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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 hazard, vulnerability, and risk assessment (HVRA), Mussoorie township, lesser himalaya, India
Pratap Ram, Vikram Gupta
Environment Development and Sustainability (2021) Vol. 24, Iss. 1, pp. 473-501
Closed Access | Times Cited: 47

Showing 1-25 of 47 citing articles:

High resolution landslide susceptibility mapping using ensemble machine learning and geospatial big data
Nirdesh Sharma, Manabendra Saharia, G. V. Ramana
CATENA (2023) Vol. 235, pp. 107653-107653
Open Access | Times Cited: 46
Quantitative Assessment of Landslide Risk Based on Susceptibility Mapping Using Random Forest and GeoDetector
Yue Wang, Haijia Wen, Deliang Sun, et al.
Remote Sensing (2021) Vol. 13, Iss. 13, pp. 2625-2625
Open Access | Times Cited: 59
Assessment of landslide susceptibility for Meghalaya (India) using bivariate (frequency ratio and Shannon entropy) and multi-criteria decision analysis (AHP and fuzzy-AHP) models
Navdeep Agrawal, Jagabandhu Dixit
All Earth (2022) Vol. 34, Iss. 1, pp. 179-201
Open Access | Times Cited: 48
Impact assessment of unsustainable airport development in the Himalayas using remote sensing: A case study of Pakyong Airport, Sikkim, India
Vishal Mishra, Kapil Malik, Vivek Agarwal, et al.
Quaternary Science Advances (2023) Vol. 13, pp. 100144-100144
Open Access | Times Cited: 24
Refined landslide susceptibility mapping in township area using ensemble machine learning method under dataset replenishment strategy
Fancheng Zhao, Fasheng Miao, Yiping Wu, et al.
Gondwana Research (2024) Vol. 131, pp. 20-37
Closed Access | Times Cited: 11
An integrated approach of machine learning and remote sensing for evaluating landslide hazards and risk hotspots, NW Himalaya
Yaspal Sundriyal, Sandeep Kumar, Neha Chauhan, et al.
Remote Sensing Applications Society and Environment (2024) Vol. 33, pp. 101140-101140
Closed Access | Times Cited: 9
Measuring landslide vulnerability status of Chukha, Bhutan using deep learning algorithms
Sunil Saha, Raju Sarkar, Jagabandhu Roy, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 45
Comprehensive landslide prediction mapping using bivariate statistical models of Mizoram state of Northeast India
Jonmenjoy Barman, Jayanta Das
Journal of Spatial Science (2024) Vol. 69, Iss. 3, pp. 963-993
Closed Access | Times Cited: 8
Regional-scale landslide susceptibility assessment for the hilly state of Uttarakhand, NW Himalaya, India
Vikram Gupta, Sandeep Kumar, Ramandeep Kaur, et al.
Journal of Earth System Science (2021) Vol. 131, Iss. 1
Closed Access | Times Cited: 35
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
Assessment of landslide susceptibility, exposure, vulnerability, and risk in shahpur valley, eastern hindu kush
Ghani Rahman, Alam Sher Bacha, Muhammad Farhan Ul Moazzam, et al.
Frontiers in Earth Science (2022) Vol. 10
Open Access | Times Cited: 25
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
Modelling landslide susceptibility along major transportation corridor in Darjeeling Himalayas using GIS-based MCDA approaches
Nimai Singha, Shraban Sarkar
Modeling Earth Systems and Environment (2024) Vol. 10, Iss. 3, pp. 3197-3218
Closed Access | Times Cited: 5
Evaluation of Landslide Susceptibility Based on CF-SVM in Nujiang Prefecture
Yimin Li, Xuanlun Deng, Peikun Ji, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 21, pp. 14248-14248
Open Access | Times Cited: 20
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
Total probabilistic measure for the potential risk of regional roads exposed to landslides
Qiang Liu, Aiping Tang, Delong Huang, et al.
Reliability Engineering & System Safety (2022) Vol. 228, pp. 108822-108822
Closed Access | Times Cited: 17
LANDSLIDE HAZARD MAPPING IN SIBOLANGIT DISTRICT, NORTH SUMATRA PROVINCE USING GEOGRAPHIC INFORMATION SYSTEMS
Frandica Panjaitan, Lili Somantri, Rizki Feroza Maruddani, et al.
Jurnal Tanah dan Sumberdaya Lahan (2025) Vol. 12, Iss. 1, pp. 139-152
Open Access
Landslide hazard assessment of an urban agglomeration in central Guizhou Province based on an information value method and SVM, bagging, DNN algorithm
Junhua Luo, Zhenghui Zhao, Wei Li, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Impact of Climate Change on Landslide Occurrence: A Case Study of Dima Hasao District of Northeast India
Dhrubajyoti Saikia, Monomoy Goswami
Lecture notes in civil engineering (2025), pp. 299-317
Closed Access
Landslide susceptibility along National Highway-7 in the Himalayas using random forest-based machine learning tool
Khyati Gupta, Ali P. Yunus, Tariq Siddique, et al.
Journal of Earth System Science (2025) Vol. 134, Iss. 2
Closed Access
Improving generalization in slope movement prediction using sequential models and hierarchical transformer predictor autoencoder
Praveen Kumar, Priyanka Priyanka, K. V. Uday, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Mapping infrastructure vulnerability to landslides in India using high-resolution geospatial data
Ria Joshi, Manabendra Saharia, Ishita Afreen Ahmed, et al.
Natural Hazards (2025)
Closed Access
Predicting Landslides Susceptible Zones in the Lesser Himalayas by Ensemble of Per Pixel and Object-Based Models
Ujjwal Sur, Prafull Singh, Sansar Raj Meena, et al.
Remote Sensing (2022) Vol. 14, Iss. 8, pp. 1953-1953
Open Access | Times Cited: 16
A Case Study of the 12 July 2021 Bhagsunath (McLeod Ganj) Flash Flood in Dharamshala, Himachal Pradesh: A Warning Against Constricting Natural Drainage
Vikram Gupta, Bikash Kumar Ram, Sandeep Kumar, et al.
Journal of the Geological Society of India (2022) Vol. 98, Iss. 5, pp. 607-610
Closed Access | Times Cited: 13
Landslide risk of regional roads: Consider the road mileage of expected losses
Qiang Liu, Bin Zhang, Aiping Tang
Transportation Research Part D Transport and Environment (2023) Vol. 120, pp. 103771-103771
Closed Access | Times Cited: 7
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