Saro Lee
Impact in
- Management, Monitoring, Policy and Law top 0.01%
- Landslides and related hazards
- Global and Planetary Change top 0.02%
- Flood Risk Assessment and Management
- Fire effects on ecosystems
Papers in
-
- Landslides and related hazards 138
-
- Flood Risk Assessment and Management 117
- Fire effects on ecosystems 45
- Co-authors
- Biswajeet Pradhan (33 shared papers)Hyun‐Joo Oh (33 shared papers)Mahdi Panahi (42 shared papers)Joong‐Sun Won (17 shared papers)Chang-Wook Lee (23 shared papers)Jaewon Choi (10 shared papers)Moung-Jin Lee (20 shared papers)Hyung-Sup Jung (16 shared papers)
- Journals
- Environmental Earth Sciences (17 papers)Remote Sensing (17 papers)Geocarto International (10 papers)Sustainability (10 papers)Applied Sciences (10 papers)
- Partner nations
- South KoreaIranVietnam
In The Last Decade
Saro Lee
236 papers receiving 22.6k citations
Saro Lee's Hit Papers
Peers
Comparison fields: 5 of 164
- Management, Monitoring, Policy and Law 14.0k
- Global and Planetary Change 14.1k
- Safety, Risk, Reliability and Quality 3.8k
- Environmental Engineering 5.5k
- Water Science and Technology 3.7k
Countries citing papers authored by Saro Lee
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
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-authors
The 25 scholars most cited alongside Saro Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 244 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Landslide hazard mapping at Selangor, Malaysia using frequency ratio and logistic regression models Hit paper breakdown → | 2006 | 924 |
| 2 | Landslide susceptibility assessment and factor effect analysis: backpropagation artificial neural networks and their comparison with frequency ratio and bivariate logistic regression modelling Hit paper breakdown → | 2009 | 838 |
| 3 | Statistical analysis of landslide susceptibility at Yongin, Korea Hit paper breakdown → | 2001 | 662 |
| 4 | Application of logistic regression model and its validation for landslide susceptibility mapping using GIS and remote sensing data Hit paper breakdown → | 2005 | 599 |
| 5 | Delineation of landslide hazard areas on Penang Island, Malaysia, by using frequency ratio, logistic regression, and artificial neural network models Hit paper breakdown → | 2009 | 583 |
| 6 | Determination and application of the weights for landslide susceptibility mapping using an artificial neural network Hit paper breakdown → | 2003 | 511 |
| 7 | Probabilistic landslide susceptibility and factor effect analysis Hit paper breakdown → | 2005 | 502 |
| 8 | Landslide susceptibility mapping in the Damrei Romel area, Cambodia using frequency ratio and logistic regression models Hit paper breakdown → | 2006 | 459 |
| 9 | 2009 | 410 | |
| 10 | 2010 | 397 | |
| 11 | 2006 | 333 | |
| 12 | Application of an evidential belief function model in landslide susceptibility mapping Hit paper breakdown → | 2012 | 325 |
| 13 | Evaluation of deep learning algorithms for national scale landslide susceptibility mapping of Iran Hit paper breakdown → | 2020 | 323 |
| 14 | Spatial prediction of flood susceptibility using random-forest and boosted-tree models in Seoul metropolitan city, Korea Hit paper breakdown → | 2017 | 320 |
| 15 | Spatial prediction of groundwater potential mapping based on convolutional neural network (CNN) and support vector regression (SVR) Hit paper breakdown → | 2020 | 299 |
| 16 | Application of convolutional neural networks featuring Bayesian optimization for landslide susceptibility assessment Hit paper breakdown → | 2019 | 297 |
| 17 | 2012 | 296 | |
| 18 | 2014 | 290 | |
| 19 | 2011 | 272 | |
| 20 | 2017 | 243 |
About Saro Lee
Saro Lee is a scholar working on Management, Monitoring, Policy and Law, Global and Planetary Change, Environmental Engineering, Safety, Risk, Reliability and Quality and Water Science and Technology, having authored 244 papers that have together received 23.2k indexed citations. Recurring topics across this work include Landslides and related hazards (138 papers), Flood Risk Assessment and Management (117 papers), Geotechnical Engineering and Analysis (45 papers), Fire effects on ecosystems (45 papers), Hydrology and Watershed Management Studies (43 papers), Groundwater and Watershed Analysis (35 papers), Geochemistry and Geologic Mapping (23 papers) and Cryospheric studies and observations (23 papers). The work is most often cited by research in Management, Monitoring, Policy and Law (14.0k citations), Global and Planetary Change (14.1k citations), Safety, Risk, Reliability and Quality (3.8k citations), Environmental Engineering (5.5k citations) and Water Science and Technology (3.7k citations). Saro Lee has collaborated with scholars based in South Korea, Iran and Vietnam. Frequent co-authors include Biswajeet Pradhan, Hyun‐Joo Oh, Mahdi Panahi, Joong‐Sun Won, Chang-Wook Lee, Jaewon Choi, Moung-Jin Lee, Hyung-Sup Jung, Fatemeh Rezaie and Inhye Park. Their work appears in journals such as Environmental Earth Sciences, Remote Sensing, Geocarto International, Sustainability and Applied Sciences.
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.