Sung Ju Hwang

65 papers and 1.1k indexed citations i.

About

Sung Ju Hwang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Sung Ju Hwang has authored 65 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Artificial Intelligence, 32 papers in Computer Vision and Pattern Recognition and 4 papers in Signal Processing. Recurrent topics in Sung Ju Hwang’s work include Domain Adaptation and Few-Shot Learning (30 papers), Multimodal Machine Learning Applications (13 papers) and Topic Modeling (13 papers). Sung Ju Hwang is often cited by papers focused on Domain Adaptation and Few-Shot Learning (30 papers), Multimodal Machine Learning Applications (13 papers) and Topic Modeling (13 papers). Sung Ju Hwang collaborates with scholars based in South Korea, United States and Canada. Sung Ju Hwang's co-authors include Kristen Grauman, Jonghee Kim, Youngwan Lee, Eunho Yang, Jaehong Yoon, Sangil Jung, Seohyung Lee, Youngjun Kwak, Changkyu Choi and Changyong Son and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, New Phytologist and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Sung Ju Hwang i

Fields of papers citing papers by Sung Ju Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sung Ju Hwang. 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 Sung Ju Hwang. The network helps show where Sung Ju Hwang may publish in the future.

Countries citing papers authored by Sung Ju Hwang

Since Specialization
Citations

This map shows the geographic impact of Sung Ju Hwang'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 Sung Ju Hwang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sung Ju Hwang 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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2025