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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.

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Showing 1-25 of 29 citing articles:

Synergistic observation of FY-4A&4B to estimate CO concentration in China: combining interpretable machine learning to reveal the influencing mechanisms of CO variations
Bin Chen, Jiashun Hu, Yixuan Wang
npj Climate and Atmospheric Science (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 9
Unlocking the black box: an in-depth review on interpretability, explainability, and reliability in deep learning
Emrullah Şahin, Naciye Nur Arslan, Durmuş Özdemir
Neural Computing and Applications (2024)
Closed Access | Times Cited: 5
A synchronized estimation of hourly surface concentrations of six criteria air pollutants with GEMS data
Qianqian Yang, Jhoon Kim, Yeseul Cho, et al.
npj Climate and Atmospheric Science (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 11
Analysis of Long‐Term Trends in the Vertical Distribution and Transport Paths of Atmospheric Aerosols in Typical Regions of China Using 15 Years of CALIOP Data
Bin Chen, Li Dong, Jianping Huang, et al.
Journal of Geophysical Research Atmospheres (2023) Vol. 128, Iss. 14
Closed Access | Times Cited: 9
Improving air quality assessment using physics-inspired deep graph learning
Lianfa Li, Jinfeng Wang, Meredith Franklin, et al.
npj Climate and Atmospheric Science (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 9
State-of-art in modelling particulate matter (PM) concentration: a scoping review of aims and methods
Lorenzo Gianquintieri, Daniele Oxoli, Enrico G. Caiani, et al.
Environment Development and Sustainability (2024)
Open Access | Times Cited: 3
Distribution, Transport, and Impact on Air Quality of Two Typical Dust Events in China in 2021
Qia Ye, Xiao-Shen Zheng
Atmosphere (2023) Vol. 14, Iss. 3, pp. 432-432
Open Access | Times Cited: 6
Application of aggregation operators for forecasting PM10 fluctuations: From available Caribbean data sites to unequipped ones
Thomas Plocoste, Sébastien Regis, Silvère Paul Nuiro, et al.
Atmospheric Pollution Research (2024) Vol. 15, Iss. 6, pp. 102116-102116
Closed Access | Times Cited: 1
Dust storms from the Taklamakan Desert significantly darken snow surface on surrounding mountains
Yuxuan Xing, Yang Chen, Shirui Yan, et al.
Atmospheric chemistry and physics (2024) Vol. 24, Iss. 9, pp. 5199-5219
Open Access | Times Cited: 1
Estimation of the ground-level SO2 concentration in eastern China based on the LightGBM model and Himawari-8 TOAR
Xu Tan, Bin Chen, Yuxiang Ren, et al.
Frontiers in Earth Science (2023) Vol. 10
Open Access | Times Cited: 4
An Air Pollutants Prediction Method Integrating Numerical Models and Artificial Intelligence Models Targeting the Area around Busan Port in Korea
Hyunsu Hong, Il-Hwan Choi, Hyung-Jin Jeon, et al.
Atmosphere (2022) Vol. 13, Iss. 9, pp. 1462-1462
Open Access | Times Cited: 7
The Spatiotemporal Distribution of NO2 in China Based on Refined 2DCNN-LSTM Model Retrieval and Factor Interpretability Analysis
Ruming Chen, Bin Chen, Zhihao Song, et al.
(2023)
Open Access | Times Cited: 2
The Spatiotemporal Distribution of NO2 in China Based on Refined 2DCNN-LSTM Model Retrieval and Factor Interpretability Analysis
Ruming Chen, Jiashun Hu, Zhihao Song, et al.
Remote Sensing (2023) Vol. 15, Iss. 17, pp. 4261-4261
Open Access | Times Cited: 2
Prediction of hourly PM10 concentration through a hybrid deep learning-based method
Sahar Nasabpour Molaei, Ali Salajegheh, Hassan Khosravi, et al.
Earth Science Informatics (2023) Vol. 17, Iss. 1, pp. 37-49
Closed Access | Times Cited: 2
Reply on RC1
Yuxuan Xing
(2024)
Open Access
Comment on egusphere-2023-1443
Yuxuan Xing
(2024)
Open Access
Reply on RC2
Yuxuan Xing
(2024)
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
Improving WRF-Chem PM2.5 predictions by combining data assimilation and deep-learning-based bias correction
Xingxing Ma, Hongnian Liu, Zhen Peng
Environment International (2024) Vol. 195, pp. 109199-109199
Open Access
PM2.5 estimated directly from satellite data and from fused data produced by an interpretable multi-model stacking ensemble method
Xingxing Ma, Hongnian Liu, Qian Liu, et al.
Atmospheric Pollution Research (2024) Vol. 15, Iss. 10, pp. 102259-102259
Open Access
The Reconstruction of FY-4A and FY-4B Cloudless Top-of-Atmosphere Radiation and Full-Coverage Particulate Matter Products Reveals the Influence of Meteorological Factors in Pollution Events
Zhihao Song, Lin Zhao, Qia Ye, et al.
Remote Sensing (2024) Vol. 16, Iss. 18, pp. 3363-3363
Open Access
Real-time mapping of gapless 24-hour surface PM10 in China
Xutao Zhang, Ke Gui, Hengheng Zhao, et al.
National Science Review (2024) Vol. 12, Iss. 2
Open Access
Estimation of PM10 and PM2.5 Using Backscatter Coefficient of Ceilometer and Machine Learning
Bu-Yo Kim, Joo Wan, Yong Hee Lee
Aerosol and Air Quality Research (2023) Vol. 23, Iss. 12, pp. 230033-230033
Open Access | Times Cited: 1
Mapping of Pollution Distribution for Electric Power System Based on Satellite Remote Sensing
Yi Ma, Zhipeng Pei, Yutang Ma, et al.
Frontiers in Environmental Science (2022) Vol. 10
Open Access | Times Cited: 1
Fog–Haze Transition and Drivers in the Coastal Region of the Yangtze River Delta
Rui Lyu, Wei Gao, Yarong Peng, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 15, pp. 9608-9608
Open Access | Times Cited: 1
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