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 spatial modeling of snow avalanches using four novel ensemble models
Peyman Yariyan, Mohammadtaghi Avand, Rahim Ali Abbaspour, et al.
The Science of The Total Environment (2020) Vol. 745, pp. 141008-141008
Closed Access | Times Cited: 78

Showing 1-25 of 78 citing articles:

A hybrid ensemble-based deep-learning framework for landslide susceptibility mapping
Liang Lv, Tao Chen, Jie Dou, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 108, pp. 102713-102713
Open Access | Times Cited: 119

Machine learning-based landslide susceptibility assessment with optimized ratio of landslide to non-landslide samples
Can Yang, Leilei Liu, Faming Huang, et al.
Gondwana Research (2022) Vol. 123, pp. 198-216
Closed Access | Times Cited: 94

Flood susceptibility mapping using an improved analytic network process with statistical models
Peyman Yariyan, Mohammadtaghi Avand, Rahim Ali Abbaspour, et al.
Geomatics Natural Hazards and Risk (2020) Vol. 11, Iss. 1, pp. 2282-2314
Open Access | Times Cited: 126

DEM resolution effects on machine learning performance for flood probability mapping
Mohammadtaghi Avand, Alban Kuriqi, Majid Khazaei, et al.
Journal of Hydro-environment Research (2021) Vol. 40, pp. 1-16
Open Access | Times Cited: 104

Multi-Hazard Exposure Mapping Using Machine Learning for the State of Salzburg, Austria
Thimmaiah Gudiyangada Nachappa, Omid Ghorbanzadeh, Khalil Gholamnia, et al.
Remote Sensing (2020) Vol. 12, Iss. 17, pp. 2757-2757
Open Access | Times Cited: 80

Snow avalanche susceptibility mapping using novel tree-based machine learning algorithms (XGBoost, NGBoost, and LightGBM) with eXplainable Artificial Intelligence (XAI) approach
Muzaffer Can İban, Süleyman Sefa Bilgilioğlu
Stochastic Environmental Research and Risk Assessment (2023) Vol. 37, Iss. 6, pp. 2243-2270
Closed Access | Times Cited: 34

Spatial modeling of flood probability using geo-environmental variables and machine learning models, case study: Tajan watershed, Iran
Mohammadtaghi Avand, Hamidreza Moradi, Mehdi Ramazanzadeh lasboyee
Advances in Space Research (2021) Vol. 67, Iss. 10, pp. 3169-3186
Closed Access | Times Cited: 55

Determination of flood probability and prioritization of sub-watersheds: A comparison of game theory to machine learning
Mohammadtaghi Avand, Ali Nasiri Khiavi, Majid Khazaei, et al.
Journal of Environmental Management (2021) Vol. 295, pp. 113040-113040
Closed Access | Times Cited: 52

Optimization of statistical and machine learning hybrid models for groundwater potential mapping
Peyman Yariyan, Mohammadtaghi Avand, Ebrahim Omidvar, et al.
Geocarto International (2021) Vol. 37, Iss. 13, pp. 3877-3911
Closed Access | Times Cited: 46

Decision support tools, systems and indices for sustainable coastal planning and management: A review
Mojtaba Barzehkar, Kevin E. Parnell, Tarmo Soomere, et al.
Ocean & Coastal Management (2021) Vol. 212, pp. 105813-105813
Closed Access | Times Cited: 43

Evaluating the application of K-mean clustering in Earthquake vulnerability mapping of Istanbul, Turkey
Mahyat Shafapour Tehrany, Peyman Yariyan, Haluk Özener, et al.
International Journal of Disaster Risk Reduction (2022) Vol. 79, pp. 103154-103154
Closed Access | Times Cited: 35

Review article: Snow and ice avalanches in high mountain Asia – scientific, local and indigenous knowledge
Anushilan Acharya, Jakob Steiner, Khwaja Momin Walizada, et al.
Natural hazards and earth system sciences (2023) Vol. 23, Iss. 7, pp. 2569-2592
Open Access | Times Cited: 21

Landslide susceptibility zonation using statistical and machine learning approaches in Northern Lecco, Italy
Mohammad Mehrabi
Natural Hazards (2021) Vol. 111, Iss. 1, pp. 901-937
Open Access | Times Cited: 39

Toward the development of deep learning analyses for snow avalanche releases in mountain regions
Yunzhi Chen, Wei Chen, Omid Rahmati, et al.
Geocarto International (2021) Vol. 37, Iss. 25, pp. 7855-7880
Open Access | Times Cited: 38

Efficiency exploration of frequency ratio, entropy and weights of evidence-information value models in flood vulnerabilityassessment: a study of raiganj subdivision, Eastern India
Sunil Saha, Debabrata Sarkar, Prolay Mondal
Stochastic Environmental Research and Risk Assessment (2021) Vol. 36, Iss. 6, pp. 1721-1742
Closed Access | Times Cited: 36

GIS-Based Spatial Modeling of Snow Avalanches Using Analytic Hierarchy Process. A Case Study of the Šar Mountains, Serbia
Uroš Durlević, Aleksandar Valjarević, Ivan Novković, et al.
Atmosphere (2022) Vol. 13, Iss. 8, pp. 1229-1229
Open Access | Times Cited: 26

Multi-hazard susceptibility mapping for disaster risk reduction in Kargil-Ladakh Region of Trans-Himalayan India
Mohmad Akbar, M. Shafi Bhat, Amir Ali Khan
Environmental Earth Sciences (2023) Vol. 82, Iss. 2
Closed Access | Times Cited: 16

Snow avalanche susceptibility mapping from tree-based machine learning approaches in ungauged or poorly-gauged regions
Yang Liu, Xi Chen, Jinming Yang, et al.
CATENA (2023) Vol. 224, pp. 106997-106997
Closed Access | Times Cited: 16

Spatial modeling of snow avalanche susceptibility using hybrid and ensemble machine learning techniques
Hüseyın Akay
CATENA (2021) Vol. 206, pp. 105524-105524
Closed Access | Times Cited: 32

An integrated approach of artificial intelligence and geoinformation techniques applied to forest fire risk modeling in Gachsaran, Iran
Bakhtiar Feizizadeh, Davoud Omarzadeh, Vahid Mohammadnejad, et al.
Journal of Environmental Planning and Management (2022) Vol. 66, Iss. 6, pp. 1369-1391
Closed Access | Times Cited: 19

Distribution, Trends, and Drivers of Snow Avalanche Susceptibility in the Earth's Third Pole
Chaoyue Li, Hongyu Wei, Jiansheng Hao, et al.
(2025)
Closed Access

Enhancing snow avalanche susceptibility assessment with meta-heuristic optimization and deep learning algorithms
Armin Ghayur Sadigh, Ali Asghar Alesheikh, Fatemeh Rezaie, et al.
International Journal of Environmental Science and Technology (2025)
Closed Access

A multi-aggregation approach to estimate avalanche vulnerability and suggest phase-wise adaptation
Akshay Singhal, Ms B.V. Kavya, Sanjeev Jha
Environment Development and Sustainability (2025)
Closed Access

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