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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:

National PM2.5 and NO2 exposure models for China based on land use regression, satellite measurements, and universal kriging
Hao Xu, Matthew J. Bechle, Meng Wang, et al.
The Science of The Total Environment (2018) Vol. 655, pp. 423-433
Open Access | Times Cited: 134

Showing 1-25 of 134 citing articles:

Influence of meteorological conditions on PM2.5 concentrations across China: A review of methodology and mechanism
Ziyue Chen, Danlu Chen, Chuanfeng Zhao, et al.
Environment International (2020) Vol. 139, pp. 105558-105558
Open Access | Times Cited: 533
Assessing NO2 Concentration and Model Uncertainty with High Spatiotemporal Resolution across the Contiguous United States Using Ensemble Model Averaging
Qian Di, Heresh Amini, Liuhua Shi, et al.
Environmental Science & Technology (2019) Vol. 54, Iss. 3, pp. 1372-1384
Open Access | Times Cited: 224
Mapping spatial distribution of particulate matter using Kriging and Inverse Distance Weighting at supersites of megacity Delhi
K.P. Shukla, Prashant Kumar, Gaurav S. Mann, et al.
Sustainable Cities and Society (2019) Vol. 54, pp. 101997-101997
Open Access | Times Cited: 188
Ground-Level NO2Surveillance from Space Across China for High Resolution Using Interpretable Spatiotemporally Weighted Artificial Intelligence
Jing Wei, Song Liu, Zhanqing Li, et al.
Environmental Science & Technology (2022) Vol. 56, Iss. 14, pp. 9988-9998
Open Access | Times Cited: 181
Provincial perspective analysis on the coordination between urbanization growth and resource environment carrying capacity (RECC) in China
Shiju Liao, Ya Wu, Siu Wai Wong, et al.
The Science of The Total Environment (2020) Vol. 730, pp. 138964-138964
Closed Access | Times Cited: 156
Ground-level gaseous pollutants (NO2, SO2, and CO) in China: daily seamless mapping and spatiotemporal variations
Jing Wei, Zhanqing Li, Jun Wang, et al.
Atmospheric chemistry and physics (2023) Vol. 23, Iss. 2, pp. 1511-1532
Open Access | Times Cited: 145
Concentrations of criteria pollutants in the contiguous U.S., 1979 – 2015: Role of prediction model parsimony in integrated empirical geographic regression
Sun‐Young Kim, Matthew J. Bechle, Steve Hankey, et al.
PLoS ONE (2020) Vol. 15, Iss. 2, pp. e0228535-e0228535
Open Access | Times Cited: 140
Using a land use regression model with machine learning to estimate ground level PM2.5
Pei-Yi Wong, Hsiao‐Yun Lee, Yu‐Cheng Chen, et al.
Environmental Pollution (2021) Vol. 277, pp. 116846-116846
Open Access | Times Cited: 111
A comprehensive review of the development of land use regression approaches for modeling spatiotemporal variations of ambient air pollution: A perspective from 2011 to 2023
Xuying Ma, Bin Zou, Jun Deng, et al.
Environment International (2024) Vol. 183, pp. 108430-108430
Open Access | Times Cited: 42
High-Resolution Spatiotemporal Modeling for Ambient PM2.5 Exposure Assessment in China from 2013 to 2019
Conghong Huang, Jianlin Hu, Tao Xue, et al.
Environmental Science & Technology (2021) Vol. 55, Iss. 3, pp. 2152-2162
Closed Access | Times Cited: 99
Satellite remote sensing of atmospheric particulate matter mass concentration: Advances, challenges, and perspectives
Ying Zhang, Zhengqiang Li, Kaixu Bai, et al.
Fundamental Research (2021) Vol. 1, Iss. 3, pp. 240-258
Open Access | Times Cited: 86
