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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:

Improving satellite-based estimation of surface ozone across China during 2008–2019 using iterative random forest model and high-resolution grid meteorological data
Gongbo Chen, Jiang Chen, Guang‐Hui Dong, et al.
Sustainable Cities and Society (2021) Vol. 69, pp. 102807-102807
Closed Access | Times Cited: 71

Showing 1-25 of 71 citing articles:

Evaluating the spatiotemporal ozone characteristics with high-resolution predictions in mainland China, 2013–2019
Xia Meng, Weidong Wang, Su Shi, et al.
Environmental Pollution (2022) Vol. 299, pp. 118865-118865
Open Access | Times Cited: 97
Prediction and evaluation of spatial distributions of ozone and urban heat island using a machine learning modified land use regression method
Li Han, Jingyuan Zhao, Yuejing Gao, et al.
Sustainable Cities and Society (2021) Vol. 78, pp. 103643-103643
Closed Access | Times Cited: 69
A comparison of machine learning methods for ozone pollution prediction
Qilong Pan, Fouzi Harrou, Ying Sun
Journal Of Big Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 30
The role of lifestyle in the association between long-term ambient air pollution exposure and cardiovascular disease: a national cohort study in China
Xiangming Hu, Luke D. Knibbs, Yingling Zhou, et al.
BMC Medicine (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 11
Four years of National Clean Air Programme (NCAP) in Indian cities: Assessment of the impact on surface ozone during the period 2018–2022
Gopalakrishna Pillai Gopikrishnan, J. Kuttippurath
Sustainable Cities and Society (2024) Vol. 101, pp. 105207-105207
Closed Access | Times Cited: 10
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: 46
Air quality improvement and cognitive function benefit: Insight from clean air action in China
Xiangming Hu, Zhiqiang Nie, Yanqiu Ou, et al.
Environmental Research (2022) Vol. 214, pp. 114200-114200
Open Access | Times Cited: 28
Full-coverage spatiotemporal estimation of surface ozone over China based on a high-efficiency deep learning model
Xidong Mu, Sichen Wang, Peng Jiang, et al.
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 118, pp. 103284-103284
Open Access | Times Cited: 20
Distance adaptive graph convolutional gated network-based smart air quality monitoring and health risk prediction in sensor-devoid urban areas
Shahzeb Tariq, Shahroz Tariq, SangYoun Kim, et al.
Sustainable Cities and Society (2023) Vol. 91, pp. 104445-104445
Closed Access | Times Cited: 16
Ozone concentration forecasting utilizing leveraging of regression machine learnings: A case study at Klang Valley, Malaysia
Sarmad Dashti Latif, Vivien Lai, Farah Hazwani Hahzaman, et al.
Results in Engineering (2024) Vol. 21, pp. 101872-101872
Open Access | Times Cited: 5
Development of a high-performance machine learning model to predict ground ozone pollution in typical cities of China
Yong Cheng, Lingyan He, Xiaofeng Huang
Journal of Environmental Management (2021) Vol. 299, pp. 113670-113670
Closed Access | Times Cited: 38
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
Surface UV-assisted retrieval of spatially continuous surface ozone with high spatial transferability
Ge Song, Siwei Li, Jia Xing, et al.
Remote Sensing of Environment (2022) Vol. 274, pp. 112996-112996
Closed Access | Times Cited: 23
An improved fusion of Landsat-7/8, Sentinel-2, and Sentinel-1 data for monitoring alfalfa: Implications for crop remote sensing
Jiang Chen, Zhou Zhang
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 124, pp. 103533-103533
Open Access | Times Cited: 14
Co‐Occurring Extremes of Fine Particulate Matter (PM2.5) and Ground‐Level Ozone in the Summer of Southern China
Yan Lyu, Haonan Wu, Xiaoran Liu, et al.
Geophysical Research Letters (2024) Vol. 51, Iss. 2
Open Access | Times Cited: 5
Long-term ambient ozone exposure and childhood asthma, rhinitis, eczema, and conjunctivitis: A multi-city study in China
Zhaohuan Gui, Zhanyu Guo, Zhou Yang, et al.
Journal of Hazardous Materials (2024) Vol. 478, pp. 135577-135577
Closed Access | Times Cited: 5
Exposure to mixtures of PM 2.5 components and term premature rupture of membranes: a case-crossover study in Shijiazhuang, China
Weiyan Ren, Huangmin Yang, Wencong Liu, et al.
International Journal of Environmental Health Research (2024) Vol. 34, Iss. 10, pp. 3400-3412
Closed Access | Times Cited: 4
Physical activity alleviated associations of oxidation capacity of the atmosphere with platelet-based inflammatory indicators: findings from the Henan Rural Cohort Study
Xiaohuan Yang, Gongbo Chen, Wei Liao, et al.
Environmental Science Processes & Impacts (2025)
Closed Access
Impact of the National Clean Air Programme (NCAP) on the particulate matter pollution and associated reduction in human mortalities in Indian cities
Gopalakrishna Pillai Gopikrishnan, J. Kuttippurath
The Science of The Total Environment (2025) Vol. 968, pp. 178787-178787
Closed Access
Greenspace and respiratory diseases and symptoms in Chinese children: A large-scale study exploring joint associations with ozone.
Pei‐Pei Dong, Gongbo Chen, Wen Yue, et al.
Sustainable Cities and Society (2025), pp. 106329-106329
Closed Access
An interpretable physics-informed deep learning model for estimating multiple air pollutants
Binjie Chen, Jiacong Hu, Yumiao Wang, et al.
GIScience & Remote Sensing (2025) Vol. 62, Iss. 1
Open Access
Co-Occurring Extremes of PM2.5 and Ozone in Warm Seasons of the Yangtze River Delta of China: Insights from Explainable Machine Learning
Yan Lyu, Danni Wu, Fuliang Han, et al.
ACS ES&T Air (2025)
Closed Access
Improving the accuracy of O3 prediction from a chemical transport model with a random forest model in the Yangtze River Delta region, China
Kaili Xiong, Xiaodong Xie, Jianjong Mao, et al.
Environmental Pollution (2022) Vol. 319, pp. 120926-120926
Closed Access | Times Cited: 21
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
Joint Effects of Long-Term Exposure to Ambient Fine Particulate Matter and Ozone on Asthmatic Symptoms: Prospective Cohort Study
Jiahong Xu, Yan Shi, Gongbo Chen, et al.
JMIR Public Health and Surveillance (2023) Vol. 9, pp. e47403-e47403
Open Access | Times Cited: 12
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