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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:

A Validation Approach Considering the Uneven Distribution of Ground Stations for Satellite-Based PM2.5 Estimation
Tongwen Li, Huanfeng Shen, Chao Zeng, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2020) Vol. 13, pp. 1312-1321
Open Access | Times Cited: 47

Showing 1-25 of 47 citing articles:

Toward Integrated Large-Scale Environmental Monitoring Using WSN/UAV/Crowdsensing: A Review of Applications, Signal Processing, and Future Perspectives
Alessio Fascista
Sensors (2022) Vol. 22, Iss. 5, pp. 1824-1824
Open Access | Times Cited: 99
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: 31
Geographically and temporally weighted neural networks for satellite-based mapping of ground-level PM2.5
Tongwen Li, Huanfeng Shen, Qiangqiang Yuan, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2020) Vol. 167, pp. 178-188
Open Access | Times Cited: 87
Improving satellite-based estimation of surface ozone across China during 2008–2019 using iterative random forest model and high-resolution grid meteorological data
Gongbo Chen, Jiang Chen, Guang‐Hui Dong, et al.
Sustainable Cities and Society (2021) Vol. 69, pp. 102807-102807
Closed Access | Times Cited: 73
Estimating daily full-coverage surface ozone concentration using satellite observations and a spatiotemporally embedded deep learning approach
Tongwen Li, Xiao Cheng
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 101, pp. 102356-102356
Open Access | Times Cited: 62
Estimating hourly surface PM2.5 concentrations across China from high-density meteorological observations by machine learning
Zhaoliang Zeng, Ke Gui, Zemin Wang, et al.
Atmospheric Research (2021) Vol. 254, pp. 105516-105516
Closed Access | Times Cited: 56
Global validation and hybrid calibration of CAMS and MERRA-2 PM2.5 reanalysis products based on OpenAQ platform
Caiyi Jin, Yuan Wang, Tongwen Li, et al.
Atmospheric Environment (2022) Vol. 274, pp. 118972-118972
Open Access | Times Cited: 40
Spatial+: A new cross-validation method to evaluate geospatial machine learning models
Yanwen Wang, Mahdi Khodadadzadeh, R. Zurita‐Milla
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 121, pp. 103364-103364
Open Access | Times Cited: 24
Predicting annual PM2.5 in mainland China from 2014 to 2020 using multi temporal satellite product: An improved deep learning approach with spatial generalization ability
Zhige Wang, Bifeng Hu, Bo Huang, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2022) Vol. 187, pp. 141-158
Closed Access | Times Cited: 34
The estimation of hourly PM2.5 concentrations across China based on a Spatial and Temporal Weighted Continuous Deep Neural Network (STWC-DNN)
Zhen Wang, Ruiyuan Li, Ziyue Chen, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2022) Vol. 190, pp. 38-55
Closed Access | Times Cited: 33
Generating daily high-resolution and full-coverage XCO2 across China from 2015 to 2020 based on OCO-2 and CAMS data
Tongwen Li, Jingan Wu, Tianxing Wang
The Science of The Total Environment (2023) Vol. 893, pp. 164921-164921
Closed Access | Times Cited: 19
A mechanism-guided machine learning method for mapping gapless land surface temperature
Jun Ma, Huanfeng Shen, Menghui Jiang, et al.
Remote Sensing of Environment (2024) Vol. 303, pp. 114001-114001
Closed Access | Times Cited: 7
Improving the quantification of fine particulates (PM2.5) concentrations in Malaysia using simplified and computationally efficient models
Nurul Amalin Fatihah Kamarul Zaman, Kasturi Devi Kanniah, Dimitris G. Kaskaoutis, et al.
Journal of Cleaner Production (2024) Vol. 448, pp. 141559-141559
Closed Access | Times Cited: 6
Remote Sensing Estimation of Regional NO2 via Space-Time Neural Networks
Tongwen Li, Yuan Wang, Qiangqiang Yuan
Remote Sensing (2020) Vol. 12, Iss. 16, pp. 2514-2514
Open Access | Times Cited: 43
Evaluation of Machine Learning Models for Estimating PM2.5 Concentrations across Malaysia
Nurul Amalin Fatihah Kamarul Zaman, Kasturi Devi Kanniah, Dimitris G. Kaskaoutis, et al.
Applied Sciences (2021) Vol. 11, Iss. 16, pp. 7326-7326
Open Access | Times Cited: 36
Ultrahigh-resolution PM2.5 estimation from top-of-atmosphere reflectance with machine learning: Theories, methods, and applications
Qianqian Yang, Qiangqiang Yuan, Tongwen Li
Environmental Pollution (2022) Vol. 306, pp. 119347-119347
Closed Access | Times Cited: 25
Joint estimation of PM2.5 and O3 over China using a knowledge-informed neural network
Tongwen Li, Qianqian Yang, Yuan Wang, et al.
Geoscience Frontiers (2022) Vol. 14, Iss. 2, pp. 101499-101499
Open Access | Times Cited: 23
Retrieval of hourly PM2.5 using top-of-atmosphere reflectance from geostationary ocean color imagers I and II
Hyunyoung Choi, Seonyoung Park, Yoojin Kang, et al.
Environmental Pollution (2023) Vol. 323, pp. 121169-121169
Closed Access | Times Cited: 13
A synchronized estimation of hourly surface concentrations of six criteria air pollutants with GEMS data
Qianqian Yang, Jhoon Kim, Yeseul Cho, et al.
npj Climate and Atmospheric Science (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 13
Ozone, nitrogen dioxide, and PM2.5 estimation from observation-model machine learning fusion over S. Korea: Influence of observation density, chemical transport model resolution, and geostationary remotely sensed AOD
Beiming Tang, Charles O. Stanier, Gregory R. Carmichael, et al.
Atmospheric Environment (2024) Vol. 331, pp. 120603-120603
Open Access | Times Cited: 5
Harmonizing low-cost and regulatory air quality monitoring networks with interpretable semi-supervised learning: Reducing exposure misclassification in underrepresented communities
Dié Tang, Tan Mi, Xi Zheng, et al.
Journal of Hazardous Materials (2025) Vol. 491, pp. 137893-137893
Closed Access
Urban form regulation for synergetic PM2.5 and O3 control: A multi-indicator constrained DNN simulation
Sha Li, Bin Zou, Ning Liu, et al.
The Science of The Total Environment (2025) Vol. 973, pp. 179136-179136
Closed Access
Improved seamless mapping of surface O3 concentrations using an integrated deep learning framework
Tongwen Li, Jingan Wu, Yuan Wang, et al.
npj Climate and Atmospheric Science (2025) Vol. 8, Iss. 1
Open Access
Proactive synergistic control of PM 2.5 and ozone through urban planning: longitudinal data analysis of 274 Chinese cities from 2005 to 2020
Sha Li, Bin Zou, Ning Liu, et al.
Geo-spatial Information Science (2025), pp. 1-19
Open Access
Full Coverage Estimation of the PM Concentration Across China Based on an Adaptive Spatiotemporal Approach
Cunxing Lei, Xin Xu, Yingying Ma, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-14
Closed Access | Times Cited: 19
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