Open Access Helper

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 26-50 of 35 citing articles:

Convolutional neural network-based deep learning model for air quality prediction in October city of Egypt
Nehal Elshaboury, Eslam Mohammed Abdelkader, Abobakr Al-Sakkaf
Construction Innovation (2023) Vol. 25, Iss. 2, pp. 620-640
Closed Access | Times Cited: 2
Examining Current Research Trends in Ozone Formation Sensitivity: A Bibliometric Analysis
Zeeshan Javed, Khalid Mehmood, Cheng Liu, et al.
Processes (2023) Vol. 11, Iss. 8, pp. 2240-2240
Open Access | Times Cited: 2
Deep Learning Techniques for Air Quality Prediction: A Focus on PM2.5 and Periodicity
Lakshmi Shankar, A. Krishnamoorthy
MIGRATION LETTERS (2023) Vol. 20, Iss. S13, pp. 468-484
Open Access | Times Cited: 2
AI-assisted Distributed Cloud Services Framework for Enhanced Safety in Urban Smart Cities Environment
Niveshitha Niveshitha, Fathi Amsaad, Ahmed Sherif, et al.
(2024)
Open Access
Research trends in international public sector accounting standards (IPSAS): a bibliometric analysis
Bashir Tijjani, Ahmed Ali Algarni, Faisal Abdullah Al Hudithi, et al.
Global Knowledge Memory and Communication (2024)
Closed Access
Machine Learning for Markov Modeling of COVID-19 Dynamics Concerning Air Quality Index, PM-2.5, NO2, PM-10, and O3
Izaz Ullah Khan, Mehran Ullah, Seema Tripathi, et al.
International Journal of Computational Methods and Experimental Measurements (2024) Vol. 12, Iss. 2, pp. 121-134
Open Access
Field calibration of fine particulate matter low-cost sensors in a highly industrialized semi-arid conurbation
Mariana Villarreal-Marines, Michael Pérez-Rodríguez, Yasmany Mancilla, et al.
npj Climate and Atmospheric Science (2024) Vol. 7, Iss. 1
Open Access
Intelligent, low-cost, high-performance system for environmental air quality monitoring through integrated gas, temperature, and humidity analysis
Paulo Fenelon Marinho, Gregório Mateus Santana, M. L. Felix, et al.
International Journal of Environmental Science and Technology (2023) Vol. 21, Iss. 5, pp. 4881-4898
Closed Access | Times Cited: 1
Integrated Deep Learning and Genetic Algorithm Approach for Groundwater Potential Zone Prediction Incorporating Cmip6 Gcm: Unveiling Synergies for Enhanced Water Resource Management
Mahfuzur Rahman, Md. Monirul Islam, Hyeong-Joo Kim, et al.
(2023)
Closed Access
Visually Estimating and Forecasting PM2.5 Levels Using Hybrid Architecture Deep Neural Network
Sirisup Laohakiat, Songpon Klerkkidakan, Nuwee Wiwatwattana
Current Applied Science and Technology (2023), pp. e0258074-e0258074
Open Access
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