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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:

Debris flow susceptibility zonation using statistical models in parts of Northwest Indian Himalayas—implementation, validation, and comparative evaluation
Rajesh Kumar Dash, Philips Omowumi Falae, Debi Prasanna Kanungo
Natural Hazards (2022) Vol. 111, Iss. 2, pp. 2011-2058
Closed Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

Comparison of debris flow susceptibility assessment methods: support vector machine, particle swarm optimization, and feature selection techniques
Haijun Zhao, Aihua Wei, Fengshan Ma, et al.
Journal of Mountain Science (2024) Vol. 21, Iss. 2, pp. 397-412
Closed Access | Times Cited: 9
Debris-Flow Susceptibility Assessment in China: A Comparison between Traditional Statistical and Machine Learning Methods
Han Huang, Yongsheng Wang, Yamei Li, et al.
Remote Sensing (2022) Vol. 14, Iss. 18, pp. 4475-4475
Open Access | Times Cited: 27
Assessment of environmental geological disaster susceptibility under a multimodel comparison to aid in the sustainable development of the regional economy
Cui Wang, Xuedong Wang, Heyong Zhang, et al.
Environmental Science and Pollution Research (2022) Vol. 30, Iss. 3, pp. 6573-6591
Closed Access | Times Cited: 26
Risk assessment of debris flow along the northern line of the Sichuan-Tibet highway
Yuqing Sun, Yonggang Ge, Xingzhang Chen, et al.
Geomatics Natural Hazards and Risk (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 15
Debris flow susceptibility mapping in alpine canyon region: a case study of Nujiang Prefecture
Yimin Li, Wenxue Jiang, Xianjie Feng, et al.
Bulletin of Engineering Geology and the Environment (2024) Vol. 83, Iss. 5
Closed Access | Times Cited: 6
Debris-flow susceptibility assessment in Dongchuan using stacking ensemble learning including multiple heterogeneous learners with RFE for factor optimization
Kun Li, Junsan Zhao, Yilin Lin
Natural Hazards (2023) Vol. 118, Iss. 3, pp. 2477-2511
Open Access | Times Cited: 13
Mapping Landslide Sensitivity Based on Machine Learning: A Case Study in Ankang City, Shaanxi Province, China
Baoxin Zhao, Jingzhong Zhu, Youbiao Hu, et al.
Geofluids (2022) Vol. 2022, pp. 1-32
Open Access | Times Cited: 17
Recurring Landslides and Debris Flows near Kalli Village in the Lesser Himalayas of Western Nepal
Diwakar KC, Harish Dangi, Mohammad Wasif Naqvi, et al.
Geotechnical and Geological Engineering (2023) Vol. 41, Iss. 5, pp. 3151-3168
Closed Access | Times Cited: 10
Post-mobilization experimental evaluation of Tangni Debris flow in Garhwal Himalaya, India
Rajesh Kumar Dash, Debi Prasanna Kanungo, Perry Bartelt
Natural Hazards (2025)
Closed Access
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
Unravelling the Dynamics of Debris Flow in Uttarakhand, India
Renu Priyanka Kosana, Praveen Kumar
(2025), pp. 29-38
Closed Access
Slope unit-based comprehensive geohazard susceptibility assessment: SHAP interpretability and local InSAR deformation analysis
Peng Wang, Hongwei Deng, Jielin Li, et al.
Advances in Space Research (2025)
Closed Access
Debris-flow susceptibility assessment using deep learning algorithms with GeoDetector for factor optimization
Kun Li, Junsan Zhao, Guoping Chen, et al.
Bulletin of Engineering Geology and the Environment (2025) Vol. 84, Iss. 6
Closed Access
Geospatial-Based Risk Analysis of Solar Plants Located in the Mountainous Region of Gangwon Province, South Korea
Manik Das Adhikari, Sang‐Guk Yum, Chan-Young Yune
Renewable Energy (2025), pp. 123408-123408
Closed Access
A method for identifying gully-type debris flows based on adaptive multi-scale feature extraction
Qiuyu Liu, Ting Wang, Zhijie Zheng, et al.
Geomatics Natural Hazards and Risk (2025) Vol. 16, Iss. 1
Open Access
Exploring the impact process and mechanism of geological hazards on land use from the perspective of debris flow gullies
Xiaobo Liu, Ran Zhu, Han Zhang, et al.
Frontiers in Earth Science (2025) Vol. 13
Open Access
Integrating the Combined Impact of Rainfall and Earthquakes on Landslide Susceptibility in Bhagirathi Valley of the Indian Himalayas Using Machine Learning and GIS
Neha Gupta, Debi Prasanna Kanungo, Josodhir Das
Lecture notes in civil engineering (2025), pp. 363-372
Closed Access
Debris Flow Susceptibility Evaluation—A Review
Ankit Kumar, Raju Sarkar
Iranian Journal of Science and Technology Transactions of Civil Engineering (2022) Vol. 47, Iss. 3, pp. 1277-1292
Closed Access | Times Cited: 15
Debris Flow Hazard in India: Current Status, Research Trends, and Emerging Challenges
Rajesh Kumar Dash, Manojit Samanta, Debi Prasanna Kanungo
Springer eBooks (2023), pp. 211-231
Closed Access | Times Cited: 9
Debris flow in indian himalaya: A threat to emerging infrastructure
Neha Chauhan, Vipin Kumar, Yaspal Sundriyal, et al.
Bulletin of Engineering Geology and the Environment (2024) Vol. 83, Iss. 11
Closed Access | Times Cited: 3
A Comprehensive Review on Debris Flow Landslide Assessment Using Rapid Mass Movement Simulation (RAMMS)
Sahil Kumar, Abhishek Sharma, Kanwarpreet Singh
Geotechnical and Geological Engineering (2024) Vol. 42, Iss. 7, pp. 5447-5475
Closed Access | Times Cited: 2
Establishing a GIS-based evaluation method considering spatial heterogeneity for debris flow susceptibility mapping at the regional scale
Shengwu Qin, Shuangshuang Qiao, Jingyu Yao, et al.
Natural Hazards (2022) Vol. 114, Iss. 3, pp. 2709-2738
Closed Access | Times Cited: 7
Gully-type debris flow susceptibility assessment based on a multi-channel multi-scale residual network fusing multi-source data: a case study of Nujiang Prefecture
CX Liu, Baoyun Wang
All Earth (2023) Vol. 36, Iss. 1, pp. 1-18
Open Access | Times Cited: 4
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
Approaches for Prediction of Debris Flow Runout
Rajesh Kumar Dash, Manojit Samanta, Debi Prasanna Kanungo
Springer proceedings in earth and environmental sciences (2024), pp. 267-272
Closed Access | Times Cited: 1
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