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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:

Air quality prediction using CNN+LSTM-based hybrid deep learning architecture
Ayşenur Gılık, Arif Selçuk Öğrencı, Atilla Özmen
Environmental Science and Pollution Research (2021) Vol. 29, Iss. 8, pp. 11920-11938
Closed Access | Times Cited: 83

Showing 26-50 of 83 citing articles:

Multivariate Time-Series Forecasting: A Review of Deep Learning Methods in Internet of Things Applications to Smart Cities
Vasilis Papastefanopoulos, Pantelis Linardatos, Theodor Panagiotakopoulos, et al.
Smart Cities (2023) Vol. 6, Iss. 5, pp. 2519-2552
Open Access | Times Cited: 11
Deep-SDM: A Unified Computational Framework for Sequential Data Modeling Using Deep Learning Models
Nawa Raj Pokhrel, Keshab R. Dahal, Ramchandra Rimal, et al.
Software (2024) Vol. 3, Iss. 1, pp. 47-61
Open Access | Times Cited: 4
Air Quality Predictions in Urban Areas Using Hybrid ARIMA and Metaheuristic LSTM
S. Gunasekar, G. Joselin Retna Kumar, G. Pius Agbulu
Computer Systems Science and Engineering (2022) Vol. 43, Iss. 3, pp. 1271-1284
Open Access | Times Cited: 16
Updated Prediction of Air Quality Based on Kalman-Attention-LSTM Network
Hao Zhou, Tao Wang, Hongchao Zhao, et al.
Sustainability (2022) Vol. 15, Iss. 1, pp. 356-356
Open Access | Times Cited: 16
Applications of remote sensing vis-à-vis machine learning in air quality monitoring and modelling: a review
Faizan Tahir Bahadur, Shagoofta Rasool Shah, ‪Rama Rao Nidamanuri
Environmental Monitoring and Assessment (2023) Vol. 195, Iss. 12
Closed Access | Times Cited: 9
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
Uncovering local aggregated air quality index with smartphone captured images leveraging efficient deep convolutional neural network
Joyanta Jyoti Mondal, Md. Farhadul Islam, Raima Islam, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
State-of-art in modelling particulate matter (PM) concentration: a scoping review of aims and methods
Lorenzo Gianquintieri, Daniele Oxoli, Enrico G. Caiani, et al.
Environment Development and Sustainability (2024)
Open Access | Times Cited: 3
Auto imputation enabled deep Temporal Convolutional Network (TCN) model for pm2.5 forecasting
K. Krishna Rani Samal
ICST Transactions on Scalable Information Systems (2024) Vol. 11
Open Access | Times Cited: 3
ADNNet: Attention-based deep neural network for Air Quality Index prediction
Xiankui Wu, Xinyu Gu, Khay Wai See
Expert Systems with Applications (2024) Vol. 258, pp. 125128-125128
Open Access | Times Cited: 3
Characterization and prediction of PM2.5 levels in Afghanistan using machine learning techniques
Obaidullah Salehie, Mohamad Hidayat Jamal, Shamsuddin Shahid
Theoretical and Applied Climatology (2024) Vol. 155, Iss. 9, pp. 9081-9097
Closed Access | Times Cited: 3
Hazard Susceptibility Mapping with Machine and Deep Learning: A Literature Review
Angelly de Jesus Pugliese Viloria, A. Folini, Daniela Carrión, et al.
Remote Sensing (2024) Vol. 16, Iss. 18, pp. 3374-3374
Open Access | Times Cited: 3
AQE-Net: A Deep Learning Model for Estimating Air Quality of Karachi City from Mobile Images
Maqsood Ahmed, Yonglin Shen, Mansoor Ahmed, et al.
Remote Sensing (2022) Vol. 14, Iss. 22, pp. 5732-5732
Open Access | Times Cited: 14
Prediction and assessment of the impact of COVID-19 lockdown on air quality over Kolkata: a deep transfer learning approach
Debashree Dutta, Sankar K. Pal
Environmental Monitoring and Assessment (2022) Vol. 195, Iss. 1
Open Access | Times Cited: 13
A Development of PM2.5 Forecasting System in South Korea Using Chemical Transport Modeling and Machine Learning
Youn-Seo Koo, Hee-Yong Kwon, Hyosik Bae, et al.
Asia-Pacific Journal of Atmospheric Sciences (2023) Vol. 59, Iss. 5, pp. 577-595
Closed Access | Times Cited: 7
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
Air pollutant diffusion trend prediction based on deep learning for targeted season—North China as an example
Bo Zhang, Zhihao Wang, Yunjie Lu, et al.
Expert Systems with Applications (2023) Vol. 232, pp. 120718-120718
Closed Access | Times Cited: 6
A novel approach for the prediction and analysis of daily concentrations of particulate matter using machine learning
Balamurugan Panneerselvam, Nagavinothini Ravichandran, U.C. Dumka, et al.
The Science of The Total Environment (2023) Vol. 897, pp. 166178-166178
Closed Access | Times Cited: 5
Sustainable optimized LSTM-based intelligent system for air quality prediction in Chennai
S. Gunasekar, G. Joselin Retna Kumar, Y. Dileep Kumar
Acta Geophysica (2022) Vol. 70, Iss. 6, pp. 2889-2899
Closed Access | Times Cited: 8
Data analysis and preprocessing techniques for air quality prediction: a survey
Chengqing Yu, Jing Tan, Yihan Cheng, et al.
Stochastic Environmental Research and Risk Assessment (2024) Vol. 38, Iss. 6, pp. 2095-2117
Closed Access | Times Cited: 1
Modelling the Daily Concentration of Airborne Particles Using 1D Convolutional Neural Networks
Ivan Gudelj, Mario Lovrić, Emmanuel Karlo Nyarko
(2024), pp. 16-16
Open Access | Times Cited: 1
A new decomposition-integrated air quality index prediction model
Xiaolei Sun, Zhongda Tian, Zhijia Zhang
Earth Science Informatics (2023) Vol. 16, Iss. 3, pp. 2307-2321
Closed Access | Times Cited: 4
Quantifying uncertainty: Air quality forecasting based on dynamic spatial-temporal denoising diffusion probabilistic model
Kehua Chen, Guangbo Li, Hewen Li, et al.
Environmental Research (2024) Vol. 249, pp. 118438-118438
Closed Access | Times Cited: 1
Hourly Particulate Matter (PM10) Concentration Forecast in Germany Using Extreme Gradient Boosting
Stefan Wallek, Marcel Langner, Sebastian Schubert, et al.
Atmosphere (2024) Vol. 15, Iss. 5, pp. 525-525
Open Access | Times Cited: 1
Air quality prediction for Chengdu based on long short-term memory neural network with improved jellyfish search optimizer
Qixian Song, Jing Zou, Min Xu, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 23, pp. 64416-64442
Closed Access | Times Cited: 3

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