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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:

Double decomposition and optimal combination ensemble learning approach for interval-valued AQI forecasting using streaming data
Zicheng Wang, Liren Chen, Jiaming Zhu, et al.
Environmental Science and Pollution Research (2020) Vol. 27, Iss. 30, pp. 37802-37817
Closed Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

A secondary modal decomposition ensemble deep learning model for groundwater level prediction using multi-data
Xuefei Cui, Zhaocai Wang, Nannan Xu, et al.
Environmental Modelling & Software (2024) Vol. 175, pp. 105969-105969
Closed Access | Times Cited: 23
New double decomposition deep learning methods for river water level forecasting
A. A. Masrur Ahmed, Ravinesh C. Deo, Afshin Ghahramani, et al.
The Science of The Total Environment (2022) Vol. 831, pp. 154722-154722
Closed Access | Times Cited: 48
Statistical analysis of the regional air quality index of Yangtze River Delta based on complex network theory
Jia‐Bao Liu, Ya-Qian Zheng, Chien‐Chiang Lee
Applied Energy (2023) Vol. 357, pp. 122529-122529
Closed Access | Times Cited: 31
Improving the forecasting accuracy of interval-valued carbon price from a novel multi-scale framework with outliers detection: An improved interval-valued time series analysis mode
Piao Wang, Zhifu Tao, Jinpei Liu, et al.
Energy Economics (2023) Vol. 118, pp. 106502-106502
Closed Access | Times Cited: 27
Modeling air quality PM2.5 forecasting using deep sparse attention-based transformer networks
Zhenyu Zhang, Shiqing Zhang
International Journal of Environmental Science and Technology (2023) Vol. 20, Iss. 12, pp. 13535-13550
Open Access | Times Cited: 24
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
A novel interval dual convolutional neural network method for interval-valued stock price prediction
Manrui Jiang, Wei Chen, Huilin Xu, et al.
Pattern Recognition (2023) Vol. 145, pp. 109920-109920
Closed Access | Times Cited: 20
Air quality index prediction using a new hybrid model considering multiple influencing factors: A case study in China
Hong Yang, Yiting Zhang, Guohui Li
Atmospheric Pollution Research (2023) Vol. 14, Iss. 3, pp. 101677-101677
Closed Access | Times Cited: 14
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
AQI time series prediction based on a hybrid data decomposition and echo state networks
Hui Liu, Xinyu Zhang
Environmental Science and Pollution Research (2021) Vol. 28, Iss. 37, pp. 51160-51182
Closed Access | Times Cited: 28
Exploiting PSO-SVM and sample entropy in BEMD for the prediction of interval-valued time series and its application to daily PM2.5 concentration forecasting
Liyuan Jiang, Zhifu Tao, Jiaming Zhu, et al.
Applied Intelligence (2022) Vol. 53, Iss. 7, pp. 7599-7613
Closed Access | Times Cited: 19
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
Daily PM2.5 and PM10 forecasting using linear and nonlinear modeling framework based on robust local mean decomposition and moving window ensemble strategy
Zicheng Wang, Huayou Chen, Jiaming Zhu, et al.
Applied Soft Computing (2021) Vol. 114, pp. 108110-108110
Closed Access | Times Cited: 21
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
A decomposition-ensemble broad learning system for AQI forecasting
Choujun Zhan, Wei Jiang, Fabing Lin, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 21, pp. 18461-18472
Closed Access | Times Cited: 14
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 combination prediction model based on Theil coefficient and induced continuous aggregation operator for the prediction of Shanghai composite index
Yixiang Wang, Zhicheng Hu, Kai Zhang, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123671-123671
Closed Access | Times Cited: 2
Exploring Long-Memory Process in the Prediction of Interval-Valued Financial Time Series and Its Application
Tingting Shen, Zhifu Tao, Huayou Chen
Journal of Systems Science and Complexity (2024) Vol. 37, Iss. 2, pp. 759-775
Closed Access | Times Cited: 2
An interval-valued carbon price forecasting method based on web search data and social media sentiment
Jinpei Liu, Xue Li, Piao Wang, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 42, pp. 95840-95859
Closed Access | Times Cited: 6
Space-Time Cluster’s Detection and Geographical Weighted Regression Analysis of COVID-19 Mortality on Texas Counties
Jinting Zhang, Xiu Wu, T. Edwin Chow
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 11, pp. 5541-5541
Open Access | Times Cited: 12
An interval AQI combination prediction model based on multiple data decomposition and information aggregation operator
Yixiang Wang, Hao Li, Xianchao Dai, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 9, pp. 14284-14302
Closed Access | Times Cited: 1
Three-wavelength optical sensor for measuring distributed mass concentrations of aerosols from stationary sources
Xiao Xiao, Shu Wang, Ming Zhu, et al.
Optics Express (2021) Vol. 29, Iss. 5, pp. 6407-6407
Open Access | Times Cited: 11
Multi-scale deep learning and optimal combination ensemble approach for AQI forecasting using big data with meteorological conditions
Zicheng Wang, Huayou Chen, Jiaming Zhu, et al.
Journal of Intelligent & Fuzzy Systems (2021) Vol. 40, Iss. 3, pp. 5483-5500
Closed Access | Times Cited: 9
Forecasting of AQI (PM2.5) for the three most polluted cities in India during COVID-19 by hybrid Daubechies discrete wavelet decomposition and autoregressive (Db-DWD-ARIMA) model
Jatinder Kaur, Sarbjit Singh, Kulwinder Singh Parmar
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 45, pp. 101035-101052
Closed Access | Times Cited: 3
An Interval Decomposition-Ensemble Model for Tourism Forecasting
Gang Xie, Shuihan Liu, Xin Li
Journal of Hospitality & Tourism Research (2023)
Closed Access | Times Cited: 3
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