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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:

Evaluation of Floods and Landslides Triggered by a Meteorological Catastrophe (Ordu, Turkey, August 2018) Using Optical and Radar Data
Sultan Kocaman, Beste Tavus, Hakan A. Nefeslioğlu, et al.
Geofluids (2020) Vol. 2020, pp. 1-18
Open Access | Times Cited: 51

Showing 1-25 of 51 citing articles:

Predictive Performances of Ensemble Machine Learning Algorithms in Landslide Susceptibility Mapping Using Random Forest, Extreme Gradient Boosting (XGBoost) and Natural Gradient Boosting (NGBoost)
Taşkın Kavzoǧlu, Alihan Teke
Arabian Journal for Science and Engineering (2022) Vol. 47, Iss. 6, pp. 7367-7385
Closed Access | Times Cited: 187
Convolutional neural network (CNN) with metaheuristic optimization algorithms for landslide susceptibility mapping in Icheon, South Korea
Wahyu Luqmanul Hakim, Fatemeh Rezaie, Arip Syaripudin Nur, et al.
Journal of Environmental Management (2021) Vol. 305, pp. 114367-114367
Closed Access | Times Cited: 139
A Comprehensive Assessment of XGBoost Algorithm for Landslide Susceptibility Mapping in the Upper Basin of Ataturk Dam, Turkey
R. Can, Sultan Kocaman, Candan Gökçeoğlu
Applied Sciences (2021) Vol. 11, Iss. 11, pp. 4993-4993
Open Access | Times Cited: 121
A comparison among fuzzy multi-criteria decision making, bivariate, multivariate and machine learning models in landslide susceptibility mapping
Quoc Bao Pham, Yacine Achour, Sk Ajim Ali, et al.
Geomatics Natural Hazards and Risk (2021) Vol. 12, Iss. 1, pp. 1741-1777
Open Access | Times Cited: 114
Impact assessment of geohazards triggered by 6 February 2023 Kahramanmaras Earthquakes (Mw 7.7 and Mw 7.6) on the natural gas pipelines
Erdinç Örsan Ünal, Sultan Kocaman, Candan Gökçeoğlu
Engineering Geology (2024) Vol. 334, pp. 107508-107508
Closed Access | Times Cited: 17
Combining a class-weighted algorithm and machine learning models in landslide susceptibility mapping: A case study of Wanzhou section of the Three Gorges Reservoir, China
Huijuan Zhang, Yingxu Song, Shiluo Xu, et al.
Computers & Geosciences (2021) Vol. 158, pp. 104966-104966
Open Access | Times Cited: 70
Flood damage assessment with Sentinel-1 and Sentinel-2 data after Sardoba dam break with GLCM features and Random Forest method
Beste Tavus, Sultan Kocaman, Candan Gökçeoğlu
The Science of The Total Environment (2021) Vol. 816, pp. 151585-151585
Closed Access | Times Cited: 63
Landslide susceptibility mapping and dynamic response along the Sichuan-Tibet transportation corridor using deep learning algorithms
Wubiao Huang, Mingtao Ding, Zhenhong Li, et al.
CATENA (2022) Vol. 222, pp. 106866-106866
Open Access | Times Cited: 53
Assessment of rainfall-induced landslide susceptibility in Artvin, Turkey using machine learning techniques
Halil Akıncı
Journal of African Earth Sciences (2022) Vol. 191, pp. 104535-104535
Closed Access | Times Cited: 40
Analysis of landslide susceptibility prediction accuracy with an event-based inventory: The 6 February 2023 Turkiye earthquakes
Gizem Karakaş, Erdinç Örsan Ünal, Sinem Çetınkaya, et al.
Soil Dynamics and Earthquake Engineering (2024) Vol. 178, pp. 108491-108491
Closed Access | Times Cited: 12
Application of Artificial Intelligence and Remote Sensing for Landslide Detection and Prediction: Systematic Review
Stephen Akosah, Ivan Gratchev, Donghyun Kim, et al.
Remote Sensing (2024) Vol. 16, Iss. 16, pp. 2947-2947
Open Access | Times Cited: 9
Landslide susceptibility prediction based on image semantic segmentation
Bowen Du, Zirong Zhao, Xiao Hu, et al.
Computers & Geosciences (2021) Vol. 155, pp. 104860-104860
