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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 index based on the integration of logistic regression and weights of evidence: A case study in Popayan, Colombia
Paul Goyes-Peñafiel, Alejandra Hernandez-Rojas
Engineering Geology (2020) Vol. 280, pp. 105958-105958
Closed Access | Times Cited: 79

Showing 1-25 of 79 citing articles:

Multi-hazard susceptibility mapping based on Convolutional Neural Networks
Kashif Ullah, Yi Wang, Zhice Fang, et al.
Geoscience Frontiers (2022) Vol. 13, Iss. 5, pp. 101425-101425
Open Access | Times Cited: 91
Uncertainty analysis of non-landslide sample selection in landslide susceptibility prediction using slope unit-based machine learning models
Zhilu Chang, Jinsong Huang, Faming Huang, et al.
Gondwana Research (2023) Vol. 117, pp. 307-320
Closed Access | Times Cited: 76
Spatial and temporal landslide distributions using global and open landslide databases
Derly Gómez, Edwin Fabián García Aristizábal, Édier Aristizábal
Natural Hazards (2023) Vol. 117, Iss. 1, pp. 25-55
Open Access | Times Cited: 56
How do the landslide and non-landslide sampling strategies impact landslide susceptibility assessment? — A catchment-scale case study from China
Zizheng Guo, Bixia Tian, Yuhang Zhu, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2024) Vol. 16, Iss. 3, pp. 877-894
Open Access | Times Cited: 36
PSLSA v2.0: An automatic Python package integrating machine learning models for regional landslide susceptibility assessment
Zizheng Guo, Haojie Wang, Jun He, et al.
Environmental Modelling & Software (2025) Vol. 186, pp. 106367-106367
Closed Access | Times Cited: 5
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: 33
Landslide Susceptibility Assessment Using the Analytic Hierarchy Process (AHP): A Case Study of a Construction Site for Photovoltaic Power Generation in Yunxian County, Southwest China
Jinxuan Zhou, Shucheng Tan, Jun Li, et al.
Sustainability (2023) Vol. 15, Iss. 6, pp. 5281-5281
Open Access | Times Cited: 25
Landslide susceptibility, ensemble machine learning, and accuracy methods in the southern Sinai Peninsula, Egypt: Assessment and Mapping
Ahmed M. Youssef, Bosy A. El‐Haddad, Hariklia D. Skilodimou, et al.
Natural Hazards (2024)
Closed Access | Times Cited: 15
Landslide Risk Prediction Model Using an Attention-Based Temporal Convolutional Network Connected to a Recurrent Neural Network
Di Zhang, Jiacheng Yang, Feng-Lin Li, et al.
IEEE Access (2022) Vol. 10, pp. 37635-37645
Open Access | Times Cited: 31
An Efficient User-Friendly Integration Tool for Landslide Susceptibility Mapping Based on Support Vector Machines: SVM-LSM Toolbox
Wubiao Huang, Mingtao Ding, Zhenhong Li, et al.
Remote Sensing (2022) Vol. 14, Iss. 14, pp. 3408-3408
Open Access | Times Cited: 31
Landslide susceptibility assessment in multiple urban slope settings with a landslide inventory augmented by InSAR techniques
Li Chen, Peifeng Ma, Chang Yeon Yu, et al.
Engineering Geology (2023) Vol. 327, pp. 107342-107342
Closed Access | Times Cited: 22
Integration of Vulnerability and Hazard Factors for Landslide Risk Assessment
Patricia Arrogante‐Funes, Adrián G. Bruzón, Fátima Arrogante‐Funes, et al.
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 22, pp. 11987-11987
Open Access | Times Cited: 34
Potential landslides identification based on temporal and spatial filtering of SBAS-InSAR results
Jiahui Dong, Ruiqing Niu, Bingquan Li, et al.
Geomatics Natural Hazards and Risk (2022) Vol. 14, Iss. 1, pp. 52-75
Open Access | Times Cited: 28
To explore the optimal solution of different mapping units and classifiers and their application in the susceptibility evaluation of slope geological disasters
Shaohan Zhang, Shucheng Tan, Haishan Wang, et al.
Ecological Indicators (2024) Vol. 163, pp. 112073-112073
Open Access | Times Cited: 5
Landslide susceptibility evaluation based on active deformation and graph convolutional network algorithm
Xianmin Wang, Aiheng Du, Fengchang Hu, et al.
Frontiers in Earth Science (2023) Vol. 11
Open Access | Times Cited: 13
Landslide Susceptibility Mapping Based on Resampling Method and FR-CNN: A Case Study of Changdu
Zili Qin, Xinyao Zhou, Mengyao Li, et al.
Land (2023) Vol. 12, Iss. 6, pp. 1213-1213
Open Access | Times Cited: 13
Performance Comparison of Landslide Susceptibility Maps Derived from Logistic Regression and Random Forest Models in the Bolaman Basin, Türkiye
Zehra Kaya Topaçli, Adem Kursat Ozcan, Candan Gökçeoğlu
Natural Hazards Review (2023) Vol. 25, Iss. 1
Closed Access | Times Cited: 12
An innovative method for landslide susceptibility mapping supported by fractal theory, GeoDetector, and random forest: a case study in Sichuan Province, SW China
Zhuo Chen, Danqing Song, Lihu Dong
Natural Hazards (2023) Vol. 118, Iss. 3, pp. 2543-2568
Open Access | Times Cited: 11
An ensemble approach of bi-variate statistical models with soft-computing techniques for GIS-based landslide susceptibility zonation in the Kalimpong region of Darjeeling Himalaya, India
Suvam Das, Shantanu Sarkar, Debi Prasanna Kanungo
Environment Development and Sustainability (2024)
Closed Access | Times Cited: 4
Machine learning prediction of mechanical properties of bamboo by hemicelluloses removal
C. T. DU, Jianan Li, Min Ruan, et al.
Industrial Crops and Products (2024) Vol. 222, pp. 119934-119934
Closed Access | Times Cited: 4
On the rainfall induced deep-seated and shallow landslide hazard in Taiwan
Keh‐Jian Shou, Jinru Chen
Engineering Geology (2021) Vol. 288, pp. 106156-106156
Closed Access | Times Cited: 27
Landslide Susceptibility Assessment Using an AutoML Framework
Adrián G. Bruzón, Patricia Arrogante‐Funes, Fátima Arrogante‐Funes, et al.
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 20, pp. 10971-10971
Open Access | Times Cited: 27
Landslide Susceptibility Prediction Based on Positive Unlabeled Learning Coupled With Adaptive Sampling
Zhice Fang, Yi Wang, Ruiqing Niu, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2021) Vol. 14, pp. 11581-11592
Open Access | Times Cited: 24
Analysis of human exposure to landslides with a GIS multiscale approach
Sirio Modugno, Sarah Johnson, Pasquale Borrelli, et al.
Natural Hazards (2022) Vol. 112, Iss. 1, pp. 387-412
Open Access | Times Cited: 19
Landslide Susceptibility Mapping with Integrated SBAS-InSAR Technique: A Case Study of Dongchuan District, Yunnan (China)
Zhifu Zhu, Shu Gan, Xiping Yuan, et al.
Sensors (2022) Vol. 22, Iss. 15, pp. 5587-5587
Open Access | Times Cited: 19
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