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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:

Comparative study on landslide susceptibility mapping based on unbalanced sample ratio
Tang Li, Xianyu Yu, Weiwei Jiang, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 20

Showing 20 citing articles:

Optimizing landslide susceptibility mapping using machine learning and geospatial techniques
Gazali Agboola, Leila Hashemi-Beni, Tamer Elbayoumi, et al.
Ecological Informatics (2024) Vol. 81, pp. 102583-102583
Open Access | Times Cited: 28
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: 13
Research on the influence of different sampling resolution and spatial resolution in sampling strategy on landslide susceptibility mapping results
Xianyu Yu, Huihui Chen
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 8
Visual saliency-based landslide identification using super-resolution remote sensing data
S. Sreelakshmi, S. S. Vinod Chandra
Results in Engineering (2023) Vol. 21, pp. 101656-101656
Open Access | Times Cited: 14
A review on landslide susceptibility mapping research in Bangladesh
Md. Sharafat Chowdhury
Heliyon (2023) Vol. 9, Iss. 7, pp. e17972-e17972
Open Access | Times Cited: 13
Inventory of landslide relics in Zhenxiong County based on human-machine interactive visual interpretation, Yunnan Province, China
Zhiwen Xue, Chong Xu, Zhang Zhi-qiang, et al.
Frontiers in Earth Science (2025) Vol. 12
Open Access
Examining the Influence of Different Inventories on Shallow Landslide Susceptibility Modeling: An Assessment Using Machine Learning and Statistical Approaches
Helen Cristina Dias, Daniel Hölbling, Carlos Henrique Grohmann
Geosciences (2025) Vol. 15, Iss. 3, pp. 77-77
Open Access
Mapping landslide susceptibility in the Eastern Mediterranean mountainous region: a machine learning perspective
Hazem Ghassan Abdo, Sahar Mohammed Richi, Pankaj Prasad, et al.
Environmental Earth Sciences (2025) Vol. 84, Iss. 9
Closed Access
Evaluation of landslide susceptibility based on SMOTE-Tomek sampling and machine learning algorithm
M. Lv, Kunlun Li, Jing Cai, et al.
PLoS ONE (2025) Vol. 20, Iss. 5, pp. e0323487-e0323487
Open Access
Quantitative evaluation of uncertainty and interpretability in machine learning-based landslide susceptibility mapping through feature selection and explainable AI
Xuan-Hien Le, Chanul Choi, Song Eu, et al.
Frontiers in Environmental Science (2024) Vol. 12
Open Access | Times Cited: 3
Utilizing deep learning approach to develop landslide susceptibility mapping considering landslide types
Yue Wang, Chao Zhou, Ying Cao, et al.
Bulletin of Engineering Geology and the Environment (2024) Vol. 83, Iss. 11
Closed Access | Times Cited: 3
Investigating the Effects of Different Data Classification Methods on Landslide Susceptibility Mapping
Halil Akıncı, Ayşe Yavuz Özalp
Advances in Space Research (2024)
Closed Access | Times Cited: 3
A hybrid-optimized Random Forest interpretable model for debris flow susceptibility by prior model-based negative sampling
Haijia Wen, Jiayi Li, Mingyong Liao, et al.
Advances in Space Research (2025)
Closed Access
An integrated landslide susceptibility assessment in the Karakoram Mountains based on SBAS-InSAR and machine learning: a case study of the Hunza Valley
Xiaojun Su, Yi Zhang, Xingmin Meng, et al.
Bulletin of Engineering Geology and the Environment (2025) Vol. 84, Iss. 6
Closed Access
Optimizing the Application of Machine Learning Models in Predicting Landslide Susceptibility Using the Information Value Model in Junlian County of Sichuan Basin
Lijun Qian, Lihua Ou, Guoxin Li, et al.
Advances in Space Research (2025)
Closed Access
A Comparative Study of Landslide Susceptibility Mapping Using Bagging PU Learning in Class-Prior Probability Shift Datasets
Lingran Zhao, Hangling Ma, Jiahui Dong, et al.
Remote Sensing (2023) Vol. 15, Iss. 23, pp. 5547-5547
Open Access | Times Cited: 4
Enhanced landslide susceptibility zonation using GIS-Based ensemble techniques
Ankur Sharma, Har Amrit Singh Sandhu, Claudia Cherubini
Environmental Earth Sciences (2024) Vol. 84, Iss. 1
Closed Access | Times Cited: 1
An Integrated Framework of Positive-Unlabeled and Imbalanced Learning for Landslide Susceptibility Mapping
Zijin Fu, Hao Ma, Fawu Wang, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 15596-15611
Open Access | Times Cited: 1
Exploring class imbalance with under-sampling, over-sampling, and hybrid sampling based on Mahalanobis distance for landslide susceptibility assessment: a case study of the 2018 Iburi earthquake induced landslides in Hokkaido, Japan
Kounghoon Nam, Jongtae Kim, Byung‐Gon Chae
Geosciences Journal (2023) Vol. 28, Iss. 1, pp. 71-94
Closed Access | Times Cited: 3
Spatial Analysis of Causative Factors for Landslide Susceptibility on Java Island
Ricky Jaya Kusuma, Irwan Meilano, Imam A. Sadisun, et al.
IOP Conference Series Earth and Environmental Science (2023) Vol. 1276, Iss. 1, pp. 012012-012012
Open Access | Times Cited: 1
Optimizing the Application of Machine Learning Models in Predicting Landslide Susceptibility Using the Information Value Model in Junlian County of Sichuan Basin
Lijun Qian, Lihua Ou, Guoxin Li, et al.
Research Square (Research Square) (2024)
Closed Access
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