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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 Study of Convolutional Neural Network and Conventional Machine Learning Methods for Landslide Susceptibility Mapping
Rui Liu, Xin Yang, Chong Xu, et al.
Remote Sensing (2022) Vol. 14, Iss. 2, pp. 321-321
Open Access | Times Cited: 57

Showing 1-25 of 57 citing articles:

Landslide Susceptibility Mapping Using Machine Learning: A Literature Survey
Moziihrii Ado, Khwairakpam Amitab, Arnab Kumar Maji, et al.
Remote Sensing (2022) Vol. 14, Iss. 13, pp. 3029-3029
Open Access | Times Cited: 103
Land use and land cover classification with hyperspectral data: A comprehensive review of methods, challenges and future directions
Mohammed Abdulmajeed Moharram, Divya Meena Sundaram
Neurocomputing (2023) Vol. 536, pp. 90-113
Closed Access | Times Cited: 72
Assessment of the performance of GIS-based analytical hierarchical process (AHP) approach for flood modelling in Uttar Dinajpur district of West Bengal, India
Rajib Mitra, Piu Saha, Jayanta Das
Geomatics Natural Hazards and Risk (2022) Vol. 13, Iss. 1, pp. 2183-2226
Open Access | Times Cited: 62
Novel evolutionary-optimized neural network for predicting landslide susceptibility
Rana Muhammad Adnan Ikram, Imran Khan, Hossein Moayedi, et al.
Environment Development and Sustainability (2023) Vol. 26, Iss. 7, pp. 17687-17719
Closed Access | Times Cited: 24
A new combined approach of neural-metaheuristic algorithms for predicting and appraisal of landslide susceptibility mapping
Hossein Moayedi, Atefeh Ahmadi Dehrashid
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 34, pp. 82964-82989
Open Access | Times Cited: 23
An essential update on the inventory of landslides triggered by the Jiuzhaigou Mw6.5 earthquake in China on 8 August 2017, with their spatial distribution analyses
Jingjing Sun, Xiaoyi Shao, Liye Feng, et al.
Heliyon (2024) Vol. 10, Iss. 2, pp. e24787-e24787
Open Access | Times Cited: 11
Global Dynamic Rainfall-Induced Landslide Susceptibility Mapping Using Machine Learning
Bohao Li, Kai Liu, Ming Wang, et al.
Remote Sensing (2022) Vol. 14, Iss. 22, pp. 5795-5795
Open Access | Times Cited: 31
Robust Estimation of Landslide Displacement From Multitemporal UAV Photogrammetry-Derived Point Clouds
Haiqing He, Zaiyang Ming, Jianqiang Zhang, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 6627-6641
Open Access | Times Cited: 7
A Knowledge-Guided Approach for Landslide Susceptibility Mapping Using Convolutional Neural Network and Graph Contrastive Learning
Huimin Liu, Qixuan Ding, Xuexi Yang, et al.
Sustainability (2024) Vol. 16, Iss. 11, pp. 4547-4547
Open Access | Times Cited: 7
Identifying recurrent and persistent landslides using satellite imagery and deep learning: A 30-year analysis of the Himalaya
Tzu‐Hsin Karen Chen, Mark Kincey, Nick Rosser, et al.
The Science of The Total Environment (2024) Vol. 922, pp. 171161-171161
Open Access | Times Cited: 5
Machine Learning-assisted Investigation of Landslide Susceptibility for Aglar Watershed in the Lesser Himalaya Region
Dipika Keshri, Shovan Lal Chattoraj, Rakesh Kumar Pandey, et al.
Journal of the Geological Society of India (2025) Vol. 101, Iss. 3, pp. 384-396
Closed Access
Deep Learning for Earthquake Disaster Assessment: Objects, Data, Models, Stages, Challenges, and Opportunities
Jing Jia, Wenjie Ye
Remote Sensing (2023) Vol. 15, Iss. 16, pp. 4098-4098
Open Access | Times Cited: 14
Landslide Research from the Perspectives of Qinling Mountains in China: A Critical Review
Liye Feng, Wenwen Qi, Chong Xu, et al.
Journal of Earth Science (2024) Vol. 35, Iss. 5, pp. 1546-1567
Closed Access | Times Cited: 5
Optimizing groundwater potential assessment: uncertainty reduction through sample balancing and enhanced hybrid modeling
Rui Liu, Juncheng Gou, Jialiang Han, et al.
Stochastic Environmental Research and Risk Assessment (2025)
Closed Access
Changes in the Distribution of Thermokarst Lakes on the Qinghai-Tibet Plateau from 2015 to 2020
Robert P. Wei, Xia Hu, Shaojie Zhao
Remote Sensing (2025) Vol. 17, Iss. 7, pp. 1174-1174
Open Access
What are the spatial distribution characteristics of the 4417 landslides in Minhe County, Qinghai Province, China?
Qinxia Wang, Chong Xu
Frontiers in Earth Science (2025) Vol. 13
Open Access
Landslide susceptibility mapping based on CNN-3D algorithm with attention module embedded
Zhiqiang Yang, Chong Xu, Xiaoyi Shao, et al.
Bulletin of Engineering Geology and the Environment (2022) Vol. 81, Iss. 10
Closed Access | Times Cited: 20
3DCNN landslide susceptibility considering spatial-factor features
Mengmeng Liu, Jiping Liu, Shenghua Xu, et al.
Frontiers in Environmental Science (2023) Vol. 11
Open Access | Times Cited: 12
A Comparative Study of Shallow Machine Learning Models and Deep Learning Models for Landslide Susceptibility Assessment Based on Imbalanced Data
Shiluo Xu, Yingxu Song, Xiulan Hao
Forests (2022) Vol. 13, Iss. 11, pp. 1908-1908
Open Access | Times Cited: 17
FR-weighted GeoDetector for landslide susceptibility and driving factors analysis
Linya Peng, Yangjie Sun, Zhao Zhan, et al.
Geomatics Natural Hazards and Risk (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 9
Learning a Deep Attention Dilated Residual Convolutional Neural Network for Landslide Susceptibility Mapping in Hanzhong City, Shaanxi Province, China
Yu Ma, Shenghua Xu, Tao Jiang, et al.
Remote Sensing (2023) Vol. 15, Iss. 13, pp. 3296-3296
Open Access | Times Cited: 9
Open-Pit Mining Area Extraction from High-Resolution Remote Sensing Images Based on EMANet and FC-CRF
Zili Ren, Liguan Wang, Zhengxiang He
Remote Sensing (2023) Vol. 15, Iss. 15, pp. 3829-3829
Open Access | Times Cited: 9
A Novel Heterogeneous Ensemble Framework Based on Machine Learning Models for Shallow Landslide Susceptibility Mapping
Haozhe Tang, Changming Wang, Silong An, et al.
Remote Sensing (2023) Vol. 15, Iss. 17, pp. 4159-4159
Open Access | Times Cited: 9
Groundwater potential delineation using geodetector based convolutional neural network in the Gunabay watershed of Ethiopia
Asnakew Mulualem Tegegne, Tarun Kumar Lohani, Abunu Atlabachew Eshete
Environmental Research (2023) Vol. 242, pp. 117790-117790
Closed Access | Times Cited: 9
Impact of Vegetation Differences on Shallow Landslides: A Case Study in Aso, Japan
Hiroki Asada, Tomoko MINAGAWA
Water (2023) Vol. 15, Iss. 18, pp. 3193-3193
Open Access | Times Cited: 8
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