Seong‐heum Kim

16 papers and 195 indexed citations i.

About

Seong‐heum Kim is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Seong‐heum Kim has authored 16 papers receiving a total of 195 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Aerospace Engineering. Recurrent topics in Seong‐heum Kim’s work include Advanced Neural Network Applications (7 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Seong‐heum Kim is often cited by papers focused on Advanced Neural Network Applications (7 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Seong‐heum Kim collaborates with scholars based in South Korea, United States and Hong Kong. Seong‐heum Kim's co-authors include Deepak Ghimire, Youngbae Hwang, In So Kweon, A. S. M. Sanwar Hosen, Joon‐Young Lee, Mohit Kumar, Sahil Verma, Pronaya Bhattacharya, Ashwani Kumar and Sunghoon Im and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Access and Applied Sciences.

In The Last Decade

Co-authorship network of co-authors of Seong‐heum Kim i

Fields of papers citing papers by Seong‐heum Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Seong‐heum Kim

Since Specialization
Citations

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

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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