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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:

An enhanced interval PM2.5 concentration forecasting model based on BEMD and MLPI with influencing factors
Zicheng Wang, Liren Chen, Zhenni Ding, et al.
Atmospheric Environment (2019) Vol. 223, pp. 117200-117200
Closed Access | Times Cited: 52

Showing 1-25 of 52 citing articles:

A multi-scale analysis method with multi-feature selection for house prices forecasting
Jin Shao, Lean Yu, Nengmin Zeng, et al.
Applied Soft Computing (2025), pp. 112779-112779
Closed Access | Times Cited: 2
Predictions and mitigation strategies of PM2.5 concentration in the Yangtze River Delta of China based on a novel nonlinear seasonal grey model
Weijie Zhou, Xiaoli Wu, Song Ding, et al.
Environmental Pollution (2021) Vol. 276, pp. 116614-116614
Closed Access | Times Cited: 67
Air quality forecasting with artificial intelligence techniques: A scientometric and content analysis
Yanzhao Li, Ju’e Guo, Shaolong Sun, et al.
Environmental Modelling & Software (2022) Vol. 149, pp. 105329-105329
Closed Access | Times Cited: 41
Short-term load forecasting with an improved dynamic decomposition-reconstruction-ensemble approach
Dongchuan Yang, Ju’e Guo, Yanzhao Li, et al.
Energy (2022) Vol. 263, pp. 125609-125609
Closed Access | Times Cited: 37
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
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
Data multi-scale decomposition strategies for air pollution forecasting: A comprehensive review
Hui Liu, Shi Yin, Chao Chen, et al.
Journal of Cleaner Production (2020) Vol. 277, pp. 124023-124023
Closed Access | Times Cited: 67
A novel interval decomposition ensemble model for interval carbon price forecasting
Feng Gao, Xueyan Shao
Energy (2021) Vol. 243, pp. 123006-123006
Closed Access | Times Cited: 48
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
Long-Term Forecasting of Air Pollution Particulate Matter (PM2.5) and Analysis of Influencing Factors
Yuyi Zhang, Qiushi Sun, Jing Liu, et al.
Sustainability (2023) Vol. 16, Iss. 1, pp. 19-19
Open Access | Times Cited: 17
An optimized decomposition integration model for deterministic and probabilistic air pollutant concentration prediction considering influencing factors
Fan Yang, Guangqiu Huang
Atmospheric Pollution Research (2024) Vol. 15, Iss. 7, pp. 102144-102144
Closed Access | Times Cited: 5
A spatial multi-resolution multi-objective data-driven ensemble model for multi-step air quality index forecasting based on real-time decomposition
Hui Liu, Rui Yang
Computers in Industry (2021) Vol. 125, pp. 103387-103387
Closed Access | Times Cited: 35
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
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
Analysis and accurate prediction of ambient PM2.5 in China using Multi-layer Perceptron
Rui Feng, Han Gao, Kun Luo, et al.
Atmospheric Environment (2020) Vol. 232, pp. 117534-117534
Closed Access | Times Cited: 37
Wind speed big data forecasting using time-variant multi-resolution ensemble model with clustering auto-encoder
Hui Liu, Zhu Duan, Chao Chen
Applied Energy (2020) Vol. 280, pp. 115975-115975
Closed Access | Times Cited: 34
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
A new combination model using decomposition ensemble framework and error correction technique for forecasting hourly PM2.5 concentration
Hong Yang, Chan Wang, Guohui Li
Journal of Environmental Management (2022) Vol. 318, pp. 115498-115498
Closed Access | Times Cited: 21
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
Hourly PM2.5 Concentration Prediction Based on Empirical Mode Decomposition and Geographically Weighted Neural Network
Yan Chen, Chunchun Hu
ISPRS International Journal of Geo-Information (2024) Vol. 13, Iss. 3, pp. 79-79
Open Access | Times Cited: 3
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
STF-Net: An improved depth network based on spatio-temporal data fusion for PM2.5 concentration prediction
Xiaoxia Zhang, Hao Gan
Future Generation Computer Systems (2023) Vol. 144, pp. 37-49
Closed Access | Times Cited: 10
A novel hybrid fine particulate matter (PM2.5) forecasting and its further application system: Case studies in China
Pei Du, Jianzhou Wang, Wendong Yang, et al.
Journal of Forecasting (2021) Vol. 41, Iss. 1, pp. 64-85
Closed Access | Times Cited: 21
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
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