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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 novel hourly PM2.5 concentration prediction model based on feature selection, training set screening, and mode decomposition-reorganization
Wei Sun, Zhiwei Xu
Sustainable Cities and Society (2021) Vol. 75, pp. 103348-103348
Closed Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

An evolutionary deep learning model based on TVFEMD, improved sine cosine algorithm, CNN and BiLSTM for wind speed prediction
Chu Zhang, Huixin Ma, Lei Hua, et al.
Energy (2022) Vol. 254, pp. 124250-124250
Closed Access | Times Cited: 99
Application of wavelet-packet transform driven deep learning method in PM2.5 concentration prediction: A case study of Qingdao, China
Qinghe Zheng, Xinyu Tian, Zhiguo Yu, et al.
Sustainable Cities and Society (2023) Vol. 92, pp. 104486-104486
Open Access | Times Cited: 59
Influence and prediction of PM2.5 through multiple environmental variables in China
Haoyu Jin, Xiaohong Chen, Ruida Zhong, et al.
The Science of The Total Environment (2022) Vol. 849, pp. 157910-157910
Closed Access | Times Cited: 60
Temperature-induced deflection separation based on bridge deflection data using the TVFEMD-PE-KLD method
Shuangjiang Li, Jingzhou Xin, Yan Jiang, et al.
Journal of Civil Structural Health Monitoring (2023) Vol. 13, Iss. 2-3, pp. 781-797
Closed Access | Times Cited: 38
Short-term prediction of reference crop evapotranspiration based on machine learning with different decomposition methods in arid areas of China
Yingjie Lu, Tao Li, Hui Hu, et al.
Agricultural Water Management (2023) Vol. 279, pp. 108175-108175
Open Access | Times Cited: 35
Application of complete ensemble empirical mode decomposition based multi-stream informer (CEEMD-MsI) in PM2.5 concentration long-term prediction
Qinghe Zheng, Xinyu Tian, Zhiguo Yu, et al.
Expert Systems with Applications (2023) Vol. 245, pp. 123008-123008
Closed Access | Times Cited: 28
PM2.5 air pollution prediction through deep learning using meteorological, vehicular, and emission data: A case study of New Delhi, India
Deepti Shakya, Vishal Deshpande, Manish Kumar Goyal, et al.
Journal of Cleaner Production (2023) Vol. 427, pp. 139278-139278
Closed Access | Times Cited: 25
Research and application of an evolutionary deep learning model based on improved grey wolf optimization algorithm and DBN-ELM for AQI prediction
Yiman Li, Peng Tian, Lei Hua, et al.
Sustainable Cities and Society (2022) Vol. 87, pp. 104209-104209
Closed Access | Times Cited: 35
Assessing the environmental benefits of urban ventilation corridors: A case study in Hefei, China
Yunhao Fang, Liyuan Zhao
Building and Environment (2022) Vol. 212, pp. 108810-108810
Closed Access | Times Cited: 28
Modeling PM2.5 forecast using a self-weighted ensemble GRU network: Method optimization and evaluation
Hengjun Huang, Chonghui Qian
Ecological Indicators (2023) Vol. 156, pp. 111138-111138
Open Access | Times Cited: 20
Reconstructing annual XCO2 at a 1 km×1 km spatial resolution across China from 2012 to 2019 based on a spatial CatBoost method
Chao Wu, Yuechuang Ju, Shuo Yang, et al.
Environmental Research (2023) Vol. 236, pp. 116866-116866
Closed Access | Times Cited: 17
A hybrid carbon price prediction model based-combinational estimation strategies of quantile regression and long short-term memory
Nijun Jiang, Xiaobing Yu, Manawwer Alam
Journal of Cleaner Production (2023) Vol. 429, pp. 139508-139508
Closed Access | Times Cited: 17
The impact of public demands on local environmental governance performance: Evidence from civil environmental complaints placed on leaders at different government levels in China
Tianyu Wei, Ming Chen, Feiran Wang, et al.
Journal of Environmental Management (2024) Vol. 360, pp. 121216-121216
Closed Access | Times Cited: 7
Dynamic graph convolution neural network based on spatial-temporal correlation for air quality prediction
Ao Dun, Yuning Yang, Fei Lei
Ecological Informatics (2022) Vol. 70, pp. 101736-101736
Closed Access | Times Cited: 25
Fractional order Lorenz based physics informed SARFIMA-NARX model to monitor and mitigate megacities air pollution
Ayaz Hussain Bukhari, Muhammad Asif Zahoor Raja, Muhammad Shoaib, et al.
Chaos Solitons & Fractals (2022) Vol. 161, pp. 112375-112375
Closed Access | Times Cited: 25
Has Industrial Upgrading Improved Air Pollution?—Evidence from China’s Digital Economy
Guangzhi Qi, Zhibao Wang, Zhixiu Wang, et al.
Sustainability (2022) Vol. 14, Iss. 14, pp. 8967-8967
Open Access | Times Cited: 23
Research progress, challenges, and prospects of PM2.5 concentration estimation using satellite data
S. Y. Zhu, Jiayi Tang, Xiaolu Zhou, et al.
Environmental Reviews (2023) Vol. 31, Iss. 4, pp. 605-631
Open Access | Times Cited: 13
PM2.5 concentration forecasting: Development of integrated multivariate variational mode decomposition with kernel Ridge regression and weighted mean of vectors optimization
Tao Hai, Iman Ahmadianfar, Leonardo Goliatt, et al.
Atmospheric Pollution Research (2024) Vol. 15, Iss. 6, pp. 102125-102125
Closed Access | Times Cited: 5
Mixed-frequency fusion grey panel model for spatiotemporal prediction of photovoltaic power generation
Z.J. Zuo, Xinping Xiao, Mingyun Gao, et al.
Renewable Energy (2025), pp. 123055-123055
Closed Access
New PM2.5 forecasting system based on combined neural network and an improved multi-objective optimization algorithm: Taking the economic belt surrounding the Bohai Sea as an example
Zhirui Tian, Gai Mei
Journal of Cleaner Production (2022) Vol. 375, pp. 134048-134048
Closed Access | Times Cited: 20
A Wavelet PM2.5 Prediction System Using Optimized Kernel Extreme Learning with Boruta-XGBoost Feature Selection
Ali Asghar Heidari, Mehdi Akhoondzadeh, Huiling Chen
Mathematics (2022) Vol. 10, Iss. 19, pp. 3566-3566
Open Access | Times Cited: 20
Three-hourly PM2.5 and O3 concentrations prediction based on time series decomposition and LSTM model with attention mechanism
Yuanyue Chu, Jian Yao, De-wen Qiao, et al.
Atmospheric Pollution Research (2023) Vol. 14, Iss. 11, pp. 101879-101879
Closed Access | Times Cited: 12
Air pollutant prediction based on a attention mechanism model of the Yangtze River Delta region in frequent heatwaves
Bingchun Liu, Mingzhao Lai, Peng Zeng, et al.
Atmospheric Research (2024), pp. 107701-107701
Closed Access | Times Cited: 4
An integrated feature selection and machine learning framework for PM10 concentration prediction
Elham Kalantari, Hamid Gholami, Hossein Malakooti, et al.
Atmospheric Pollution Research (2025), pp. 102456-102456
Closed Access
Contribution of ecological restoration projects to long-term changes in PM2.5
Yulu Yang, Mingchang Shi, Baojian Liu, et al.
Ecological Indicators (2024) Vol. 159, pp. 111630-111630
Open Access | Times Cited: 3
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