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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:

Combining Himawari-8 AOD and deep forest model to obtain city-level distribution of PM2.5 in China
Zhihao Song, Bin Chen, Jianping Huang
Environmental Pollution (2022) Vol. 297, pp. 118826-118826
Closed Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Estimation of near-surface ozone concentration and analysis of main weather situation in China based on machine learning model and Himawari-8 TOAR data
Bin Chen, Yixuan Wang, Jianping Huang, et al.
The Science of The Total Environment (2022) Vol. 864, pp. 160928-160928
Closed Access | Times Cited: 41
Synergistic observation of FY-4A&4B to estimate CO concentration in China: combining interpretable machine learning to reveal the influencing mechanisms of CO variations
Bin Chen, Jiashun Hu, Yixuan Wang
npj Climate and Atmospheric Science (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 11
Spatiotemporally continuous estimates of daily 1-km PM2.5 concentrations and their long-term exposure in China from 2000 to 2020
Qingqing He, Tong Ye, Weihang Wang, et al.
Journal of Environmental Management (2023) Vol. 342, pp. 118145-118145
Closed Access | Times Cited: 22
Modelling the furnace temperature field of a municipal solid waste incinerator using the numerical simulation and the deep forest regression algorithm
Jiakun Chen, Jian Tang, Heng Xia, et al.
Fuel (2023) Vol. 347, pp. 128511-128511
Closed Access | Times Cited: 15
PM2.5 Estimation using Machine Learning Models and Satellite Data: A Literature Review
Mitra Unik, Imas Sukaesih Sitanggang, Lailan Syaufina, et al.
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 5
Open Access | Times Cited: 15
Retrieving hourly seamless PM2.5 concentration across China with physically informed spatiotemporal connection
Yu Ding, Siwei Li, Jia Xing, et al.
Remote Sensing of Environment (2023) Vol. 301, pp. 113901-113901
Closed Access | Times Cited: 13
High temporal and spatial resolution PM2.5 dataset acquisition and pollution assessment based on FY-4A TOAR data and deep forest model in China
Zhihao Song, Bin Chen, Peng Zhang, et al.
Atmospheric Research (2022) Vol. 274, pp. 106199-106199
Open Access | Times Cited: 20
Remote sensing estimation of surface PM2.5 concentrations using a deep learning model improved by data augmentation and a particle size constraint
Shun‐Chao Yin, Tongwen Li, Xiao Cheng, et al.
Atmospheric Environment (2022) Vol. 287, pp. 119282-119282
Closed Access | Times Cited: 20
Mapping nighttime PM2.5 concentrations in Nanjing, China based on NPP/VIIRS nighttime light data
Huijuan Chen, Yongming Xu, Sheng Zhong, et al.
Atmospheric Environment (2023) Vol. 303, pp. 119767-119767
Open Access | Times Cited: 12
Estimation of Near-Surface High Spatiotemporal Resolution Ozone Concentration in China Using Himawari-8 AOD
Yixuan Wang, Chongshui Gong, Li Dong, et al.
Remote Sensing (2025) Vol. 17, Iss. 3, pp. 528-528
Open Access
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
Spatiotemporal estimation of near-surface CO 2 concentrations over the global continent based on hybrid machine learning model
Xinfeng Huang, Hui Yang, S. Qiao, et al.
Annals of GIS (2025), pp. 1-16
Open 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
Estimation and impact factor analysis of 24-hour near-surface ozone concentration in China using FY-4A/B collaboration and machine learning
Yixuan Wang, Bin Chen, Qia Ye, et al.
Atmospheric Pollution Research (2025), pp. 102538-102538
Closed Access
Fine particulate concentrations over East Asia derived from aerosols measured by the advanced Himawari Imager using machine learning
Yeseul Cho, Jhoon Kim, Jeewoo Lee, et al.
Atmospheric Research (2023) Vol. 290, pp. 106787-106787
Closed Access | Times Cited: 10
Coupling the linear mixed effects model with random forest improves hourly PM2.5 estimation from Himawari-8 AOD over the Yangtze River Delta
Yunhui Tan, Quan Wang, Zhaoyang Zhang
Atmospheric Pollution Research (2023) Vol. 14, Iss. 5, pp. 101739-101739
Closed Access | Times Cited: 9
PD-LL-Transformer: An Hourly PM2.5 Forecasting Method over the Yangtze River Delta Urban Agglomeration, China
Rongkun Zou, Heyun Huang, Xiaoman Lu, et al.
Remote Sensing (2024) Vol. 16, Iss. 11, pp. 1915-1915
Open Access | Times Cited: 3
Continental aerosol properties and absorption retrieval using random forest machine learning method specific to geostationary remote sensing
Fangwen Bao, Shengbiao Wu, Jinhui Gao, et al.
Remote Sensing of Environment (2024) Vol. 311, pp. 114275-114275
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
Synthesis of satellite and ground data provide unique perspectives for discovering the air pollution patterns: a case study in Guangdong Province, China
Jing Li, Kwon‐Ho Lee, A. K. Qin, et al.
Environmental Pollution (2024), pp. 124968-124968
Closed Access | Times Cited: 2
Using satellite data on remote transportation of air pollutants for PM2.5 prediction in northern Taiwan
George Kibirige, Ming-Chuan Yang, Chao-Lin Liu, et al.
PLoS ONE (2023) Vol. 18, Iss. 3, pp. e0282471-e0282471
Open Access | Times Cited: 6
Estimation of PM2.5 concentrations with high spatiotemporal resolution in Beijing using the ERA5 dataset and machine learning models
Zhihao Wang, Peng Chen, Rong Wang, et al.
Advances in Space Research (2022) Vol. 71, Iss. 8, pp. 3150-3165
Closed Access | Times Cited: 9
Estimation of the ground-level SO2 concentration in eastern China based on the LightGBM model and Himawari-8 TOAR
Xu Tan, Bin Chen, Yuxiang Ren, et al.
Frontiers in Earth Science (2023) Vol. 10
Open Access | Times Cited: 4
Joint estimation of PM2.5 and O3 concentrations using a hybrid model in Beijing-Tianjin-Hebei, China
Decai Gong, Ning Du, Wang Li, et al.
Atmospheric Pollution Research (2024) Vol. 15, Iss. 8, pp. 102174-102174
Closed Access | Times Cited: 1
Estimation of PM2.5 concentrations in North China with high spatiotemporal resolution using the ERA5 dataset and machine learning models
Zhihao Wang, Hongzhou Chai, Peng Chen, et al.
Advances in Space Research (2024) Vol. 74, Iss. 2, pp. 711-726
Closed Access
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