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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:

A multi-step hazard assessment for debris-flow prone areas influenced by hydroclimatic events
Victor Carvalho Cabral, Fábio Augusto Gomes Vieira Reis, Vinícius Queiroz Veloso, et al.
Engineering Geology (2022) Vol. 313, pp. 106961-106961
Closed Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

3D-SPH-DEM coupling simulation for the large deformation failure process of check dams under debris flow impact incorporating the nonlinear collision-constraint bond model
Zheng Han, Wendu Xie, Fan Yang, et al.
Engineering Analysis with Boundary Elements (2024) Vol. 167, pp. 105877-105877
Closed Access | Times Cited: 6
National-scale assessment of railways exposure to rapid flow-like landslides
Ivan Marchesini, Omar F. Althuwaynee, Michele Santangelo, et al.
Engineering Geology (2024) Vol. 332, pp. 107474-107474
Open Access | Times Cited: 5
Morphometric analysis of debris flow hazard and risk assessment in the mountain terrains of northern Pakistan using remote sensing and field data
Nisar Ali Shah, Muhammad Shafique, Lewis A. Owen, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 3
Closed Access
The dynamics of debris-flow events in Southeast Brazil
Victor Carvalho Cabral, Fábio Augusto Gomes Vieira Reis, Vinícius Queiroz Veloso, et al.
Journal of South American Earth Sciences (2025), pp. 105523-105523
Closed Access
Hazard assessment of debris-flow-prone watersheds in Cubatão, São Paulo State, Brazil
Vinícius Queiroz Veloso, Fábio Augusto Gomes Vieira Reis, Victor Carvalho Cabral, et al.
Natural Hazards (2023) Vol. 116, Iss. 3, pp. 3119-3138
Open Access | Times Cited: 11
Identifying the essential influencing factors of landslide susceptibility models based on hybrid-optimized machine learning with different grid resolutions: a case of Sino-Pakistani Karakorum Highway
Jiao Wu, Ya Zhang, Yang Liu, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 45, pp. 100675-100700
Closed Access | Times Cited: 11
Image classification for sub-surface crack identification in concrete dam based on borehole CCTV images using deep dense hybrid model
Qianwei Dai, Muhammad Ishfaque, Saif Ur Rehman Khan, et al.
Stochastic Environmental Research and Risk Assessment (2024)
Closed Access | Times Cited: 4
Examining the Influence of Different Inventories on Shallow Landslide Susceptibility Modeling: An Assessment Using Machine Learning and Statistical Approaches
Helen Cristina Dias, Daniel Hölbling, Carlos Henrique Grohmann
Geosciences (2025) Vol. 15, Iss. 3, pp. 77-77
Open Access
Brazil Proposal for real-time rainfall monitoring of gravitational mass movements in Serra do Mar, SP
Vinícius Queiroz Veloso, Fábio Augusto Gomes Vieira Reis, Victor Carvalho Cabral, et al.
Landslides (2025)
Closed Access
Risk Assessment and Prevention Planning for Collapse Geological Hazards Considering Extreme Rainfall—A Case Study of Laoshan District in Eastern China
Peng Yu, Jie Dong, Hongwei Hao, et al.
Land (2023) Vol. 12, Iss. 8, pp. 1558-1558
Open Access | Times Cited: 10
Application of the debris-flow hazard index for pipelines in the context of the hydrogeological disaster of February 2023 in São Sebastião, Serra do Mar, Brazil
Vinícius Queiroz Veloso, Fábio Augusto Gomes Vieira Reis, Victor Carvalho Cabral, et al.
Landslides (2024)
Closed Access | Times Cited: 3
Debris Flow Classification and Risk Assessment Based on Combination Weighting Method and Cluster Analysis: A Case Study of Debris Flow Clusters in Longmenshan Town, Pengzhou, China
Yuanzheng Li, Shen Junhui, Meng Huang, et al.