Association of Estimated Long-term Exposure to Air Pollution and Traffic Proximity With a Marker for Coronary Atherosclerosis in a Nationwide Study in China
Meng Wang, Zhihui Hou, Hao Xu, et al.
JAMA Network Open (2019) Vol. 2, Iss. 6, pp. e196553-e196553
Open Access | Times Cited: 76
Spatiotemporal mapping and assessment of daily ground NO2 concentrations in China using high-resolution TROPOMI retrievals
Sensen Wu, Bo Huang, Jionghua Wang, et al.
Environmental Pollution (2021) Vol. 273, pp. 116456-116456
Closed Access | Times Cited: 74
Importance of satellite observations for high-resolution mapping of near-surface NO2 by machine learning
Minsu Kim, Dominik Brunner, Gerrit Kuhlmann
Remote Sensing of Environment (2021) Vol. 264, pp. 112573-112573
Open Access | Times Cited: 72
Mobile monitoring of urban air quality at high spatial resolution by low-cost sensors: impacts of COVID-19 pandemic lockdown
Shibao Wang, Yun Ma, Zhongrui Wang, et al.
Atmospheric chemistry and physics (2021) Vol. 21, Iss. 9, pp. 7199-7215
Open Access | Times Cited: 70
Ambient Air Pollution and Socioeconomic Status in China
Yuzhou Wang, Yafeng Wang, Hao Xu, et al.
Environmental Health Perspectives (2022) Vol. 130, Iss. 6
Open Access | Times Cited: 49
Mortality burden due to ambient nitrogen dioxide pollution in China: Application of high-resolution models
Xinyue Li, Peng Wang, Weidong Wang, et al.
Environment International (2023) Vol. 176, pp. 107967-107967
Open Access | Times Cited: 30
High-resolution modeling for criteria air pollutants and the associated air quality index in a metropolitan city
Yiyi Wang, Lei Huang, Conghong Huang, et al.
Environment International (2023) Vol. 172, pp. 107752-107752
Open Access | Times Cited: 29
Application of land use regression model to assess outdoor air pollution exposure: A review
Wan Nurul Farah Wan Azmi, Thulasyammal Ramiah Pillai, Mohd Talib Latif, et al.
Environmental Advances (2023) Vol. 11, pp. 100353-100353
Open Access | Times Cited: 26
Contributions of traffic and shipping emissions to city-scale NOx and PM2.5 exposure in Hamburg
Martin Otto Paul Ramacher, Volker Matthias, Armin Aulinger, et al.
Atmospheric Environment (2020) Vol. 237, pp. 117674-117674
Closed Access | Times Cited: 64
Spatiotemporal estimation of satellite-borne and ground-level NO2 using full residual deep networks
Lianfa Li, Jiajie Wu
Remote Sensing of Environment (2020) Vol. 254, pp. 112257-112257
Closed Access | Times Cited: 64
A site-optimised multi-scale GIS based land use regression model for simulating local scale patterns in air pollution
Xuying Ma, Ian Longley, Jay Gao, et al.
The Science of The Total Environment (2019) Vol. 685, pp. 134-149
Closed Access | Times Cited: 57
Urban population exposure to NO<sub><i>x</i></sub> emissions from local shipping in three Baltic Sea harbour cities – a generic approach
Martin Otto Paul Ramacher, Matthias Karl, Johannes Bieser, et al.
Atmospheric chemistry and physics (2019) Vol. 19, Iss. 14, pp. 9153-9179
Open Access | Times Cited: 56
Estimating 2013–2019 NO2 exposure with high spatiotemporal resolution in China using an ensemble model
Conghong Huang, Kang Sun, Jianlin Hu, et al.
Environmental Pollution (2021) Vol. 292, pp. 118285-118285
Open Access | Times Cited: 45
Using land-use machine learning models to estimate daily NO2 concentration variations in Taiwan
Pei-Yi Wong, Huey‐Jen Su, Hsiao‐Yun Lee, et al.
Journal of Cleaner Production (2021) Vol. 317, pp. 128411-128411
Open Access | Times Cited: 40
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