Dae Hoe Kim

About

Dae Hoe Kim is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Dae Hoe Kim has authored 25 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 16 papers in Computer Vision and Pattern Recognition and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Dae Hoe Kim’s work include AI in cancer detection (17 papers), Image Retrieval and Classification Techniques (7 papers) and Digital Radiography and Breast Imaging (7 papers). Dae Hoe Kim is often cited by papers focused on AI in cancer detection (17 papers), Image Retrieval and Classification Techniques (7 papers) and Digital Radiography and Breast Imaging (7 papers). Dae Hoe Kim collaborates with scholars based in South Korea and Canada. Dae Hoe Kim's co-authors include Yong Man Ro, Wissam J. Baddar, Jinhyeok Jang, Jae Young Choi, Konstantinos N. Plataniotis, Seong Tae Kim, Seung Hyun Lee, Jung Min Chang, Seon Hyeong Choi and Eun Suk and has published in prestigious journals such as Expert Systems with Applications, Physics in Medicine and Biology and Medical Physics.

In The Last Decade

Co-authorship network of co-authors of Dae Hoe Kim i

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Fields of papers citing papers by Dae Hoe Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dae Hoe Kim

Since Specialization

Citations

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