Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 National-Scale 1-km Resolution PM2.5 Estimation Model over Japan Using MAIAC AOD and a Two-Stage Random Forest Model
Chau‐Ren Jung, Wei‐Ting Chen, Shoji F. Nakayama
Remote Sensing (2021) Vol. 13, Iss. 18, pp. 3657-3657
Open Access | Times Cited: 23

Showing 23 citing articles:

PM2.5 and O3 concentration estimation based on interpretable machine learning
Siyuan Wang, Ying Ren, Bisheng Xia
Atmospheric Pollution Research (2023) Vol. 14, Iss. 9, pp. 101866-101866
Open Access | Times Cited: 23
Application of satellite remote sensing data and random forest approach to estimate ground-level PM2.5 concentration in Northern region of Thailand
Pimchanok Wongnakae, Pakkapong Chitchum, Rungduen Sripramong, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 38, pp. 88905-88917
Closed Access | Times Cited: 19
Research progress, challenges, and prospects of PM2.5 concentration estimation using satellite data
S. Y. Zhu, Jiayi Tang, Xiaolu Zhou, et al.
Environmental Reviews (2023) Vol. 31, Iss. 4, pp. 605-631
Open Access | Times Cited: 14
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: 20
Historical and future health burden attributable to PM2.5 exposure in China
Y. Bai, Lei Chen, Zijia Feng, et al.
Atmospheric Environment (2024) Vol. 322, pp. 120363-120363
Closed Access | Times Cited: 4
Association between preconception and early pregnancy exposure to fine particulate matter and nervous system anomalies: a nested case-control study
Bao‐Ru Chuang, Chung-Chin Lee, Yu-Ting Lin, et al.
European Journal of Epidemiology (2025)
Closed Access
Development of daily 1 km resolution estimation models for outdoor BTEX using random forest with land-use data and meteorological variables
Chenyu Wang, Li‐Hao Young, Bo-Ting Chen, et al.
Journal of Hazardous Materials (2025) Vol. 489, pp. 137599-137599
Closed Access
Soil moisture prediction using a hybrid meta-model based on random forest and multilayer perceptron algorithm
Sarabjit Kaur, Nirvair Neeru
Theoretical and Applied Climatology (2025) Vol. 156, Iss. 4
Closed Access
Estimating hourly surface PM2.5 concentrations with full spatiotemporal coverage in China using Himawari-8/9 AOD and a two-stage model
Shuyang Zhang, Peng Chen, Yuchen Zhang, et al.
Atmospheric Pollution Research (2025), pp. 102519-102519
Closed Access
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
Aerosol optical depth climatology from the high-resolution MAIAC product over Europe: differences between major European cities and their surrounding environments
Ludovico Di Antonio, Claudia Di Biagio, Gilles Forêt, et al.
Atmospheric chemistry and physics (2023) Vol. 23, Iss. 19, pp. 12455-12475
Open Access | Times Cited: 9
A hybrid model for estimating the number concentration of ultrafine particles based on machine learning algorithms in central Taiwan
Chau‐Ren Jung, Wei‐Ting Chen, Li‐Hao Young, et al.
Environment International (2023) Vol. 175, pp. 107937-107937
Open Access | Times Cited: 8
Generating high spatial resolution exposure estimates from sparse regulatory monitoring data
Yihui Ge, Zhenchun Yang, Yan Lin, et al.
Atmospheric Environment (2023) Vol. 313, pp. 120076-120076
Open Access | Times Cited: 8
A spatiotemporal XGBoost model for PM2.5 concentration prediction and its application in Shanghai
Zidong Wang, Xianhua Wu, You Wu
Heliyon (2023) Vol. 9, Iss. 12, pp. e22569-e22569
Open Access | Times Cited: 7
A machine learning model for estimating daily maximum 8-hour average ozone concentrations using OMI and MODIS products
Chau‐Ren Jung, Wei Chen, Wei‐Ting Chen, et al.
Atmospheric Environment (2024) Vol. 331, pp. 120587-120587
Closed Access | Times Cited: 2
Enhanced PM2.5 estimation across China: An AOD-independent two-stage approach incorporating improved spatiotemporal heterogeneity representations
Q. Chen, Kaiwen Shao, Songlin Zhang
Journal of Environmental Management (2024) Vol. 368, pp. 122107-122107
Open Access | Times Cited: 2
Validation and calibration of aerosol optical depth and classification of aerosol types based on multi-source data over China
Jing Wang, Yusi Liu, Li Chen, et al.
The Science of The Total Environment (2023) Vol. 903, pp. 166603-166603
Closed Access | Times Cited: 5
Near-real-time hourly PM2.5 prediction over East Asia using geostationary satellite products and machine learning
Jeewoo Lee, Yeseul Cho, Seoyoung Lee, et al.
Atmospheric Environment (2024) Vol. 334, pp. 120700-120700
Closed Access | Times Cited: 1
Predicting Daily PM2.5 Exposure with Spatially Invariant Accuracy Using Co-Existing Pollutant Concentrations as Predictors
Shin Araki, Hikari Shimadera, Hideki Hasunuma, et al.
Atmosphere (2022) Vol. 13, Iss. 5, pp. 782-782
Open Access | Times Cited: 7
High Spatial-Temporal PM2.5 Modeling Utilizing Next Generation Weather Radar (NEXRAD) as a Supplementary Weather Source
Xiaohe Yu, David J. Lary, Christopher S. Simmons, et al.
Remote Sensing (2022) Vol. 14, Iss. 3, pp. 495-495
Open Access | Times Cited: 6
PM2.5 Modeling and Historical Reconstruction over the Continental USA Utilizing GOES-16 AOD
Xiaohe Yu, David J. Lary, Christopher S. Simmons
Remote Sensing (2021) Vol. 13, Iss. 23, pp. 4788-4788
Open Access | Times Cited: 8
A Spatio-Temporal Weighted Filling Method for Missing AOD Values
Rongfeng Gao, Xiaoping Rui, Jiakui Tang
Atmosphere (2022) Vol. 13, Iss. 7, pp. 1080-1080
Open Access | Times Cited: 4
Overview: Random Forest Algorithm for PM2.5 Estimation Based on Remote Sensing
Mitra Unik, Sri Nadriati
Jurnal CoSciTech (Computer Science and Information Technology) (2022) Vol. 3, Iss. 3, pp. 422-430
Open Access | Times Cited: 2
Page 1

Scroll to top