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:

Machine learning techniques to improve the field performance of low-cost air quality sensors
Tony Bush, Nick Papaioannou, Felix Leach, et al.
Atmospheric measurement techniques (2022) Vol. 15, Iss. 10, pp. 3261-3278
Open Access | Times Cited: 15

Showing 15 citing articles:

A comprehensive review on advancements in sensors for air pollution applications
Thara Seesaard, Kamonrat Kamjornkittikoon, Chatchawal Wongchoosuk
The Science of The Total Environment (2024) Vol. 951, pp. 175696-175696
Closed Access | Times Cited: 14

Empowering communities: Advancements in air quality monitoring and citizen engagement
Hélder Relvas, Diogo Lopes, Jan Mateu Armengol
Urban Climate (2025) Vol. 60, pp. 102344-102344
Open Access

Air Pollution Monitoring Using Cost-Effective Devices Enhanced by Machine Learning
Yanis Colléaux, Cédric Willaume, Bijan Mohandes, et al.
Sensors (2025) Vol. 25, Iss. 5, pp. 1423-1423
Open Access

A negative emission internal combustion engine vehicle?
Felix Leach
Atmospheric Environment (2022) Vol. 294, pp. 119488-119488
Open Access | Times Cited: 15

Smart Multi-Sensor Calibration of Low-Cost Particulate Matter Monitors
Edwin Villanueva, Soledad Espezua, George Castelar, et al.
Sensors (2023) Vol. 23, Iss. 7, pp. 3776-3776
Open Access | Times Cited: 7

Impacts of daily household activities on indoor particulate and NO2 concentrations; a case study from oxford UK
Ajit Singh, Suzanne Bartington, Pedro Abreu, et al.
Heliyon (2024) Vol. 10, Iss. 15, pp. e34210-e34210
Open Access | Times Cited: 2

What can we learn from nested IoT low‐cost sensor networks for air quality? A case study of PM2.5 in Birmingham, UK
Nicole Cowell, Clarissa Baldo, Lee Chapman, et al.
Meteorological Applications (2024) Vol. 31, Iss. 4
Open Access | Times Cited: 1

Low-Cost Air Quality Sensors: Biases, Corrections and Challenges in Their Comparability
Idris Hayward, Nicholas A. Martin, Valerio Ferracci, et al.
Atmosphere (2024) Vol. 15, Iss. 12, pp. 1523-1523
Open Access | Times Cited: 1

The impact of COVID-19 public health restrictions on particulate matter pollution measured by a validated low-cost sensor network in Oxford, UK
Tony Bush, Suzanne Bartington, Francis D. Pope, et al.
Building and Environment (2023) Vol. 237, pp. 110330-110330
Open Access | Times Cited: 3

Optimisation of the adaptive neuro-fuzzy inference system for adjusting low-cost sensors PM concentrations
Martina Casari, Piotr A. Kowalski, Laura Po
Ecological Informatics (2024) Vol. 83, pp. 102781-102781
Open Access

Evaluating the efficacy of machine learning in calibrating low-cost sensors
Zhihan Wang
Applied and Computational Engineering (2024) Vol. 71, Iss. 1, pp. 30-38
Open Access

Selection and Aggregation of Low-cost Particle Sensors for Outdoor Particulate Matter Measurement
Jie Li, Zaheer Nasar, Valerio Ferracci, et al.
2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) (2024), pp. 1-6
Closed Access

Enhancing accuracy of air quality sensors with machine learning to augment large-scale monitoring networks
Khaiwal Ravindra, Sahil Kumar, Abhishek Kumar, et al.
npj Climate and Atmospheric Science (2024) Vol. 7, Iss. 1
Open Access

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