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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:

Assessing the effectiveness of artificial neural networks (ANN) and multiple linear regressions (MLR) in forcasting AQI and PM10 and evaluating health impacts through AirQ+ (case study: Tehran)
Seyedeh Reyhaneh Shams, Saba Kalantary, Ali Jahani, et al.
Environmental Pollution (2023) Vol. 338, pp. 122623-122623
Closed Access | Times Cited: 19

Showing 19 citing articles:

Spatio-temporal variation of particulate matter with health impact assessment and long-range transport - case study: Ankara, Türkiye
Ebru Koçak, İlker Balcılar
The Science of The Total Environment (2024) Vol. 938, pp. 173650-173650
Closed Access | Times Cited: 5
A new deep neural network for forecasting: Deep dendritic artificial neural network
Erol Eğrioğlu, Eren Baş
Artificial Intelligence Review (2024) Vol. 57, Iss. 7
Open Access | Times Cited: 5
Estimation of PM concentrations in the Philippines using Sentinel-5P and artificial neural network
Ma. Angelica S. De Hitta, Ellison C. Castro, Miguel Félix, et al.
(2025), pp. 30-30
Closed Access
Enhancing air quality predictions in Chile: Integrating ARIMA and Artificial Neural Network models for Quintero and Coyhaique cities
Fidel Vallejo, Diana Yánez, Patricia Viñán-Guerrero, et al.
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0314278-e0314278
Open Access
Explainable deep learning hybrid modeling framework for total suspended particles concentrations prediction
Sujan Ghimire, Ravinesh C. Deo, Ningbo Jiang, et al.
Atmospheric Environment (2025), pp. 121079-121079
Closed Access
Urban green space, respiratory health and rising temperatures: An examination of the complex relationship between green space and adult asthma across racialized neighborhoods in Los Angeles County
Peng Chen, B M HANLON
Landscape and Urban Planning (2025) Vol. 258, pp. 105320-105320
Open Access
Assessing the effectiveness of long short-term memory and artificial neural network in predicting daily ozone concentrations in Liaocheng City
Qingchun Guo, Zhenfang He, Zhaosheng Wang
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Innovative approaches for accurate ozone prediction and health risk analysis in South Korea: The combined effectiveness of deep learning and AirQ+
Seyedeh Reyhaneh Shams, Yunsoo Choi, Deveshwar Singh, et al.
The Science of The Total Environment (2024) Vol. 946, pp. 174158-174158
Closed Access | Times Cited: 4
Short-term exposure to PM 2.5 pollution in Iran and related burden diseases
Parastoo Baharvand, Patrick Amoatey, Yusef Omidi Khaniabadi, et al.
International Journal of Environmental Health Research (2025), pp. 1-13
Closed Access
Association between NO 2 and human mobility: a two-year spatiotemporal study during the COVID-19 pandemic in Southeast Asia
Zhaoyin Liu, Yangyang Li, Andrea Law, et al.
Annals of GIS (2024) Vol. 30, Iss. 4, pp. 475-492
Open Access | Times Cited: 3
A novel concern from two sample Mendelian randomization study: The effects of air pollution exposure on the cardiovascular, respiratory, and nervous system
Yueyao Wang, Ruiwen Wang, Zhe Peng, et al.
Ecotoxicology and Environmental Safety (2024) Vol. 284, pp. 116871-116871
Open Access | Times Cited: 3
Air pollutant prediction based on a attention mechanism model of the Yangtze River Delta region in frequent heatwaves
Bingchun Liu, Mingzhao Lai, Peng Zeng, et al.
Atmospheric Research (2024), pp. 107701-107701
Closed Access | Times Cited: 3
Towards cleaner air in Siliguri: A comprehensive study of PM2.5 and PM10 through advance computational forecasting models for effective environmental interventions
Arghadeep Bose, Indrajit Roy Chowdhury
Atmospheric Pollution Research (2023) Vol. 15, Iss. 2, pp. 101976-101976
Closed Access | Times Cited: 8
Spatial heterogeneity of meteorological elements and PM2.5: Joint environmental-meteorological effects on PM2.5 in a Cold City
Dongliang Han, Mingqi Wang, Tiantian Zhang, et al.
Urban Climate (2024) Vol. 58, pp. 102160-102160
Closed Access | Times Cited: 2
Impacts of PM10 exposure on hospitalization for acute bronchitis in Ankara, Türkiye
Hılal Arslan, Adnan Ağır, Göksel Demir
Frontiers in Life Sciences and Related Technologies (2024) Vol. 5, Iss. 1, pp. 1-5
Open Access | Times Cited: 1
Investigating Two-dimensional Horizontal Mesh Grid Effects on the Eulerian Atmospheric Transport Model Using Artificial Neural Network
Amine Ajdour, Brahim Ydir, Houria Bouzghiba, et al.
Aerosol and Air Quality Research (2024) Vol. 24, Iss. 8, pp. 230309-230309
Open Access | Times Cited: 1
Utilizing innovative input data and ANN modeling to predict atmospheric gross beta radioactivity in Spain
Abdelhamid Nouayti, I. Berriban, E. Chham, et al.
Atmospheric Pollution Research (2024) Vol. 15, Iss. 11, pp. 102264-102264
Closed Access | Times Cited: 1
Analyzing meteorological factors for forecasting PM10 and PM2.5 levels: a comparison between MLR and MLP models
Nastaran Talepour, Yaser Tahmasebi Birgani, Frank J. Kelly, et al.
Earth Science Informatics (2024)
Closed Access | Times Cited: 1
The study of indoor particulate matter in office buildings based on artificial intelligence
Somayeh Soleimani-Alyar, Maryam Soleimani-Alyar, Rasoul Yarahmadi, et al.
International Journal of Environmental Science and Technology (2024)
Closed Access
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