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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:

A 1 km Global Carbon Flux Dataset Using In Situ Measurements and Deep Learning
Wei Shangguan, Zili Xiong, Vahid Nourani, et al.
Forests (2023) Vol. 14, Iss. 5, pp. 913-913
Open Access | Times Cited: 11

Showing 11 citing articles:

Assessment of Six Machine Learning Methods for Predicting Gross Primary Productivity in Grassland
Hao Wang, Wei Shao, Dafang Zhuang, et al.
Remote Sensing (2023) Vol. 15, Iss. 14, pp. 3475-3475
Open Access | Times Cited: 15
Establishing a soil carbon flux monitoring system based on support vector machine and XGBoost
Hanwei Ding
Soft Computing (2024) Vol. 28, Iss. 5, pp. 4551-4574
Closed Access | Times Cited: 3
Global-scale improvement of the estimation of terrestrial gross primary productivity by integrating optical and microwave remote sensing with meteorological data
Shuyu Zhang, Shanshan Yang, Jiaojiao Huang, et al.
Ecological Informatics (2024) Vol. 83, pp. 102780-102780
Open Access | Times Cited: 3
Temporal and Spatial Variations in Carbon Flux and Their Influencing Mechanisms on the Middle Tien Shan Region Grassland Ecosystem, China
Kun Zhang, Yu Wang, Ali Mamtimin, et al.
Remote Sensing (2023) Vol. 15, Iss. 16, pp. 4091-4091
Open Access | Times Cited: 7
Predicting Gross Primary Productivity under Future Climate Change for the Tibetan Plateau Based on Convolutional Neural Networks
Meimei Li, Zhongzheng Zhu, Weiwei Ren, et al.
Remote Sensing (2024) Vol. 16, Iss. 19, pp. 3723-3723
Open Access | Times Cited: 2
Assessing and improving the high uncertainty of global gross primary productivity products based on deep learning under extreme climatic conditions
Long Qian, Xingjiao Yu, Zhitao Zhang, et al.
The Science of The Total Environment (2024) Vol. 957, pp. 177344-177344
Closed Access | Times Cited: 2
Upscaling net ecosystem CO2 exchanges in croplands: The application of integrating object-based image analysis and machine learning approaches
Dexiang Gao, Jingyu Yao, Zhongming Gao, et al.
The Science of The Total Environment (2024) Vol. 944, pp. 173887-173887
Closed Access | Times Cited: 1
Interannual variations in grassland carbon fluxes and attribution of influencing factors in Qilian Mountains, China
Qingqing Hou, Kaikai Ma, Xiaojun Yu
The Science of The Total Environment (2024) Vol. 957, pp. 177786-177786
Closed Access | Times Cited: 1
Interannual Variations in Grassland Carbon Fluxes in the Qilian Mountains and Attribution of Influencing Factors: Upscaling Eddy Covariance Observations Based on the Random Forest Method
Qingqing Hou, Kaikai Ma, Xiaojun Yu
(2024)
Closed Access
Modeling Terrestrial Net Ecosystem Exchange Based on Deep Learning in China
Zeqiang Chen, Lei Wu, Nengcheng Chen, et al.
Remote Sensing (2024) Vol. 17, Iss. 1, pp. 92-92
Open Access
Assessing the Reliability of Global Carbon Flux Dataset Compared to Existing Datasets and Their Spatiotemporal Characteristics
Zili Xiong, Wei Shangguan, Vahid Nourani, et al.
Climate (2023) Vol. 11, Iss. 10, pp. 205-205
Open Access
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