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:
Ozone Concentration Estimation and Meteorological Impact Quantification in the Beijing‐Tianjin‐Hebei Region Based on Machine Learning Models
Zheng Luo, Peilan Lu, Zhe Chen, et al.
Earth and Space Science (2024) Vol. 11, Iss. 2
Open Access | Times Cited: 5
Zheng Luo, Peilan Lu, Zhe Chen, et al.
Earth and Space Science (2024) Vol. 11, Iss. 2
Open Access | Times Cited: 5
Showing 5 citing articles:
Impacts of meteorological and precursor emission factors on PM2.5 and O3 from 2019 to 2022: Insights from multiple perspectives
Decai Gong, Ning Du, Li Wang, et al.
Atmospheric Research (2025), pp. 107933-107933
Closed Access
Decai Gong, Ning Du, Li Wang, et al.
Atmospheric Research (2025), pp. 107933-107933
Closed Access
Evaluation of Deep Learning Methods for Forecasting Turbidity in River Networks Using Sentinel-2 Remote Sensing Data
Victor Rocha Santos, Paulo Alexandre Costa Rocha, Jesse Thé, et al.
(2025)
Closed Access
Victor Rocha Santos, Paulo Alexandre Costa Rocha, Jesse Thé, et al.
(2025)
Closed Access
Application of machine learning and deep learning techniques in modeling the associations between air pollution and meteorological parameters in urban areas of tehran metropolis
Parisa Kahrari, Shahriar Khaledi, Ghasem Keikhosravi, et al.
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 10
Closed Access | Times Cited: 1
Parisa Kahrari, Shahriar Khaledi, Ghasem Keikhosravi, et al.
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 10
Closed Access | Times Cited: 1
Enhancing Turbidity Modeling in the Mississippi River Using Machine Learning and Sentinel‐2 Remote Sensing Data: A Generalizability Analysis
Paulo Alexandre Costa Rocha, Victor Oliveira Santos, Jesse Thé, et al.
(2024)
Open Access
Paulo Alexandre Costa Rocha, Victor Oliveira Santos, Jesse Thé, et al.
(2024)
Open Access
High-resolution full-coverage ozone (O3) estimates using a data-driven spatial random forest model in Beijing-Tianjin-Hebei region, China
Junyu Wang, Jian Qian, Jiayi Chen, et al.
Journal of Hazardous Materials (2024) Vol. 480, pp. 136047-136047
Closed Access
Junyu Wang, Jian Qian, Jiayi Chen, et al.
Journal of Hazardous Materials (2024) Vol. 480, pp. 136047-136047
Closed Access
