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:

Regional landslide susceptibility assessment based on improved semi-supervised clustering and deep learning
Yuhang Jiang, Wei Wang, Lifang Zou, et al.
Acta Geotechnica (2023) Vol. 19, Iss. 1, pp. 509-529
Closed Access | Times Cited: 14

Showing 14 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: 53

Considering the effect of non-landslide sample selection on landslide susceptibility assessment
Youchen Zhu, Deliang Sun, Haijia Wen, et al.
Geomatics Natural Hazards and Risk (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 6

Synergistic evolution of hydrological and movement characteristics of Majiagou landslide and identification of key triggering factors through interpretable machine learning
Wenmin Yao, Xin Zhang, Changdong Li, et al.
Bulletin of Engineering Geology and the Environment (2025) Vol. 84, Iss. 2
Closed Access

Review on the Artificial Intelligence-based methods in Landslide Detection and Susceptibility Assessment: Current Progress and Future Directions
Yange Li, Bangjie Fu, Yueping Yin, et al.
Intelligent geoengineering. (2024) Vol. 1, Iss. 1, pp. 1-18
Open Access | Times Cited: 3

Landslide susceptibility prediction modelling based on semi‐supervised XGBoost model
Qiangqiang Shua, Hongbin Peng, Jingkai Li
Geological Journal (2024) Vol. 59, Iss. 9, pp. 2655-2667
Closed Access | Times Cited: 2

Review on the progress and future prospects of geological disasters prediction in the era of artificial intelligence
Xiang Zhang, Minghui Zhang, Xin Liu, et al.
Natural Hazards (2024) Vol. 120, Iss. 13, pp. 11485-11525
Closed Access | Times Cited: 2

Freeze-thaw landslide susceptibility assessment and its future development on the seasonally frozen ground of the Qinghai-Tibet Plateau under warming-humidifying climate
Guo Yanchen, Zhihong Zhang, Dai Fuchu
Cold Regions Science and Technology (2024) Vol. 227, pp. 104293-104293
Closed Access | Times Cited: 1

Investigating landslide data balancing for susceptibility mapping using generative and machine learning models
Yuhang Jiang, Wei Wang, Lifang Zou, et al.
Landslides (2024)
Closed Access | Times Cited: 1

Space-time prediction of rainfall-induced shallow landslides through Artificial Neural Networks in comparison with the SLIP model
Michele Placido Antonio Gatto, Salvatore Misiano, Lorella Montrasio
Engineering Geology (2024), pp. 107822-107822
Closed Access | Times Cited: 1

Inversion of Surrounding Red-Bed Soft Rock Mechanical Parameters Based on the PSO-XGBoost Algorithm for Tunnelling Operation
Yizhe Wu, Huanling Wang, Xinyan Guo
Applied Sciences (2023) Vol. 13, Iss. 24, pp. 13341-13341
Open Access | Times Cited: 4

A Strategy for Neighboring Pixel Collaboration in Landslide Susceptibility Prediction
Xiao Wang, Di Wang, Mengmeng Zhang, et al.
Remote Sensing (2024) Vol. 16, Iss. 12, pp. 2206-2206
Open Access

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