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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:

High-spatiotemporal resolution mapping of spatiotemporally continuous atmospheric CO2 concentrations over the global continent
Jie Li, Kun Jia, Xiangqin Wei, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 108, pp. 102743-102743
Open Access | Times Cited: 49

Showing 1-25 of 49 citing articles:

Mapping contiguous XCO2 by machine learning and analyzing the spatio-temporal variation in China from 2003 to 2019
Mengqi Zhang, Guijian Liu
The Science of The Total Environment (2022) Vol. 858, pp. 159588-159588
Open Access | Times Cited: 46
Deriving gapless CO2 concentrations using a geographically weighted neural network: China, 2014–2020
Lingfeng Zhang, Tongwen Li, Jingan Wu
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 114, pp. 103063-103063
Open Access | Times Cited: 39
Does institutional quality affect CO2 emissions? Evidence from explainable artificial intelligence models
Nicolae Stef, Hakan Başağaoğlu, Debaditya Chakraborty, et al.
Energy Economics (2023) Vol. 124, pp. 106822-106822
Closed Access | Times Cited: 30
Machine learning-based prediction and assessment of recent dynamics of forest net primary productivity in Romania
Remus Prăvălie, Mihai Niculiță, Bogdan Roșca, et al.
Journal of Environmental Management (2023) Vol. 334, pp. 117513-117513
Closed Access | Times Cited: 20
Full-coverage mapping high-resolution atmospheric CO2 concentrations in China from 2015 to 2020: Spatiotemporal variations and coupled trends with particulate pollution
Qingqing He, Tong Ye, Xiuzhen Chen, et al.
Journal of Cleaner Production (2023) Vol. 428, pp. 139290-139290
Closed Access | Times Cited: 18
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: 17
Reconstructing annual XCO2 at a 1 km×1 km spatial resolution across China from 2012 to 2019 based on a spatial CatBoost method
Chao Wu, Yuechuang Ju, Shuo Yang, et al.
Environmental Research (2023) Vol. 236, pp. 116866-116866
Closed Access | Times Cited: 17
Facing & mitigating common challenges when working with real-world data: The Data Learning Paradigm
Jake Lever, Sibo Cheng, César Quilodrán Casas, et al.
Journal of Computational Science (2025), pp. 102523-102523
Open Access
Spatiotemporal Variation and Influencing Factors of Atmospheric CO2 Concentration in China
Weixin Zhu, Hong Zhang, Xiaoyu Zhang, et al.
Chinese Geographical Science (2025) Vol. 35, Iss. 1, pp. 149-160
Closed Access
A five-year Study Using Sentinel-5P Data Observing Seasonal Dynamics and Long-term Trends of Atmospheric Pollutants
Hasan Mohamed, Abubakr Hassan, Abdelrahim Elhag
International Journal of Engineering and Geosciences (2025) Vol. 10, Iss. 2, pp. 262-271
Open Access
Evaluating the Spatiotemporal Variations in Atmospheric CO2 Concentrations in China and Identifying Factors Contributing to Its Increase
Weixin Zhu, Hong Zhang, Xiaoyu Zhang, et al.
Atmospheric Pollution Research (2025), pp. 102458-102458
Closed Access
Impact of net-zero emissions on atmospheric CO2 concentration in China: Ideal simulations based on the GEOS-Chem model
Jingye Tan, Jun Wang, Huiqin Mao, et al.
Science China Earth Sciences (2025)
Closed Access
The Application of Remote Sensing Technology in Inland Water Quality Monitoring and Water Environment Science: Recent Progress and Perspectives
Lei Chen, Leizhen Liu, Shasha Liu, et al.
Remote Sensing (2025) Vol. 17, Iss. 4, pp. 667-667
Open Access
净零排放对中国大气二氧化碳浓度的影响——基于GEOS-Chem模型的理想模拟
景烨 谭, 军 王, 慧琴 毛, et al.
SCIENTIA SINICA Terrae (2025) Vol. 55, Iss. 3, pp. 892-907
Open Access
Machine Learning Model-Based Estimation of XCO2 with High Spatiotemporal Resolution in China
Sicong He, Yanbin Yuan, Zihui Wang, et al.
Atmosphere (2023) Vol. 14, Iss. 3, pp. 436-436
Open Access | Times Cited: 13
Multi-sensor integrated mapping of global XCO2 from 2015 to 2021 with a local random forest model
Jiabin Chen, Ruohua Hu, Leyan Chen, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 208, pp. 107-120
Closed Access | Times Cited: 4
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
A Review of Satellite-Based CO2 Data Reconstruction Studies: Methodologies, Challenges, and Advances
Kai Hu, Ziran Liu, Pengfei Shao, et al.
Remote Sensing (2024) Vol. 16, Iss. 20, pp. 3818-3818
Open Access | Times Cited: 3
Multi-Scenario land cover changes and carbon emissions prediction for peak carbon emissions in the Yellow River Basin, China
Haipeng Niu, Si Chen, Dongyang Xiao
Ecological Indicators (2024) Vol. 168, pp. 112794-112794
Open Access | Times Cited: 3
Global estimates of gap-free and fine-scale CO2 concentrations during 2014–2020 from satellite and reanalysis data
Lingfeng Zhang, Tongwen Li, Jingan Wu, et al.
Environment International (2023) Vol. 178, pp. 108057-108057
Open Access | Times Cited: 8
Spatio-temporal modeling of satellite-observed CO2 columns in China using deep learning
Zhonghua He, Gaofeng Fan, Xiang Li, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 129, pp. 103859-103859
Open Access | Times Cited: 2
Downscaled XCO2 Estimation using Data Fusion and AI-based Spatio-Temporal Models
Spurthy Maria Pais, Shrutilipi Bhattacharjee, M. Anand Kumar, et al.
IEEE Geoscience and Remote Sensing Letters (2024) Vol. 21, pp. 1-5
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
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: 1
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: 1
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