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:

Detecting Airborne Pollen Using an Automatic, Real-Time Monitoring System: Evidence from Two Sites
Maria Pilar Plaza, Franziska Kolek, Vivien Leier-Wirtz, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 4, pp. 2471-2471
Open Access | Times Cited: 22

Showing 22 citing articles:

Towards European automatic bioaerosol monitoring: Comparison of 9 automatic pollen observational instruments with classic Hirst-type traps
José María Maya‐Manzano, Fiona Tummon, Reto Abt, et al.
The Science of The Total Environment (2022) Vol. 866, pp. 161220-161220
Open Access | Times Cited: 50

Constructing a pollen proxy from low-cost Optical Particle Counter (OPC) data processed with Neural Networks and Random Forests
Sophie A. Mills, Dimitrios Bousiotis, José María Maya‐Manzano, et al.
The Science of The Total Environment (2023) Vol. 871, pp. 161969-161969
Open Access | Times Cited: 23

Climate change, airborne allergens, and three translational mitigation approaches
Paul J. Beggs, Bernard Clot, Mikhail Sofiev, et al.
EBioMedicine (2023) Vol. 93, pp. 104478-104478
Open Access | Times Cited: 22

Detection and Recognition of Pollen Grains in Multilabel Microscopic Images
Elżbieta Kubera, Agnieszka Kubik-Komar, Paweł Kurasiński, et al.
Sensors (2022) Vol. 22, Iss. 7, pp. 2690-2690
Open Access | Times Cited: 30

Automating Airborne Pollen Classification: Identifying and Interpreting Hard Samples for Classifiers
Manuel Milling, Simon Rampp, Andreas Triantafyllopoulos, et al.
Heliyon (2025) Vol. 11, Iss. 2, pp. e41656-e41656
Closed Access

Domain adaptation for improving automatic airborne pollen classification with expert-verified measurements
Predrag Matavulj, Slobodan Jelić, Domagoj Ševerdija, et al.
Applied Intelligence (2025) Vol. 55, Iss. 6
Open Access

Advanced CNN Architectures for Pollen Classification: Design and Comprehensive Evaluation
Predrag Matavulj, Marko Panić, Branko Šikoparija, et al.
Applied Artificial Intelligence (2022) Vol. 37, Iss. 1
Open Access | Times Cited: 18

Isolating the species element in grass pollen allergy: A review
Carl A. Frisk, Beverley Adams‐Groom, Matt Smith
The Science of The Total Environment (2023) Vol. 883, pp. 163661-163661
Open Access | Times Cited: 11

Field Evaluation of an Automated Pollen Sensor
Chenyang Jiang, Wenhao Wang, Linlin Du, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 11, pp. 6444-6444
Open Access | Times Cited: 17

Integration of reference data from different Rapid-E devices supports automatic pollen detection in more locations
Predrag Matavulj, Antonella Cristofori, Fabiana Cristofolini, et al.
The Science of The Total Environment (2022) Vol. 851, pp. 158234-158234
Closed Access | Times Cited: 16

Aerobiological Monitoring in an Indoor Occupational Setting Using a Real-Time Bioaerosol Sampler
Andrea Lancia, Angela Gioffrè, Federico Di Rita, et al.
Atmosphere (2023) Vol. 14, Iss. 1, pp. 118-118
Open Access | Times Cited: 8

Aeroallergen Monitoring by the National Allergy Bureau: A Review of the Past and a Look Into the Future
Estelle Levetin, Peter Pityn, German D. Ramón, et al.
The Journal of Allergy and Clinical Immunology In Practice (2022) Vol. 11, Iss. 5, pp. 1394-1400
Closed Access | Times Cited: 7

Current Status of Research on Airborne Pollen
海粟 闫
Advances in Clinical Medicine (2024) Vol. 14, Iss. 03, pp. 2013-2018
Closed Access

Isolating pollen signals from laser diode aerosol Optical Particle Counter (OPC) data through positive matrix factorization (PMF) and Unmix receptor models
Rajat Prakash Singhal, Sumit Khandelwal, Akhilendra Bhushan Gupta
The Science of The Total Environment (2024) Vol. 931, pp. 172793-172793
Closed Access

Local spatiotemporal dynamics of particulate matter and oak pollen measured by machine learning aided optical particle counters
Sophie A. Mills, A. R. MacKenzie, Francis D. Pope
The Science of The Total Environment (2024) Vol. 941, pp. 173450-173450
Open Access

Environmental Factors Affecting Pollen Allergy
国红 李
Advances in Clinical Medicine (2024) Vol. 14, Iss. 08, pp. 444-452
Closed Access

Image Processing for Improving Detection of Pollen Grains in Light Microscopy Images
Elżbieta Kubera, Alicja Wieczorkowska, Agnieszka Kubik-Komar, et al.
Proceedings of the International Conference on Information Systems Development (2024)
Closed Access

Optimisation of bioaerosol sampling using an ultralight aircraft: a novel approach in determining the 3-D atmospheric biodiversity
Maria Pilar Plaza, Athanasios Charalampopoulos, Vivien Leier-Wirtz, et al.
Heliyon (2024) Vol. 10, Iss. 20, pp. e38924-e38924
Closed Access

Towards Automation of Pollen Monitoring: Image-Based Tree Pollen Recognition
Elżbieta Kubera, Agnieszka Kubik-Komar, Alicja Wieczorkowska, et al.
Lecture notes in computer science (2022), pp. 219-229
Closed Access | Times Cited: 3

Digitally accessible knowledge about airborne pollen data in Spain
Mónica González-Alonso, Arturo H. Ariño
Aerobiologia (2022) Vol. 39, Iss. 1, pp. 175-179
Closed Access

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