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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:

Constructing a spatiotemporally coherent long-term PM2.5 concentration dataset over China during 1980–2019 using a machine learning approach
Huimin Li, Yang Yang, Hailong Wang, et al.
The Science of The Total Environment (2020) Vol. 765, pp. 144263-144263
Open Access | Times Cited: 69

Showing 1-25 of 69 citing articles:

Integrating low-cost sensor monitoring, satellite mapping, and geospatial artificial intelligence for intra-urban air pollution predictions
Lü Liang, Jacob Daniels, Colleen P. Bailey, et al.
Environmental Pollution (2023) Vol. 331, pp. 121832-121832
Open Access | Times Cited: 47
A review of machine learning for modeling air quality: Overlooked but important issues
Dié Tang, Yu Zhan, Fumo Yang
Atmospheric Research (2024) Vol. 300, pp. 107261-107261
Closed Access | Times Cited: 37
Projected Aerosol Changes Driven by Emissions and Climate Change Using a Machine Learning Method
Huimin Li, Yang Yang, Hailong Wang, et al.
Environmental Science & Technology (2022) Vol. 56, Iss. 7, pp. 3884-3893
Closed Access | Times Cited: 51
Predominant Type of Dust Storms That Influences Air Quality Over Northern China and Future Projections
Jiandong Li, Xin Hao, Hong Liao, et al.
Earth s Future (2022) Vol. 10, Iss. 6
Open Access | Times Cited: 43
Machine learning in the identification, prediction and exploration of environmental toxicology: Challenges and perspectives
Xiaotong Wu, Qixing Zhou, Mu Li, et al.
Journal of Hazardous Materials (2022) Vol. 438, pp. 129487-129487
Closed Access | Times Cited: 43
Deciphering urban traffic impacts on air quality by deep learning and emission inventory
Wenjie Du, Lianliang Chen, Haoran Wang, et al.
Journal of Environmental Sciences (2022) Vol. 124, pp. 745-757
Closed Access | Times Cited: 40
Climate-driven deterioration of future ozone pollution in Asia predicted by machine learning with multi-source data
Huimin Li, Yang Yang, Jianbing Jin, et al.
Atmospheric chemistry and physics (2023) Vol. 23, Iss. 2, pp. 1131-1145
Open Access | Times Cited: 27
Obtaining vertical distribution of PM2.5 from CALIOP data and machine learning algorithms
Бин Чэн, Zhihao Song, Feng Pan, et al.
The Science of The Total Environment (2021) Vol. 805, pp. 150338-150338
Open Access | Times Cited: 51
Fast climate responses to emission reductions in aerosol and ozone precursors in China during 2013–2017
Jiyuan Gao, Yang Yang, Hailong Wang, et al.
Atmospheric chemistry and physics (2022) Vol. 22, Iss. 11, pp. 7131-7142
Open Access | Times Cited: 30
Haze weather and mortality in China from 2014 to 2020: Definitions, vulnerability, and effect modification by haze characteristics
Yang Zhou, Jiangmei Liu, Jun Yang, et al.
Journal of Hazardous Materials (2024) Vol. 466, pp. 133561-133561
Closed Access | Times Cited: 7
A data-augmentation approach to deriving long-term surface SO2 across Northern China: Implications for interpretable machine learning
Shifu Zhang, Tan Mi, Qinhuizi Wu, et al.
The Science of The Total Environment (2022) Vol. 827, pp. 154278-154278
Closed Access | Times Cited: 27
Effect of rainfall-induced diabatic heating over southern China on the formation of wintertime haze on the North China Plain
Xiadong An, Lifang Sheng, Chun Li, et al.
Atmospheric chemistry and physics (2022) Vol. 22, Iss. 2, pp. 725-738
Open Access | Times Cited: 26
