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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:

Evaluation of nine machine learning regression algorithms for calibration of low-cost PM2.5 sensor
Vikas Kumar, Manoranjan Sahu
Journal of Aerosol Science (2021) Vol. 157, pp. 105809-105809
Closed Access | Times Cited: 92

Showing 1-25 of 92 citing articles:

A Novel Approach Combining Indoor Mobile Measurements and Interpretable Machine Learning to Unveil Highly-Resolved Indoor Air Pollution
Zhiyuan Tang, Yuan Zhao, Li Wang, et al.
Building and Environment (2025) Vol. 270, pp. 112552-112552
Closed Access | Times Cited: 1
Calibration methodology of low-cost sensors for high-quality monitoring of fine particulate matter
Marie-Laure Aix, Seán Schmitz, Dominique Bicout
The Science of The Total Environment (2023) Vol. 889, pp. 164063-164063
Closed Access | Times Cited: 22
Low-Cost Sensor Performance Intercomparison, Correction Factor Development, and 2+ Years of Ambient PM2.5 Monitoring in Accra, Ghana
Garima Raheja, James Nimo, Emmanuel K.-E. Appoh, et al.
Environmental Science & Technology (2023) Vol. 57, Iss. 29, pp. 10708-10720
Open Access | Times Cited: 22
Tutorial: Guidelines for implementing low-cost sensor networks for aerosol monitoring
Naomi Zimmerman
Journal of Aerosol Science (2021) Vol. 159, pp. 105872-105872
Open Access | Times Cited: 53
Spatiotemporal analysis of fine particulate matter for India (1980–2021) from MERRA-2 using ensemble machine learning
Vikas Kumar, Vasudev Malyan, Manoranjan Sahu, et al.
Atmospheric Pollution Research (2023) Vol. 14, Iss. 8, pp. 101834-101834
Open Access | Times Cited: 16
Calibration Methods for Low-Cost Particulate Matter Sensors Considering Seasonal Variability
Jiwoo Kang, Wonseok Choi
Sensors (2024) Vol. 24, Iss. 10, pp. 3023-3023
Open Access | Times Cited: 5
Time-Series Data-Driven PM2.5 Forecasting: From Theoretical Framework to Empirical Analysis
Chengqian Wu, Ruiyang Wang, Siyu Lu, et al.
Atmosphere (2025) Vol. 16, Iss. 3, pp. 292-292
Open Access
Thermal conductivity prediction of nano enhanced phase change materials: A comparative machine learning approach
Farzad Jaliliantabar
Journal of Energy Storage (2021) Vol. 46, pp. 103633-103633
Closed Access | Times Cited: 34
Significance of sources and size distribution on calibration of low-cost particle sensors: Evidence from a field sampling campaign
Vasudev Malyan, Vikas Kumar, Manoranjan Sahu
Journal of Aerosol Science (2022) Vol. 168, pp. 106114-106114
Closed Access | Times Cited: 26
Improving groundwater nitrate concentration prediction using local ensemble of machine learning models
Hojjatollah Mahboobi, Alireza Shakiba, Babak Mirbagheri
Journal of Environmental Management (2023) Vol. 345, pp. 118782-118782
Closed Access | Times Cited: 15
Towards a hygroscopic growth calibration for low-cost PM2.5 sensors
Milan Y. Patel, Pietro F. Vannucci, Jinsol Kim, et al.
Atmospheric measurement techniques (2024) Vol. 17, Iss. 3, pp. 1051-1060
Open Access | Times Cited: 4
Reduction in Microgrid Topology Selection Time via Hybrid Branch and Bound and k-Nearest Neighbors Techniques
Inoussa Legrene, Tony Wong, Nicolas Mary, et al.
Mathematics (2025) Vol. 13, Iss. 3, pp. 360-360
Open Access
Assessment of Fine Aerosol in Two Different Climate Regions of India Using MERRA-2 Products, Ground-based Measurements, and Machine Learning
D. M., Anurag Sahu, Jai Prakash
Aerosol Science and Engineering (2025)
Closed Access
