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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:

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: 109

Showing 1-25 of 109 citing articles:

A comprehensive review of machine learning‐based methods in landslide susceptibility mapping
Songlin Liu, Luqi Wang, Wengang Zhang, et al.
Geological Journal (2023) Vol. 58, Iss. 6, pp. 2283-2301
Closed Access | Times Cited: 109
Utilizing Hybrid Machine Learning and Soft Computing Techniques for Landslide Susceptibility Mapping in a Drainage Basin
Yimin Mao, Yican Li, Fei Teng, et al.
Water (2024) Vol. 16, Iss. 3, pp. 380-380
Open Access | Times Cited: 40
Landslide susceptibility assessment of South Korea using stacking ensemble machine learning
Seungmin Lee, Seung Jae Lee
Geoenvironmental Disasters (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 17
Handling data imbalance in machine learning based landslide susceptibility mapping: a case study of Mandakini River Basin, North-Western Himalayas
Sharad Kumar Gupta, Dericks Praise Shukla
Landslides (2022) Vol. 20, Iss. 5, pp. 933-949
Closed Access | Times Cited: 43
BIM–GIS Integrated Utilization in Urban Disaster Management: The Contributions, Challenges, and Future Directions
Yu Cao, Cong Xu, Nur Mardhiyah Aziz, et al.
Remote Sensing (2023) Vol. 15, Iss. 5, pp. 1331-1331
Open Access | Times Cited: 40
GIS-based landslide susceptibility mapping using logistic regression, random forest and decision and regression tree models in Chattogram District, Bangladesh
Md. Sharafat Chowdhury, Md. Naimur Rahman, Md. Sujon Sheikh, et al.
Heliyon (2023) Vol. 10, Iss. 1, pp. e23424-e23424
Open Access | Times Cited: 30
Performance comparison of landslide susceptibility mapping under multiple machine-learning based models considering InSAR deformation: a case study of the upper Jinsha River
Jiaming Yao, Xin Yao, Zheng Zhao, et al.
Geomatics Natural Hazards and Risk (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 25
Comparison of tree-based ensemble learning algorithms for landslide susceptibility mapping in Murgul (Artvin), Turkey
Ziya Usta, Halil Akıncı, Alper Tunga Akın
Earth Science Informatics (2024) Vol. 17, Iss. 2, pp. 1459-1481
Open Access | Times Cited: 13
Refined landslide susceptibility mapping in township area using ensemble machine learning method under dataset replenishment strategy
Fancheng Zhao, Fasheng Miao, Yiping Wu, et al.
Gondwana Research (2024) Vol. 131, pp. 20-37
Closed Access | Times Cited: 11
Optimization of SVR and CatBoost models using metaheuristic algorithms to assess landslide susceptibility
R. S. Ajin, Samuele Segoni, Riccardo Fanti
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 8
Landslide Susceptibility Mapping Using an LSTM Model with Feature-Selecting for the Yangtze River Basin in China
Peng Zuo, Wen Zhao, Wenjun Yan, et al.
Water (2025) Vol. 17, Iss. 2, pp. 167-167
Open Access | Times Cited: 1
Landslide susceptibility assessment using information quantity and machine learning integrated models: a case study of Sichuan province, southwestern China
Pengtao Zhao, Ying Wang, Yi Xie, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 2
Closed Access | Times Cited: 1
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
Unraveling the evolution of landslide susceptibility: a systematic review of 30-years of strategic themes and trends
Aonan Dong, Jie Dou, Yonghu Fu, et al.
Geocarto International (2023) Vol. 38, Iss. 1
Open Access | Times Cited: 22
Research on the influence of different sampling resolution and spatial resolution in sampling strategy on landslide susceptibility mapping results
Xianyu Yu, Huihui Chen
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 7
Pixel-based classification method for earthquake-induced landslide mapping using remotely sensed imagery, geospatial data and temporal change information
Adel Asadi, Laurie G. Baise, Magaly Koch, et al.
Natural Hazards (2024) Vol. 120, Iss. 6, pp. 5163-5200
Closed Access | Times Cited: 7
Enhancing co-seismic landslide susceptibility, building exposure, and risk analysis through machine learning
Ajaya Pyakurel, Diwakar K.C., Bhim Kumar Dahal
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 6
Research on machine learning forecasting and early warning model for rainfall-induced landslides in Yunnan province
Jia Kang, Bingcheng Wan, Zhiqiu Gao, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 6
Assessing landscape ecological vulnerability to riverbank erosion in the Middle Brahmaputra floodplains of Assam, India using machine learning algorithms
Nirsobha Bhuyan, Haroon Sajjad, Tamal Kanti Saha, et al.
CATENA (2023) Vol. 234, pp. 107581-107581
Open Access | Times Cited: 15
Rule-based fuzzy inference system for landslide susceptibility mapping along national highway 7 in Garhwal Himalayas, India
Shubham Badola, Varun Narayan Mishra, Surya Parkash, et al.
Quaternary Science Advances (2023) Vol. 11, pp. 100093-100093
Open Access | Times Cited: 14
Integration of rotation forest and multiboost ensemble methods with forest by penalizing attributes for spatial prediction of landslide susceptible areas
Tran Xuan Bien, Mudassir Iqbal, Arshad Jamal, et al.
Stochastic Environmental Research and Risk Assessment (2023) Vol. 37, Iss. 12, pp. 4641-4660
Open Access | Times Cited: 14
Geoinformatics-based frequency ratio, analytic hierarchy process and hybrid models for landslide susceptibility zonation in Kurdistan Region, Northern Iraq
Kaiwan K. Fatah, Yaseen T. Mustafa, Imaddadin O. Hassan
Environment Development and Sustainability (2023) Vol. 26, Iss. 3, pp. 6977-7014
Closed Access | Times Cited: 13
Assessment of resampling methods on performance of landslide susceptibility predictions using machine learning in Kendari City, Indonesia
Septianto Aldiansyah, Farida Wardani
Water Practice & Technology (2024) Vol. 19, Iss. 1, pp. 52-81
Open Access | Times Cited: 5
A comparative evaluation of landslide susceptibility mapping using machine learning-based methods in Bogor area of Indonesia
Dian Nuraini Melati, Raditya Panji Umbara, Astisiasari Astisiasari, et al.
Environmental Earth Sciences (2024) Vol. 83, Iss. 3
Open Access | Times Cited: 5
Comparison of different open‐source Digital Elevation Models for landslide susceptibility mapping
Dingyang Lu, Guoan Tang, Ge Yan, et al.
Earth Surface Processes and Landforms (2024) Vol. 49, Iss. 4, pp. 1411-1427
Closed Access | Times Cited: 5
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