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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:

Variations in the susceptibility to landslides, as a consequence of land cover changes: A look to the past, and another towards the future
Luca Pisano, Veronica Zumpano, Žiga Malek, et al.
The Science of The Total Environment (2017) Vol. 601-602, pp. 1147-1159
Open Access | Times Cited: 130

Showing 1-25 of 130 citing articles:

GIS-based landslide susceptibility modeling: A comparison between fuzzy multi-criteria and machine learning algorithms
Sk Ajim Ali, Farhana Parvin, Jana Vojteková, et al.
Geoscience Frontiers (2020) Vol. 12, Iss. 2, pp. 857-876
Open Access | Times Cited: 204
Modeling landslide susceptibility using LogitBoost alternating decision trees and forest by penalizing attributes with the bagging ensemble
Haoyuan Hong, Junzhi Liu, A‐Xing Zhu
The Science of The Total Environment (2020) Vol. 718, pp. 137231-137231
Closed Access | Times Cited: 176
Correlation does not imply geomorphic causation in data-driven landslide susceptibility modelling – Benefits of exploring landslide data collection effects
Stefan Steger, Volkmar Mair, Christian Kofler, et al.
The Science of The Total Environment (2021) Vol. 776, pp. 145935-145935
Open Access | Times Cited: 122
Modelling and quantifying tomorrow's risks from natural hazards
Gemma Cremen, Carmine Galasso, John McCloskey
The Science of The Total Environment (2021) Vol. 817, pp. 152552-152552
Open Access | Times Cited: 106
Land use and land cover as a conditioning factor in landslide susceptibility: a literature review
Renata Pacheco Quevedo, Andrés Velástegui-Montoya, Néstor Montalván-Burbano, et al.
Landslides (2023) Vol. 20, Iss. 5, pp. 967-982
Open Access | Times Cited: 95
Landslide susceptibility prediction considering land use change and human activity: A case study under rapid urban expansion and afforestation in China
Hanxiang Xiong, Chuanming Ma, Minghong Li, et al.
The Science of The Total Environment (2023) Vol. 866, pp. 161430-161430
Closed Access | Times Cited: 54
Landslide susceptibility zonation using the analytical hierarchy process (AHP) in the Great Xi’an Region, China
Xiaokang Liu, Shuai Shao, Shengjun Shao
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 22
A novel hybrid approach of landslide susceptibility modelling using rotation forest ensemble and different base classifiers
Binh Thai Pham, Indra Prakash, Jie Dou, et al.
Geocarto International (2018) Vol. 35, Iss. 12, pp. 1267-1292
Closed Access | Times Cited: 156
Point process-based modeling of multiple debris flow landslides using INLA: an application to the 2009 Messina disaster
Luigi Lombardo, Thomas Opitz, Raphaël Huser
Stochastic Environmental Research and Risk Assessment (2018) Vol. 32, Iss. 7, pp. 2179-2198
Open Access | Times Cited: 116
The influence of land use and land cover change on landslide susceptibility: a case study in Zhushan Town, Xuan'en County (Hubei, China)
Lixia Chen, Zizheng Guo, Kunlong Yin, et al.
Natural hazards and earth system sciences (2019) Vol. 19, Iss. 10, pp. 2207-2228
Open Access | Times Cited: 115
Impact of communal irrigation on the 2018 Palu earthquake-triggered landslides
Ian M. Watkinson, Robert Hall
Nature Geoscience (2019) Vol. 12, Iss. 11, pp. 940-945
Closed Access | Times Cited: 114
Artificial neural network ensembles applied to the mapping of landslide susceptibility
Lucimara Bragagnolo, Roberto Valmir da Silva, J.M.V. Grzybowski
CATENA (2019) Vol. 184, pp. 104240-104240