Low-Cost PM2.5 Sensor Performance Characteristics against Meteorological Influence in Sub-Saharan Africa: Evidence from the Air Sensor Evaluation and Training Facility for the West Africa Project
James Nimo, Mathias A. Borketey, Emmanuel K.-E. Appoh, et al.
Environmental Science & Technology (2025)
Closed Access
A soft sensor for simulating algal cell density based on dynamic response to environmental changes in a eutrophic shallow lake
Wenxin Rao, Xin Qian, Yifan Fan, et al.
The Science of The Total Environment (2023) Vol. 868, pp. 161543-161543
Closed Access | Times Cited: 9
A Comparative and Systematic Study of Machine Learning (ML) Approaches for Particulate Matter (PM) Prediction
A.S. Pandya, Rudraksh Nanavaty, Kishan Pipariya, et al.
Archives of Computational Methods in Engineering (2023) Vol. 31, Iss. 2, pp. 595-614
Closed Access | Times Cited: 9
Preparation of solid-dosage nanomedicine via green chemistry route: Advanced computational simulation of nanodrug solubility prediction using machine learning models
Shuang Xia, Yi Wang
Journal of Molecular Liquids (2023) Vol. 375, pp. 121319-121319
Closed Access | Times Cited: 7
Multiple PM Low-Cost Sensors, Multiple Seasons’ Data, and Multiple Calibration Models
Srishti S, Pratyush Agrawal, Padmavati Kulkarni, et al.
Aerosol and Air Quality Research (2023) Vol. 23, Iss. 3, pp. 220428-220428
Open Access | Times Cited: 7
A Dataset-Driven Parameter Tuning Approach for Enhanced K-Nearest Neighbour Algorithm Performance
Udoinyang G. Inyang, Funebi Francis Ijebu, Francis B. Osang, et al.
International Journal on Advanced Science Engineering and Information Technology (2023) Vol. 13, Iss. 1, pp. 380-391
Open Access | Times Cited: 7
Development of a physics-based method for calibration of low-cost particulate matter sensors and comparison with machine learning models
Brijal Prajapati, Vishal R. Dharaiya, Manoranjan Sahu, et al.
Journal of Aerosol Science (2023) Vol. 175, pp. 106284-106284
Closed Access | Times Cited: 6
Multiple machine learning algorithms assisted QSPR models for aqueous solubility: Comprehensive assessment with CRITIC-TOPSIS
Tengyi Zhu, Ying Chen, Cuicui Tao
The Science of The Total Environment (2022) Vol. 857, pp. 159448-159448
Closed Access | Times Cited: 10
Mathematical optimization and prediction of Febuxostat xanthine oxidase inhibitor solubility through supercritical CO2 system using machine-learning approach
Umme Hani, Zainab Ali Bu Sinnah, Ahmad J. Obaidullah, et al.
Journal of Molecular Liquids (2023) Vol. 387, pp. 122486-122486
Closed Access | Times Cited: 5
PM2.5 Concentration Prediction in Six Major Chinese Urban Agglomerations: A Comparative Study of Various Machine Learning Methods Based on Meteorological Data
Min Duan, Yufan Sun, Binzhe Zhang, et al.
Atmosphere (2023) Vol. 14, Iss. 5, pp. 903-903
Open Access | Times Cited: 4
Machine learning aided drug development: Assessing improvement of drug efficiency by correlation of solubility in supercritical solvent for nanomedicine preparation
Mohammed Ghazwani, M. Yasmin Begum
Journal of Molecular Liquids (2023) Vol. 387, pp. 122511-122511
Closed Access | Times Cited: 4
CNN-LSTM-Based Fault Diagnosis and Adaptive Multichannel Fusion Calibration of Filament Current Sensor for Mass Spectrometer
Xinshuo Li, Pinghua Li, Zhen Zhang, et al.
IEEE Sensors Journal (2023) Vol. 24, Iss. 2, pp. 2255-2269
Closed Access | Times Cited: 4
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