-polluting industries in China
Qiming Zhong, Huwei Wen, Chien‐Chiang Lee
Environmental Impact Assessment Review (2022) Vol. 95, pp. 106799-106799
Closed Access | Times Cited: 146
The alternative path for fossil oil: Electric vehicles or hydrogen fuel cell vehicles?
Wenyue Zhang, Xingming Fang, Chuanwang Sun
Journal of Environmental Management (2023) Vol. 341, pp. 118019-118019
Closed Access | Times Cited: 125
Characteristics and key trends of global electric vehicle technology development: A multi-method patent analysis
Shao-Chao Ma, Jin-Hua Xu, Ying Fan
Journal of Cleaner Production (2022) Vol. 338, pp. 130502-130502
Closed Access | Times Cited: 74
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: 37
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: 28
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
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: 10
Unveiling the driving patterns of carbon prices through an explainable machine learning framework: Evidence from Chinese emission trading schemes
Heng Lei, Minggao Xue, Huiling Liu, et al.
Journal of Cleaner Production (2024) Vol. 438, pp. 140697-140697
Closed Access | Times Cited: 8
Has the outbreak of COVID-19 changed the carbon market?
I‐Chun Tsai
Economic Change and Restructuring (2025) Vol. 58, Iss. 1
Open Access | Times Cited: 1
A spatial analysis of an effective path for low-carbon development of energy-intensive industries
Bin Xu
Sustainable Production and Consumption (2023) Vol. 37, pp. 227-241
Closed Access | Times Cited: 22
The Influencing Factors of the Carbon Trading Price: A Case of China against a “Double Carbon” Background
Shaolong Zeng, Qinyi Fu, Yang Dan-ni, et al.
Sustainability (2023) Vol. 15, Iss. 3, pp. 2203-2203
Open Access | Times Cited: 21
Earnings pressure and corporate carbon emissions: Empirical evidence from listed firms in China
Yan Song, Lijun Cai, Ming Zhang
Resources Conservation and Recycling (2024) Vol. 206, pp. 107657-107657
Closed Access | Times Cited: 7
Effectiveness of CO2 cost pass-through to electricity prices under “electricity-carbon” market coupling in China
Haoran Wang, Tiantian Feng, Cheng Zhong
Energy (2022) Vol. 266, pp. 126387-126387
Closed Access | Times Cited: 26
The driving factors of China's carbon prices: Evidence from using ICEEMDAN-HC method and quantile regression
Ying Lin Liu, Jing Jie Zhang, Yan Fang
Finance research letters (2023) Vol. 54, pp. 103756-103756
Closed Access | Times Cited: 16
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: 5
Extreme weather, climate risk, and the lead–lag role of carbon
Zhang-HangJian Chen, Wei-Wei Chu, Xiang Gao, et al.
Global Finance Journal (2024) Vol. 61, pp. 100974-100974
Closed Access | Times Cited: 5
Carbon emissions trading price forecasting based on temporal-spatial multidimensional collaborative attention network and segment imbalance regression
Hao Yin, Yiding Yin, Hanhong Li, et al.
Applied Energy (2024) Vol. 377, pp. 124357-124357
Closed Access | Times Cited: 5
A Novel Hybrid Price Prediction Model for Multimodal Carbon Emission Trading Market Based on CEEMDAN Algorithm and Window-Based XGBoost Approach
Chao Zhang, Yihang Zhao, Huiru Zhao
Mathematics (2022) Vol. 10, Iss. 21, pp. 4072-4072
Open Access | Times Cited: 22
Interactions between carbon prices and the construction industry in China: Evidence based on Network-SVAR
Yingying Xu, Ziling Xu, Yuliang Zhou, et al.
Building and Environment (2022) Vol. 215, pp. 108936-108936
Closed Access | Times Cited: 20
The role of fundamentals and policy in New Zealand's carbon prices
Ling Liao, Ivan Diaz‐Rainey, Duminda Kuruppuarachchi, et al.
Energy Economics (2023) Vol. 124, pp. 106737-106737
Open Access | Times Cited: 12
Assessing Contagion Risks of Carbon Reduction Policies on the Stock Returns: Evidence from China’s Energy Markets
Cody Yu‐Ling Hsiao, Yi‐Bin Chiu, Yuran Wang
Emerging Markets Finance and Trade (2024) Vol. 60, Iss. 12, pp. 2783-2804
Closed Access | Times Cited: 4
Carbon Price Fluctuation Prediction Using a Novel Hybrid Statistics and Machine Learning Approach
Dawei Shang
(2025)
Closed Access
Examining the interactions of carbon, electricity, and natural gas markets
Wenjun Chu, Liwei Fan, Peng Zhou
Frontiers of Engineering Management (2025)
Closed Access
Carbon price fluctuation prediction using a novel hybrid statistics and machine learning approach
Dawei Shang, Yudan Pang, Haijie Wang
Energy (2025), pp. 135581-135581
Closed Access
Hidden environmental costs of economic ambitions: An empirical study of pollution emissions in the wake of growth targets
Lili Guo, Meiyi Yang, Mengying Su, et al.
Journal of Cleaner Production (2024) Vol. 450, pp. 141925-141925
Closed Access | Times Cited: 3
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