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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:

Machine Learning Methods to Forecast the Concentration of PM10 in Lublin, Poland
Justyna Kujawska, Monika Kulisz, Piotr Oleszczuk, et al.
Energies (2022) Vol. 15, Iss. 17, pp. 6428-6428
Open Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Prediction of Buckling Behaviour of Composite Plate Element Using Artificial Neural Networks
Katarzyna Falkowicz, Monika Kulisz
Advances in Science and Technology – Research Journal (2024) Vol. 18, Iss. 1, pp. 231-243
Open Access | Times Cited: 8
Forecasting PM10 Concentrations in the Caribbean Area Using Machine Learning Models
Thomas Plocoste, Sylvio Laventure
Atmosphere (2023) Vol. 14, Iss. 1, pp. 134-134
Open Access | Times Cited: 18
Evaluating traditional versus ensemble machine learning methods for predicting missing data of daily PM10 concentration
Elham Kalantari, Hamid Gholami, Hossein Malakooti, et al.
Atmospheric Pollution Research (2024) Vol. 15, Iss. 5, pp. 102063-102063
Closed Access | Times Cited: 7
Artificial intelligence to predict soil temperatures by development of novel model
Lakindu Mampitiya, Kenjabek Rozumbetov, Namal Rathnayake, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 7
Image-based Air Quality Prediction using Convolutional Neural Networks and Machine Learning
Marviola Hardini, Mochamad Heru Riza Chakim, Lena Magdalena, et al.
Aptisi Transactions On Technopreneurship (ATT) (2023) Vol. 5, Iss. 1Sp, pp. 109-123
Open Access | Times Cited: 13
An integrated feature selection and machine learning framework for PM10 concentration prediction
Elham Kalantari, Hamid Gholami, Hossein Malakooti, et al.
Atmospheric Pollution Research (2025), pp. 102456-102456
Closed Access
Forecasting the concentration of the components of the particulate matter in Poland using neural networks
Jarosław Bernacki
Environmental Science and Pollution Research (2025)
Closed Access
Predictive machine learning and geospatial modeling reveal PM10 hotspots and guide targeted air pollution interventions in Addis Ababa, Ethiopia
Kalid Hassen Yasin, Muhammad Yasin, Anteneh Derribew Iguala, et al.
Deleted Journal (2025) Vol. 7, Iss. 4
Open Access
An IoT-based handheld environmental and air quality monitoring station
M. N. M. Aashiq, W. T. C. C. Kurera, M. G. S. P. Thilekaratne, et al.
ACTA IMEKO (2023) Vol. 12, Iss. 3, pp. 1-9
Open Access | Times Cited: 12
Forecasting PM10 levels in Sri Lanka: A comparative analysis of machine learning models PM10
Lakindu Mampitiya, Namal Rathnayake, Yukinobu Hoshino, et al.
Journal of Hazardous Materials Advances (2023) Vol. 13, pp. 100395-100395
Open Access | Times Cited: 11
Using Random Forest to improve EMEP4PL model estimates of daily PM2.5 in Poland
Tetiana Vovk, Maciej Kryza, Małgorzata Werner
Atmospheric Environment (2024) Vol. 332, pp. 120615-120615
Open Access | Times Cited: 4
Applicability of denoising-based artificial intelligence to forecast the environmental externalities
Dongsheng Cai, Ghazala Aziz, Suleman Sarwar, et al.
Geoscience Frontiers (2023) Vol. 15, Iss. 3, pp. 101740-101740
Open Access | Times Cited: 10
Predictive modelling of nitrogen dioxide using soft computing techniques in the Agra, Uttar Pradesh, India
Parveen Sihag, Tamanna Mehta, Saad Sh. Sammen, et al.
Physics and Chemistry of the Earth Parts A/B/C (2024) Vol. 134, pp. 103589-103589
Closed Access | Times Cited: 3
Machine Learning Models in Drilling of Different Types of Glass-Fiber-Reinforced Polymer Composites
Katarzyna Biruk-Urban, Paul Béré, Jerzy Jóźwik
Polymers (2023) Vol. 15, Iss. 23, pp. 4609-4609
Open Access | Times Cited: 8
Long Short-Term Memory Approach for Short-Term Air Quality Forecasting in the Bay of Algeciras (Spain)
María Inmaculada Rodríguez-García, María Gema Carrasco-García, Javier González-Enrique, et al.
Sustainability (2023) Vol. 15, Iss. 6, pp. 5089-5089
Open Access | Times Cited: 7
Evaluation of various machine learning prediction methods for particulate matter $$PM_{10}$$ in Kuwait
Ahmad Alsaber, Reem Alsahli, Ahmad T. Al‐Sultan, et al.
International Journal of Information Technology (2023) Vol. 15, Iss. 8, pp. 4505-4519
Closed Access | Times Cited: 7
Toward accurate multi-region air quality prediction: integrating transformer-based deep learning and crossover boosted dynamic arithmetic optimization (CDAO)
Vinoth Panneerselvam, T. Revathi
Signal Image and Video Processing (2024) Vol. 18, Iss. 5, pp. 4145-4156
Closed Access | Times Cited: 2
Convolutional Forecasting of Particulate Matter: Toward a Data-Driven Generalized Model
Luca Ferrari, Giorgio Guariso
Atmosphere (2024) Vol. 15, Iss. 4, pp. 398-398
Open Access | Times Cited: 2
Comparative Analysis of Machine Learning Models for Predicting PM2.5 Concentrations Using Meteorological and Chemical Indicators
Muhammad Haseeb, Zainab Tahir, Syed Amer Mahmood, et al.
Journal of Atmospheric and Solar-Terrestrial Physics (2024) Vol. 263, pp. 106338-106338
Closed Access | Times Cited: 2
A hybrid deep learning model–based LSTM and modified genetic algorithm for air quality applications
Oumaima Bouakline, Youssef El Merabet, Abdelhak Elidrissi, et al.
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 12
Closed Access | Times Cited: 1
Landscape Metrics as Ecological Indicators for PM10 Prediction in European Cities
Seyedehmehrmanzar Sohrab, Nándor Csikós, Péter Szilassi
Land (2024) Vol. 13, Iss. 12, pp. 2245-2245
Open Access | Times Cited: 1
Particulate Matter (PM1, 2.5, 10) Concentration Prediction in Ship Exhaust Gas Plume through an Artificial Neural Network
Giedrius Šilas, Paulius Rapalis, Sergėjus Lebedevas
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 1, pp. 150-150
Open Access | Times Cited: 4
Impact of carbon emissions and GDP on air quality: forecast from 20 regions of China
Yongtong Li, Lifeng Wu
Environment Development and Sustainability (2023)
Closed Access | Times Cited: 2
Perbandingan Performa Algoritma Metode Bagging dan Boosting pada Prediksi Konsentrasi PM10 di Jakarta Utara
Elita Rizkiani Putri, Dede Brahma Arianto
Jurnal Nasional Teknologi dan Sistem Informasi (2024) Vol. 10, Iss. 1, pp. 72-81
Open Access
The Role of Machine Learning in Enhancing Particulate Matter Estimation: A Systematic Literature Review
Amjad Alkhodaidi, Afraa Attiah, Alaa Mhawish, et al.
Technologies (2024) Vol. 12, Iss. 10, pp. 198-198
Open Access
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