Applied Sciences (2023) Vol. 13, Iss. 13, pp. 7551-7551
Open Access | Times Cited: 7
Development and application of an integrated methodology for post‐disaster field investigation of debris floods
Po Yang, Xiekang Wang, Dongya Sun, et al.
Earth Surface Processes and Landforms (2024)
Closed Access | Times Cited: 2
Enhancing Landslide Detection with SBConv-Optimized U-Net Architecture Based on Multisource Remote Sensing Data
Yingxu Song, Yujia Zou, Yuan Li, et al.
Land (2024) Vol. 13, Iss. 6, pp. 835-835
Open Access | Times Cited: 2
Establishing the landslide-triggering rainfall thresholds for the Kashmir Himalaya
Bilquis Shah, M. Sultan Bhat, Akhtar Alam, et al.
Natural Hazards (2023) Vol. 120, Iss. 2, pp. 1319-1341
Closed Access | Times Cited: 5
Machine-Learning-Based Prediction Modeling for Debris Flow Occurrence: A Meta-Analysis
Lianbing Yang, Yonggang Ge, Baili Chen, et al.
Water (2024) Vol. 16, Iss. 7, pp. 923-923
Open Access | Times Cited: 1
Numerical modeling of a high magnitude debris-flow event occurred in Brazil
Claudia Vanessa dos Santos Corrêa, Fábio Augusto Gomes Vieira Reis, Lucília do Carmo Giordano, et al.
Natural Hazards (2024)
Closed Access | Times Cited: 1
Determination of Hazard due to Debris Flows
Ricardo A. Bocanegra, Carlos Alberto Ramírez Callejas, Elkin de Jesús Salcedo Hurtado, et al.
(2023)
Open Access | Times Cited: 2
Effects of changing spatial scale on debris-flow hazard assessment: A case study in the Dadu River basin, China
Libin Zhang, Jianqiang Zhang, Zaiyang Ming, et al.
The Science of The Total Environment (2024) Vol. 954, pp. 176482-176482
Closed Access
Assessing Rock Avalanche and subsequent Debris Flow Propagation: Comparison between Numerical Simulations and Empirical Relationships in a Context of Frontally Confined Propagation
Charlotte Wolff, Michel Jaboyedoff, Andrea Pedrazzini, et al.
Research Square (Research Square) (2024)
Closed Access
Numerical modeling of the largest event recorded in the most susceptible area to debris flow in Brazil
Claudia Vanessa dos Santos Corrêa, Fábio Augusto Gomes Vieira Reis, Lucília do Carmo Giordano, et al.
Research Square (Research Square) (2024)
Open Access
Watershed-oriented and multifactor-integrated identification and hazard evaluation of debris-flow-prone watersheds in Danba, China
Xiaojun Luo, Mingyue Hou, Jiayin Fan, et al.
Landslides (2024) Vol. 21, Iss. 12, pp. 2959-2973
Closed Access
Geospatial Analysis of Soil Erosion and Subsequent Geomorphic Hazards in the Eastern Himalayan Region, India
Pradeep Kumar Rawat, Khrieketouno Belho, Mohan Singh Maniyari Rawat
Journal of the Indian Society of Remote Sensing (2024) Vol. 53, Iss. 3, pp. 751-771
Closed Access
Challenges and perspectives in applying the environmental sensitivity index to pipelines: a review on the prevention and management of oil spills disasters
Vinícius Queiroz Veloso, Fábio Augusto Gomes Vieira Reis, Victor Carvalho Cabral, et al.
Environmental Monitoring and Assessment (2023) Vol. 195, Iss. 12
Closed Access | Times Cited: 1
Experimental and Numerical Mudflows Modeling for Runout and Deposition Height Assessmen
Fredy Muñoz, Johnny Alexánder Vega, César Augusto Hidalgo Montoya
Research Square (Research Square) (2023)
Open Access
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