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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:

GIS-Based Landslide Susceptibility Mapping for Land Use Planning and Risk Assessment
Anna Roccati, Guido Paliaga, Fabio Luino, et al.
Land (2021) Vol. 10, Iss. 2, pp. 162-162
Open Access | Times Cited: 110

Showing 1-25 of 110 citing articles:

Landslide susceptibility mapping using CNN-1D and 2D deep learning algorithms: comparison of their performance at Asir Region, KSA
Ahmed M. Youssef, Biswajeet Pradhan, Abhirup Dikshit, et al.
Bulletin of Engineering Geology and the Environment (2022) Vol. 81, Iss. 4
Closed Access | Times Cited: 67
A dual-encoder U-Net for landslide detection using Sentinel-2 and DEM data
Wei Lü, Dafang Zhuang, Zuopei Zhang, et al.
Landslides (2023) Vol. 20, Iss. 9, pp. 1975-1987
Closed Access | Times Cited: 28
A Multi-Criteria Decision Analysis (MCDA) Approach for Landslide Susceptibility Mapping of a Part of Darjeeling District in North-East Himalaya, India
Abhik Saha, Vasanta Govind Kumar Villuri, Ashutosh Bhardwaj, et al.
Applied Sciences (2023) Vol. 13, Iss. 8, pp. 5062-5062
Open Access | Times Cited: 25
High-Resolution Lidar-Derived DEM for Landslide Susceptibility Assessment Using AHP and Fuzzy Logic in Serdang, Malaysia
Okoli Jude Emeka, Haslinda Nahazanan, Faten Nahas, et al.
Geosciences (2023) Vol. 13, Iss. 2, pp. 34-34
Open Access | Times Cited: 23
Exploring machine learning and statistical approach techniques for landslide susceptibility mapping in Siwalik Himalayan Region using geospatial technology
Abhik Saha, Lakshya Tripathi, Vasanta Govind Kumar Villuri, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 7, pp. 10443-10459
Closed Access | Times Cited: 13
Landslide susceptibility modeling in the Kulfo river catchment, rift valley, Ethiopia: An integrated geospatial and statistical analysis
Tsedal Mulugeta, Leulalem Shano, Muralitharan Jothimani
Quaternary Science Advances (2024) Vol. 14, pp. 100191-100191
Open Access | Times Cited: 10
Assessment of the effects of characterization methods selection on the landslide susceptibility: a comparison between logistic regression (LR), naive bayes (NB) and radial basis function network (RBF Network)
Hui Shang, Lixiang Su, Yang Liu, et al.
Bulletin of Engineering Geology and the Environment (2025) Vol. 84, Iss. 3
Closed Access | Times Cited: 1
Advanced machine learning techniques for enhanced landslide susceptibility mapping: Integrating geotechnical parameters in the case of Southwestern Cyprus
Ploutarchos Tzampoglou, Dimitrios Loukidis, Aristodemos Anastasiades, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 2
Open Access | Times Cited: 1
Predicting landslide susceptibility based on decision tree machine learning models under climate and land use changes
Quoc Bao Pham, Subodh Chandra Pal, Rabin Chakrabortty, et al.
Geocarto International (2021) Vol. 37, Iss. 25, pp. 7881-7907
Closed Access | Times Cited: 48
A review on spatial, temporal and magnitude prediction of landslide hazard
Ankit Tyagi, Reet Kamal Tiwari, Naveen James
Journal of Asian Earth Sciences X (2022) Vol. 7, pp. 100099-100099
Open Access | Times Cited: 36
Development and Assessment of GIS-Based Landslide Susceptibility Mapping Models Using ANN, Fuzzy-AHP, and MCDA in Darjeeling Himalayas, West Bengal, India
Abhik Saha, Vasanta Govind Kumar Villuri, Ashutosh Bhardwaj
Land (2022) Vol. 11, Iss. 10, pp. 1711-1711
Open Access | Times Cited: 30
Performance assessment of the landslide susceptibility modelling using the support vector machine, radial basis function network, and weight of evidence models in the N'fis river basin, Morocco
