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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:

Predicting next hour fine particulate matter (PM2.5) in the Istanbul Metropolitan City using deep learning algorithms with time windowing strategy
Beytullah Eren, İpek Aksangür, Caner Erden
Urban Climate (2023) Vol. 48, pp. 101418-101418
Closed Access | Times Cited: 39

Showing 26-50 of 39 citing articles:

Explainable based approach for the air quality classification on the granular computing rule extraction technique
Idriss Jairi, Sarah Ben-Othman, Ludivine Canivet, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108096-108096
Open Access | Times Cited: 1
Predicting Engine Emissions Using Eco-Friendly Fuels for Sustainable Transportation
Beytullah Eren, İdris Cesur
Sakarya University Journal of Computer and Information Sciences (2024) Vol. 7, Iss. 1, pp. 103-111
Open Access | Times Cited: 1
Predicting air quality index and fine particulate matter levels in Bagdad city using advanced machine learning and deep learning techniques
Anees A. Khadom, Saad Albawi, Ali J. Abboud, et al.
Journal of Atmospheric and Solar-Terrestrial Physics (2024) Vol. 262, pp. 106312-106312
Closed Access | Times Cited: 1
Deep learning approach to forecast air pollution based on novel hourly index
Gaurav Narkhede, Anil Hiwale
Physica Scripta (2023) Vol. 98, Iss. 9, pp. 096004-096004
Closed Access | Times Cited: 3
A Hybrid Model for Spatiotemporal Air Quality Prediction Based on Interpretable Neural Networks and a Graph Neural Network
Huijuan Ding, Giseop Noh
Atmosphere (2023) Vol. 14, Iss. 12, pp. 1807-1807
Open Access | Times Cited: 3
Long‐term observed changes of air temperature, relative humidity and vapour pressure deficit in Bolivia, 1950–2019
Beatriz Fernández‐Duque, Sergio M. Vicente‐Serrano, Oswaldo Maillard, et al.
International Journal of Climatology (2023) Vol. 43, Iss. 14, pp. 6484-6504
Open Access | Times Cited: 2
Air Quality Prediction Using Machine Learning and Deep Learning: An Exploratory Study
Megha Bhushan, Ishaan Dawar, Shantanu Sharma, et al.
2022 6th International Conference On Computing, Communication, Control And Automation (ICCUBEA (2023), pp. 1-6
Closed Access | Times Cited: 2
Evaluation of Deep Learning Models for Predicting the Concentration of Air Pollutants in Urban Environments
Edgar Tello-Leal, Ulises Manuel Ramirez-Alcocer, Bárbara A. Macías-Hernández, et al.
Sustainability (2024) Vol. 16, Iss. 16, pp. 7062-7062
Open Access
Estimating the spatiotemporal distribution of PM2.5 concentrations in Tianjin during the Chinese Spring Festival: Impact of Fireworks Ban
Zhifei Liu, Kang Zheng, Shuai Bao, et al.
Environmental Pollution (2024) Vol. 361, pp. 124899-124899
Closed Access
A new Method for Predicting PM2.5 Concentrations in Subway Stations Based on a Multiscale Adaptive Noise Reduction Transformer -BiGRU Model and an Error Correction Method
Ding Chen, Hui Liu
Journal of Infrastructure Intelligence and Resilience (2024), pp. 100128-100128
Open Access
Predicting hospital admissions for upper respiratory tract complaints: An artificial neural network approach integrating air pollution and meteorological factors
Atilla Mutlu, Gülşen Aydın Keskin, İhsan Çıldır
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 8
Closed Access
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
A comparison of statistical and machine learning models for spatio-temporal prediction of ambient air pollutant concentrations in Scotland
Qiangqiang Zhu, Duncan Lee, Oliver Stoner
Environmental and Ecological Statistics (2024)
Open Access
Modeling of Indoor Air Quality in Campus and Developing a Decision Support System
Elif Cesur, Cemal EFE
Journal of Intelligent Systems Theory and Applications (2023) Vol. 6, Iss. 2, pp. 181-190
Open Access
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