Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Predicting susceptibility to landslides under climate change impacts in metropolitan areas of South Korea using machine learning
Sang-Jin Park, Dong-kun Lee
Geomatics Natural Hazards and Risk (2021) Vol. 12, Iss. 1, pp. 2462-2476
Open Access | Times Cited: 25

Showing 25 citing articles:

Development of hazard capacity factor design model for net-zero: Evaluation of the flood adaptation effects considering green - gray infrastructure interaction
Jaekyoung Kim, Junsuk Kang
Sustainable Cities and Society (2023) Vol. 96, pp. 104625-104625
Closed Access | Times Cited: 24
Assessing the impact of climate change on rainfall-triggered landslides: a case study in California
Shabnam J. Semnani, Yi Han, C. Bonfils, et al.
Landslides (2025)
Open Access | Times Cited: 1
Potential impacts of future climate on the spatio-temporal variability of landslide susceptibility in Iran using machine learning algorithms and CMIP6 climate-change scenarios
Saeid Janizadeh, Sayed M. Bateni, Changhyun Jun, et al.
Gondwana Research (2023) Vol. 124, pp. 1-17
Closed Access | Times Cited: 21
Landslide Susceptibility Mapping Using Machine Learning: A Danish Case Study
Angelina Ageenko, Lærke Christina Hansen, Kevin Lundholm Lyng, et al.
ISPRS International Journal of Geo-Information (2022) Vol. 11, Iss. 6, pp. 324-324
Open Access | Times Cited: 23
A Comparison Study of Landslide Susceptibility Spatial Modeling Using Machine Learning
Nurwatik Nurwatik, Muhammad Hidayatul Ummah, Agung Budi Cahyono, et al.
ISPRS International Journal of Geo-Information (2022) Vol. 11, Iss. 12, pp. 602-602
Open Access | Times Cited: 20
Multi-Hazard Assessment for Flood and Landslide Risk in Kalimantan and Sumatra: Implications for Nusantara, Indonesia's New Capital
Sujung Heo, Wonmin Sohn, Sang-Jin Park, et al.
Heliyon (2024) Vol. 10, Iss. 18, pp. e37789-e37789
Open Access | Times Cited: 4
Spatiotemporal dynamics of landslide susceptibility under future climate change and land use scenarios
Kashif Ullah, Yi Wang, Penglei Li, et al.
Environmental Research Letters (2024) Vol. 19, Iss. 12, pp. 124016-124016
Open Access | Times Cited: 4
Machine learning-based rainfall-induced landslide susceptibility model and short-term early warning assessment in South Korea
Sujong Lee, Minwoo Roh, Hyun‐Woo Jo, et al.
Landslides (2025)
Open Access
Prediction of the volume of shallow landslides due to rainfall using data-driven models
Jérémie Tuganishuri, Chan-Young Yune, Gihong Kim, et al.
Natural hazards and earth system sciences (2025) Vol. 25, Iss. 4, pp. 1481-1499
Open Access
Multi-hazard exposure mapping under climate crisis using random forest algorithm for the Kalimantan Islands, Indonesia
Sujung Heo, Sang-Jin Park, Dong Kun Lee
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 9
Developing a new method for future groundwater potentiality mapping under climate change in Bisha watershed, Saudi Arabia
Javed Mallick, Mohammed K. Al Mesfer, Majed Alsubih, et al.
Geocarto International (2022) Vol. 37, Iss. 26, pp. 14495-14527
Closed Access | Times Cited: 12
Development of multiclass alternating decision trees based models for landslide susceptibility mapping
Binh Thai Pham, Abolfazl Jaafari, Dam Duc Nguyen, et al.
Physics and Chemistry of the Earth Parts A/B/C (2022) Vol. 128, pp. 103235-103235
Closed Access | Times Cited: 11
Risk Mapping of Geological Hazards in Plateau Mountainous Areas Based on Multisource Remote Sensing Data Extraction and Machine Learning (Fuyuan, China)
Shaohan Zhang, Shucheng Tan, Yongqi Sun, et al.
Land (2024) Vol. 13, Iss. 9, pp. 1361-1361
Open Access | Times Cited: 2
Using Deep Learning to Formulate the Landslide Rainfall Threshold of the Potential Large-Scale Landslide
Jie‐Lun Chiang, Chia-Ming Kuo, Leila Fazeldehkordi
Water (2022) Vol. 14, Iss. 20, pp. 3320-3320
Open Access | Times Cited: 8
Can Forest-Related Adaptive Capacity Reduce Landslide Risk Attributable to Climate Change?—Case of Republic of Korea
Chul-Hee Lim, Hyun Kim
Forests (2022) Vol. 13, Iss. 1, pp. 49-49
Open Access | Times Cited: 7
Modeling Shallow Landslide Runout Distance in Eocene Flysch Facies Using Empirical–Statistical Models (Western Black Sea Region of Türkiye)
Müge Pınar Kömü, Hakan A. Nefeslioğlu, Candan Gökçeoğlu
ISPRS International Journal of Geo-Information (2024) Vol. 13, Iss. 3, pp. 84-84
Open Access | Times Cited: 1
Spatial prediction of changes in landslide susceptibility under extreme daily rainfall from the cmip6 multi-model ensemble
Thapthai Chaithong, Monnapat Sasingha, Sartsin Phakdimek
Theoretical and Applied Climatology (2024) Vol. 155, Iss. 7, pp. 6771-6795
Closed Access | Times Cited: 1
Would the Kalimantan Islands of Indonesia be secure against droughts and forest fires in a changing climate?
Sujung Heo, Sang-Jin Park, Dong Kun Lee
Research Square (Research Square) (2023)
Open Access | Times Cited: 2
Landslide Susceptibility Assessment Based on Machine Learning Techniques
Jierui Li, Wen He, Lingke Qiu, et al.
Disaster risk reduction (2024), pp. 3-26
Closed Access
Landslide Hazard and Risk Management Framework for Alaknanda Basin in the Indian Himalayan Region
Mitthan Lal Kansal, Sachchidanand Singh
Advances in natural and technological hazards research (2024), pp. 621-644
Closed Access
Multi-Hazard Assessment for Flood and Landslide Risks in Kalimantan and Sumatra: Implications for Indonesia's New Capital, Nusantara
Su Jeong Heo, Dong Kun Lee, Wonmin Sohn, et al.
(2024)
Closed Access
Post-war LULC Change Trajectories Indicate Rising Human Activities in the Okavango Basin
Blessing Kavhu, Zama Eric Mashimbye, Linda Luvuno
Southern space studies (2024), pp. 189-206
Closed Access
Nonstructural landslide mitigation of the Republic of Korea
Song Eu, Junpyo Seo, Kihwan Lee, et al.
Landslides (2024)
Open Access
Climate Downscaling and Prediction Using GIS-Based Machine Learning
Subasish Mohapatra, Mainak Kundu, Subhadarshini Mohanty
2022 Second International Conference on Computer Science, Engineering and Applications (ICCSEA) (2022), pp. 1-6
Closed Access | Times Cited: 1
Classifying knowledge on climate change induced landslides in retrospect and prospect: A state-of-the-art review
Aastha Sharma, Haroon Sajjad, Roshani Singh, et al.
Research Square (Research Square) (2023)
Open Access
Page 1

Scroll to top