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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:

Industrial carbon emission forecasting considering external factors based on linear and machine learning models
Ye Liang, Pei Du, Shubin Wang
Journal of Cleaner Production (2023) Vol. 434, pp. 140010-140010
Closed Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Grey prediction of carbon emission and carbon peak in several developing countries
Kai Cai, Lifeng Wu
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108210-108210
Closed Access | Times Cited: 13
Implementing a provincial-level universal daily industrial carbon emissions prediction by fine-tuning the large language model
Zhengyuan Feng, Yuheng Sun, Jun Ning, et al.
Applied Energy (2025) Vol. 383, pp. 125372-125372
Closed Access | Times Cited: 1
Machine Learning-Based Carbon Emission Predictions and Customized Reduction Strategies for 30 Chinese Provinces
Soonhyun Hong, Ting Ting Fu, Ming Dai
Sustainability (2025) Vol. 17, Iss. 5, pp. 1786-1786
Open Access | Times Cited: 1
An innovative data-feature-driven approach for CO2 emission predictive analytics: A perspective from seasonality and nonlinearity characteristics
Song Ding, Xingao Shen, Huahan Zhang, et al.
Computers & Industrial Engineering (2024) Vol. 192, pp. 110195-110195
Closed Access | Times Cited: 8
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
Carbon emission prediction of 275 cities in China considering artificial intelligence effects and feature interaction: A heterogeneous deep learning modeling framework
Gongquan Zhang, Fangrong Chang, Jie Liu
Sustainable Cities and Society (2024) Vol. 114, pp. 105776-105776
Closed Access | Times Cited: 6
Exploring spatio-temporal heterogeneity of rural settlement patterns on carbon emission across more than 2800 Chinese counties using multiple supervised machine learning models
Xinxin Huang, Yansui Liu, Rudi Stouffs
Journal of Environmental Management (2025) Vol. 373, pp. 123932-123932
Closed Access
LSTM-SVM-Weibull modeling for decommissioning amount prediction of power batteries based on attention mechanism and ISPBO algorithm
Mengna Zhao, S. Chen
Applied Intelligence (2025) Vol. 55, Iss. 4
Closed Access
Towards Fault Detection in Industrial Equipment through Energy Consumption Analysis: Integrating Machine Learning and Statistical Methods
Nada Baddou, Afaf Dadda, Bouchra Rzine, et al.
E3S Web of Conferences (2025) Vol. 601, pp. 00079-00079
Open Access
LiDAR Image-Based Earth Carbon Emission Analysis and Its Impact on Public Health: A Machine Learning Model
S. Meghana, D. Lakshmi Padmaja, Krishna Sriharsha Gundu, et al.
Remote Sensing in Earth Systems Sciences (2025)
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
Recognition of state variation of ballast bed using integrated multi-dimensional motion characteristics of ballast particles
Haonan Xi, Longlong Fu, Shuchen Wang, et al.
International Journal of Rail Transportation (2025), pp. 1-22
Closed Access
Research on industrial carbon emission prediction method based on CNN–LSTM under dual carbon goals
Xuwei Xia, Dongge Zhu, Jiangbo Sha, et al.
International Journal of Low-Carbon Technologies (2025) Vol. 20, pp. 580-589
Open Access
Carbon Emission Accounting Method for Coal-fired Power Units of Different Coal Types under Peak Shaving Conditions
Haoyu Chen, Xi Chen, Guanwen Zhou, et al.
Energy (2025), pp. 135314-135314
Closed Access
Analyzing GHG Emission Forecasting in Korea's Semiconductor and Display Industries Using Grey Model
Inkyung Cho, Soohyeon Kim, Miyeon Yoo
Sustainable Futures (2025), pp. 100512-100512
Open Access
Carbon Emission Characteristics Research of Typical Drinking Water Treatment Plants in South China Based on Machine Learning Models
Zexing Li, Yueguang Lv, Lingfei Zhang, et al.
(2025)
Closed Access
Factors influencing carbon emissions and low-carbon paths in China’s transportation industry
Xinran Gao, Shuai Shao, Qiufeng Gao, et al.
Energy (2025), pp. 135778-135778
Closed Access
Logarithmic Mean Divisia Index Analysis and Dynamic Back Propagation Neural Network Prediction of Transport Carbon Emissions in Henan Province
Chongyang Mao, Jian Luo, Shihui Jiao, et al.
Energies (2025) Vol. 18, Iss. 7, pp. 1630-1630
Open Access
Construction and analysis of China’s carbon emission model based on machine learning
Jian Sun, Xinzi Wang, Mengkun Liang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A Novel Approach for Predicting CO2 Emissions in the Building Industry Using a Hybrid Multi-Strategy Improved Particle Swarm Optimization–Long Short-Term Memory Model
Yuyi Hu, Bojun Wang, Yanping Yang, et al.
Energies (2024) Vol. 17, Iss. 17, pp. 4379-4379
Open Access | Times Cited: 2
Applications of Fractional Order Logistic Grey Models for Carbon Emission Forecasting
Xiaoqiang He, Yuxin Song, Fengmin Yu, et al.
Fractal and Fractional (2024) Vol. 8, Iss. 3, pp. 145-145
Open Access | Times Cited: 1
Carbon peak prediction for differentiated cities from a low-carbon perspective: Key factors, scenario analysis, and low-carbon pathways
Ke Pan, Bin Liu, Jie Luo, et al.
Ecological Indicators (2024) Vol. 167, pp. 112629-112629
Open Access | Times Cited: 1
Application of improved graph convolutional networks in daily-ahead carbon emission prediction
Feng Pan, Yuyao Yang, Yilin Ji, et al.
Frontiers in Energy Research (2024) Vol. 12
Open Access
Data-Driven Approaches for Achieving Carbon Neutrality: Predictive Models for Reducing CO2 Emissions and Enhancing Industrial Sustainability
Farzana Islam
(2024)
Open Access
Timely achievement of carbon peak for China: evidence from major energy-consuming industries
Haize Pan, Chuan Liu, Jian He, et al.
Environment Development and Sustainability (2024)
Closed Access
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