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 1-25 of 83 citing articles:

Artificial Intelligence Technologies for Forecasting Air Pollution and Human Health: A Narrative Review
S. Shankar, Naveenkumar Raju, Abbas Ganesan, et al.
Sustainability (2022) Vol. 14, Iss. 16, pp. 9951-9951
Open Access | Times Cited: 88

Deep Spatio-Temporal Graph Network with Self-Optimization for Air Quality Prediction
Xue‐Bo Jin, Zhong-Yao Wang, Jianlei Kong, et al.
Entropy (2023) Vol. 25, Iss. 2, pp. 247-247
Open Access | Times Cited: 59

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

Spatiotemporal Air Pollution Forecasting in Houston-TX: A Case Study for Ozone Using Deep Graph Neural Networks
Victor Oliveira Santos, Paulo Alexandre Costa Rocha, John Scott, et al.
Atmosphere (2023) Vol. 14, Iss. 2, pp. 308-308
Open Access | Times Cited: 31

Supervised Machine Learning Approaches for Predicting Key Pollutants and for the Sustainable Enhancement of Urban Air Quality: A Systematic Review
Ismail Essamlali, Hasna Nhaila, Mohamed El Khaïli
Sustainability (2024) Vol. 16, Iss. 3, pp. 976-976
Open Access | Times Cited: 10

Assessing Real-Time Health Impacts of outdoor Air Pollution through IoT Integration
M. Pradeep, K. M. V. Madan Kumar, Gera Vijaya Nirmala, et al.
Engineering Technology & Applied Science Research (2024) Vol. 14, Iss. 2, pp. 13796-13803
Open Access | Times Cited: 7

Predicting the quality of air with machine learning approaches: Current research priorities and future perspectives
Khalid Mehmood, Yansong Bao, Saif Ullah, et al.
Journal of Cleaner Production (2022) Vol. 379, pp. 134656-134656
Closed Access | Times Cited: 35

AIRO: Development of an Intelligent IoT-based Air Quality Monitoring Solution for Urban Areas
Tarun Kumar, Amulya Doss
Procedia Computer Science (2023) Vol. 218, pp. 262-273
Open Access | Times Cited: 20

Air quality prediction model based on mRMR–RF feature selection and ISSA–LSTM
Huiyong Wu, Tongtong Yang, Hongkun Li, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 18

Integrated smart dust monitoring and prediction system for surface mine sites using IoT and machine learning techniques
Abhishek Kumar Tripathi, Mangalpady Aruna, Satyajeet Parida, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 7

Spatiotemporal Evolution and Influencing Mechanism of Urbanization and Ecological Environmental Quality between 2000–2020 in Henan Province, China
Xinyu Dong, Kaijian Xu, Wei Li, et al.
Remote Sensing Applications Society and Environment (2025), pp. 101492-101492
Closed Access

PM2.5 Estimation using Machine Learning Models and Satellite Data: A Literature Review
Mitra Unik, Imas Sukaesih Sitanggang, Lailan Syaufina, et al.
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 5
Open Access | Times Cited: 14

Evolution of neural network to deep learning in prediction of air, water pollution and its Indian context
Basanti Pal Nandi, Gunjan Singh, Aakash Kumar Jain, et al.
International Journal of Environmental Science and Technology (2023) Vol. 21, Iss. 1, pp. 1021-1036
Open Access | Times Cited: 13

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

Predicting air quality index using attention hybrid deep learning and quantum-inspired particle swarm optimization
Anh Tuan Nguyen, Duy Hoang Pham, Bee Lan Oo, et al.
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 4

Schlieren imaging and video classification of alphabet pronunciations: exploiting phonetic flows for speech recognition and speech therapy
Mohamed Talaat, Kian Barari, Xiuhua April, et al.
Visual Computing for Industry Biomedicine and Art (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 4

Assessment of Deep Neural Network Models for Direct and Recursive Multi-Step Prediction of PM10 in Southern Spain
Javier Gómez-Gómez, E. Gutiérrez de Ravé, Francisco J. Jiménez‐Hornero
Forecasting (2025) Vol. 7, Iss. 1, pp. 6-6
Open Access

An Air Quality Forecasting Using the Artificial Neural Network in India
T. Jarin, Shine P Xavier, R. Muniraj, et al.
Advances in chemical and materials engineering book series (2025), pp. 293-316
Closed Access

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

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

Integrating Experimental Analysis and Machine Learning for Enhancing Energy Efficiency and Indoor Air Quality in Educational Buildings
Seyed Hamed Godasiaei, Obuks Ejohwomu, Hua Zhong, et al.
Building and Environment (2025), pp. 112874-112874
Closed Access

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