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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:

Linear and nonlinear framework for interval-valued PM2.5 concentration forecasting based on multi-factor interval division strategy and bivariate empirical mode decomposition
Zicheng Wang, Hao Li, Huayou Chen, et al.
Expert Systems with Applications (2022) Vol. 205, pp. 117707-117707
Closed Access | Times Cited: 15

Showing 15 citing articles:

Forecasting hourly PM2.5 concentrations based on decomposition-ensemble-reconstruction framework incorporating deep learning algorithms
Peilei Cai, Chengyuan Zhang, Jian Chai
Data Science and Management (2023) Vol. 6, Iss. 1, pp. 46-54
Open Access | Times Cited: 29
Online dynamic ensemble deep random vector functional link neural network for forecasting
Ruobin Gao, Ruilin Li, Minghui Hu, et al.
Neural Networks (2023) Vol. 166, pp. 51-69
Open Access | Times Cited: 28
A multi-step ahead point-interval forecasting system for hourly PM2.5 concentrations based on multivariate decomposition and kernel density estimation
Hongtao Li, Yang Yu, Zhipeng Huang, et al.
Expert Systems with Applications (2023) Vol. 226, pp. 120140-120140
Closed Access | Times Cited: 21
A new perspective on air quality index time series forecasting: A ternary interval decomposition ensemble learning paradigm
Zicheng Wang, Ruobin Gao, Piao Wang, et al.
Technological Forecasting and Social Change (2023) Vol. 191, pp. 122504-122504
Closed Access | Times Cited: 21
Monthly ship price forecasting based on multivariate variational mode decomposition
Zicheng Wang, Liren Chen, Huayou Chen, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 125, pp. 106698-106698
Closed Access | Times Cited: 13
Forecasting VaR and ES by using deep quantile regression, GANs-based scenario generation, and heterogeneous market hypothesis
Jianzhou Wang, Shuai Wang, Mengzheng Lv, et al.
Financial Innovation (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 4
Short-term interval-valued load forecasting with a combined strategy of iHW and multioutput machine learning
Feng Gao, Jie Song, Xueyan Shao
Annals of Operations Research (2025)
Closed Access
PM2.5 probabilistic forecasting system based on graph generative network with graph U-nets architecture
Yanfei Li, Rui Yang, Zhu Duan, et al.
Journal of Central South University (2025) Vol. 32, Iss. 1, pp. 304-318
Closed Access
Enhancing interval-valued time series forecasting through bivariate ensemble empirical mode decomposition and optimal prediction
Zhifu Tao, Wenqing Ni, Piao Wang
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108007-108007
Closed Access | Times Cited: 3
Forecasting house price index with social media sentiment: A decomposition–ensemble approach
Jin Shao, Lean Yu, Jingke Hong, et al.
Journal of Forecasting (2024) Vol. 44, Iss. 1, pp. 216-241
Closed Access | Times Cited: 3
Interval time series forecasting: A systematic literature review
Piao Wang, Shahid Hussain Gurmani, Zhifu Tao, et al.
Journal of Forecasting (2023) Vol. 43, Iss. 2, pp. 249-285
Closed Access | Times Cited: 8
A hybrid PM2.5 interval concentration prediction framework based on multi-factor interval decomposition reconstruction strategy and attention mechanism
Jiaming Zhu, Niu Li-li, Zheng Peng, et al.
Atmospheric Environment (2024) Vol. 335, pp. 120730-120730
Closed Access | Times Cited: 2
Causalities-multiplicity oriented joint interval-trend fuzzy information granulation for interval-valued time series multi-step forecasting
Yuqing Tang, Fusheng Yu, Wenyi Zeng, et al.
Information Sciences (2024), pp. 121717-121717
Closed Access | Times Cited: 1
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
Ordinal classification for interval-valued data and interval-valued functional data
Aleix Alcacer, Marina MartĂ­nez-Garcia, Irene Epifanio
Expert Systems with Applications (2023) Vol. 238, pp. 122277-122277
Open Access | Times Cited: 1
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