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 novel CGBoost deep learning algorithm for coseismic landslide susceptibility prediction
Qiyuan Yang, Xianmin Wang, Jing Yin, et al.
Geoscience Frontiers (2023) Vol. 15, Iss. 2, pp. 101770-101770
Open Access | Times Cited: 11

Showing 11 citing articles:

Modelling landslide susceptibility prediction: A review and construction of semi-supervised imbalanced theory
Faming Huang, Haowen Xiong, Shui‐Hua Jiang, et al.
Earth-Science Reviews (2024) Vol. 250, pp. 104700-104700
Closed Access | Times Cited: 61

A systematic review of trustworthy artificial intelligence applications in natural disasters
A. S. Albahri, Yahya Layth Khaleel, Mustafa Abdulfattah Habeeb, et al.
Computers & Electrical Engineering (2024) Vol. 118, pp. 109409-109409
Open Access | Times Cited: 48

Enhancing Water Quality Management: Predictive Insights Through Machine Learning Algorithms
Ratnakar Swain, Sachin Mehta, Debabrata Mishra
Environmental earth sciences (2025), pp. 171-180
Closed Access

A comparative study of regional rainfall-induced landslide early warning models based on RF、CNN and MLP algorithms
Yanhui Liu, Shiwei Ma, Lihao Dong, et al.
Frontiers in Earth Science (2024) Vol. 12
Open Access | Times Cited: 3

A Graph–Transformer Method for Landslide Susceptibility Mapping
Zhang Qing, Yi He, Yalei Zhang, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 14556-14574
Open Access | Times Cited: 3

Co-seismic landslides susceptibility evaluation of Bayesian random forest considering InSAR deformation: a case study of the Luding Ms6.8 earthquake
Qiang Lin, Zhihua Zhang, Zhenghua Yang, et al.
Geomatics Natural Hazards and Risk (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 2

Assessing landslide susceptibility and dynamics at cultural heritage sites by integrating machine learning techniques and persistent scatterer interferometry
José Eduardo Bonini, Carlotta Parenti, Francesca Grassi, et al.
Geomorphology (2024), pp. 109522-109522
Open Access | Times Cited: 1

Artificial intelligence approach for predicting compressive strength of foamed concrete
Nguyen Thi Loc, Mai Anh Duc, Nguyen Cong Luyen, et al.
The University of Danang - Journal of Science and Technology (2024), pp. 13-19
Open Access

Exploiting the synergy of SARIMA and XGBoost for spatiotemporal earthquake time series forecasting
Arush Kaushal, Ashok Kumar Gupta, Vivek Kumar Sehgal
Earth Surface Processes and Landforms (2024) Vol. 49, Iss. 14, pp. 4724-4742
Closed Access

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