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 CLSTM-GPR model for forecasting particulate matter (PM2.5)
Jiaan He, Xiaoyong Li, Zhenguo Chen, et al.
Atmospheric Pollution Research (2023) Vol. 14, Iss. 8, pp. 101832-101832
Closed Access | Times Cited: 4
Jiaan He, Xiaoyong Li, Zhenguo Chen, et al.
Atmospheric Pollution Research (2023) Vol. 14, Iss. 8, pp. 101832-101832
Closed Access | Times Cited: 4
Showing 4 citing articles:
Regional PM2.5 prediction with hybrid directed graph neural networks and Spatio-temporal fusion of meteorological factors
Yinan Chen, Yonghua Wu, Shiguo Zhang, et al.
Environmental Pollution (2024), pp. 125404-125404
Closed Access | Times Cited: 1
Yinan Chen, Yonghua Wu, Shiguo Zhang, et al.
Environmental Pollution (2024), pp. 125404-125404
Closed Access | Times Cited: 1
A Hybrid Time Series Model for the Spatio-Temporal Analysis of Air Pollution Prediction Based on $$\textrm{PM}_{2.5}$$
Naushad Ahmad, Vipin Kumar
Communications in computer and information science (2024), pp. 62-81
Closed Access
Naushad Ahmad, Vipin Kumar
Communications in computer and information science (2024), pp. 62-81
Closed Access
PmForecast: leveraging temporal LSTM to deliver in situ air quality predictions
Maryam Rahmani, Suzanne Crumeyrolle, Nadége Allegri-Martiny, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 39, pp. 51760-51773
Closed Access
Maryam Rahmani, Suzanne Crumeyrolle, Nadége Allegri-Martiny, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 39, pp. 51760-51773
Closed Access
Advancements in evaporation prediction: introducing the Gated Recurrent Unit–Multi-Kernel Extreme Learning Machine (MKELM)–Gaussian Process Regression (GPR) model
Sharareh Pourebrahim, Mohammad Ehteram, Mehrdad Hadipour, et al.
Environmental Sciences Europe (2024) Vol. 36, Iss. 1
Open Access
Sharareh Pourebrahim, Mohammad Ehteram, Mehrdad Hadipour, et al.
Environmental Sciences Europe (2024) Vol. 36, Iss. 1
Open Access
