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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:

Remote Sensing for Landslide Investigations: An Overview of Recent Achievements and Perspectives
Marco Scaioni, Laura Longoni, Valentina Melillo, et al.
Remote Sensing (2014) Vol. 6, Iss. 10, pp. 9600-9652
Open Access | Times Cited: 374

Showing 26-50 of 374 citing articles:

Landslide Mapping in Vegetated Areas Using Change Detection Based on Optical and Polarimetric SAR Data
Simon Plank, André Twele, Sandro Martinis
Remote Sensing (2016) Vol. 8, Iss. 4, pp. 307-307
Open Access | Times Cited: 102
Mapping an earthquake-induced landslide based on UAV imagery; case study of the 2015 Okeanos landslide, Lefkada, Greece
Sotiris Valkaniotis, George Papathanassiou, Athanassios Ganas
Engineering Geology (2018) Vol. 245, pp. 141-152
Closed Access | Times Cited: 101
Application of Bivariate and Multivariate Statistical Techniques in Landslide Susceptibility Modeling in Chittagong City Corporation, Bangladesh
Bayes Ahmed, Ashraf Dewan
Remote Sensing (2017) Vol. 9, Iss. 4, pp. 304-304
Open Access | Times Cited: 98
Integration of Information Theory, K-Means Cluster Analysis and the Logistic Regression Model for Landslide Susceptibility Mapping in the Three Gorges Area, China
Qian Wang, Yi Wang, Ruiqing Niu, et al.
Remote Sensing (2017) Vol. 9, Iss. 9, pp. 938-938
Open Access | Times Cited: 97
A New Mask R-CNN-Based Method for Improved Landslide Detection
Silvia Liberata Ullo, Amrita Mohan, Alessandro Sebastianelli, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2021) Vol. 14, pp. 3799-3810
Open Access | Times Cited: 97
Landslide detection by deep learning of non-nadiral and crowdsourced optical images
Filippo Catani
Landslides (2020) Vol. 18, Iss. 3, pp. 1025-1044
Open Access | Times Cited: 96
Mapping Vulnerable Urban Areas Affected by Slow-Moving Landslides Using Sentinel-1 InSAR Data
Marta Béjar‐Pizarro, Davide Notti, Rosa M. Mateos, et al.
Remote Sensing (2017) Vol. 9, Iss. 9, pp. 876-876
Open Access | Times Cited: 94
Unmanned Aerial Systems and DSM matching for rock glacier monitoring
Elisa Dall’Asta, G. Forlani, R. Roncella, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2016) Vol. 127, pp. 102-114
Closed Access | Times Cited: 93
Post-failure evolution analysis of a rainfall-triggered landslide by multi-temporal interferometry SAR approaches integrated with geotechnical analysis
Pierluigi Confuorto, Diego Di Martire, Giuseppe Centolanza, et al.
Remote Sensing of Environment (2016) Vol. 188, pp. 51-72
Open Access | Times Cited: 93
The importance of input data on landslide susceptibility mapping
Krzysztof Gaidzik, María Teresa Ramírez‐Herrera
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 90
Evaluation of Remotely Sensed Soil Moisture for Landslide Hazard Assessment
Lu Zhuo, Qiang Dai, Dawei Han, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2019) Vol. 12, Iss. 1, pp. 162-173
Open Access | Times Cited: 83
Recent technological and methodological advances for the investigation of landslide dams
Xuanmei Fan, Anja Dufresne, Jim Whiteley, et al.
Earth-Science Reviews (2021) Vol. 218, pp. 103646-103646
Open Access | Times Cited: 78
Landslide Detection Using Densely Connected Convolutional Networks and Environmental Conditions
Haojie Cai, Tao Chen, Ruiqing Niu, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2021) Vol. 14, pp. 5235-5247
Open Access | Times Cited: 74
Landslide Susceptibility Mapping Using Machine Learning Algorithm Validated by Persistent Scatterer In-SAR Technique
Muhammad Afaq Hussain, Zhanlong Chen, Ying Zheng, et al.
Sensors (2022) Vol. 22, Iss. 9, pp. 3119-3119
Open Access | Times Cited: 61
Landslide Segmentation with Deep Learning: Evaluating Model Generalization in Rainfall-Induced Landslides in Brazil
Lucas Pedrosa Soares, Helen Cristina Dias, Guilherme Pereira Bento Garcia, et al.
Remote Sensing (2022) Vol. 14, Iss. 9, pp. 2237-2237
Open Access | Times Cited: 49
Review of Landslide Monitoring Techniques With IoT Integration Opportunities
T. Hemalatha, Sebastian Uhlemann, Reshma Reghunadh, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2022) Vol. 15, pp. 5317-5338
Open Access | Times Cited: 46
SBAS-InSAR based validated landslide susceptibility mapping along the Karakoram Highway: a case study of Gilgit-Baltistan, Pakistan
Isma Kulsoom, Weihua Hua, Sadaqat Hussain, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 42
Landslide monitoring techniques in the Geological Surveys of Europe
Mateja Jemec Auflič, Gerardo Herrera, Rosa Marìa Mateos, et al.
Landslides (2023) Vol. 20, Iss. 5, pp. 951-965
Open Access | Times Cited: 41
Use of Machine Learning and Remote Sensing Techniques for Shoreline Monitoring: A Review of Recent Literature
Chrysovalantis-Antonios D. Tsiakos, Christos Chalkias
Applied Sciences (2023) Vol. 13, Iss. 5, pp. 3268-3268
Open Access | Times Cited: 40
ShapeFormer: A Shape-Enhanced Vision Transformer Model for Optical Remote Sensing Image Landslide Detection
Pengyuan Lv, Lusha Ma, Qiaomin Li, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023) Vol. 16, pp. 2681-2689
Open Access | Times Cited: 32
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
Identification and evaluation of the high mountain upper slope potential landslide based on multi-source remote sensing: the Aniangzhai landslide case study
Keren Dai, Zhiyu Li, Qiang Xu, et al.
Landslides (2023) Vol. 20, Iss. 7, pp. 1405-1417
Closed Access | Times Cited: 25
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: 17
A cost-effective image-based system for 3D geomorphic monitoring: An application to rockfalls
Xabier Blanch, Marta Guinau, Anette Eltner, et al.
Geomorphology (2024) Vol. 449, pp. 109065-109065
Open Access | Times Cited: 9
InSAR-YOLOv8 for wide-area landslide detection in InSAR measurements
Ruopu Ma, Haiyang Yu, Xuejie Liu, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1

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