Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Deep Learning and Machine Learning Models for Landslide Susceptibility Mapping with Remote Sensing Data
Muhammad Afaq Hussain, Zhanlong Chen, Ying Zheng, et al.
Remote Sensing (2023) Vol. 15, Iss. 19, pp. 4703-4703
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Integrating Machine Learning Ensembles for Landslide Susceptibility Mapping in Northern Pakistan
Nafees Ali, Jian Chen, Xiaodong Fu, et al.
Remote Sensing (2024) Vol. 16, Iss. 6, pp. 988-988
Open Access | Times Cited: 16
Application of Artificial Intelligence and Remote Sensing for Landslide Detection and Prediction: Systematic Review
Stephen Akosah, Ivan Gratchev, Donghyun Kim, et al.
Remote Sensing (2024) Vol. 16, Iss. 16, pp. 2947-2947
Open Access | Times Cited: 9
Improving landslide susceptibility prediction through ensemble recursive feature elimination and meta-learning framework
Krishnagopal Halder, Amit Kumar Srivastava, Anitabha Ghosh, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Landslide susceptibility mapping using artificial intelligence models: a case study in the Himalayas
Muhammad Afaq Hussain, Zhanlong Chen, Yulong Zhou, et al.
Landslides (2025)
Closed Access | Times Cited: 1
Developing a regional scale construction and demolition waste landfill landslide risk rapid assessment approach
Huanyu Wu, Qiaoqiao Yong, Jiayuan Wang, et al.
Waste Management (2024) Vol. 184, pp. 109-119
Closed Access | Times Cited: 6
Advancements in mapping landslide susceptibility in Bafoussam and its surroundings area using multi-criteria decision analysis, statistical methods, and machine learning models
Willy Stephane Segue, Isaac K. Njilah, Donald Hermann Fossi, et al.
Journal of African Earth Sciences (2024) Vol. 213, pp. 105237-105237
Closed Access | Times Cited: 5
Machine Learning-Driven Landslide Susceptibility Mapping in the Himalayan China–Pakistan Economic Corridor Region
Mohib Ullah, Bingzhe Tang, Wenchao Huangfu, et al.
Land (2024) Vol. 13, Iss. 7, pp. 1011-1011
Open Access | Times Cited: 5
Spatiotemporal changes of landslide susceptibility in response to rainfall and its future prediction — A case study of Sichuan Province, China
Hao Zheng, Mingtao Ding
Ecological Informatics (2024), pp. 102862-102862
Open Access | Times Cited: 4
Balancing method for landslide monitoring samples and construction of an early warning system
Dunlong Liu, Zhaoyang Xie, Dan Tang, et al.
Natural Hazards (2025)
Open Access
Integrated Machine Learning Approaches for Landslide Susceptibility Mapping Along the Pakistan–China Karakoram Highway
Mohib Ullah, Haijun Qiu, Wenchao Huangfu, et al.
Land (2025) Vol. 14, Iss. 1, pp. 172-172
Open Access
Comprehensive review of remote sensing integration with deep learning in landslide forecasting and future directions
Nilesh Suresh Pawar, Kul Vaibhav Sharma
Natural Hazards (2025)
Closed Access
Applications and Advancements of Spaceborne InSAR in Landslide Monitoring and Susceptibility Mapping: A Systematic Review
Y.S. Cheng, Hao Pang, Yangyang Li, et al.
Remote Sensing (2025) Vol. 17, Iss. 6, pp. 999-999
Open Access
U-shaped deep learning networks for algal bloom detection using Sentinel-2 imagery: Exploring model performance and transferability
İsmail Çölkesen, Mustafacan Saygı, Muhammed Yusuf Öztürk, et al.
Journal of Environmental Management (2025) Vol. 381, pp. 125152-125152
Closed Access
Machine learning-based rainfall-induced landslide susceptibility model and short-term early warning assessment in South Korea
Sujong Lee, Minwoo Roh, Hyun‐Woo Jo, et al.
Landslides (2025)
Open Access
Landslide susceptibility mapping using hybrid machine learning classifiers: a case study of Neelum Valley, Pakistan
Sansar Raj Meena, Muhammad Afaq Hussain, Hafiz Ullah, et al.
Bulletin of Engineering Geology and the Environment (2025) Vol. 84, Iss. 5
Closed Access
Stacking Ensemble Technique Using Optimized Machine Learning Models with Boruta–XGBoost Feature Selection for Landslide Susceptibility Mapping: A Case of Kermanshah Province, Iran
Zeynab Yousefi, Ali Asghar Alesheikh, Ali Jafari, et al.
Information (2024) Vol. 15, Iss. 11, pp. 689-689
Open Access | Times Cited: 3
Landslide susceptibility assessment through multi-model stacking and meta-learning in Poyang County, China
Yong Song, Yingxu Song, Chengnan Wang, et al.
Geomatics Natural Hazards and Risk (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 2
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
GIS-based spatial modeling of landslide susceptibility using BWM-LSI: A case study – city of Smederevo (Serbia)
Vojislav Deđanski, Uroš Durlević, Aleksandar Kovjanić, et al.
Open Geosciences (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 2
Versatility Evaluation of Landslide Risk with Window Sizes and Sampling Techniques Based on Deep Learning
Fudong Ren, Koichi Isobe
Applied Sciences (2024) Vol. 14, Iss. 22, pp. 10571-10571
Open Access | Times Cited: 2
Exploring uncertainty analysis in GIS-based Landslide susceptibility mapping models using machine learning in the Darjeeling Himalayas
Sumon Dey, Swarup Das, Abhik Saha
Earth Science Informatics (2024) Vol. 18, Iss. 1
Closed Access | Times Cited: 1
Identification and susceptibility assessment of landslide disasters in the red bed formation along the Nanjian-Jingdong Expressway
Yifan Cao, Zhifang Zhao, Mingchun Wen, et al.
Ecological Indicators (2024) Vol. 170, pp. 113002-113002
Closed Access | Times Cited: 1
A Multichannel-Based Deep Learning Framework for Ocean SAR Scene Classification
Chengzu Bai, Shuo Zhang, Xinning Wang, et al.
Applied Sciences (2024) Vol. 14, Iss. 4, pp. 1489-1489
Open Access
Improving landslide susceptibility prediction through ensemble Recursive Feature Elimination and meta-learning framework
Krishnagopal Halder, Amit Kumar Srivast, Anitabha Ghosh, et al.
Research Square (Research Square) (2024)
Open Access
Machine Learning Models for Prediction of Landslides in the Himalayas
Vikram Singh, Sanjay Tyagi
Advances in computational intelligence and robotics book series (2024), pp. 146-174
Closed Access
Page 1 - Next Page

Scroll to top