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:

Unveiling the driving factors of urban land subsidence in Beijing, China
Qingyi Cao, Yufei Zhang, Yang Liu, et al.
The Science of The Total Environment (2024) Vol. 916, pp. 170134-170134
Closed Access | Times Cited: 6

Showing 6 citing articles:

Land subsidence monitoring and analysis in Qingdao, China using time series InSAR combining PS and DS
Qiuxiang Tao, Xuepeng Li, Tengfei Gao, et al.
Geomatics Natural Hazards and Risk (2025) Vol. 16, Iss. 1
Open Access

Spatiotemporal evolution characteristics of ground deformation in the Beijing Plain from 1992 to 2023 derived from a novel multi-sensor InSAR fusion method
Yuanzhao Fu, Jili Wang, Yi Zhang, et al.
Remote Sensing of Environment (2025) Vol. 319, pp. 114635-114635
Closed Access

Risk assessment of land subsidence in Shanghai municipality based on AHP and EWM
Y. H. Zhan, Yichen Zhang, Jiquan Zhang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Analysis of driving factors for land subsidence in typical cities of the North China Plain based on geodetector technology
Zhanrui Huang, Zhibin Huo, Wei Wang, et al.
Journal of Groundwater Science and Engineering (2025) Vol. 13, Iss. 1, pp. 74-89
Open Access

Integration Sentinel-1 SAR data and machine learning for land subsidence in-depth analysis in the North Coast of Central Java, Indonesia
Ardila Yananto, Fajar Yulianto, Mardi Wibowo, et al.
Earth Science Informatics (2024) Vol. 17, Iss. 5, pp. 4707-4738
Closed Access | Times Cited: 1

Urban ground subsidence monitoring and prediction using time-series InSAR and machine learning approaches: a case study of Tianjin, China
Jinlai Zhang, Pinglang Kou, Yuxiang Tao, et al.
Environmental Earth Sciences (2024) Vol. 83, Iss. 16
Open Access | Times Cited: 1

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