Closed Access | Times Cited: 53
Detection of areas prone to flood risk using state-of-the-art machine learning models
Romulus Costache, Alireza Arabameri, Ismail Elkhrachy, et al.
Geomatics Natural Hazards and Risk (2021) Vol. 12, Iss. 1, pp. 1488-1507
Open Access | Times Cited: 51
Comprehensive performance assessment of landslide susceptibility mapping with MLP and random forest: a case study after Elazig earthquake (24 Jan 2020, Mw 6.8), Turkey
Gizem Karakaş, Sultan Kocaman, Candan Gökçeoğlu
Environmental Earth Sciences (2022) Vol. 81, Iss. 5
Closed Access | Times Cited: 28
Framework for rainfall-triggered landslide-prone critical infrastructure zonation
Kaushal Raj Gnyawali, Kshitij Dahal, Rocky Talchabhadel, et al.
The Science of The Total Environment (2023) Vol. 872, pp. 162242-162242
Open Access | Times Cited: 21
A Hybrid Multi-Hazard Susceptibility Assessment Model for a Basin in Elazig Province, Türkiye
Gizem Karakaş, Sultan Kocaman, Candan Gökçeoğlu
International Journal of Disaster Risk Science (2023) Vol. 14, Iss. 2, pp. 326-341
Open Access | Times Cited: 21
Spatio-temporal landslide forecasting using process-based and data-driven approaches: A case study from Western Ghats, India
Minu Treesa Abraham, Manjunath Vaddapally, Neelima Satyam, et al.
CATENA (2023) Vol. 223, pp. 106948-106948
Closed Access | Times Cited: 18
Flood prioritization of basins based on geomorphometric properties using principal component analysis, morphometric analysis and Redvan’s priority methods: A case study of Harşit River basin
Redvan Ghasemlounıa, Mustafa Utlu
Journal of Hydrology (2021) Vol. 603, pp. 127061-127061
Closed Access | Times Cited: 35
A Survey of Remote Sensing and Geographic Information System Applications for Flash Floods
Linxian Ding, Lei Ma, Longguo Li, et al.
Remote Sensing (2021) Vol. 13, Iss. 9, pp. 1818-1818
Open Access | Times Cited: 34
Comparison of general kernel, multiple kernel, infinite ensemble and semi-supervised support vector machines for landslide susceptibility prediction
Zhice Fang, Yi Wang, Hexiang Duan, et al.
Stochastic Environmental Research and Risk Assessment (2022) Vol. 36, Iss. 10, pp. 3535-3556
Closed Access | Times Cited: 23
Slope Stability Numerical Analysis and Landslide Prevention of Coal Mine Waste Dump under the Impact of Rainfall—A Case Study of Janina Mine, Poland
Phu Minh Vuong Nguyen, Aleksander Wrana, S. Rajwa, et al.
Energies (2022) Vol. 15, Iss. 21, pp. 8311-8311
Open Access | Times Cited: 23
Supervised and unsupervised machine learning approaches using Sentinel data for flood mapping and damage assessment in Mozambique
M. Nhangumbe, Andrea Nascetti, Stefanos Georganos, et al.
Remote Sensing Applications Society and Environment (2023) Vol. 32, pp. 101015-101015
Open Access | Times Cited: 14
Acceleration of the hydrological cycle and its impact on water availability over land: an adverse effect of climate change
Laraib Ehtasham, Sadia Hassan Sherani, Faheem Nawaz
Meteorology Hydrology and Water Management (2024)
Open Access | Times Cited: 5
Estimating direct economic impacts of severe flood events in Turkey (2015–2020)
Gamze Koç, Stephanie Natho, Annegret H. Thieken
International Journal of Disaster Risk Reduction (2021) Vol. 58, pp. 102222-102222
Closed Access | Times Cited: 28
Flood Mapping Using Multi-temporal Sentinel-1 SAR Images: A Case Study—Inaouene Watershed from Northeast of Morocco
Brahim Benzougagh, Pierre‐Louis Frison, Sarita Gajbhiye Meshram, et al.
Iranian Journal of Science and Technology Transactions of Civil Engineering (2021) Vol. 46, Iss. 2, pp. 1481-1490
Closed Access | Times Cited: 27
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