Byungseok Roh

711 total citations
6 papers, 134 citations indexed

About

Byungseok Roh is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Byungseok Roh has authored 6 papers receiving a total of 134 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 1 paper in Signal Processing. Recurrent topics in Byungseok Roh's work include Domain Adaptation and Few-Shot Learning (5 papers), Multimodal Machine Learning Applications (5 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Byungseok Roh is often cited by papers focused on Domain Adaptation and Few-Shot Learning (5 papers), Multimodal Machine Learning Applications (5 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Byungseok Roh collaborates with scholars based in Germany, Japan and South Korea. Byungseok Roh's co-authors include Jonghwan Mun, Junbum Cha, Ildoo Kim, Sungwoong Kim, Ji Eun Lee, Joonmyung Choi, Sungjun Lee and Hyunwoo J. Kim and has published in prestigious journals such as .

In The Last Decade

Byungseok Roh

6 papers receiving 127 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Byungseok Roh Germany	6	81	79	9	8	6	6	134
Ildoo Kim Germany	3	65 0.8×	78 1.0×	10 1.1×	12 1.5×	9 1.5×	4	115
Namyup Kim South Korea	5	171 2.1×	121 1.5×	6 0.7×	10 1.3×	4 0.7×	6	220
Hangjie Yuan China	7	140 1.7×	91 1.2×	6 0.7×	6 0.8×	13 2.2×	12	175
Jiannan Wu Hong Kong	4	159 2.0×	95 1.2×	10 1.1×	11 1.4×	7 1.2×	5	225
AJ Piergiovanni United States	5	100 1.2×	72 0.9×	9 1.0×	6 0.8×	7 1.2×	13	127
Peyman Passban Ireland	7	82 1.0×	150 1.9×	4 0.4×	5 0.6×	3 0.5×	14	183
Jaehong Yoon South Korea	6	56 0.7×	81 1.0×	4 0.4×	7 0.9×	5 0.8×	9	115
Ping Luo China	5	61 0.8×	49 0.6×	14 1.6×	11 1.4×	5 0.8×	10	136
Tianyi Liang China	7	64 0.8×	52 0.7×	6 0.7×	5 0.6×	2 0.3×	16	106
Jonas Geiping United States	4	85 1.0×	54 0.7×	14 1.6×	6 0.8×	3 0.5×	16	148

Countries citing papers authored by Byungseok Roh

Since Specialization

Citations

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

Fields of papers citing papers by Byungseok Roh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Byungseok Roh

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

All Works

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6 of 6 papers shown

1.

Cha, Junbum, et al.. (2024). Honeybee: Locality-Enhanced Projector for Multimodal LLM. 13817–13827. 19 indexed citations

2.

Choi, Joonmyung, et al.. (2023). MELTR: Meta Loss Transformer for Learning to Fine-tune Video Foundation Models. 20105–20115. 14 indexed citations

3.

Lee, Ji Eun, et al.. (2023). Large Language Models are Temporal and Causal Reasoners for Video Question Answering. 4300–4316. 9 indexed citations

4.

Mun, Jonghwan, et al.. (2023). Noise-aware Learning from Web-crawled Image-Text Data for Image Captioning. 2930–2940. 7 indexed citations

5.

Cha, Junbum, Jonghwan Mun, & Byungseok Roh. (2023). Learning to Generate Text-Grounded Mask for Open-World Semantic Segmentation from Only Image-Text Pairs. 11165–11174. 33 indexed citations

6.

Roh, Byungseok, et al.. (2021). Spatially Consistent Representation Learning. 1144–1153. 52 indexed citations

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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