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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:

Estimating PM2.5 concentration of the conterminous United States via interpretable convolutional neural networks
Yongbee Park, Byungjoon Kwon, Juyeon Heo, et al.
Environmental Pollution (2019) Vol. 256, pp. 113395-113395
Closed Access | Times Cited: 118

Showing 26-50 of 118 citing articles:

Estimation of Atmospheric PM10 Concentration in China Using an Interpretable Deep Learning Model and Top‐of‐the‐Atmosphere Reflectance Data From China’s New Generation Geostationary Meteorological Satellite, FY‐4A
Bin Chen, Zhihao Song, Jianping Huang, et al.
Journal of Geophysical Research Atmospheres (2022) Vol. 127, Iss. 9
Open Access | Times Cited: 29
Interpreting hourly mass concentrations of PM2.5 chemical components with an optimal deep-learning model
Hongyi Li, Ting Yang, Yiming Du, et al.
Journal of Environmental Sciences (2024) Vol. 151, pp. 125-139
Closed Access | Times Cited: 7
Deep learning bias correction of GEMS tropospheric NO2: A comparative validation of NO2 from GEMS and TROPOMI using Pandora observations
Masoud Ghahremanloo, Yunsoo Choi, Deveshwar Singh
Environment International (2024) Vol. 190, pp. 108818-108818
Open Access | Times Cited: 6
Remote Sensing and Social Sensing Data Fusion for Fine-Resolution Population Mapping With a Multimodel Neural Network
Luxiao Cheng, Lizhe Wang, Ruyi Feng, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2021) Vol. 14, pp. 5973-5987
Open Access | Times Cited: 39
Prediction of Air Pollutant Concentration Based on One-Dimensional Multi-Scale CNN-LSTM Considering Spatial-Temporal Characteristics: A Case Study of Xi’an, China
Hongbin Dai, Guangqiu Huang, Jingjing Wang, et al.
Atmosphere (2021) Vol. 12, Iss. 12, pp. 1626-1626
Open Access | Times Cited: 33
How magnitude of PM2.5 exposure disparities have evolved across Chinese urban-rural population during 2010–2019
Ming Liu, Yang Wang, Ruochen Liu, et al.
Journal of Cleaner Production (2022) Vol. 382, pp. 135333-135333
Open Access | Times Cited: 23
Global PM2.5 Prediction and Associated Mortality to 2100 under Different Climate Change Scenarios
Wanying Chen, Xingcheng Lu, Dehao Yuan, et al.
Environmental Science & Technology (2023) Vol. 57, Iss. 27, pp. 10039-10052
Closed Access | Times Cited: 15
An investigation of PM2.5 concentration changes in Mid-Eastern China before and after COVID-19 outbreak
Yongjun Zhang, Wenpin Wu, Yiliang Li, et al.
Environment International (2023) Vol. 175, pp. 107941-107941
Open Access | Times Cited: 14
Deep Learning Calibration Model for PurpleAir PM2.5 Measurements: Comprehensive Investigation of the PurpleAir Network
Masoud Ghahremanloo, Yunsoo Choi, Mahmoudreza Momeni
Atmospheric Environment (2025), pp. 121118-121118
Closed Access
Time-Series Data-Driven PM2.5 Forecasting: From Theoretical Framework to Empirical Analysis
Chengqian Wu, Ruiyang Wang, Siyu Lu, et al.
Atmosphere (2025) Vol. 16, Iss. 3, pp. 292-292
Open Access
Spatial-and-local-aware deep learning approach for Ground-Level NO2 estimation in England with multisource data from satellite-based observations and chemical transport models
Siying Wang, Shuangyin Zhang, Dawei Wang, et al.
International Journal of Applied Earth Observation and Geoinformation (2025) Vol. 139, pp. 104506-104506
Closed Access
Gaussian Markov random fields improve ensemble predictions of daily 1 km PM2.5 and PM10 across France
Ian Hough, Ron Sarafian, Alexandra Shtein, et al.
Atmospheric Environment (2021) Vol. 264, pp. 118693-118693
Open Access | Times Cited: 30
PM2.5 Concentration Prediction Based on Spatiotemporal Feature Selection Using XGBoost-MSCNN-GA-LSTM
Hongbin Dai, Guangqiu Huang, Huibin Zeng, et al.
Sustainability (2021) Vol. 13, Iss. 21, pp. 12071-12071
Open Access | Times Cited: 29
Explainable and spatial dependence deep learning model for satellite-based O3 monitoring in China
Nana Luo, Zhou Zang, Chuan Yin, et al.
Atmospheric Environment (2022) Vol. 290, pp. 119370-119370
Open Access | Times Cited: 19
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
Interpretable Machine Learning Approaches for Forecasting and Predicting Air Pollution: A Systematic Review
Anass Houdou, Imad El Badisy, Kenza Khomsi, et al.
Aerosol and Air Quality Research (2023) Vol. 24, Iss. 1, pp. 230151-230151
Open Access | Times Cited: 12
Short-Term PM2.5 Prediction Based on Multi-Modal Meteorological Data for Consumer-Grade Meteorological Electronic Systems
Lina Wang, Xiaochen Jin, Zengyang Huang, et al.
IEEE Transactions on Consumer Electronics (2024) Vol. 70, Iss. 1, pp. 3464-3474
Closed Access | Times Cited: 4
Impact of land use characteristics on air pollutant concentrations considering the spatial range of influence
Gunwon Lee, Han Yuhan, Geunhan Kim
Atmospheric Pollution Research (2025), pp. 102498-102498
Closed Access
Satellite Remote Sensing for Estimating PM2.5 and Its Components
Ying Li, Shuyun Yuan, Shidong Fan, et al.
Current Pollution Reports (2021) Vol. 7, Iss. 1, pp. 72-87
Closed Access | Times Cited: 20
Decameter Cropland LAI/FPAR Estimation From Sentinel-2 Imagery Using Google Earth Engine
Yuanheng Sun, Qiming Qin, Huazhong Ren, et al.
IEEE Transactions on Geoscience and Remote Sensing (2021) Vol. 60, pp. 1-14
Closed Access | Times Cited: 20
Development of a CNN+LSTM Hybrid Neural Network for Daily PM2.5 Prediction
Hyun S. Kim, Kyung Man Han, Jinhyeok Yu, et al.
Atmosphere (2022) Vol. 13, Iss. 12, pp. 2124-2124
Open Access | Times Cited: 15
Mitochondrial superoxide mediates PM2.5-induced cytotoxicity in human pulmonary lymphatic endothelial cells
Ye Cui, Guang Chen, Zeran Yang
Environmental Pollution (2020) Vol. 263, pp. 114423-114423
Closed Access | Times Cited: 22
An interpretable deep forest model for estimating hourly PM10 concentration in China using Himawari-8 data
Bin Chen, Zhihao Song, Baolong Shi, et al.
Atmospheric Environment (2021) Vol. 268, pp. 118827-118827
Open Access | Times Cited: 19
Spatial variation of fine particulate matter levels in Nairobi before and during the COVID-19 curfew: implications for environmental justice
Priyanka deSouza, Phoebe Atsieno Oriama, P. P. Pedersen, et al.
Environmental Research Communications (2021) Vol. 3, Iss. 7, pp. 071003-071003
Open Access | Times Cited: 18
Comparison of PM2.5 in Seoul, Korea Estimated from the Various Ground-Based and Satellite AOD
Sang‐Min Kim, Ja-Ho Koo, Hana Lee, et al.
Applied Sciences (2021) Vol. 11, Iss. 22, pp. 10755-10755
Open Access | Times Cited: 18

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