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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 systematic literature review of deep learning neural network for time series air quality forecasting
Nur’atiah Zaini, Lee Woen Ean, Ali Najah Ahmed, et al.
Environmental Science and Pollution Research (2021) Vol. 29, Iss. 4, pp. 4958-4990
Closed Access | Times Cited: 77

Showing 1-25 of 77 citing articles:

Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey
Navid Mohammadi Foumani, Lynn Miller, Chang Wei Tan, et al.
ACM Computing Surveys (2024) Vol. 56, Iss. 9, pp. 1-45
Open Access | Times Cited: 50
Multi-output machine learning model for regional air pollution forecasting in Ho Chi Minh City, Vietnam
Rajnish Rakholia, Quan Le, Bang Quoc Ho, et al.
Environment International (2023) Vol. 173, pp. 107848-107848
Open Access | Times Cited: 48
Deep-learning architecture for PM2.5 concentration prediction: A review
Shiyun Zhou, Wei Wang, Long Zhu, et al.
Environmental Science and Ecotechnology (2024) Vol. 21, pp. 100400-100400
Open Access | Times Cited: 17
Genetic algorithm-based hyperparameter optimization of deep learning models for PM2.5 time-series prediction
Caner Erden
International Journal of Environmental Science and Technology (2023) Vol. 20, Iss. 3, pp. 2959-2982
Closed Access | Times Cited: 35
Assessing water quality index and health risk using deterministic and probabilistic approaches in Darab County, Iran; A machine learning for fluoride prediction
Amin Mohammadpour, Mahsa Keshtkar, Mohammad Reza Samaei, et al.
Chemosphere (2024) Vol. 352, pp. 141284-141284
Closed Access | Times Cited: 12
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
Improving 3-day deterministic air pollution forecasts using machine learning algorithms
Zhiguo Zhang, Christer Johansson, Magnuz Engardt, et al.
Atmospheric chemistry and physics (2024) Vol. 24, Iss. 2, pp. 807-851
Open Access | Times Cited: 9
Deep dive into predictive excellence: Transformer's impact on groundwater level prediction
Wei Sun, Li‐Chiu Chang, Fi‐John Chang
Journal of Hydrology (2024) Vol. 636, pp. 131250-131250
Closed Access | Times Cited: 8
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
A review of the CAMx, CMAQ, WRF-Chem and NAQPMS models: Application, evaluation and uncertainty factors
Gao Zhidong, Xuehua Zhou
Environmental Pollution (2023) Vol. 343, pp. 123183-123183
Closed Access | Times Cited: 21
Methods for Urban Air Pollution Measurement and Forecasting: Challenges, Opportunities, and Solutions
Elena Mitreska Jovanovska, Victoria Batz, Petre Lameski, et al.
Atmosphere (2023) Vol. 14, Iss. 9, pp. 1441-1441
Open Access | Times Cited: 19
Investigation of relationship between polycyclic aromatic hydrocarbons and human activities in urban soils of China using machine learning methods
Xiaotian Xu, Wenbin Liu, Tianqi Jia, et al.
Journal of Cleaner Production (2023) Vol. 404, pp. 136839-136839
Closed Access | Times Cited: 17
MGAtt-LSTM: A multi-scale spatial correlation prediction model of PM2.5 concentration based on multi-graph attention
Bo Zhang, Weihong Chen, Maozhen Li, et al.
Environmental Modelling & Software (2024) Vol. 179, pp. 106095-106095
Closed Access | Times Cited: 6
Chaos theory meets deep learning: A new approach to time series forecasting
Bowen Jia, Huyu Wu, Kaiyu Guo
Expert Systems with Applications (2024) Vol. 255, pp. 124533-124533
Closed Access | Times Cited: 6
Transforming Civil Engineering with AI and Machine Learning: Innovations, Applications, and Future Directions
Dimitrios Sargiotis
(2025)
Closed Access
Smart weather forecasting: A comparative study
Yukti Varshney, N. R. Shankar Ram
AIP conference proceedings (2025) Vol. 3233, pp. 020017-020017
Closed Access
Comprehensive analysis of various imputation and forecasting models for predicting PM2.5 pollutant in Delhi
Hemanth Karnati, A. K. Soma, A K M Mubashwir Alam, et al.
Neural Computing and Applications (2025)
Open Access
Air quality prediction models based on meteorological factors and real-time data of industrial waste gas
Ying Liu, Peiyu Wang, Yong Li, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 25
Implementation of a GEOAI model to assess the impact of agricultural land on the spatial distribution of PM2.5 concentration
Lorenzo Gianquintieri, Daniele Oxoli, Enrico G. Caiani, et al.
Chemosphere (2024) Vol. 352, pp. 141438-141438
Open Access | Times Cited: 4
Using Random Forest to improve EMEP4PL model estimates of daily PM2.5 in Poland
Tetiana Vovk, Maciej Kryza, Małgorzata Werner
Atmospheric Environment (2024) Vol. 332, pp. 120615-120615
Open Access | Times Cited: 4
Ecosense: a revolution in urban air quality forecasting for smart cities
Kalyan Chatterjee, Machakanti Navya Thara, Mandadi Sriya Reddy, et al.
BMC Research Notes (2025) Vol. 18, Iss. 1
Open Access
Local vs regional neural air pollution forecasting models
Matteo Sangiorgio, Giorgio Guariso
IFAC Journal of Systems and Control (2025), pp. 100298-100298
Open Access
SFDformer: a frequency-based sparse decomposition transformer for air pollution time series prediction
Zhao Qin, Bingqing Wei, Caifeng Gao, et al.
Frontiers in Environmental Science (2025) Vol. 13
Open Access
3D AQI Mapping Data Assessment of Low-Altitude Drone Real-Time Air Pollution Monitoring
Sarun Duangsuwan, Phoowadon Prapruetdee, Mallika Subongkod, et al.
Drones (2022) Vol. 6, Iss. 8, pp. 191-191
Open Access | Times Cited: 20
Forecasting Air Quality in Kiev During 2022 Military Conflict Using Sentinel 5P and Optimized Machine Learning
Mohammad Mehrabi, Marco Scaioni, M. Previtali
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-10
Closed Access | Times Cited: 12
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