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:

Projection of land susceptibility to subsidence hazard in China using an interpretable CNN deep learning model
Kai Liu, Jianxin Zhang, Junfei Liu, et al.
The Science of The Total Environment (2023) Vol. 913, pp. 169502-169502
Closed Access | Times Cited: 9

Showing 9 citing articles:

SHAP values accurately explain the difference in modeling accuracy of convolution neural network between soil full-spectrum and feature-spectrum
Liang Zhong, Guo Xi, Meng Ding, et al.
Computers and Electronics in Agriculture (2024) Vol. 217, pp. 108627-108627
Closed Access | Times Cited: 21

Interpretability Research of Deep Learning: A Literature Survey
Biao Xu, Guanci Yang
Information Fusion (2024) Vol. 115, pp. 102721-102721
Closed Access | Times Cited: 18

A hybrid cellular automaton model integrated with 3DCNN and LSTM for simulating land use/cover change
Wei Yang, Yu Zhang, Kun Hou, et al.
International Journal of Digital Earth (2025) Vol. 18, Iss. 1
Open Access

Spatial and temporal evolution characteristics of land subsidence in Fuyang: time series InSAR monitoring and analysis of impacting factors
Huaming Xie, Zixian Chen, Ting Zhang, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 3
Closed Access

Can different machine learning methods have consistent interpretations of DEM-based factors in shallow landslide susceptibility assessments?
Fanshu Xu, Qiang Xu, Chuanhao Pu, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2025)
Open Access

Offshore turbidity currents forecasting (part I): Integrating deep learning and computational fluid dynamics
Farid Fazel Mojtahedi, Negin Yousefpour, Shiao Huey Chow, et al.
Ocean Engineering (2025) Vol. 331, pp. 121360-121360
Open Access

Solving flood problems with deep learning technology: Research status, strategies, and future directions
Hongyang Li, Mingxin Zhu, Fangxin Li, et al.
Sustainable Development (2024)
Closed Access | Times Cited: 1

Prediction method of surface subsidence induced by block caving method based on UAV oblique photogrammetry
Weijia Ling, Xinglong Feng, Liguan Wang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access

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