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:

Intercomparison in spatial distributions and temporal trends derived from multi-source satellite aerosol products
Jing Wei, Yiran Peng, Rashed Mahmood, et al.
Atmospheric chemistry and physics (2019) Vol. 19, Iss. 10, pp. 7183-7207
Open Access | Times Cited: 113

Showing 1-25 of 113 citing articles:

Reconstructing 1-km-resolution high-quality PM2.5 data records from 2000 to 2018 in China: spatiotemporal variations and policy implications
Jing Wei, Zhanqing Li, Alexei Lyapustin, et al.
Remote Sensing of Environment (2020) Vol. 252, pp. 112136-112136
Closed Access | Times Cited: 819

Improved 1 km resolution PM2.5 estimates across China using enhanced space–time extremely randomized trees
Jing Wei, Zhanqing Li, Maureen Cribb, et al.
Atmospheric chemistry and physics (2020) Vol. 20, Iss. 6, pp. 3273-3289
Open Access | Times Cited: 473

Changing State of the Climate System
Intergovernmental Panel on Climate Change
Cambridge University Press eBooks (2023), pp. 287-422
Open Access | Times Cited: 466

Full-coverage mapping and spatiotemporal variations of ground-level ozone (O3) pollution from 2013 to 2020 across China
Jing Wei, Zhanqing Li, Ke Li, et al.
Remote Sensing of Environment (2021) Vol. 270, pp. 112775-112775
Open Access | Times Cited: 375

The ChinaHighPM10 dataset: generation, validation, and spatiotemporal variations from 2015 to 2019 across China
Jing Wei, Zhanqing Li, Wenhao Xue, et al.
Environment International (2020) Vol. 146, pp. 106290-106290
Open Access | Times Cited: 289

Satellite-Derived 1-km-Resolution PM1 Concentrations from 2014 to 2018 across China
Jing Wei, Zhanqing Li, Jianping Guo, et al.
Environmental Science & Technology (2019) Vol. 53, Iss. 22, pp. 13265-13274
Closed Access | Times Cited: 251

Merging regional and global aerosol optical depth records from major available satellite products
Larisa Sogacheva, Thomas Popp, A. M. Sayer, et al.
Atmospheric chemistry and physics (2020) Vol. 20, Iss. 4, pp. 2031-2056
Open Access | Times Cited: 179

Validation of GRASP algorithm product from POLDER/PARASOL data and assessment of multi-angular polarimetry potential for aerosol monitoring
Cheng Chen, Оleg Dubovik, David Fuertes, et al.
Earth system science data (2020) Vol. 12, Iss. 4, pp. 3573-3620
Open Access | Times Cited: 179

Air pollution trends measured from Terra: CO and AOD over industrial, fire-prone, and background regions
Rebecca R. Buchholz, H. M. Worden, Mijeong Park, et al.
Remote Sensing of Environment (2021) Vol. 256, pp. 112275-112275
Open Access | Times Cited: 154

ModIs Dust AeroSol (MIDAS): a global fine-resolution dust optical depth data set
Antonis Gkikas, Emmanouil Proestakis, Vassilis Amiridis, et al.
Atmospheric measurement techniques (2021) Vol. 14, Iss. 1, pp. 309-334
Open Access | Times Cited: 108

Robust evidence for reversal of the trend in aerosol effective climate forcing
Johannes Quaas, Hailing Jia, Chris Smith, et al.
Atmospheric chemistry and physics (2022) Vol. 22, Iss. 18, pp. 12221-12239
Open Access | Times Cited: 80

Satellite remote sensing of aerosol optical depth: advances, challenges, and perspectives
Xiaoli Wei, Ni‐Bin Chang, Kaixu Bai, et al.
Critical Reviews in Environmental Science and Technology (2019) Vol. 50, Iss. 16, pp. 1640-1725
Closed Access | Times Cited: 142

Multidecadal trend analysis of in situ aerosol radiative properties around the world
Martine Collaud Coen, Elisabeth Andrews, Andrés Alástuey, et al.
Atmospheric chemistry and physics (2020) Vol. 20, Iss. 14, pp. 8867-8908
Open Access | Times Cited: 105

Continuing the MODIS Dark Target Aerosol Time Series with VIIRS
Virginia Sawyer, R. C. Levy, S. Mattoo, et al.
Remote Sensing (2020) Vol. 12, Iss. 2, pp. 308-308
Open Access | Times Cited: 101

Evaluation and uncertainty estimate of next-generation geostationary meteorological Himawari-8/AHI aerosol products
Jing Wei, Zhanqing Li, Lin Sun, et al.
The Science of The Total Environment (2019) Vol. 692, pp. 879-891
Open Access | Times Cited: 76

Accuracy assessment of CAMS and MERRA-2 reanalysis PM2.5 and PM10 concentrations over China
Md. Arfan Ali, Muhammad Bilal, Yu Wang, et al.
Atmospheric Environment (2022) Vol. 288, pp. 119297-119297
Open Access | Times Cited: 52

Long-term trends in Aerosol Optical Depth obtained across the globe using multi-satellite measurements
Gopika Gupta, M. Venkat Ratnam, B.L. Madhavan, et al.
Atmospheric Environment (2022) Vol. 273, pp. 118953-118953
Open Access | Times Cited: 47

New seasonal pattern of pollution emerges from changing North American wildfires
Rebecca R. Buchholz, Mijeong Park, H. M. Worden, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 43

Spatiotemporal PM2.5 variations and its response to the industrial structure from 2000 to 2018 in the Beijing-Tianjin-Hebei region
Wenhao Xue, Jing Zhang, Chao Zhong, et al.
Journal of Cleaner Production (2020) Vol. 279, pp. 123742-123742
Closed Access | Times Cited: 69

Influence of Saharan Dust on the Large‐Scale Meteorological Environment for Development of Tropical Cyclone Over North Atlantic Ocean Basin
Yue Sun, Chuanfeng Zhao
Journal of Geophysical Research Atmospheres (2020) Vol. 125, Iss. 23
Closed Access | Times Cited: 69

Satellite-derived spatiotemporal PM2.5 concentrations and variations from 2006 to 2017 in China
Wenhao Xue, Jing Zhang, Chao Zhong, et al.
The Science of The Total Environment (2019) Vol. 712, pp. 134577-134577
Closed Access | Times Cited: 63

An AeroCom–AeroSat study: intercomparison of satellite AOD datasets for aerosol model evaluation
Nick Schutgens, A. M. Sayer, A. Heckel, et al.
Atmospheric chemistry and physics (2020) Vol. 20, Iss. 21, pp. 12431-12457
Open Access | Times Cited: 61

Long-term aerosol optical depth trend over Iran and identification of dominant aerosol types
Robabeh Yousefi, Fang Wang, Quansheng Ge, et al.
The Science of The Total Environment (2020) Vol. 722, pp. 137906-137906
Closed Access | Times Cited: 58

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