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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:

PM2.5 concentration prediction using deep learning in internet of things air monitoring system
Wei Bai, Fengying Li
Environmental Engineering Research (2022) Vol. 28, Iss. 1, pp. 210456
Open Access | Times Cited: 11

Showing 11 citing articles:

Forecasting daily PM2.5 concentrations in Wuhan with a spatial-autocorrelation-based long short-term memory model
Zhifei Liu, C. Ge, Kang Zheng, et al.
Atmospheric Environment (2024) Vol. 331, pp. 120605-120605
Closed Access | Times Cited: 4
A Prediction Hybrid Framework for Air Quality Integrated with W-BiLSTM(PSO)-GRU and XGBoost Methods
Wenbing Chang, Xu Chen, He Zhao, et al.
Sustainability (2023) Vol. 15, Iss. 22, pp. 16064-16064
Open Access | Times Cited: 10
Adaptive scalable spatio-temporal graph convolutional network for PM2.5 prediction
Qingjian Ni, Yuhui Wang, Jiayi Yuan
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 107080-107080
Closed Access | Times Cited: 9
A New Attention-Based a convolutional neural network-gated recurrent unit Model for Spatial-Temporal PM2.5 Prediction
Sara Haghbayan, Mehdi Momeni, Behnam Tashayo
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
A new attention-based CNN_GRU model for spatial–temporal PM2.5 prediction
Sara Haghbayan, Mehdi Momeni, Behnam Tashayo
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 40, pp. 53140-53155
Closed Access
Statistical and machine learning approaches for estimating pollution of fine particulate matter (PM2.5) in Vietnam
Tuyet Nam Thi Nguyen, Tan Dat Trinh, Pham Cung Le Thien Vu, et al.
Journal of Environmental Engineering and Landscape Management (2024) Vol. 32, Iss. 4, pp. 292-304
Open Access
Enhanced Sequence-to-Sequence Attention-Based PM2.5 Concentration Forecasting Using Spatiotemporal Data
Baekcheon Kim, Eun Kyeong Kim, Seunghwan Jung, et al.
Atmosphere (2024) Vol. 15, Iss. 12, pp. 1469-1469
Open Access
Super-hydrophobic blended needle-punched nonwovens integrated with silica-aerogels for PM2.5 filtration
Hanur Meku Yesuf, Syed Rashedul Islam, Xueping Zhang, et al.
Environmental Engineering Research (2024) Vol. 30, Iss. 3, pp. 240404
Open Access
Short Path Wind-Field Distance-Based Lagrangian Trajectory Model for Enhancing Atmospheric Dispersion Prediction Accuracy
Soukaina R’bigui, Hind R’bigui, Chiwoon Cho
IEEE Access (2023) Vol. 11, pp. 106465-106475
Open Access | Times Cited: 1
A PM2.5 Concentration Prediction in High-Cost and Low-Cost Wireless Sensor Networks Using Neural Networks
Marko Marković, Đorđe Nešković, Lara Kašca, et al.
2021 15th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS) (2023), pp. 151-154
Closed Access
The Frame Design of Management Platform in Fields of IoT
Xiao Wang, Yingchao Zhen, Yunhua Fan, et al.
(2022), pp. 599-604
Closed Access
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