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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:

Retrieving PM2.5 with high spatio-temporal coverage by TOA reflectance of Himawari-8
Jianhua Yin, Feiyue Mao, Lin Zang, et al.
Atmospheric Pollution Research (2021) Vol. 12, Iss. 4, pp. 14-20
Open Access | Times Cited: 31

Showing 1-25 of 31 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: 10
Estimation of Atmospheric PM10 Concentration in China Using an Interpretable Deep Learning Model and Top‐of‐the‐Atmosphere Reflectance Data From China’s New Generation Geostationary Meteorological Satellite, FY‐4A
Bin Chen, Zhihao Song, Jianping Huang, et al.
Journal of Geophysical Research Atmospheres (2022) Vol. 127, Iss. 9
Open Access | Times Cited: 29
Retrieval of hourly PM2.5 using top-of-atmosphere reflectance from geostationary ocean color imagers I and II
Hyunyoung Choi, Seonyoung Park, Yoojin Kang, et al.
Environmental Pollution (2023) Vol. 323, pp. 121169-121169
Closed Access | Times Cited: 13
Estimation of Near-Surface High Spatiotemporal Resolution Ozone Concentration in China Using Himawari-8 AOD
Yixuan Wang, Chongshui Gong, Li Dong, et al.
Remote Sensing (2025) Vol. 17, Iss. 3, pp. 528-528
Open Access
High temporal and spatial resolution PM2.5 dataset acquisition and pollution assessment based on FY-4A TOAR data and deep forest model in China
Zhihao Song, Bin Chen, Peng Zhang, et al.
Atmospheric Research (2022) Vol. 274, pp. 106199-106199
Open Access | Times Cited: 19
Estimation of PM<sub>2.5</sub> concentration in China using linear hybrid machine learning model
Zhihao Song, Бин Чэн, Yue Huang, et al.
Atmospheric measurement techniques (2021) Vol. 14, Iss. 8, pp. 5333-5347
Open Access | Times Cited: 23
Fine particulate concentrations over East Asia derived from aerosols measured by the advanced Himawari Imager using machine learning
Yeseul Cho, Jhoon Kim, Jeewoo Lee, et al.
Atmospheric Research (2023) Vol. 290, pp. 106787-106787
Closed Access | Times Cited: 10
An interpretable deep forest model for estimating hourly PM10 concentration in China using Himawari-8 data
Bin Chen, Zhihao Song, Baolong Shi, et al.
Atmospheric Environment (2021) Vol. 268, pp. 118827-118827
Open Access | Times Cited: 19
Exploring high-resolution near-surface CO concentrations based on Himawari-8 top-of-atmosphere radiation data: Assessing the distribution of city-level CO hotspots in China
Бин Чэн, Jiashun Hu, Zhihao Song, et al.
Atmospheric Environment (2023) Vol. 312, pp. 120021-120021
Closed Access | Times Cited: 7
Estimation of Regional Ground-Level PM2.5 Concentrations Directly from Satellite Top-of-Atmosphere Reflectance Using A Hybrid Learning Model
Yu Feng, Shurui Fan, Kewen Xia, et al.
Remote Sensing (2022) Vol. 14, Iss. 11, pp. 2714-2714
Open Access | Times Cited: 12
Exploring the detailed spatiotemporal characteristics of PM2.5: Generating a full-coverage and hourly PM2.5 dataset in the Sichuan Basin, China
Siwei Zhai, Yi Zhang, Jingfei Huang, et al.
Chemosphere (2022) Vol. 310, pp. 136786-136786
Open Access | Times Cited: 10
Improving PM2.5 predictions during COVID-19 lockdown by assimilating multi-source observations and adjusting emissions
Liuzhu Chen, Feiyue Mao, Jia Hong, et al.
Environmental Pollution (2021) Vol. 297, pp. 118783-118783
Open Access | Times Cited: 14
Estimation of the PM2.5 and PM10 Mass Concentration over Land from FY-4A Aerosol Optical Depth Data
Yuxin Sun, Yong Xue, Xingxing Jiang, et al.
Remote Sensing (2021) Vol. 13, Iss. 21, pp. 4276-4276
Open Access | Times Cited: 12
PM2.5 Estimation in Day/Night-Time from Himawari-8 Infrared Bands via a Deep Learning Neural Network
Junwei Wang, Kun Gao, Xiuqing Hu, et al.
Remote Sensing (2023) Vol. 15, Iss. 20, pp. 4905-4905
Open Access | Times Cited: 4
Joint features random forest (JFRF) model for mapping hourly surface PM2.5 over China
Lechao Dong, Siwei Li, Jia Xing, et al.
Atmospheric Environment (2022) Vol. 273, pp. 118969-118969
Open Access | Times Cited: 7
High-Resolution PM2.5 Concentrations Estimation Based on Stacked Ensemble Learning Model Using Multi-Source Satellite TOA Data
Qiming Fu, Hong Guo, Xingfa Gu, et al.
Remote Sensing (2023) Vol. 15, Iss. 23, pp. 5489-5489
Open Access | Times Cited: 3
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
Mapping PM2.5 concentration from the top-of-atmosphere reflectance of Himawari-8 via an ensemble stacking model
Xiaoyang Chen, Wenhao Zhang, Jiacheng He, et al.
Atmospheric Environment (2024) Vol. 330, pp. 120560-120560
Closed Access
Fine-Scale Mapping of Particulate Matter Using Landsat Imagery and Low-Cost Sensor Data from Purpleair: A Case Study of Los Angeles
Shengjie Liu, Siqin Wang
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2024), pp. 3850-3853
Closed Access
Joint Retrieval of PM2.5 Concentration and Aerosol Optical Depth over China Using Multi-Task Learning on FY-4A AGRI
Bo Li, Disong Fu, Ling Yang, et al.
Advances in Atmospheric Sciences (2024) Vol. 42, Iss. 1, pp. 94-110
Closed Access
Fine mapping of PM<sub>2.5</sub> based on measurements from geostationary satellites and grid monitoring stations
Donghao Fan, Kai Qin, Juan Du, et al.
National Remote Sensing Bulletin (2022) Vol. 26, Iss. 5, pp. 1015-1026
Open Access
Comment on amt-2021-64
Zhihao Song, Bin Chen, Yue Huang, et al.
(2021)
Open Access
Reply on RC3
Zhihao Song
(2021)
Open Access
Comment on amt-2021-64
Zhihao Song, Бин Чэн, Yue Huang, et al.
(2021)
Open Access
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