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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:

Full-coverage spatiotemporal mapping of ambient PM2.5 and PM10 over China from Sentinel-5P and assimilated datasets: Considering the precursors and chemical compositions
Yuan Wang, Qiangqiang Yuan, Tongwen Li, et al.
The Science of The Total Environment (2021) Vol. 793, pp. 148535-148535
Open Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

LGHAP: the Long-term Gap-free High-resolution Air Pollutant concentration dataset, derived via tensor-flow-based multimodal data fusion
Kaixu Bai, Ke Li, Mingliang Ma, et al.
Earth system science data (2022) Vol. 14, Iss. 2, pp. 907-927
Open Access | Times Cited: 95
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
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
Effect of diesel particulate filter regeneration on fuel consumption and emissions performance under real-driving conditions
Yuhan Huang, Elvin C.Y. Ng, Nicholas C. Surawski, et al.
Fuel (2022) Vol. 320, pp. 123937-123937
Closed Access | Times Cited: 38
Cooperative simultaneous inversion of satellite-based real-time PM2.5 and ozone levels using an improved deep learning model with attention mechanism
Xing Yan, Chen Zuo, Zhanqing Li, et al.
Environmental Pollution (2023) Vol. 327, pp. 121509-121509
Open Access | Times Cited: 22
Evaluation of four meteorological reanalysis datasets for satellite-based PM2.5 retrieval over China
Chen Zuo, Jiayi Chen, Yue Zhang, et al.
Atmospheric Environment (2023) Vol. 305, pp. 119795-119795
Closed Access | Times Cited: 19
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
Applications of Sentinel-5P TROPOMI Satellite Sensor: A Review
Arjuman Rafiq Reshi, Subbarao Pichuka, Akshar Tripathi
IEEE Sensors Journal (2024) Vol. 24, Iss. 13, pp. 20312-20321
Closed Access | Times Cited: 6
Global spatiotemporal estimation of daily high-resolution surface carbon monoxide concentrations using Deep Forest
Yuan Wang, Qiangqiang Yuan, Tongwen Li, et al.
Journal of Cleaner Production (2022) Vol. 350, pp. 131500-131500
Closed Access | Times Cited: 27
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
Developing PM2.5 and PM10 prediction models on a national and regional scale using open-source remote sensing data
Luka Mamić, Mateo Gašparović, Gordana Kaplan
Environmental Monitoring and Assessment (2023) Vol. 195, Iss. 6
Open Access | Times Cited: 15
Improved daily PM 2.5 estimates in India reveal inequalities in recent enhancement of air quality
Ayako Kawano, Makoto Kelp, Minghao Qiu, et al.
Science Advances (2025) Vol. 11, Iss. 4
Open Access
Potentials and Limitations of Using Sentinel Data for Power System Operation and Control: Case Study of Protection Against Forest Fires and Aerosol Contamination
Amalija Božiček, Božidar Filipović-Grčić, Bojan Franc, et al.
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1533-1533
Open Access
An Assessment of the Spatiotemporal Dynamics and Seasonal Trends in NO₂ Concentrations Across India Using Advanced Statistical Analysis
Aarti Srivastava, Aditya Kumar Thakur, Rahul Garg
Remote Sensing Applications Society and Environment (2025), pp. 101490-101490
Closed Access
An interpretable physics-informed deep learning model for estimating multiple air pollutants
Binjie Chen, Jiacong Hu, Yumiao Wang, et al.
GIScience & Remote Sensing (2025) Vol. 62, Iss. 1
Open Access
Multiscale and multisource data fusion for full-coverage PM2.5 concentration mapping: Can spatial pattern recognition come with modeling accuracy?
Kaixu Bai, Ke Li, Jianping Guo, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2021) Vol. 184, pp. 31-44
Open Access | Times Cited: 30
A new perspective to satellite-based retrieval of ground-level air pollution: Simultaneous estimation of multiple pollutants based on physics-informed multi-task learning
Qianqian Yang, Qiangqiang Yuan, Meng Gao, et al.
The Science of The Total Environment (2022) Vol. 857, pp. 159542-159542
Closed Access | Times Cited: 21
Interpolation-Based Fusion of Sentinel-5P, SRTM, and Regulatory-Grade Ground Stations Data for Producing Spatially Continuous Maps of PM2.5 Concentrations Nationwide over Thailand
Shinhye Han, Worasom Kundhikanjana, Peeranan Towashiraporn, et al.
Atmosphere (2022) Vol. 13, Iss. 2, pp. 161-161
Open Access | Times Cited: 19
Estimating daily PM2.5 concentrations using an extreme gradient boosting model based on VIIRS aerosol products over southeastern Europe
Serdar Gündoğdu, Gizem Tuna Tuygun, Zhanqing Li, et al.
Air Quality Atmosphere & Health (2022) Vol. 15, Iss. 12, pp. 2185-2198
Closed Access | Times Cited: 16
Estimation of surface PM2.5 concentrations from atmospheric gas species retrieved from TROPOMI using deep learning: Impacts of fire on air pollution over Thailand
Rackhun Son, Dimitris Stratoulias, Hyun Cheol Kim, et al.
Atmospheric Pollution Research (2023) Vol. 14, Iss. 10, pp. 101875-101875
Open Access | Times Cited: 10
Improving air quality assessment using physics-inspired deep graph learning
Lianfa Li, Jinfeng Wang, Meredith Franklin, et al.
npj Climate and Atmospheric Science (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 9
Spatiotemporal Weighted for Improving the Satellite-Based High-Resolution Ground PM2.5 Estimation Using the Light Gradient Boosting Machine
Xinyu Yu, Mengzhu Xi, Liyang Wu, et al.
Remote Sensing (2023) Vol. 15, Iss. 16, pp. 4104-4104
Open Access | Times Cited: 8
Data augmentation for bias correction in mapping PM2.5 based on satellite retrievals and ground observations
Tan Mi, Dié Tang, Jianbo Fu, et al.
Geoscience Frontiers (2023) Vol. 15, Iss. 1, pp. 101686-101686
Open Access | Times Cited: 7
Deriving PM2.5 from satellite observations with spatiotemporally weighted tree-based algorithms: enhancing modeling accuracy and interpretability
Tongwen Li, Yuan Wang, Jingan Wu
npj Climate and Atmospheric Science (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 2
A Novel Flexible Geographically Weighted Neural Network for High-Precision PM2.5 Mapping across the Contiguous United States
Dongchao Wang, Jianfei Cao, Baolei Zhang, et al.
ISPRS International Journal of Geo-Information (2024) Vol. 13, Iss. 7, pp. 217-217
Open Access | Times Cited: 2
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