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:

Prediction of Carbon Emissions in China’s Power Industry Based on the Mixed-Data Sampling (MIDAS) Regression Model
Xiaoxiang Xu, Mingqiu Liao
Atmosphere (2022) Vol. 13, Iss. 3, pp. 423-423
Open Access | Times Cited: 17

Showing 17 citing articles:

Forecast energy demand, CO2 emissions and energy resource impacts for the transportation sector
Majid Emami Javanmard, Yidan Tang, Zhongjie WANG, et al.
Applied Energy (2023) Vol. 338, pp. 120830-120830
Closed Access | Times Cited: 69

Recent Progress in Metal Oxide-Based Photocatalysts for CO2 Reduction to Solar Fuels: A Review
Xuanzhen Li, Jing Xiong, Zhiling Tang, et al.
Molecules (2023) Vol. 28, Iss. 4, pp. 1653-1653
Open Access | Times Cited: 24

Designing a Green Logistics Networks Under Carbon Tax Policy: Post-COVID Condition
Sina Abbasi, Sasan Mazaheri, Hamid Reza Talaie, et al.
Results in Engineering (2024) Vol. 23, pp. 102830-102830
Open Access | Times Cited: 11

Prediction of greenhouse gas emissions in Türkiye with long short-term memory (LSTM) and 1-dimensional convolutional neural network (1-DCNN) algorithms
Zeki Yılbaşı, Gökalp Çınarer, Nevfel Yunus Coşkun, et al.
International Journal of Green Energy (2025), pp. 1-27
Closed Access

Integrating IoT data and reinforcement learning for adaptive macroeconomic policy optimization
Cong Peng, Y X Zhang, Liheng Jiang
Alexandria Engineering Journal (2025) Vol. 119, pp. 222-231
Open Access

Research on the community electric carbon emission prediction considering the dynamic emission coefficient of power system
Hui Yu, Yang Yang, Bin Li, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 9

Dynamic spatial–temporal model for carbon emission forecasting
Mingze Gong, Yongqi Zhang, Jia Li, et al.
Journal of Cleaner Production (2024) Vol. 463, pp. 142581-142581
Closed Access | Times Cited: 2

Forecasting tourist flows in the COVID‐19 era using nonparametric mixed‐frequency VARs
Wanhai You, Yuming Huang, Chien‐Chiang Lee
Journal of Forecasting (2023) Vol. 43, Iss. 2, pp. 473-489
Closed Access | Times Cited: 4

Global Economic Policy Uncertainty and Global Economic Leaders’ Influence on Regional Economic Growth
Guillermo Benavides Perales, Carmen Borrego-Salcido
Deleted Journal (2024) Vol. 19, Iss. 4, pp. 1-22
Open Access

Comparing MIDAS and Bayesian VAR Models for GDP Forecasting: Insights from Simulation and Empirical Studies
Samir K. Safi, Olajide Idris Sanusi, Afreen Arif
Studies in big data (2024), pp. 729-744
Closed Access

Achieving China's CO2 reduction targets: Insights from a hybrid PPA-PPR forecasting model
YU Xiao-hong, Haiyan Xu, Jun Yin, et al.
Journal of Environmental Management (2024) Vol. 372, pp. 123409-123409
Closed Access

A U-MIDAS modeling framework for forecasting carbon dioxide emissions based on LSTM network and LASSO regression
Chunzi Wang, Fusheng Xie, Junpeng Yan, et al.
Energy Reports (2024) Vol. 13, pp. 16-26
Closed Access

Combined Forecasting Method of Carbon Trading Volume Based on Wavelet Transform and CNN-GRU
浩 王
Modeling and Simulation (2023) Vol. 12, Iss. 03, pp. 2040-2048
Closed Access | Times Cited: 1

Chinese Economic Growth Projections Based on Mixed Data of Carbon Emissions under the COVID-19 Pandemic
Rong Fu, Luze Xie, Tao Liu, et al.
Sustainability (2022) Vol. 14, Iss. 24, pp. 16762-16762
Open Access | Times Cited: 1

Carbon Emissions Prediction of Power Industry Based on Extended LMDI and CNN-LSTM
Mengru Shen, Jiazhu Xu, Zhenglu Shi, et al.
2021 International Conference on Power System Technology (POWERCON) (2023), pp. 1-7
Closed Access

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