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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:

How Good Are Global Layers for Mapping Rural Settlements? Evidence from China
Ningcheng Wang, Xinyi Zhang, Shenjun Yao, et al.
Land (2022) Vol. 11, Iss. 8, pp. 1308-1308
Open Access | Times Cited: 14

Showing 14 citing articles:

A first Chinese building height estimate at 10 m resolution (CNBH-10 m) using multi-source earth observations and machine learning
Wanben Wu, Jun Ma, Ellen Banzhaf, et al.
Remote Sensing of Environment (2023) Vol. 291, pp. 113578-113578
Open Access | Times Cited: 146
GLC_FCS30D: the first global 30 m land-cover dynamics monitoring product with a fine classification system for the period from 1985 to 2022 generated using dense-time-series Landsat imagery and the continuous change-detection method
Xiao Zhang, Tingting Zhao, Xu Hong, et al.
Earth system science data (2024) Vol. 16, Iss. 3, pp. 1353-1381
Open Access | Times Cited: 64
Are there suitable global datasets for monitoring of land use and land cover in the tropics? Evidences from mainland Southeast Asia
Jiahao Zhai, Chiwei Xiao, Zhiming Feng, et al.
Global and Planetary Change (2023) Vol. 229, pp. 104233-104233
Closed Access | Times Cited: 13
GLC_FCS30D: The first global 30-m land-cover dynamic monitoring product with a fine classification system from 1985 to 2022 using dense time-series Landsat imagery and continuous change-detection method
Xiao Zhang, Tingting Zhao, Xu Hong, et al.
(2023)
Open Access | Times Cited: 11
Spatially explicit accuracy assessment of deep learning-based, fine-resolution built-up land data in the United States
Johannes Uhl, Stefan Leyk
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 123, pp. 103469-103469
Open Access | Times Cited: 6
Mapping Urban Structure Types Based on Remote Sensing Data—A Universal and Adaptable Framework for Spatial Analyses of Cities
Andreas Braun, Gebhard Warth, Felix Bachofer, et al.
Land (2023) Vol. 12, Iss. 10, pp. 1885-1885
Open Access | Times Cited: 6
Global urban and rural settlement dataset from 2000 to 2020
Zhitao Liu, Sheng Huang, Chuanglin Fang, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 1
Increased Vegetation Productivity of Altitudinal Vegetation Belts in the Chinese Tianshan Mountains despite Warming and Drying since the Early 21st Century
Yong Zhang, Chengbang An, Lai Jiang, et al.
Forests (2023) Vol. 14, Iss. 11, pp. 2189-2189
Open Access | Times Cited: 2
Exploration of the Urbanization Process and Its Impact on Vegetation in 125 Resource-Based Cities in China and Comparison with Other Cities
Jiazheng Han, Payam Sajadi, Zhenqi Hu, et al.
Remote Sensing (2024) Vol. 16, Iss. 19, pp. 3640-3640
Open Access
Spatially explicit accuracy assessment of deep learning-based, fine-resolution built-up land data in the United States
Johannes Uhl, Stefan Leyk
arXiv (Cornell University) (2023)
Open Access | Times Cited: 1
Comment on essd-2023-320

(2023)
Open Access
Comment on essd-2023-320

(2023)
Open Access
Reply on RC2
Liangyun Liu
(2023)
Open Access
Reply on RC1
Liangyun Liu
(2023)
Open Access
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