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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:

The relationships between PM2.5 and aerosol optical depth (AOD) in mainland China: About and behind the spatio-temporal variations
Qianqian Yang, Qiangqiang Yuan, Linwei Yue, et al.
Environmental Pollution (2019) Vol. 248, pp. 526-535
Open Access | Times Cited: 168

Showing 26-50 of 168 citing articles:

Impact of urbanization on air quality in the Yangtze River Delta during the COVID-19 lockdown in China
Lijuan Shen, Honglei Wang, Bin Zhu, et al.
Journal of Cleaner Production (2021) Vol. 296, pp. 126561-126561
Closed Access | Times Cited: 36
Combining Himawari-8 AOD and deep forest model to obtain city-level distribution of PM2.5 in China
Zhihao Song, Bin Chen, Jianping Huang
Environmental Pollution (2022) Vol. 297, pp. 118826-118826
Closed Access | Times Cited: 26
Spatio-temporal modelling of particulate matter concentrations using satellite derived aerosol optical depth over coastal region of Chennai in India
Leenu Raju, R. Gandhimathi, Aneesh Mathew, et al.
Ecological Informatics (2022) Vol. 69, pp. 101681-101681
Closed Access | Times Cited: 23
Estimating high-spatial-resolution daily PM2.5 mass concentration from satellite top-of-atmosphere reflectance based on an improved random forest model
Yuming Tang, Ruru Deng, Yeheng Liang, et al.
Atmospheric Environment (2023) Vol. 302, pp. 119724-119724
Closed Access | Times Cited: 14
Trend Analysis of Aerosol Concentrations over Last Two Decades from MODIS Retrievals over Hyderabad District of India
A K Nandan, Aneesh Mathew, Padala Raja Shekar
Geomatics and Environmental Engineering (2024) Vol. 18, Iss. 1, pp. 83-116
Open Access | Times Cited: 5
Exploring the altitude differentiation and influencing factors of PM2.5 and O3: a case study of the Fenwei Plain, China
Zhenglin Yin, Lei Yuan, Yulian Yang, et al.
Frontiers in Environmental Science (2025) Vol. 12
Open Access
Characterization of Atmospheric Organic Carbon and Element Carbon of PM2.5 during the Long Dry Period in Cotonou, Benin
Julien Djossou, Kalil Pierre Mathos, Simon Pierre Lamah, et al.
Open Journal of Air Pollution (2025) Vol. 14, Iss. 01, pp. 14-28
Open Access
Mapping PM2.5 concentration at high resolution using a cascade random forest based downscaling model: Evaluation and application
Qianqian Yang, Qiangqiang Yuan, Tongwen Li, et al.
Journal of Cleaner Production (2020) Vol. 277, pp. 123887-123887
Closed Access | Times Cited: 38
Mapping PM2.5 concentration at a sub-km level resolution: A dual-scale retrieval approach
Qianqian Yang, Qiangqiang Yuan, Linwei Yue, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2020) Vol. 165, pp. 140-151
Closed Access | Times Cited: 35
Retrieval of Fine-Grained PM2.5 Spatiotemporal Resolution Based on Multiple Machine Learning Models
Peilong Ma, Fei Tao, Gao Li-na, et al.
Remote Sensing (2022) Vol. 14, Iss. 3, pp. 599-599
Open Access | Times Cited: 20
Estimation of particulate matter concentrations in Türkiye using a random forest model based on satellite AOD retrievals
Gizem Tuna Tuygun, Tolga Elbir
Stochastic Environmental Research and Risk Assessment (2023) Vol. 37, Iss. 9, pp. 3469-3491
Closed Access | Times Cited: 11
Enhancing Seasonal PM2.5 Estimations in China through Terrain–Wind–Rained Index (TWRI): A Geographically Weighted Regression Approach
Boqi Peng, Busheng Xie, Wei Wang, et al.
Remote Sensing (2024) Vol. 16, Iss. 12, pp. 2145-2145
Open Access | Times Cited: 4
Estimating hourly PM2.5 concentrations using MODIS 3 km AOD and an improved spatiotemporal model over Beijing-Tianjin-Hebei, China
