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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:

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

Showing 1-25 of 35 citing articles:

Exploring the role of computer vision in product design and development: a comprehensive review
Lu Yang, Raman Kumar, Rupinder Kaur, et al.
International Journal on Interactive Design and Manufacturing (IJIDeM) (2024) Vol. 18, Iss. 6, pp. 3633-3680
Closed Access | Times Cited: 15
Deep learning methods for atmospheric PM2.5 prediction: A comparative study of transformer and CNN-LSTM-attention
Bowen Cui, Minyi Liu, Shanqiang Li, et al.
Atmospheric Pollution Research (2023) Vol. 14, Iss. 9, pp. 101833-101833
Closed Access | Times Cited: 35
Air-quality prediction based on the ARIMA-CNN-LSTM combination model optimized by dung beetle optimizer
Jiahui Duan, Yaping Gong, Jun Luo, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 35
Fractionation of dyes/salts using loose nanofiltration membranes: Insight from machine learning prediction
Nadeem Baig, Jamilu Usman, Sani I. Abba, et al.
Journal of Cleaner Production (2023) Vol. 418, pp. 138193-138193
Closed Access | Times Cited: 32
Prediction, modelling, and forecasting of PM and AQI using hybrid machine learning
Mihaela Tinca Udriștioiu, Y. El Mghouchi, Hasan Yıldızhan
Journal of Cleaner Production (2023) Vol. 421, pp. 138496-138496
Closed Access | Times Cited: 25
Estimating PM2.5 utilizing multiple linear regression and ANN techniques
Sumita Gulati, Anshul Bansal, Ashok Pal, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 21
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
Bibliometric Analysis on Global Research Trends in Air Pollution Prediction Research Using Machine Learning from 1991–2023 Using Scopus Database
Asif Ansari, Abdur Rahman Quaff
Aerosol Science and Engineering (2024) Vol. 8, Iss. 3, pp. 288-306
Closed Access | Times Cited: 5
Application of the Lasso regularisation technique in mitigating overfitting in air quality prediction models
Abbas Pak, Abdullah Kaviani Rad, Mohammad Javad Nematollahi, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
An outlier detection framework for Air Quality Index prediction using linear and ensemble models
Pradeep Kumar Dongre, Viral Patel, Upendra Bhoi, et al.
Decision Analytics Journal (2025), pp. 100546-100546
Open Access
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
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
Mapping nationwide concentrations of sulfate and nitrate in ambient PM2.5 in South Korea using machine learning with ground observation data
Sang-Jin Lee, Jeong-Tae Ju, Jong-Jae Lee, et al.
The Science of The Total Environment (2024) Vol. 926, pp. 171884-171884
Closed 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
Application of additive manufacturing in biomedical domain: a bibliometric review, thematic evolution and content analysis
Raman Kumar, Sunpreet Singh, SUSHANT SUSHANT, et al.
International Journal on Interactive Design and Manufacturing (IJIDeM) (2024)
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
Air pollutant prediction based on a attention mechanism model of the Yangtze River Delta region in frequent heatwaves
Bingchun Liu, Mingzhao Lai, Peng Zeng, et al.
Atmospheric Research (2024), pp. 107701-107701
Closed Access | Times Cited: 3
Systematic Evaluation of Four Satellite AOD Datasets for Estimating PM2.5 Using a Random Forest Approach
Jana Handschuh, Thilo Erbertseder, F. W. Baier
Remote Sensing (2023) Vol. 15, Iss. 8, pp. 2064-2064
Open Access | Times Cited: 9
Optimizing urban water sustainability: Integrating deep learning, genetic algorithm, and CMIP6 GCM for groundwater potential zone prediction within a social-ecological-technological framework
Mahfuzur Rahman, Md. Monirul Islam, Hyeong-Joo Kim, et al.
Advances in Space Research (2024) Vol. 73, Iss. 12, pp. 5925-5948
Closed Access | Times Cited: 2
Bibliometric analysis of Indian research trends in air quality forecasting research using machine learning from 2007–2023 using Scopus database
Asif Ansari, Abdur Rahman Quaff
Environmental Research and Technology (2024) Vol. 7, Iss. 3, pp. 356-377
Open Access | Times Cited: 2
Exploring Spatial–Temporal Patterns of Air Pollution Concentration and Their Relationship with Land Use
Lorenzo Gianquintieri, Amruta Umakant Mahakalkar, Enrico G. Caiani
Atmosphere (2024) Vol. 15, Iss. 6, pp. 699-699
Open Access | Times Cited: 2
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
Air-Quality Prediction Based on the ARIMA-CNN- LSTM Combination Model optimized by Dung Beetle Optimizer
Jiahui Duan, Yaping Gong, Jun Luo, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 6
Impact of, Human Capital, Economic Factors, Energy Consumption, and Urban Growth on Environmental Sustainability in Morocco: An ARDL Approach
Hamdi El Asli, Lakhmaiss Hamid, Afif Zineb, et al.
International Journal of Energy Economics and Policy (2024) Vol. 14, Iss. 2, pp. 656-668
Open Access | Times Cited: 1
Machine Learning-based Forecasting of Sensor Data for Enhanced Environmental Sensing
Marta Narigina, Arturs Kempelis, Andrejs Romānovs
WSEAS TRANSACTIONS ON SYSTEMS (2023) Vol. 22, pp. 543-555
Open Access | Times Cited: 3
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