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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:

Lidar-based daytime boundary layer height variation and impact on the regional satellite-based PM2.5 estimate
Sijie Chen, Bowen Tong, Lynn M. Russell, et al.
Remote Sensing of Environment (2022) Vol. 281, pp. 113224-113224
Open Access | Times Cited: 18

Showing 18 citing articles:

GIS-based machine learning algorithm for flood susceptibility analysis in the Pagla river basin, Eastern India
Nur Islam Saikh, Prolay Mondal
Natural Hazards Research (2023) Vol. 3, Iss. 3, pp. 420-436
Open Access | Times Cited: 45
Simultaneous profiling of dust aerosol mass concentration and optical properties with polarized high-spectral-resolution lidar
Da Xiao, Nanchao Wang, Sijie Chen, et al.
The Science of The Total Environment (2023) Vol. 872, pp. 162091-162091
Open Access | Times Cited: 23
Validation of ERA5 Boundary Layer Meteorological Variables by Remote-Sensing Measurements in the Southeast China Mountains
Yi‐Ming Wei, Kecheng Peng, Yongjing Ma, et al.
Remote Sensing (2024) Vol. 16, Iss. 3, pp. 548-548
Open Access | Times Cited: 5
Study on aerosols and BC cross-layer transport at the top of the planetary boundary layer based on aircraft observations in autumn over the North China Plain
Kun Cui, Sihan Liu, Honglei Wang, et al.
Atmospheric Environment (2025), pp. 121244-121244
Closed Access
Potential of Mie–Fluorescence–Raman Lidar to Profile Chlorophyll a Concentration in Inland Waters
Hongkai Zhao, Yudi Zhou, Hongda Wu, et al.
Environmental Science & Technology (2023) Vol. 57, Iss. 38, pp. 14226-14236
Closed Access | Times Cited: 10
An Improved Deep Learning Approach Considering Spatiotemporal Heterogeneity for PM2.5 Prediction: A Case Study of Xinjiang, China
Yajing Wu, Zhangyan Xu, Liping Xu, et al.
Atmosphere (2024) Vol. 15, Iss. 4, pp. 460-460
Open Access | Times Cited: 3
Machine learning model to accurately estimate the planetary boundary layer height of Beijing urban area with ERA5 data
Kecheng Peng, Jinyuan Xin, Xiaoqian Zhu, et al.
Atmospheric Research (2023) Vol. 293, pp. 106925-106925
Closed Access | Times Cited: 8
The impact of CO2 emission synergy on PM2.5 emissions and a dynamic analysis of health and economic benefits: A case study of China’s transportation industry
Xiaomei Cai, Shuxian Zheng, Xin Zhang, et al.
Journal of Cleaner Production (2024) Vol. 471, pp. 143405-143405
Closed Access | Times Cited: 2
Synergistic monitoring of PM2.5 and CO2 based on active and passive remote sensing fusion during the 2022 Beijing Winter Olympics
Shuaibo Wang, Wentao Xu, S. Y. Chen, et al.
Applied Optics (2024) Vol. 63, Iss. 5, pp. 1231-1231
Closed Access | Times Cited: 1
AI model to improve the mountain boundary layer height of ERA5
Jinyuan Xin, Kecheng Peng, Xiaoqian Zhu, et al.
Atmospheric Research (2024) Vol. 304, pp. 107352-107352
Closed Access | Times Cited: 1
Analyzing the influence of the planetary boundary layer height, ventilation coefficient, thermal inversions, and aerosol optical Depth on the concentration of PM2.5 in the city of São Paulo: A long-term study
Gregori de Arruda Moreira, Márcia Talita Amorim Marques, Fábio Lopes, et al.
Atmospheric Pollution Research (2024) Vol. 15, Iss. 8, pp. 102179-102179
Closed Access | Times Cited: 1
Comprehensive, Continuous, and Vertical Measurements of Seawater Constituents with Triple-Field-of-View High-Spectral-Resolution Lidar
Kai Zhang, Yatong Chen, Hongkai Zhao, et al.
Research (2023) Vol. 6
Open Access | Times Cited: 3
Estimation of the Seawater Lidar Ratio by MODIS: Spatial–Temporal Characteristics and Ecological Significance
Xiaoan Zhu, Hongkai Zhao, Enjie Hu, et al.
Remote Sensing (2023) Vol. 15, Iss. 13, pp. 3328-3328
Open Access | Times Cited: 2
The Reconstruction of FY-4A and FY-4B Cloudless Top-of-Atmosphere Radiation and Full-Coverage Particulate Matter Products Reveals the Influence of Meteorological Factors in Pollution Events
Zhihao Song, Lin Zhao, Qia Ye, et al.
Remote Sensing (2024) Vol. 16, Iss. 18, pp. 3363-3363
Open Access
Lidar-Observed Diel Vertical Variations of Inland Chlorophyll a Concentration
Hongkai Zhao, Yudi Zhou, Qiuling Gu, et al.
Remote Sensing (2024) Vol. 16, Iss. 19, pp. 3579-3579
Open Access
An Optimal Weighted Ensemble Machine Learning Approach to Accurate Estimate the Coastal Boundary Layer Height Using ERA5 Multi‐Variables
Kecheng Peng, Jinyuan Xin, Xiaoqian Zhu, et al.
Journal of Geophysical Research Atmospheres (2024) Vol. 129, Iss. 15
Open Access
The atmospheric boundary layer: a review of current challenges and a new generation of machine learning techniques
Linda Canché-Cab, Liliana San-Pedro, A. Bassam, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 12
Open Access
Estimation of Daily Seamless PM2.5 Concentrations with Climate Feature in Hubei Province, China
Wenjia Ni, Yu Ding, Siwei Li, et al.
Remote Sensing (2023) Vol. 15, Iss. 15, pp. 3822-3822
Open Access
激光雷达比历史数据的模糊综合评价研究
胡先哲 Hu Xianzhe, 刘东 Liu Dong, 肖达 Xiao Da, et al.
Acta Optica Sinica (2023) Vol. 43, Iss. 24, pp. 2401009-2401009
Closed Access
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