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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:

Estimation of high spatial resolution ground-level ozone concentrations based on Landsat 8 TIR bands with deep forest model
Muyu Li, Qianqian Yang, Qiangqiang Yuan, et al.
Chemosphere (2022) Vol. 301, pp. 134817-134817
Closed Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

From degrade to upgrade: Learning a self-supervised degradation guided adaptive network for blind remote sensing image super-resolution
Yi Xiao, Qiangqiang Yuan, Kui Jiang, et al.
Information Fusion (2023) Vol. 96, pp. 297-311
Closed Access | Times Cited: 142
Spatially continuous mapping of hourly ground ozone levels assisted by Himawari-8 short wave radiation products
Yixiao Zhang, Wei Wang, Junchen He, et al.
GIScience & Remote Sensing (2023) Vol. 60, Iss. 1
Open Access | Times Cited: 27
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
Enhancing Wheat Above-Ground Biomass Estimation Using UAV RGB Images and Machine Learning: Multi-Feature Combinations, Flight Height, and Algorithm Implications
Weiguang Zhai, Changchun Li, Qian Cheng, et al.
Remote Sensing (2023) Vol. 15, Iss. 14, pp. 3653-3653
Open Access | Times Cited: 16
Diagnosing ozone–NOx–VOC–aerosol sensitivity and uncovering causes of urban–nonurban discrepancies in Shandong, China, using transformer-based estimations
Chenliang Tao, Yanbo Peng, Qingzhu Zhang, et al.
Atmospheric chemistry and physics (2024) Vol. 24, Iss. 7, pp. 4177-4192
Open Access | Times Cited: 6
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
Comprehensive 24-Hour Ground-Level Ozone Monitoring: Leveraging Machine Learning for Full-Coverage Estimation in East Asia
Yejin Kim, Seohui Park, Hyunyoung Choi, et al.
Journal of Hazardous Materials (2025) Vol. 488, pp. 137369-137369
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
Rebuilding high-quality near-surface ozone data based on the combination of WRF-Chem model with a machine learning method to better estimate its impact on crop yields in the Beijing-Tianjin-Hebei region from 2014 to 2019
Tian Han, Xiaomin Hu, Jing Zhang, et al.
Environmental Pollution (2023) Vol. 336, pp. 122334-122334
Closed Access | Times Cited: 9
Comparison of Different Machine Learning Methods to Reconstruct Daily Evapotranspiration Estimated by Thermal-Infrared Remote Sensing
Gengle Zhao, Lisheng Song, Long Zhao, et al.
(2024)
Open Access | Times Cited: 3
Exploring high-resolution near-surface CO concentrations based on Himawari-8 top-of-atmosphere radiation data: Assessing the distribution of city-level CO hotspots in China
Бин Чэн, Jiashun Hu, Zhihao Song, et al.
Atmospheric Environment (2023) Vol. 312, pp. 120021-120021
Closed Access | Times Cited: 7
A Comparison of Different Machine Learning Methods to Reconstruct Daily Evapotranspiration Time Series Estimated by Thermal–Infrared Remote Sensing
Gengle Zhao, Lisheng Song, Long Zhao, et al.
Remote Sensing (2024) Vol. 16, Iss. 3, pp. 509-509
Open Access | Times Cited: 2
Full-coverage estimation of CO2 concentrations in China via multisource satellite data and Deep Forest model
Kun Cai, Lingling Guan, Shenshen Li, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 2
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
Remote Sensing of Tropospheric Ozone from Space: Progress and Challenges
Jian Xu, Zhuo Zhang, Lanlan Rao, et al.
Journal of Remote Sensing (2024) Vol. 4
Open Access | Times Cited: 1
A multi-perspective assessment of satellite surface Ozone products in China: Spatiotemporal variability, land cover impacts and pollution monitoring capability
Jian Wang, Yuling Du, Tianxiang Cui, et al.
Remote Sensing Applications Society and Environment (2024), pp. 101359-101359
Closed Access | Times Cited: 1
Estimation of Near-Ground Ozone With High Spatio-Temporal Resolution in the Yangtze River Delta Region of China Based on a Temporally Ensemble Model
Zhen Li, Heng Dong, Zili Zhang, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023) Vol. 16, pp. 7051-7061
Open Access | Times Cited: 4
Comment on egusphere-2023-2640

(2024)
Open Access
Reply on RC2
Chenliang Tao
(2024)
Open Access
A Deep Forest Algorithm Based on TropOMI Satellite Data to Estimate Near-Ground Ozone Concentration
Mao Zong, T. Z. Song, Yan Zhang, et al.
Atmosphere (2024) Vol. 15, Iss. 9, pp. 1020-1020
Open Access
Time Series Modeling of Ozone Concentration Constrained by Residual Variance in China from 2005 to 2020
Bin Zou, S. Y. Zhu, Xin-yu Huang, et al.
(2024)
Closed Access
Comment on egusphere-2023-2640

(2024)
Open Access
Interpretable Stepwise Multiple Linear Regression Model for Ozone Concentration Prediction
Y. T. Gu, 畅 刘, Xinyue Liu, et al.
(2024)
Closed Access
Spatial and Temporal Distribution Characteristics of Total Ozone Column Concentration in the Yangtze River Delta Region Based on TROPOMI
金轲 宋
Advances in Environmental Protection (2023) Vol. 13, Iss. 04, pp. 1014-1025
Closed Access
Diagnosing Ozone-NOx-VOCs-Aerosols Sensitivity to Uncover Urban-nonurban Discrepancies in Shandong, China using Transformer-based High-resolution Air Pollution Estimations
Chenliang Tao, Yanbo Peng, Qingzhu Zhang, et al.
(2023)
Open Access
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