Hassan Ait Naceur, Hazem Ghassan Abdo, Brahim Igmoullan, et al.
Geoscience Letters (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 29
Landslide susceptibility mapping using automatically constructed CNN architectures with pre-slide topographic DEM of deep-seated catastrophic landslides caused by Typhoon Talas
Teruyuki Kikuchi, Koki Sakita, Satoshi Nishiyama, et al.
Natural Hazards (2023) Vol. 117, Iss. 1, pp. 339-364
Open Access | Times Cited: 21
Development and assessment of a novel hybrid machine learning-based landslide susceptibility mapping model in the Darjeeling Himalayas
Abhik Saha, Vasanta Govind Kumar Villuri, Ashutosh Bhardwaj
Stochastic Environmental Research and Risk Assessment (2023)
Closed Access | Times Cited: 19
Spatial assessment of landslide susceptibility mapping generated by fuzzy-AHP and decision tree approaches
Fikret SAYGIN, Yasemin ŞİŞMAN, Orhan Dengi̇z, et al.
Advances in Space Research (2023) Vol. 71, Iss. 12, pp. 5218-5235
Closed Access | Times Cited: 17
Monitoring Slope Movement and Soil Hydrologic Behavior Using IoT and AI Technologies: A Systematic Review
Md. Jobair Bin Alam, Luis Salgado Manzano, Rahul Debnath, et al.
Hydrology (2024) Vol. 11, Iss. 8, pp. 111-111
Open Access | Times Cited: 7
Characteristics of loess landslides triggered by different factors in the Chinese Loess Plateau
Zhenjiang Meng, Penghui Ma, Jianbing Peng
Journal of Mountain Science (2021) Vol. 18, Iss. 12, pp. 3218-3229
Closed Access | Times Cited: 38
A Quantitative GIS and AHP Based Analysis for Geodiversity Assessment and Mapping
Andrea Ferrando, Francesco Faccini, Guido Paliaga, et al.
Sustainability (2021) Vol. 13, Iss. 18, pp. 10376-10376
Open Access | Times Cited: 35
Landslide hazard, susceptibility and risk assessment (HSRA) based on remote sensing and GIS data models: a case study of Muzaffarabad Pakistan
Muhammad Nasar Ahmad, Zhenfeng Shao, Rana Waqar Aslam, et al.
Stochastic Environmental Research and Risk Assessment (2022) Vol. 36, Iss. 12, pp. 4041-4056
Open Access | Times Cited: 24
Multi-hazard susceptibility mapping of cryospheric hazards in a high-Arctic environment: Svalbard Archipelago
Ionuţ Cristi Nicu, Letizia Elia, Lena Rubensdotter, et al.
Earth system science data (2023) Vol. 15, Iss. 1, pp. 447-464
Open Access | Times Cited: 15
Deep learning to assess the effects of land use/land cover and climate change on landslide susceptibility in the Tra Khuc river basin of Vietnam
Quan Vu Viet Du, Huu Duy Nguyen, Viet Thanh Pham, et al.
Geocarto International (2023) Vol. 38, Iss. 1
Open Access | Times Cited: 15
Remote sensing and GIS-based landslide susceptibility mapping using LNRF method in part of Western Ghats of India
Abhijit S. Patil, Sachin S. Panhalkar
Quaternary Science Advances (2023) Vol. 11, pp. 100095-100095
Open Access | Times Cited: 14
Analysis of landslide explicative factors and susceptibility mapping in an andean context: The case of Azuay province (Ecuador)
Sandra Lucía Cobos Mora, Víctor Rodríguez‐Galiano, Aracely Lima
Heliyon (2023) Vol. 9, Iss. 9, pp. e20170-e20170
Open Access | Times Cited: 14
GIS analysis of urban ground collapse susceptibility: a case study of eastern Hangzhou, China
Liling Zhou, Xiaoyi Zhang, Huizhen Shen, et al.
Frontiers in Earth Science (2024) Vol. 11
Open Access | Times Cited: 6
Incremental learning-random forest model-based landslide susceptibility analysis: A case of Ganzhou City, China
Xu Wang, Wen Nie, Wei Xie, et al.
Earth Science Informatics (2024) Vol. 17, Iss. 2, pp. 1645-1661
Closed Access | Times Cited: 5
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