Saro Lee

28.0k total citations · 13 hit papers
241 papers, 22.0k citations indexed

About

Saro Lee is a scholar working on Management, Monitoring, Policy and Law, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Saro Lee has authored 241 papers receiving a total of 22.0k indexed citations (citations by other indexed papers that have themselves been cited), including 143 papers in Management, Monitoring, Policy and Law, 139 papers in Global and Planetary Change and 49 papers in Environmental Engineering. Recurrent topics in Saro Lee's work include Landslides and related hazards (138 papers), Flood Risk Assessment and Management (116 papers) and Geotechnical Engineering and Analysis (47 papers). Saro Lee is often cited by papers focused on Landslides and related hazards (138 papers), Flood Risk Assessment and Management (116 papers) and Geotechnical Engineering and Analysis (47 papers). Saro Lee collaborates with scholars based in South Korea, Iran and Vietnam. Saro Lee's co-authors include Biswajeet Pradhan, Hyun‐Joo Oh, Mahdi Panahi, Joong‐Sun Won, Chang-Wook Lee, Jaewon Choi, Moung-Jin Lee, Fatemeh Rezaie, Hyung-Sup Jung and Inhye Park and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Environmental Pollution.

In The Last Decade

Saro Lee

233 papers receiving 21.3k citations

Hit Papers

Landslide hazard mapping at Selangor, Malaysia using freq... 2001 2026 2009 2017 2006 2009 2001 2005 2009 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Landslide hazard mapping at Selangor, Malaysia using frequency ratio and logistic regression models
    2006 848 citations Saro Lee, Biswajeet Pradhan profile →
  2. Landslide susceptibility assessment and factor effect analysis: backpropagation artificial neural networks and their comparison with frequency ratio and bivariate logistic regression modelling
    2009 780 citations Biswajeet Pradhan, Saro Lee Environmental Modelling & Software profile →
  3. Statistical analysis of landslide susceptibility at Yongin, Korea
    2001 628 citations Saro Lee et al. profile →
  4. Application of logistic regression model and its validation for landslide susceptibility mapping using GIS and remote sensing data
    2005 560 citations Saro Lee International Journal of Remote Sensing profile →
  5. Delineation of landslide hazard areas on Penang Island, Malaysia, by using frequency ratio, logistic regression, and artificial neural network models
    2009 538 citations Biswajeet Pradhan, Saro Lee profile →
  6. Probabilistic landslide susceptibility and factor effect analysis
    2005 462 citations Saro Lee et al. profile →
  7. Landslide susceptibility mapping in the Damrei Romel area, Cambodia using frequency ratio and logistic regression models
    2006 437 citations Saro Lee et al. profile →
  8. Evaluation of deep learning algorithms for national scale landslide susceptibility mapping of Iran
    2020 299 citations Mahdi Panahi, Khabat Khosravi et al. profile →
  9. Spatial prediction of groundwater potential mapping based on convolutional neural network (CNN) and support vector regression (SVR)
    2020 280 citations Mahdi Panahi, Fatemeh Rezaie et al. profile →
  10. Application of convolutional neural networks featuring Bayesian optimization for landslide susceptibility assessment
    2019 275 citations Biswajeet Pradhan, Saro Lee et al. profile →
  11. Meta optimization of an adaptive neuro-fuzzy inference system with grey wolf optimizer and biogeography-based optimization algorithms for spatial prediction of landslide susceptibility
    2019 217 citations Abolfazl Jaafari, Mahdi Panahi et al. profile →
  12. Spatial flood susceptibility mapping using an explainable artificial intelligence (XAI) model
    2023 133 citations Biswajeet Pradhan, Saro Lee et al. profile →
  13. An explainable AI (XAI) model for landslide susceptibility modeling
    2023 120 citations Biswajeet Pradhan, Saro Lee et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Saro Lee South Korea 86 13.5k 13.4k 5.3k 3.7k 3.6k 241 22.0k
Dieu Tien Bui Vietnam 103 16.1k 1.2× 13.4k 1.0× 6.3k 1.2× 3.6k 1.0× 4.7k 1.3× 274 29.3k
Hamid Reza Pourghasemi Iran 89 15.6k 1.2× 11.3k 0.8× 7.9k 1.5× 2.4k 0.7× 5.8k 1.6× 267 24.9k
Binh Thai Pham Vietnam 87 11.3k 0.8× 8.8k 0.7× 4.5k 0.9× 2.5k 0.7× 3.8k 1.1× 290 22.2k
Haoyuan Hong China 64 9.0k 0.7× 7.4k 0.6× 2.2k 0.4× 1.7k 0.5× 2.5k 0.7× 101 13.1k
Himan Shahabi Iran 71 9.2k 0.7× 6.0k 0.4× 3.4k 0.7× 1.2k 0.3× 3.3k 0.9× 154 13.6k
Fausto Guzzetti Italy 74 13.3k 1.0× 23.1k 1.7× 1.3k 0.2× 4.8k 1.3× 704 0.2× 224 25.5k
C.J. van Westen Netherlands 63 7.6k 0.6× 12.5k 0.9× 1.0k 0.2× 3.2k 0.9× 371 0.1× 304 15.8k
Thomas Blaschke Austria 74 10.3k 0.8× 5.0k 0.4× 5.4k 1.0× 725 0.2× 1.4k 0.4× 339 22.3k
Indra Prakash Vietnam 49 5.2k 0.4× 3.8k 0.3× 2.1k 0.4× 996 0.3× 1.7k 0.5× 124 8.8k

Countries citing papers authored by Saro Lee

Since Specialization
Citations

This map shows the geographic impact of Saro Lee's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Saro Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saro Lee more than expected).

