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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:

Generating daily high-resolution and full-coverage XCO2 across China from 2015 to 2020 based on OCO-2 and CAMS data
Tongwen Li, Jingan Wu, Tianxing Wang
The Science of The Total Environment (2023) Vol. 893, pp. 164921-164921
Closed Access | Times Cited: 19

Showing 19 citing articles:

Reconstructing global daily XCO2 at 1° × 1° spatial resolution from 2016 to 2019 with multisource satellite observation data
Yao Huang, Rui Wang, Ming‐Shaung Ju, et al.
Journal of Applied Remote Sensing (2024) Vol. 18, Iss. 02
Closed Access | Times Cited: 8
Global Daily Column Average CO2 at 0.1° × 0.1° Spatial Resolution Integrating OCO-3, GOSAT, CAMS with EOF and Deep Learning
Franz Pablo Antezana Lopez, Guanhua Zhou, Guifei Jing, et al.
Scientific Data (2025) Vol. 12, Iss. 1
Open Access | Times Cited: 1
Graph attention network-based multi-source data fusion for atmospheric CO 2 concentrations estimation
De Bao, Zheng Ma, Liheng Zhong, et al.
International Journal of Digital Earth (2025) Vol. 18, Iss. 1
Open 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
Satellite-Based Reconstruction of Atmospheric CO2 Concentration over China Using a Hybrid CNN and Spatiotemporal Kriging Model
Yiying Hua, Xuesheng Zhao, Wenbin Sun, et al.
Remote Sensing (2024) Vol. 16, Iss. 13, pp. 2433-2433
Open Access | Times Cited: 3
Seamless Reconstruction and Spatiotemporal Analysis of Satellite-based XCO2 Incorporating Temporal Characteristics: A Case Study in China during 2015-2020
Junchen He, Wei Wang, Nan Wang
Advances in Space Research (2024) Vol. 74, Iss. 8, pp. 3804-3825
Closed Access | Times Cited: 3
Seamless Hourly Estimation of Negative Air Ion Concentrations: Integrating Hybrid Stacked Machine Learning Models With Kriging Spatiotemporal Augmentation
Zhehao Liang, Zhaoliang Zeng, Martin Kada, et al.
Geophysical Research Letters (2024) Vol. 51, Iss. 16
Open Access | Times Cited: 3
XCO2 Super-Resolution Reconstruction Based on Spatial Extreme Random Trees
Xuwen Li, Sheng Jiang, Xiangyuan Wang, et al.
Atmosphere (2024) Vol. 15, Iss. 4, pp. 440-440
Open Access | Times Cited: 2
Progressive gap-filling in optical remote sensing imagery through a cascade of temporal and spatial reconstruction models
Jingan Wu, Tongwen Li, Liupeng Lin, et al.
Remote Sensing of Environment (2024) Vol. 311, pp. 114245-114245
Closed Access | Times Cited: 2
Estimating high spatio-temporal resolution XCO2 using spatial features deep fusion model
Cui Liu, Hui Yang, Yina Qiao, et al.
Atmospheric Research (2024) Vol. 308, pp. 107542-107542
Closed 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
Integration of surface-based and space-based atmospheric CO2 measurements for improving carbon flux estimates using a new developed 3-GAS inversion model
Shu’an Liu, Xiaofeng Pan, Xiangyun Xiong, et al.
Atmospheric Research (2024) Vol. 307, pp. 107477-107477
Closed Access | Times Cited: 1
An Interpolation and Prediction Algorithm for XCO2 Based on Multi-Source Time Series Data
Kai Hu, Qi Zhang, Xinyan Feng, et al.
Remote Sensing (2024) Vol. 16, Iss. 11, pp. 1907-1907
Open Access | Times Cited: 1
Unrevealing the coupling coordination degree between atmospheric CO2 concentration and human activities from geospatial and temporal perspectives
Yurong Zheng, Jianfei Wu, Shouhang Du, et al.
The Science of The Total Environment (2024) Vol. 942, pp. 173691-173691
Closed Access | Times Cited: 1
Quantification of Co2 Emissions as a Function of Land Use/Land Cover Changes Across Köppen Classified Climatic Zones in South Asia (India)
Mahesh Pathakoti, K. S. Rajan, Kanchana Lakshmi Asuri, et al.
(2024)
Closed Access
Generating Daily High-Resolution Regional XCO2 by Deep Neural Network and Multi-Source Data
Wenjie Tian, Lili Zhang, Tao Yu, et al.
Atmosphere (2024) Vol. 15, Iss. 8, pp. 985-985
Open Access
Mapping high-resolution XCO2 concentrations in China from 2015 to 2020 based on spatiotemporal ensemble learning model
Weican Liu, Rong Li, Jun Cao, et al.
Ecological Informatics (2024) Vol. 83, pp. 102806-102806
Open Access
Mapping seamless monthly XCO2 in East Asia: Utilizing OCO-2 data and machine learning
Terigelehu Te, Chunling Bao, Hasi Bagan, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 133, pp. 104117-104117
Open Access
Estimation of daily XCO2 at 1 km resolution in China using a spatiotemporal ResNet model
Chao Wu, Shuo Yang, Donglai Jiao, et al.
The Science of The Total Environment (2024) Vol. 954, pp. 176171-176171
Closed Access
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