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:

Prediction of air pollutant concentrations based on the long short-term memory neural network
Zechuan Wu, Yuping Tian, Mingze Li, et al.
Journal of Hazardous Materials (2023) Vol. 465, pp. 133099-133099
Closed Access | Times Cited: 9

Showing 9 citing articles:

Artificial neural network an innovative approach in air pollutant prediction for environmental applications: A review
Vibha Yadav, Amit Kumar Yadav, Vedant Singh, et al.
Results in Engineering (2024) Vol. 22, pp. 102305-102305
Open Access | Times Cited: 18

Integrating machine learning and artificial intelligence in life-course epidemiology: pathways to innovative public health solutions
Shanquan Chen, Jiazhou Yu, Sarah Chamouni, et al.
BMC Medicine (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 4

End-to-end deep learning for pollutant prediction using street view images
Lijie Wu, Xiansheng Liu, Xun Zhang, et al.
Urban Climate (2025) Vol. 60, pp. 102368-102368
Closed Access

Comparative Analysis of Data Visualization and Deep Learning Models in Air Quality Forecasting
Damla Mengus, Bihter Daş
Sakarya University Journal of Computer and Information Sciences (2025) Vol. 8, Iss. 1, pp. 89-111
Open Access

A systematic scrutiny of artificial intelligence-based air pollution prediction techniques, challenges, and viable solutions
Meenakshi Malhotra, Savita Walia, Chia‐Chen Lin, et al.
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 1

Accurate and robust ammonia level forecasting of aeration tanks using long short-term memory ensembles: A comparative study of Adaboost and Bagging approaches
Hanxiao Shi, Anlei Wei, Yaqi Zhu, et al.
Journal of Environmental Management (2024) Vol. 371, pp. 123173-123173
Closed Access | Times Cited: 1

SecureIoT-FL: A Federated Learning Framework for Privacy-Preserving Real-Time Environmental Monitoring in Industrial IoT Applications
Montaser N.A. Ramadan, Mohammed A. H. Ali, Shin Yee Khoo, et al.
Alexandria Engineering Journal (2024) Vol. 114, pp. 681-701
Open Access | Times Cited: 1

A predictive model for the estimation of industrial PM2.5 emissions for IoT-based devices
Aleksei Kychkin, Olga Vikenteva, Leonid Mylnikov, et al.
Computers & Industrial Engineering (2024), pp. 110662-110662
Closed Access

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