Closed Access | Times Cited: 111
The influence of land abandonment on forest disturbance regimes: a global review
Giulia Mantero, Donato Morresi, Raffaella Marzano, et al.
Landscape Ecology (2020) Vol. 35, Iss. 12, pp. 2723-2744
Open Access | Times Cited: 110
Predicting landslide susceptibility and risks using GIS-based machine learning simulations, case of upper Nyabarongo catchment
Jean Baptiste Nsengiyumva, Roberto Valentino
Geomatics Natural Hazards and Risk (2020) Vol. 11, Iss. 1, pp. 1250-1277
Open Access | Times Cited: 73
Comparing the efficiency of weight of evidence, support vector machine and their ensemble approaches in landslide susceptibility modelling: A study on Kurseong region of Darjeeling Himalaya, India
Anik Saha, Sunil Saha
Remote Sensing Applications Society and Environment (2020) Vol. 19, pp. 100323-100323
Closed Access | Times Cited: 72
Landslide susceptibility mapping using CNN-1D and 2D deep learning algorithms: comparison of their performance at Asir Region, KSA
Ahmed M. Youssef, Biswajeet Pradhan, Abhirup Dikshit, et al.
Bulletin of Engineering Geology and the Environment (2022) Vol. 81, Iss. 4
Closed Access | Times Cited: 67
Strategic protection of landslide vulnerable mountains for biodiversity conservation under land-cover and climate change impacts
Binbin V. Li, Clinton N. Jenkins, Weihua Xu
Proceedings of the National Academy of Sciences (2022) Vol. 119, Iss. 2
Open Access | Times Cited: 44
Evaluating the relation between land use changes and the 2018 landslide disaster in Kerala, India
Lina Hao, C.J. van Westen, A. Rajaneesh, et al.
CATENA (2022) Vol. 216, pp. 106363-106363
Open Access | Times Cited: 39
Deadly disasters in southeastern South America: flash floods and landslides of February 2022 in Petrópolis, Rio de Janeiro
Enner Alcântara, José A. Marengo, José Roberto Mantovani, et al.
Natural hazards and earth system sciences (2023) Vol. 23, Iss. 3, pp. 1157-1175
Open Access | Times Cited: 37
Tempo-Spatial Landslide Susceptibility Assessment from the Perspective of Human Engineering Activity
Taorui Zeng, Zizheng Guo, Linfeng Wang, et al.
Remote Sensing (2023) Vol. 15, Iss. 16, pp. 4111-4111
Open Access | Times Cited: 29
Prolonged influence of urbanization on landslide susceptibility
Tyler Rohan, Eitan Shelef, Benjamin B. Mirus, et al.
Landslides (2023) Vol. 20, Iss. 7, pp. 1433-1447
Closed Access | Times Cited: 25
Dynamics and impacts of monsoon-induced geological hazards: a 2022 flood study along the Swat River in Pakistan
Nazir Ahmed Bazai, Mehtab Alam, Peng Cui, et al.
Natural hazards and earth system sciences (2025) Vol. 25, Iss. 3, pp. 1071-1093
Open Access | Times Cited: 1
Comparing probabilistic and statistical methods in landslide susceptibility modeling in Rwanda/Centre-Eastern Africa
Jean Baptiste Nsengiyumva, Geping Luo, Amobichukwu Chukwudi Amanambu, et al.
The Science of The Total Environment (2018) Vol. 659, pp. 1457-1472
Open Access | Times Cited: 76
Impacts of past and future land changes on landslides in southern Italy
Stefano Luigi Gariano, Olga Petrucci, Guido Rianna, et al.
Regional Environmental Change (2017) Vol. 18, Iss. 2, pp. 437-449
Closed Access | Times Cited: 67
Effects of different land use and land cover data on the landslide susceptibility zonation of road networks
Bruno M. Meneses, Susana Pereira, Eusébio Reis
Natural hazards and earth system sciences (2019) Vol. 19, Iss. 3, pp. 471-487
Open Access | Times Cited: 64
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