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:

Spatiotemporal estimation of hourly 2-km ground-level ozone over China based on Himawari-8 using a self-adaptive geospatially local model
Yuan Wang, Qiangqiang Yuan, Liye Zhu, et al.
Geoscience Frontiers (2021) Vol. 13, Iss. 1, pp. 101286-101286
Open Access | Times Cited: 47

Showing 1-25 of 47 citing articles:

From degrade to upgrade: Learning a self-supervised degradation guided adaptive network for blind remote sensing image super-resolution
Yi Xiao, Qiangqiang Yuan, Kui Jiang, et al.
Information Fusion (2023) Vol. 96, pp. 297-311
Closed Access | Times Cited: 142

Space-time super-resolution for satellite video: A joint framework based on multi-scale spatial-temporal transformer
Yi Xiao, Qiangqiang Yuan, Jiang He, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 108, pp. 102731-102731
Open Access | Times Cited: 89

Substantially underestimated global health risks of current ozone pollution
Yuan Wang, Yuanjian Yang, Qiangqiang Yuan, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access | Times Cited: 2

Study on the spatiotemporal dynamic of ground-level ozone concentrations on multiple scales across China during the blue sky protection campaign
Bin Guo, Haojie Wu, Lin Pei, et al.
Environment International (2022) Vol. 170, pp. 107606-107606
Open Access | Times Cited: 48

Air quality indicators and AQI prediction coupling long-short term memory (LSTM) and sparrow search algorithm (SSA): A case study of Shanghai
Xingpo Liu, Hongyuan Guo
Atmospheric Pollution Research (2022) Vol. 13, Iss. 10, pp. 101551-101551
Closed Access | Times Cited: 38

Deep Blind Super-Resolution for Satellite Video
Yi Xiao, Qiangqiang Yuan, Qiang Zhang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-16
Open Access | Times Cited: 30

Spatially continuous mapping of hourly ground ozone levels assisted by Himawari-8 short wave radiation products
Yixiao Zhang, Wei Wang, Junchen He, et al.
GIScience & Remote Sensing (2023) Vol. 60, Iss. 1
Open Access | Times Cited: 27

Modeling air quality PM2.5 forecasting using deep sparse attention-based transformer networks
Zhenyu Zhang, Shiqing Zhang
International Journal of Environmental Science and Technology (2023) Vol. 20, Iss. 12, pp. 13535-13550
Open Access | Times Cited: 24

Cooperative simultaneous inversion of satellite-based real-time PM2.5 and ozone levels using an improved deep learning model with attention mechanism
Xing Yan, Chen Zuo, Zhanqing Li, et al.
Environmental Pollution (2023) Vol. 327, pp. 121509-121509
Open Access | Times Cited: 22

Estimation of near-surface ozone concentration and analysis of main weather situation in China based on machine learning model and Himawari-8 TOAR data
Bin Chen, Yixuan Wang, Jianping Huang, et al.
The Science of The Total Environment (2022) Vol. 864, pp. 160928-160928
Closed Access | Times Cited: 36

DsTer: A dense spectral transformer for remote sensing spectral super-resolution
Jiang He, Qiangqiang Yuan, Jie Li, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 109, pp. 102773-102773
Open Access | Times Cited: 31

Determination of major drive of ozone formation and improvement of O3 prediction in typical North China Plain based on interpretable random forest model
L. Yao, Han Yan, Xin Qi, et al.
The Science of The Total Environment (2024) Vol. 934, pp. 173193-173193
Closed Access | Times Cited: 6

Estimation of high spatial resolution ground-level ozone concentrations based on Landsat 8 TIR bands with deep forest model
Muyu Li, Qianqian Yang, Qiangqiang Yuan, et al.
Chemosphere (2022) Vol. 301, pp. 134817-134817
Closed Access | Times Cited: 27

Global spatiotemporal completion of daily high-resolution TCCO from TROPOMI over land using a swath-based local ensemble learning method
Yuan Wang, Qiangqiang Yuan, Siqin Zhou, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2022) Vol. 194, pp. 167-180
Open Access | Times Cited: 24

Generating a long-term (2003−2020) hourly 0.25° global PM2.5 dataset via spatiotemporal downscaling of CAMS with deep learning (DeepCAMS)
Yi Xiao, Yuan Wang, Qiangqiang Yuan, et al.
The Science of The Total Environment (2022) Vol. 848, pp. 157747-157747
Closed Access | Times Cited: 23

Joint estimation of PM2.5 and O3 over China using a knowledge-informed neural network
Tongwen Li, Qianqian Yang, Yuan Wang, et al.
Geoscience Frontiers (2022) Vol. 14, Iss. 2, pp. 101499-101499
Open Access | Times Cited: 23

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

Comprehensive 24-Hour Ground-Level Ozone Monitoring: Leveraging Machine Learning for Full-Coverage Estimation in East Asia
Yejin Kim, Seohui Park, Hyunyoung Choi, et al.
Journal of Hazardous Materials (2025) Vol. 488, pp. 137369-137369
Closed Access

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

Improved seamless mapping of surface O3 concentrations using an integrated deep learning framework
Tongwen Li, Jingan Wu, Yuan Wang, et al.
npj Climate and Atmospheric Science (2025) Vol. 8, Iss. 1
Open Access

Explainable and spatial dependence deep learning model for satellite-based O3 monitoring in China
Nana Luo, Zhou Zang, Chuan Yin, et al.
Atmospheric Environment (2022) Vol. 290, pp. 119370-119370
Open Access | Times Cited: 19

Spatiotemporal estimation of 6-hour high-resolution precipitation across China based on Himawari-8 using a stacking ensemble machine learning model
Siqin Zhou, Yuan Wang, Qiangqiang Yuan, et al.
Journal of Hydrology (2022) Vol. 609, pp. 127718-127718
Open Access | Times Cited: 16

Estimating monthly surface ozone using multi-source satellite products in China based on Deep Forest model
Xueyao Chen, Zhige Wang, Yulin Shangguan, et al.
Atmospheric Environment (2023) Vol. 307, pp. 119819-119819
Closed Access | Times Cited: 10

First estimation of hourly full-coverage ground-level ozone from Fengyun-4A satellite using machine learning
Ling Gao, H. Zhang, Fukun Yang, et al.
Environmental Research Letters (2024) Vol. 19, Iss. 2, pp. 024040-024040
Open Access | Times Cited: 3

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