Lidar-based daytime boundary layer height variation and impact on the regional satellite-based PM2.5 estimate
Sijie Chen, Bowen Tong, Lynn M. Russell, et al.
Remote Sensing of Environment (2022) Vol. 281, pp. 113224-113224
Open Access | Times Cited: 21
Contrasting changes in ozone during 2019–2021 between eastern and the other regions of China attributed to anthropogenic emissions and meteorological conditions
Yiqian Ni, Yang Yang, Hailong Wang, et al.
The Science of The Total Environment (2023) Vol. 908, pp. 168272-168272
Closed Access | Times Cited: 13
Regional aerosol forecasts based on deep learning and numerical weather prediction
Yulu Qiu, Jin Feng, Ziyin Zhang, et al.
npj Climate and Atmospheric Science (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 12
Climate responses in China to domestic and foreign aerosol changes due to clean air actions during 2013–2019
Gao Jiyuan, Yang Yang, Hailong Wang, et al.
npj Climate and Atmospheric Science (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 12
A study on identifying synergistic prevention and control regions for PM2.5 and O3 and exploring their spatiotemporal dynamic in China
Haojie Wu, Bin Guo, Tengyue Guo, et al.
Environmental Pollution (2023) Vol. 341, pp. 122880-122880
Closed Access | Times Cited: 12
Reconstructing long-term (1980–2022) daily ground particulate matter concentrations in India (LongPMInd)
Shuai Wang, Mengyuan Zhang, Hui Zhao, et al.
Earth system science data (2024) Vol. 16, Iss. 8, pp. 3565-3577
Open Access | Times Cited: 4
Possible Dynamic Mechanisms of High‐ and Low‐Latitude Wave Trains Over Eurasia and Their Impacts on Air Pollution Over the North China Plain in Early Winter
Xiadong An, Wen Chen, Shuo Fu, et al.
Journal of Geophysical Research Atmospheres (2022) Vol. 127, Iss. 13
Closed Access | Times Cited: 17
Changes in the Climate Effects of Major Anthropogenic Aerosols in East Asia Under Different Emission Reduction Scenarios in China
Yiman Gao, Peng Gao, Bingliang Zhuang, et al.
Journal of Geophysical Research Atmospheres (2025) Vol. 130, Iss. 2
Closed Access
A Visibility-Based Historical PM2.5 Estimation for Four Decades (1981–2022) Using Machine Learning in Thailand: Trends, Meteorological Normalization, and Influencing Factors Using SHAP Analysis
Nishit Aman, Sirima Panyametheekul, Ittipol Pawarmart, et al.
Aerosol and Air Quality Research (2025) Vol. 25, Iss. 1-4
Open Access
The 21st Century Climate Response to China's Clean Air Action
Jianmin Ma, Xiaodong Zhang, Xiaohu Jian, et al.
Research Square (Research Square) (2025)
Closed Access
Measurement report: Source apportionment of carbonaceous aerosol using dual-carbon isotopes (<sup>13</sup>C and <sup>14</sup>C) and levoglucosan in three northern Chinese cities during 2018–2019
Huiyizhe Zhao, Zhenchuan Niu, Weijian Zhou, et al.
Atmospheric chemistry and physics (2022) Vol. 22, Iss. 9, pp. 6255-6274
Open Access | Times Cited: 16
Spatiotemporal estimates of daily PM2.5 concentrations based on 1-km resolution MAIAC AOD in the Beijing–Tianjin–Hebei, China
Xiaohui Yang, Dengpan Xiao, Lihang Fan, et al.
Environmental Challenges (2022) Vol. 8, pp. 100548-100548
Open Access | Times Cited: 15
Population Aging Driven Slowdown in the Reduction of Economic Cost-Attributed to PM2.5 Pollution after 2013 in China
Lulu Lian, Siyu Chen, Jianmin Ma, et al.
Environmental Science & Technology (2022) Vol. 57, Iss. 3, pp. 1237-1245
Closed Access | Times Cited: 15
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