Fields of papers citing papers by Saro Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Saro Lee. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Saro Lee. The network helps show where Saro Lee may publish in the future.

Co-authorship network of co-authors of Saro Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Saro Lee. A scholar is included among the top collaborators of Saro Lee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Saro Lee. Saro Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lee, Saro, et al.. (2025). Development of an advanced numerical simulation program considering debris flow and driftwood behavior. Environmental Modelling & Software. 186. 106366–106366.
2.
Rezaie, Fatemeh, Mahdi Panahi, Sayed M. Bateni, et al.. (2023). Development of novel optimized deep learning algorithms for wildfire modeling: A case study of Maui, Hawai‘i. Engineering Applications of Artificial Intelligence. 125. 106699–106699. 11 indexed citations
3.
Arabameri, Alireza, Subodh Chandra Pal, Fatemeh Rezaie, et al.. (2021). Modeling groundwater potential using novel GIS-based machine-learning ensemble techniques. Journal of Hydrology Regional Studies. 36. 100848–100848. 90 indexed citations
4.
Lee, Saro, et al.. (2021). Construction of Topographic/Hydrologic Data using DEM and its Service 2. SHILAP Revista de lepidopterología. 3(4). 1–10. 1 indexed citations
5.
Nhu, Viet‐Ha, Saeid Janizadeh, Mohammadtaghi Avand, et al.. (2020). GIS-Based Gully Erosion Susceptibility Mapping: A Comparison of Computational Ensemble Data Mining Models. Applied Sciences. 10(6). 2039–2039. 87 indexed citations
6.
Lee, Saro, et al.. (2020). Status of Groundwater Potential Mapping Research Using GIS and Machine Learning. National Remote Sensing Bulletin. 36(6). 1277–1290. 3 indexed citations
7.
Pal, Subodh Chandra, Alireza Arabameri, Thomas Blaschke, et al.. (2020). Ensemble of Machine-Learning Methods for Predicting Gully Erosion Susceptibility. Remote Sensing. 12(22). 3675–3675. 68 indexed citations
8.
Lee, Saro. (2019). Current and Future Status of GIS-based Landslide Susceptibility Mapping: A Literature Review. National Remote Sensing Bulletin. 35(1). 179–193. 54 indexed citations
9.
Lee, Sunmin, Moung-Jin Lee, Hyung-Sup Jung, & Saro Lee. (2019). Landslide susceptibility mapping using Naïve Bayes and Bayesian network models in Umyeonsan, Korea. Geocarto International. 35(15). 1665–1679. 71 indexed citations
10.
Janizadeh, Saeid, Mohammadtaghi Avand, Abolfazl Jaafari, et al.. (2019). Prediction Success of Machine Learning Methods for Flash Flood Susceptibility Mapping in the Tafresh Watershed, Iran. Sustainability. 11(19). 5426–5426. 216 indexed citations
11.
Pham, Binh Thai, Ataollah Shirzadi, Himan Shahabi, et al.. (2019). Landslide Susceptibility Assessment by Novel Hybrid Machine Learning Algorithms. Sustainability. 11(16). 4386–4386. 156 indexed citations
12.
Lee, Saro & Hyun‐Joo Oh. (2019). Landslide Susceptibility Prediction using Evidential Belief Function, Weight of Evidence and Artificial Neural Network Models. National Remote Sensing Bulletin. 35(2). 299–316. 10 indexed citations
13.
Tuyen, Tran Thi, Ataollah Shirzadi, Binh Thai Pham, et al.. (2019). Development of a Novel Hybrid Intelligence Approach for Landslide Spatial Prediction. Applied Sciences. 9(14). 2824–2824. 57 indexed citations
14.
Bui, Dieu Tien, Himan Shahabi, Ebrahim Omidvar, et al.. (2019). Shallow Landslide Prediction Using a Novel Hybrid Functional Machine Learning Algorithm. Remote Sensing. 11(8). 931–931. 99 indexed citations
15.
Nohani, Ebrahim, Meysam Moharrami, Khabat Khosravi, et al.. (2019). Landslide Susceptibility Mapping Using Different GIS-Based Bivariate Models. Water. 11(7). 1402–1402. 186 indexed citations
16.
Bui, Dieu Tien, Himan Shahabi, Ataollah Shirzadi, et al.. (2018). Land Subsidence Susceptibility Mapping in South Korea Using Machine Learning Algorithms. Sensors. 18(8). 2464–2464. 143 indexed citations
17.
Oh, Hyun‐Joo, et al.. (2011). Extraction of landslide-related factors from ASTER imagery and its application to landslide susceptibility mapping. International Journal of Remote Sensing. 33(10). 3211–3231. 34 indexed citations
18.
Choi, Jaewon, et al.. (2003). LANDSLIDE SUSCEPTIBILITY MAPPING AND VERIFICATION USING THE GIS AND BAYESIAN PROBABILITY MODEL IN BOEUN, KOREA. Economic and Environmental Geology. 37(2). 100–100. 1 indexed citations
19.
Lee, Saro, et al.. (2002). Relationship Analysis between Lithology, Geological time and Geothermal Gradient of South Korea. Economic and Environmental Geology. 35(2). 8–170. 1 indexed citations
20.
Lee, Saro, et al.. (2002). Weight Determination of Landslide Factors Using Artificial Neural Networks. Economic and Environmental Geology. 35(1). 6–74.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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