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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:

Graph Neural Network for Air Quality Prediction: A Case Study in Madrid
Ditsuhi Iskandaryan, Francisco Ramos, Sergio Trilles
IEEE Access (2023) Vol. 11, pp. 2729-2742
Open Access | Times Cited: 22

Showing 22 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: 17
A systematic survey of air quality prediction based on deep learning
Zhen Zhang, Shiqing Zhang, Caimei Chen, et al.
Alexandria Engineering Journal (2024) Vol. 93, pp. 128-141
Open Access | Times Cited: 15
Single-valued neutrosophic fuzzy Sombor numbers and their applications in trade flows between different countries via sea route
Shabana Anwar, Muhammad Azeem, Muhammad Kamran Jamil, et al.
The Journal of Supercomputing (2024) Vol. 80, Iss. 14, pp. 19976-20019
Closed Access | Times Cited: 7
Advancements in machine learning for spatiotemporal urban on-road traffic-air quality study: a review
Zhanxia Du, Hanbing Li, Sha Chen, et al.
Atmospheric Environment (2025), pp. 121054-121054
Closed Access
Enhancing urban air quality prediction using time-based-spatial forecasting framework
Shrikar Jayaraman, T. Nathezhtha, S. Abirami, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A PM2.5 spatiotemporal prediction model based on mixed graph convolutional GRU and self-attention network
Zhao Guyu, Xiaoyuan Yang, Shi Jiansen, et al.
Environmental Pollution (2025), pp. 125748-125748
Closed Access
Multi-granularity PM2.5 concentration long sequence prediction model combined with spatial–temporal graph
Bo Zhang, Hong Qin, Yuqi Zhang, et al.
Environmental Modelling & Software (2025), pp. 106400-106400
Closed Access
An Efficient Modern Convolution-Based Dynamic Spatiotemporal Deep Learning Architecture for Ozone Prediction
Ao Li, Li Ji, Zhizhang Shen
Environmental Modelling & Software (2025), pp. 106424-106424
Closed Access
Improving Air Quality Zoning Through Deep Learning and Hyperlocal Measurements
Eduardo Illueca Fernández, Antonio J. Jara, Jesualdo Tomás Fernández‐Breis
IEEE Access (2024) Vol. 12, pp. 38700-38716
Open Access | Times Cited: 3
AQIPred: A Hybrid Model for High Precision Time Specific Forecasting of Air Quality Index with Cluster Analysis
Farhana Yasmin, Md. Mehedi Hassan, Mahade Hasan, et al.
Human-Centric Intelligent Systems (2023) Vol. 3, Iss. 3, pp. 275-295
Open Access | Times Cited: 7
Deep Sequence Learning for Prediction of Daily NO2 Concentration in Coastal Cities of Northern China
Xingbin Jia, Xiang Gong, Xiaohuan Liu, et al.
Atmosphere (2023) Vol. 14, Iss. 3, pp. 467-467
Open Access | Times Cited: 6
Data Driven Forecasting Models for Urban Air Pollution: MoreAir Case Study
Safaa Berkani, Ihsane Gryech, Mounir Ghogho, et al.
IEEE Access (2023) Vol. 11, pp. 133131-133142
Open Access | Times Cited: 5
A set of deep learning algorithms for air quality prediction applications
Ditsuhi Iskandaryan, Francisco Ramos, Sergio Trilles
Software Impacts (2023) Vol. 17, pp. 100562-100562
Open Access | Times Cited: 2
Data enrichment toolchain: A use-case for correlation analysis of air quality, traffic, and meteorological metrics in Madrid’s smart city
Amir Reza Jafari, Víctor Abraham Villagrá González, Laura Martín, et al.
Internet of Things (2024) Vol. 26, pp. 101232-101232
Open Access
Road intersection analysis: integrating image processing into digital twin technologies
Francisco C. Vázquez-Donaire, Alejandra Abalo-García, Antonio S. Montemayor, et al.
(2024), pp. 1-1
Closed Access
Back to the Future: GNN-Based No2 Forecasting Via Future Covariates
Antonio Giganti, Sara Mandelli, Paolo Bestagini, et al.
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2024) Vol. 55, pp. 3872-3876
Closed Access
GeoCC-ConvLSTM: A Model for Nationwide Air Quality Forecasting
Marc Semper, Manuel Curado, José F. Vicent
Lecture notes in computer science (2024), pp. 203-220
Closed Access
Fine particulate matter concentration prediction based on hybrid convolutional network with aggregated local and global spatiotemporal information: A case study in Beijing and Chongqing
Qiaolin Zeng, Yang Cao, Meng Fan, et al.
Atmospheric Environment (2024) Vol. 333, pp. 120647-120647
Closed Access
Air quality prediction based on the GCN-GRU model with CEEMDAN decomposition
Xinying Chen, Yi Liu, Jing Wang
Research Square (Research Square) (2024)
Closed Access
Nationwide Air Pollution Forecasting with Heterogeneous Graph Neural Networks
Fernando Terroso‐Saenz, Juan Morales-García, Andrés Muñoz
ACM Transactions on Intelligent Systems and Technology (2023) Vol. 15, Iss. 1, pp. 1-19
Closed Access | Times Cited: 1
Analysis of various Machine Learning Regression Models for AQI Prediction
Uma Rani, S. Thirisaa
(2023), pp. 1-5
Closed Access | Times Cited: 1
Study and Prediction of Air Quality in Smart Cities through Machine Learning Techniques Considering Spatiotemporal Components
Ditsuhi Iskandaryan
(2023)
Open Access
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