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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:

A hybrid deep learning framework for air quality prediction with spatial autocorrelation during the COVID-19 pandemic
Zixi Zhao, Jinran Wu, Fengjing Cai, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

Air Quality Improvement and Optimisation Using Machine Learning Technique
Rayavarapu Veeranjaneyulu, Sampath Boopathi, R. Krishna Kumari, et al.
2022 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI) (2023), pp. 1-6
Closed Access | Times Cited: 43
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
Learning spatiotemporal dependencies using adaptive hierarchical graph convolutional neural network for air quality prediction
Wei Hu, Zhen Zhang, Shiqing Zhang, et al.
Journal of Cleaner Production (2024) Vol. 459, pp. 142541-142541
Closed Access | Times Cited: 5
Integrating machine learning techniques for Air Quality Index forecasting and insights from pollutant-meteorological dynamics in sustainable urban environments
K. Karthick, Aruna S.K., R. Dharmaprakash, et al.
Earth Science Informatics (2024) Vol. 17, Iss. 4, pp. 3733-3748
Closed Access | Times Cited: 5
AI-driven approaches for air pollution modeling: A comprehensive systematic review
Lorenzo Garbagna, Lakshmi Babu Saheer, Mahdi Maktabdar Oghaz
Environmental Pollution (2025), pp. 125937-125937
Closed Access
Combining the dynamic model and deep neural networks to identify the intensity of interventions during COVID-19 pandemic
Mengqi He, Sanyi Tang, Yanni Xiao
PLoS Computational Biology (2023) Vol. 19, Iss. 10, pp. e1011535-e1011535
Open Access | Times Cited: 12
Photovoltaic Power Prediction Based on VMD-BRNN-TSP
Guici Chen, Tingting Zhang, Wenyu Qu, et al.
Mathematics (2023) Vol. 11, Iss. 4, pp. 1033-1033
Open Access | Times Cited: 8
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: 8
Hybridization of rough set–wrapper method with regularized combinational LSTM for seasonal air quality index prediction
Tishya Manna, A. Anitha
Neural Computing and Applications (2023) Vol. 36, Iss. 6, pp. 2921-2940
Closed Access | Times Cited: 8
Computational deep air quality prediction techniques: a systematic review
Manjit Kaur, Dilbag Singh, Mohamed Yaseen Jabarulla, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. S2, pp. 2053-2098
Closed Access | Times Cited: 7
Hybrid FCMG-OP-FIS Model Approach to Convert Regression into Classification Data for Machine Learning-Based AQI Prediction
Kulandhainadar Mariavalavan Ordenshiya, G. K. Revathi
Heliyon (2024) Vol. 10, Iss. 21, pp. e39759-e39759
Open Access | Times Cited: 2
Deep Learning-Based Classification of Chest Diseases Using X-rays, CT Scans, and Cough Sound Images
Hassaan Malik, Tayyaba Anees, Ahmad Sami Al-Shamayleh, et al.
Diagnostics (2023) Vol. 13, Iss. 17, pp. 2772-2772
Open Access | Times Cited: 6
Uncertainty graph convolution recurrent neural network for air quality forecasting
Dong Mei, Yue Sun, Yutao Jin, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102651-102651
Closed Access | Times Cited: 1
High-dimensional spatiotemporal visual analysis of the air quality in China
Jia Liu, Gang Wan, Wei Liu, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 4
Spatiotemporal modeling of air pollutant concentrations in Germany using machine learning
Vigneshkumar Balamurugan, Jia Chen, Adrian Wenzel, et al.
Atmospheric chemistry and physics (2023) Vol. 23, Iss. 17, pp. 10267-10285
Open Access | Times Cited: 4
Application of hybrid fuzzy interval-based machine learning models on financial time series — A case study of Taiwan biotech index during the epidemic period
Hsio-Yi Lin, Bin-Wei Hsu
Frontiers in Artificial Intelligence (2024) Vol. 6
Open Access | Times Cited: 1
Medium-Term AQI Prediction in Selected Areas of Bangladesh Based on Bidirectional GRU Network Model
Ashis Mandal, Rikta Sen
SN Computer Science (2024) Vol. 5, Iss. 5
Closed Access | Times Cited: 1
Challenges in data-driven geospatial modeling for environmental research and practice
Diana Koldasbayeva, Polina Tregubova, Mikhail Gasanov, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Co-Dependency of IAQ in Functionally Different Zones of Open-Kitchen Restaurants Based on Sensor Measurements Explored via Mutual Information Analysis
Monika Maciejewska, Andi Azizah, Andrzej Szczurek
Sensors (2023) Vol. 23, Iss. 17, pp. 7630-7630
Open Access | Times Cited: 2
An Intelligent Air Monitoring System For Pollution Prediction: A Predictive Healthcare Perspective
Veerawali Behal, Ramandeep Singh
The Computer Journal (2023) Vol. 67, Iss. 5, pp. 1763-1782
Closed Access | Times Cited: 2
Joint probability distribution of weather factors: a neural network approach for environmental science
Yong Sik Yang, Dongsheng Li, Haibin Li, et al.
Stochastic Environmental Research and Risk Assessment (2023) Vol. 37, Iss. 11, pp. 4385-4397
Closed Access | Times Cited: 2
Time Series Analysis and Forecasting of Air Quality Index of Dhaka City of Bangladesh
Sheikh Rahmatulla Sakib, Kamarun Nahar Sara, Md. Tahmid Hossain Rasel, et al.
2022 IEEE World AI IoT Congress (AIIoT) (2023), pp. 0063-0069
Closed Access | Times Cited: 2
Real‐Time Air Quality Index Detection through Regression‐Based Convolutional Neural Network Model on Captured Images
Pritisha Sarkar, Duranta Durbaar Vishal Saha, Mousumi Saha
Environmental Quality Management (2024) Vol. 34, Iss. 1
Closed Access
Enhancing epidemic modeling: exploring heavy-tailed dynamics with the generalized tempered stable distribution
Yassine Sabbar, Aeshah A. Raezah, M. Moumni
AIMS Mathematics (2024) Vol. 9, Iss. 10, pp. 29496-29528
Open Access
A modified PSO based hybrid deep learning approach to predict AQI of urban metropolis
Nairita Sarkar, Pankaj Kumar Keserwani, Mahesh Chandra Govil
Urban Climate (2024) Vol. 58, pp. 102212-102212
Closed Access
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