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:
Estimating particulate matter concentrations and meteorological contributions in China during 2000–2020
Shuai Wang, Peng Wang, Ruhan Zhang, et al.
Chemosphere (2023) Vol. 330, pp. 138742-138742
Closed Access | Times Cited: 21
Shuai Wang, Peng Wang, Ruhan Zhang, et al.
Chemosphere (2023) Vol. 330, pp. 138742-138742
Closed Access | Times Cited: 21
Showing 21 citing articles:
Towards compliance with the 2021 WHO air quality guidelines: A comparative analysis of PM2.5 trends in australia and china
Xuying Ma, Lidia Morawska, Bin Zou, et al.
Environment International (2025), pp. 109378-109378
Open Access
Xuying Ma, Lidia Morawska, Bin Zou, et al.
Environment International (2025), pp. 109378-109378
Open Access
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: 3
Shuai Wang, Mengyuan Zhang, Hui Zhao, et al.
Earth system science data (2024) Vol. 16, Iss. 8, pp. 3565-3577
Open Access | Times Cited: 3
Reconstructing long-term (1980–2022) daily ground particulate matter datasets in India (LongPMInd)
Shuai Wang, Mengyuan Zhang, Hui Zhao, et al.
(2024)
Open Access | Times Cited: 2
Shuai Wang, Mengyuan Zhang, Hui Zhao, et al.
(2024)
Open Access | Times Cited: 2
Diagnosing drivers of PM2.5 simulation biases in China from meteorology, chemical composition, and emission sources using an efficient machine learning method
Shuai Wang, Mengyuan Zhang, Yueqi Gao, et al.
Geoscientific model development (2024) Vol. 17, Iss. 9, pp. 3617-3629
Open Access | Times Cited: 2
Shuai Wang, Mengyuan Zhang, Yueqi Gao, et al.
Geoscientific model development (2024) Vol. 17, Iss. 9, pp. 3617-3629
Open Access | Times Cited: 2
Extracting regional and temporal features to improve machine learning for hourly air pollutants in urban India
Shuai Wang, Mengyuan Zhang, Hui Zhao, et al.
Atmospheric Environment (2024) Vol. 338, pp. 120834-120834
Closed Access | Times Cited: 2
Shuai Wang, Mengyuan Zhang, Hui Zhao, et al.
Atmospheric Environment (2024) Vol. 338, pp. 120834-120834
Closed Access | Times Cited: 2
Diagnosing drivers of PM2.5 simulation biases from meteorology, chemical composition, and emission sources using an efficient machine learning method
Shuai Wang, Mengyuan Zhang, Yueqi Gao, et al.
(2023)
Open Access | Times Cited: 6
Shuai Wang, Mengyuan Zhang, Yueqi Gao, et al.
(2023)
Open Access | Times Cited: 6
Impacts of the Chengdu 2021 world university games on NO2 pollution: Implications for urban vehicle electrification promotion
Xi Zheng, Haiyan Meng, Qinwen Tan, et al.
The Science of The Total Environment (2024) Vol. 949, pp. 175073-175073
Closed Access
Xi Zheng, Haiyan Meng, Qinwen Tan, et al.
The Science of The Total Environment (2024) Vol. 949, pp. 175073-175073
Closed Access
The association between Ambient Temperature and Influenza Activity across 124 countries globally during 2014–2019
Xiaoxiao Cao, Zhenghan Luo, Wenhao Zhu, et al.
Research Square (Research Square) (2024)
Open Access
Xiaoxiao Cao, Zhenghan Luo, Wenhao Zhu, et al.
Research Square (Research Square) (2024)
Open Access
Discrepant Global Surface Ozone Responses to Emission- and Heatwave-Induced Regime Shifts
Chenliang Tao, Yuqiang Zhang, Xin Zhang, et al.
Environmental Science & Technology (2024)
Closed Access
Chenliang Tao, Yuqiang Zhang, Xin Zhang, et al.
Environmental Science & Technology (2024)
Closed Access
The impact of the urban landscape on PM2.5 from LCZ perspective: A case study of Shenyang
Ye Lin, Xin An, Jingcheng Yuan, et al.
Urban Climate (2024) Vol. 57, pp. 102107-102107
Closed Access
Ye Lin, Xin An, Jingcheng Yuan, et al.
Urban Climate (2024) Vol. 57, pp. 102107-102107
Closed Access
A Combined Approach for Predicting the Distribution of Harmful Substances in the Atmosphere Based on Parameter Estimation and Machine Learning Algorithms
M.N. Madiyarov, Nurlan Temirbekov, Nurlana Alimbekova, et al.
Computation (2023) Vol. 11, Iss. 12, pp. 249-249
Open Access | Times Cited: 1
M.N. Madiyarov, Nurlan Temirbekov, Nurlana Alimbekova, et al.
Computation (2023) Vol. 11, Iss. 12, pp. 249-249
Open Access | Times Cited: 1
