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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:

Study on landslide susceptibility mapping based on rock–soil characteristic factors
Xianyu Yu, Kaixiang Zhang, Yingxu Song, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 45

Showing 26-50 of 45 citing articles:

Geospatial technologies for landslide monitoring: a case study of Sighetu Marmației, Romania
Tiberiu Mihai Kalmar, Marcel Dîrja, Adrian Traian Rădulescu, et al.
Environmental Earth Sciences (2024) Vol. 83, Iss. 10
Open Access | Times Cited: 1
Influence of high Andean grasslands on landslide reduction in Peru
Franco Cerna Cueva, Katherin Lourdes Uriarte-Barraza, Grecia Isabel Lobaton-Tarazona, et al.
Scientia Agropecuaria (2024) Vol. 15, Iss. 3, pp. 333-348
Open Access | Times Cited: 1
Exploring uncertainty analysis in GIS-based Landslide susceptibility mapping models using machine learning in the Darjeeling Himalayas
Sumon Dey, Swarup Das, Abhik Saha
Earth Science Informatics (2024) Vol. 18, Iss. 1
Closed Access | Times Cited: 1
Rapid Landslide Detection Following an Extreme Rainfall Event Using Remote Sensing Indices, Synthetic Aperture Radar Imagery, and Probabilistic Methods
Aikaterini-Alexandra Chrysafi, Paraskevas Tsangaratos, Ioanna Ilia, et al.
Land (2024) Vol. 14, Iss. 1, pp. 21-21
Open Access | Times Cited: 1
GIS-based landslide susceptibility zoning using a coupled model: a case study in Badong County, China
Peng Wang, Hong‐Wei Deng, Yao Liu
Environmental Science and Pollution Research (2023) Vol. 31, Iss. 4, pp. 6213-6231
Closed Access | Times Cited: 3
Landslide Susceptibility Mapping Based on Information-GRUResNet Model in the Changzhou Town, China
Zian Lin, Qiuguang Chen, Weiping Lu, et al.
Forests (2023) Vol. 14, Iss. 3, pp. 499-499
Open Access | Times Cited: 2
Non-landslide sampling and ensemble learning techniques to improve landslide susceptibility mapping
Chao Zhou, Yue Wang, Ying Cao, et al.
(2023)
Open Access | Times Cited: 2
Landslide susceptibility, ensemble machine learning, and accuracy methods in the southern Sinai Peninsula, Egypt: Assessment and Mapping
Ahmed M. Youssef, Bosy A. El‐Haddad, Hariklia D. Skilodimou, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 2
Soil micromorphology for modeling spatial on landslide susceptibility mapping: a case study in Kelara Subwatershed, Jeneponto Regency of South Sulawesi, Indonesia
Asmita Ahmad, Meutia Farida, Nirmala Juita, et al.
Natural Hazards (2023) Vol. 118, Iss. 2, pp. 1445-1462
Open Access | Times Cited: 1
Advance Landslide Prediction and Warning Model Based on Stacking Fusion Algorithm
Zian Lin, Yuanfa Ji, Xiyan Sun
Mathematics (2023) Vol. 11, Iss. 13, pp. 2833-2833
Open Access | Times Cited: 1
Landslide Susceptibility Assessment of a Railway Based on GIS Application
Wahyu Tamtomo Adi, Adya Aghastya, Rusman Prihatanto, et al.
Journal of Railway Transportation and Technology (2023) Vol. 2, Iss. 2, pp. 12-23
Open Access | Times Cited: 1
Landslide Susceptibility Mapping by Using Geospatial Technique: Reference from Hofu City, Yamaguchi Prefecture, Japan
Benita Nathania, Martiwi Diah Setiawati
Advances in natural and technological hazards research (2024), pp. 25-52
Closed Access
Spatial variations of landslide severity with respect to meteorological and soil related factors
Kunal Dutta, Arkaprabha Poddar, Asif Iqbal Middya, et al.
Natural Hazards (2024)
Closed Access
Integrating Physical and Machine Learning Models for Enhanced Landslide Prediction in Data-Scarce Environments
Husam A. H. Al-Najjar, Biswajeet Pradhan, Xuzhen He, et al.
Earth Systems and Environment (2024)
Closed Access
Investigating causative factors and selecting optimal machine learning algorithms for landslide susceptibility assessment in Lom Kao area, northern Thailand
G Poemsiritaweechoke, P Pondthai
IOP Conference Series Earth and Environmental Science (2023) Vol. 1151, Iss. 1, pp. 012037-012037
Open Access | Times Cited: 1
Landslide Susceptibility Mapping Using Supervised Learning Methods – Case Study: Southwestern Colombia
N. A. Correa-Muñoz, Luís Joel Martínez, C. A. Murillo-Feo
Springer eBooks (2023), pp. 315-335
Closed Access
Comment on nhess-2023-44
Chao Zhou, Yue Wang, Ying Cao, et al.
(2023)
Open Access
Potential Factors of Landslide Recurrence in Uttaradit, Thailand: A Case Study in Laplae, Mueang Uttaradit, and Tha Pla Districts
Panithan Sawatdikomon, Watit Khokthong, Nipada Santha
Deleted Journal (2023)
Open Access
Comment on nhess-2023-44
Marc van den Homberg
(2023)
Open Access
Soil Micromorphology for Modeling Spatial on Landslide Susceptibility Mapping A Case Study in Kelara Subwatershed, Jeneponto Regency of South Sulawesi, Indonesia
Asmita Ahmad, Meutia Farida, Nirmala Juita, et al.
Research Square (Research Square) (2022)
Open Access
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