Hyesu Kim

427 total citations · 2 hit papers
6 papers, 294 citations indexed

About

Hyesu Kim is a scholar working on Environmental Engineering, Radiological and Ultrasound Technology and Artificial Intelligence. According to data from OpenAlex, Hyesu Kim has authored 6 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Environmental Engineering, 2 papers in Radiological and Ultrasound Technology and 2 papers in Artificial Intelligence. Recurrent topics in Hyesu Kim's work include Geochemistry and Geologic Mapping (2 papers), Flood Risk Assessment and Management (2 papers) and Radioactivity and Radon Measurements (2 papers). Hyesu Kim is often cited by papers focused on Geochemistry and Geologic Mapping (2 papers), Flood Risk Assessment and Management (2 papers) and Radioactivity and Radon Measurements (2 papers). Hyesu Kim collaborates with scholars based in South Korea, Malaysia and United States. Hyesu Kim's co-authors include Saro Lee, Biswajeet Pradhan, Abhirup Dikshit, Sung Won Kim, Mahdi Panahi, Fatemeh Rezaie, Jaehyung Yu, Lei Wang, Ji-Eun Kim and Sayed M. Bateni and has published in prestigious journals such as Environment International, Remote Sensing and Applied Soft Computing.

In The Last Decade

Hyesu Kim

6 papers receiving 292 citations

Hit Papers

Spatial flood susceptibility mapping using an explainable... 2023 2026 2024 2025 2023 2023 40 80 120

Peers

Hyesu Kim
Comparison fields: 5 of 56
  • Global and Planetary Change 164
  • Management, Monitoring, Policy and Law 109
  • Environmental Engineering 80
  • Artificial Intelligence 55
  • Water Science and Technology 53
Replace Manik Das Adhikari with:
Manik Das Adhikari South Korea
Arip Syaripudin Nur South Korea
Jagabandhu Dixit India
Caterina Negulescu France
Seyed Vahid Razavi Termeh Iran
Irjesh Sonker India
Rodeano Roslee Malaysia
Richard A. Coffman United States
Lianjing Zheng China
Fereshteh Taromideh Iran
Manik Das Adhikari South Korea View profile →
Citations per field, relative to Hyesu Kim
Hyesu Kim · 1×
Citations per year, relative to Hyesu Kim
Hyesu Kim · 1×

Countries citing papers authored by Hyesu Kim

Since Specialization
Citations

This map shows the geographic impact of Hyesu Kim'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 Hyesu Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyesu Kim more than expected).

Fields of papers citing papers by Hyesu Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hyesu Kim. 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 Hyesu Kim. The network helps show where Hyesu Kim may publish in the future.

Co-authorship network of co-authors of Hyesu Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Hyesu Kim. A scholar is included among the top collaborators of Hyesu Kim 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 Hyesu Kim. Hyesu Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
# Work Indexed citations
1
Spatial flood susceptibility mapping using an explainable artificial intelligence (XAI) model breakdown →
133
2
An explainable AI (XAI) model for landslide susceptibility modeling breakdown →
120
3 19
4 2
5 12
6 8

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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2026