Xinpeng Wang, Wenbin Sun, Kangning Zheng, et al.
Atmospheric Environment (2019) Vol. 222, pp. 117089-117089
Closed Access | Times Cited: 31
Importance of Bias Correction in Data Assimilation of Multiple Observations Over Eastern China Using WRF‐Chem/DART
Chaoqun Ma, Tijian Wang, Ziqiang Jiang, et al.
Journal of Geophysical Research Atmospheres (2019) Vol. 125, Iss. 1
Closed Access | Times Cited: 31
Filling the gaps of in situ hourly PM<sub>2.5</sub> concentration data with the aid of empirical orthogonal function analysis constrained by diurnal cycles
Kaixu Bai, Ke Li, Jianping Guo, et al.
Atmospheric measurement techniques (2020) Vol. 13, Iss. 3, pp. 1213-1226
Open Access | Times Cited: 30
A homogenized daily in situ PM<sub>2.5</sub> concentration dataset from the national air quality monitoring network in China
Kaixu Bai, Ke Li, Chengbo Wu, et al.
Earth system science data (2020) Vol. 12, Iss. 4, pp. 3067-3080
Open Access | Times Cited: 28
Space-Time Machine Learning Models to Analyze COVID-19 Pandemic Lockdown Effects on Aerosol Optical Depth over Europe
Saleem Ibrahim, Martin Landa, Ondřej Pešek, et al.
Remote Sensing (2021) Vol. 13, Iss. 15, pp. 3027-3027
Open Access | Times Cited: 24
Data level and decision level fusion of satellite multi-sensor AOD retrievals for improving PM2.5 estimations, a study on Tehran
Ali Mirzaei, Hossein Bagheri, Mehran Sattari
Earth Science Informatics (2023) Vol. 16, Iss. 1, pp. 753-771
Closed Access | Times Cited: 10
Association of high ambient temperature with daily hospitalization for cardiorespiratory diseases in Brazil: A national time-series study between 2008 and 2018
Weeberb J. Réquia, Ana M. Vicedo‐Cabrera, Evan de Schrijver, et al.
Environmental Pollution (2023) Vol. 331, pp. 121851-121851
Open Access | Times Cited: 9
A generalized land surface reflectance reconstruction method for aerosol retrieval: Application to the Particulate Observing Scanning Polarimeter (POSP) onboard GaoFen-5 (02) satellite
Zheng Shi, Yisong Xie, Zhengqiang Li, et al.
Remote Sensing of Environment (2023) Vol. 295, pp. 113683-113683
Open Access | Times Cited: 9
Validation and Calibration of CAMS PM2.5 Forecasts Using In Situ PM2.5 Measurements in China and United States
Chengbo Wu, Ke Li, Kaixu Bai
Remote Sensing (2020) Vol. 12, Iss. 22, pp. 3813-3813
Open Access | Times Cited: 25
The spatiotemporal relationship between PM<sub>2.5</sub> and aerosol optical depth in China: influencing factors and implications for satellite PM<sub>2.5</sub> estimations using MAIAC aerosol optical depth
Qingqing He, Mengya Wang, Steve Hung Lam Yim
Atmospheric chemistry and physics (2021) Vol. 21, Iss. 24, pp. 18375-18391
Open Access | Times Cited: 21
The Canadian Optimized Statistical Smoke Exposure Model (CanOSSEM): A machine learning approach to estimate national daily fine particulate matter (PM2.5) exposure
Naman Paul, Jiayun Yao, Kathleen McLean, et al.
The Science of The Total Environment (2022) Vol. 850, pp. 157956-157956
Open Access | Times Cited: 14
Investigating multiple aerosol optical depth products from MODIS and VIIRS over Asia: Evaluation, comparison, and merging
Yuan Wang, Qiangqiang Yuan, Huanfeng Shen, et al.
Atmospheric Environment (2020) Vol. 230, pp. 117548-117548
Open Access | Times Cited: 22
Estimation of historical daily PM2.5 concentrations for three Chinese megacities: Insight into the socioeconomic factors affecting PM2.5
Hongmei Xu, Yunlong Bai, Zezhi Peng, et al.
Atmospheric Pollution Research (2024) Vol. 15, Iss. 6, pp. 102130-102130
Closed Access | Times Cited: 2

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