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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 hybrid optimization prediction model for PM2.5 based on VMD and deep learning
Tao Zeng, XU Li-ping, Yahui Liu, et al.
Atmospheric Pollution Research (2024) Vol. 15, Iss. 7, pp. 102152-102152
Open Access | Times Cited: 10

Showing 10 citing articles:

SMGformer: integrating STL and multi-head self-attention in deep learning model for multi-step runoff forecasting
Wenchuan Wang, M. H. Gu, Yang-hao Hong, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 6
Driving analysis and prediction of COD based on frequency division
Mei Li, Kexing Chen, Deke Wang, et al.
Stochastic Environmental Research and Risk Assessment (2025)
Closed Access
Combined Prediction of PM10 Concentration at Smart Construction Sites Based on Quadratic Mode Decomposition and Deep Learning
Xiaogang Li, Xin Li, Kaikai Kang, et al.
Sustainability (2025) Vol. 17, Iss. 2, pp. 616-616
Open Access
A novel hybrid model based on dual-layer decomposition and kernel density estimation for VOCs concentration forecasting considering influencing factors
Fan Yang, Guangqiu Huang, X. Jiao
Atmospheric Pollution Research (2025), pp. 102439-102439
Closed Access
A temporal domain generalization method for PM concentration prediction based on adversarial training and deep variational information bottleneck
Miaoxuan Shan, Chunlin Ye, Peng Chen, et al.
Atmospheric Pollution Research (2025), pp. 102472-102472
Closed Access
PM2.5 concentration prediction using a whale optimization algorithm based hybrid deep learning model in Beijing, China
Wei Qing, Huijin Zhang, Ju Yang, et al.
Environmental Pollution (2025) Vol. 371, pp. 125953-125953
Closed Access
A New Hybrid Deep Sequence Model for Decomposing, Interpreting, and Predicting Sulfur Dioxide Decline in Coastal Cities of Northern China
Guoju Wang, Rongsheng Zhu, Xiang Gong, et al.
Sustainability (2025) Vol. 17, Iss. 6, pp. 2546-2546
Open Access
An enhanced interval-valued PM2.5 concentration forecasting model with attention-based feature extraction and self-adaptive combination technology
Jiaming Zhu, Zheng Peng, Niu Li-li, et al.
Expert Systems with Applications (2024) Vol. 264, pp. 125867-125867
Closed Access | Times Cited: 1
Predicting China's thermal coal price: Does multivariate decomposition-integrated forecasting model with window rolling work?
Qihui Shao, Yongqiang Du, Wenxuan Xue, et al.
Resources Policy (2024) Vol. 99, pp. 105410-105410
Closed Access
PM2.5 concentration prediction algorithm integrating traffic congestion index
Yong Fang, Shicheng Zhang, Keyong Yu, et al.
Journal of Environmental Sciences (2024)
Closed Access
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