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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:

Comparative analysis of five convolutional neural networks for landslide susceptibility assessment
Yunfeng Ge, Geng Liu, Huiming Tang, et al.
Bulletin of Engineering Geology and the Environment (2023) Vol. 82, Iss. 10
Closed Access | Times Cited: 18

Showing 18 citing articles:

A Deep Learning Framework for Corrosion Assessment of Steel Structures Using Inception v3 Model
Xinghong Huang, Zhenhua Duan, Shaojin Hao, et al.
Buildings (2025) Vol. 15, Iss. 4, pp. 512-512
Open Access | Times Cited: 2
Landslide Susceptibility Mapping Considering Landslide Local-Global Features Based on CNN and Transformer
Zeyang Zhao, Tao Chen, Jie Dou, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 7475-7489
Open Access | Times Cited: 13
Application of artificial intelligence in three aspects of landslide risk assessment: A comprehensive review
Rongjie He, Wengang Zhang, Jie Dou, et al.
Rock Mechanics Bulletin (2024) Vol. 3, Iss. 4, pp. 100144-100144
Open Access | Times Cited: 10
Landslide Susceptibility Evaluation of Southeastern Çanakkale Strait (NW Türkiye) Using Logistic Regression, Artificial Neural Network and Support Vector Machine
Samet Berber, Murat Ercanoğlu, Şener Ceryan
Iranian Journal of Science and Technology Transactions of Civil Engineering (2024) Vol. 48, Iss. 6, pp. 4575-4591
Closed Access | Times Cited: 4
Global Dynamic Landslide Susceptibility Modeling Based on ResNet18: Revealing Large-Scale Landslide Hazard Evolution Trends in China
Hui Jiang, Mingtao Ding, Liangzhi Li, et al.
Applied Sciences (2025) Vol. 15, Iss. 4, pp. 2038-2038
Open Access
Multi-scenario landslide probabilistic hazard analysis based on a single rainfall event: A case of the Zhuzhou-Guangzhou section of Beijing-Guangzhou railway in China
Zhiwen Xue, Chong Xu, Jiale Jin, et al.
Research Square (Research Square) (2025)
Closed Access
Landslide Identification from Post-Earthquake High-Resolution Remote Sensing Images Based on ResUNet–BFA
Zhenyu Zhao, Shucheng Tan, Yiquan Yang, et al.
Remote Sensing (2025) Vol. 17, Iss. 6, pp. 995-995
Open Access
Earthquake-induced landslide prediction using a semi-supervised incremental learning strategy
Ying Zeng, Yingbin Zhang, Jing Liu
Bulletin of Engineering Geology and the Environment (2025) Vol. 84, Iss. 5
Closed Access
Debris-flow susceptibility assessment using deep learning algorithms with GeoDetector for factor optimization
Kun Li, Junsan Zhao, Guoping Chen, et al.
Bulletin of Engineering Geology and the Environment (2025) Vol. 84, Iss. 6
Closed Access
Risk Mapping of Geological Hazards in Plateau Mountainous Areas Based on Multisource Remote Sensing Data Extraction and Machine Learning (Fuyuan, China)
Shaohan Zhang, Shucheng Tan, Yongqi Sun, et al.
Land (2024) Vol. 13, Iss. 9, pp. 1361-1361
Open Access | Times Cited: 2
Collapse Susceptibility Assessment in Taihe Town Based on Convolutional Neural Network and Information Value Method
Houlu Li, Bill X. Hu, Lin Bo, et al.
Water (2024) Vol. 16, Iss. 5, pp. 709-709
Open Access | Times Cited: 1
Modeling of landslides susceptibility prediction using deep belief networks with optimized learning rate control
Qiang Liu, Namkha Norbu
Geocarto International (2024) Vol. 39, Iss. 1
Open Access | Times Cited: 1
Rain-Induced Landslide Hazard Assessment Using Inception Model and Interpretability Method—A Case Study of Zayu County, Tibet
Leyi Su, Yuannan Gui, Lu Xu, et al.
Applied Sciences (2024) Vol. 14, Iss. 12, pp. 5324-5324
Open Access | Times Cited: 1
Exploring advanced machine learning techniques for landslide susceptibility mapping in Yanchuan County, China
Wei Chen, Chao Guo, Fanghao Lin, et al.
Earth Science Informatics (2024) Vol. 17, Iss. 6, pp. 5385-5402
Closed Access | Times Cited: 1
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
Enhanced Landslide Susceptibility Mapping Using Machine Learning and InSAR Integration: A Case Study in Wushan County, Three Gorges Reservoir Area, China
Jinhu Cui, Pinglang Kou, Yuxiang Tao, et al.
Research Square (Research Square) (2024)
Open Access
Spatio-temporal forecasting of landslide hazard in Chongqing National Transmission Protection Regions, China
Bijing Jin, Shuhao Liu, Taorui Zeng, et al.
International Journal of Digital Earth (2024) Vol. 17, Iss. 1
Open Access
Integrating Physical and Machine Learning Models for Enhanced Landslide Prediction in Data-Scarce Environments
Husam A. H. Al-Najjar, Biswajeet Pradhan, Xuzhen He, et al.
Earth Systems and Environment (2024)
Closed Access
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