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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:

Applying machine learning for large scale field calibration of low‐cost PM2.5and PM10air pollution sensors
Priscilla Adong, Engineer Bainomugisha, Deo Okure, et al.
Applied AI Letters (2022) Vol. 3, Iss. 3
Closed Access | Times Cited: 24

Showing 24 citing articles:

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
The impact of urban mobility on air pollution in Kampala, an exemplar sub-Saharan African city
Omid Ghaffarpasand, Deo Okure, Paul Green, et al.
Atmospheric Pollution Research (2024) Vol. 15, Iss. 4, pp. 102057-102057
Open Access | Times Cited: 9
Design Considerations for a Distributed Low-Cost Air Quality Sensing System for Urban Environments in Low-Resource Settings
Engineer Bainomugisha, Joel Ssematimba, Deo Okure
Atmosphere (2023) Vol. 14, Iss. 2, pp. 354-354
Open Access | Times Cited: 19
Towards Federated Learning and Multi-Access Edge Computing for Air Quality Monitoring: Literature Review and Assessment
Satheesh Abimannan, El-Sayed M. El-Alfy, Shahid Hussain, et al.
Sustainability (2023) Vol. 15, Iss. 18, pp. 13951-13951
Open Access | Times Cited: 19
AI-driven environmental sensor networks and digital platforms for urban air pollution monitoring and modelling
Engineer Bainomugisha, Priscah Adrine Warigo, Faith Busigu Daka, et al.
Societal Impacts (2024) Vol. 3, pp. 100044-100044
Open Access | Times Cited: 6
IoT-based monitoring system and air quality prediction using machine learning for a healthy environment in Cameroon
Vitrice Ruben Folifack Signing, Jacob Mbarndouka Taamté, Michaux Kountchou, et al.
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 7
Closed Access | Times Cited: 4
A Multi-Scale Convolutional Residual Time-Frequency Calibration Method for Low-Accuracy Air Pollution Data
Jiahao Liu, Fei Shi, Zhenhong Jia, et al.
Applied Sciences (2025) Vol. 15, Iss. 2, pp. 935-935
Open Access
Calibration of Low-Cost LoRaWAN-Based IoT Air Quality Monitors Using the Super Learner Ensemble: A Case Study for Accurate Particulate Matter Measurement
Gokul Balagopal, Lakitha O. H. Wijeratne, John Waczak, et al.
Sensors (2025) Vol. 25, Iss. 5, pp. 1614-1614
Open Access
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
Computer Science Education in Selected Countries from Sub-Saharan Africa
Engineer Bainomugisha, Karen Bradshaw, Martin Mabeifam Ujakpa, et al.
ACM Inroads (2024) Vol. 15, Iss. 1, pp. 64-82
Open Access | Times Cited: 3
Air Pollution (PM2.5) and its Meteorology Predictors in Kampala and Jinja cities, in Uganda.
Aishat Jumoke Alaran, Natasha O'Sullivan, Lambed Tatah, et al.
Environmental Science Atmospheres (2024) Vol. 4, Iss. 10, pp. 1145-1156
Open Access | Times Cited: 2
Detecting and quantifying PM2.5 and NO2 contributions from train and road traffic in the vicinity of a major railway terminal in Dublin, Ireland
Shanmuga Priyan, Yuxuan Guo, Aonghus McNabola, et al.
Environmental Pollution (2024) Vol. 361, pp. 124903-124903
Open Access | Times Cited: 2
Seeing the air in detail: Hyperlocal air quality dataset collected from spatially distributed AirQo network
Richard Sserunjogi, Joel Ssematimba, Deo Okure, et al.
Data in Brief (2022) Vol. 44, pp. 108512-108512
Open Access | Times Cited: 8
Analysis and Exposure Assessment of Factors That Affect the Concentration of Ambient PM2.5 in Seoul Based on Population Movement
Jaemin Woo, Jihun Shin, Gihong Min, et al.
Korean Journal of Environmental Health Sciences (2024) Vol. 50, Iss. 1, pp. 6-15
Open Access | Times Cited: 1
Developing and Deploying End‐to‐End Machine Learning Systems for Social Impact: A Rubric and Practical Artificial Intelligence Case Studies From African Contexts
Engineer Bainomugisha, Joyce Nakatumba‐Nabende
Applied AI Letters (2024) Vol. 5, Iss. 4
Open Access | Times Cited: 1
Unveiling the Transparency of Prediction Models for Spatial PM2.5 over Singapore: Comparison of Different Machine Learning Approaches with eXplainable Artificial Intelligence
S. S. Sunder, Vinay Anand Tikkiwal, Arun Kumar, et al.
AI (2023) Vol. 4, Iss. 4, pp. 787-811
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
Monitoring of PM2.5 Using Well-Calibrated Low-Cost Sensors over One Year in Burkina Faso
Bernard Nana, Garima Raheja, Issoufou Ouarma, et al.
ACS ES&T Air (2024)
Closed Access
Calibration of Low-Cost Air Sensors in the Presence of Pollutant Interferences: An Outdoor Evaluation
Aymane Souani, Vincent Vigneron, H. Mâaref, et al.
Lecture notes in civil engineering (2024), pp. 403-416
Closed Access
Analysis of measurement uncertainty for verification/calibration of particulate matter measuring instruments using the gravimetric method
Nam Thanh Duong, Tùng Trần, Hoa T. K. Tran, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 085801-085801
Closed Access
Unveiling the potential of a novel portable air quality platform for assessment of fine and coarse particulate matter: in-field testing, calibration, and machine learning insights
Dušan Topalović, Viša Tasić, Jelena S Stanković Petrović, et al.
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 10
Closed Access
Association between ambient air pollution and respiratory health in Kampala, Uganda: Implications for policy and practice
Gabriel Okello, Rebecca Nantanda, Lambed Tatah, et al.
Urban Climate (2024) Vol. 58, pp. 102128-102128
Open Access
A review of Deep Learning Privacy, Security and Defenses
Afrah Salman Dawood, Noor Kadhim Hadi
Technium Romanian Journal of Applied Sciences and Technology (2023) Vol. 12, pp. 65-83
Open Access
A Novel Approach to Reduce Air Pollution Through Machine Learning Based PM2.5 Prediction
Tarik Monwar Monsaif, Omar Farhad Alif, Swakshar Das Amarth, et al.
(2022), pp. 1-8
Open Access
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