Jongbin Ryu

635 total citations
26 papers, 332 citations indexed

About

Jongbin Ryu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Surgery. According to data from OpenAlex, Jongbin Ryu has authored 26 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 5 papers in Surgery. Recurrent topics in Jongbin Ryu's work include Advanced Image and Video Retrieval Techniques (7 papers), COVID-19 diagnosis using AI (5 papers) and Domain Adaptation and Few-Shot Learning (5 papers). Jongbin Ryu is often cited by papers focused on Advanced Image and Video Retrieval Techniques (7 papers), COVID-19 diagnosis using AI (5 papers) and Domain Adaptation and Few-Shot Learning (5 papers). Jongbin Ryu collaborates with scholars based in South Korea, United States and Canada. Jongbin Ryu's co-authors include Sungeun Hong, Hyun Suk Yang, Jongwoo Lim, Hyun Suk Yang, Jaehoon Oh, Ming–Hsuan Yang, Namkug Kim, Bo-Kyeong Kang, Won Hwa Kim and Sungeun Kim and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and IEEE Transactions on Image Processing.

In The Last Decade

Jongbin Ryu

25 papers receiving 317 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jongbin Ryu South Korea	9	226	55	41	40	36	26	332
Bernd Münzer Austria	9	218 1.0×	48 0.9×	71 1.7×	32 0.8×	34 0.9×	20	320
Yun Zhu China	9	156 0.7×	31 0.6×	14 0.3×	40 1.0×	101 2.8×	36	274
Takuma Shibahara Japan	8	116 0.5×	100 1.8×	9 0.2×	18 0.5×	20 0.6×	15	357
Tae Hyun Kim South Korea	11	236 1.0×	48 0.9×	30 0.7×	30 0.8×	19 0.5×	30	426
Yao Cheng China	12	143 0.6×	78 1.4×	21 0.5×	12 0.3×	72 2.0×	27	363
Weiming Li China	10	65 0.3×	30 0.5×	13 0.3×	19 0.5×	81 2.3×	27	274
Biwen Lei China	6	150 0.7×	52 0.9×	11 0.3×	6 0.1×	73 2.0×	10	276
Yinghao Zhu China	9	80 0.4×	70 1.3×	13 0.3×	10 0.3×	8 0.2×	24	233

Countries citing papers authored by Jongbin Ryu

Since Specialization

Citations

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

Fields of papers citing papers by Jongbin Ryu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jongbin Ryu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Lee, Dong‐Hyun, et al.. (2025). Do Your Best and Get Enough Rest for Continual Learning. 10077–10086.

Kim, Namkug, et al.. (2024). Attentional decoder networks for chest X-ray image recognition on high-resolution features. Computer Methods and Programs in Biomedicine. 251. 108198–108198. 3 indexed citations

Oh, Seungmin, Namkug Kim, & Jongbin Ryu. (2024). Analyzing to discover origins of CNNs and ViT architectures in medical images. Scientific Reports. 14(1). 5 indexed citations

Kim, Won Hwa, et al.. (2024). Style-KD: Class-imbalanced medical image classification via style knowledge distillation. Biomedical Signal Processing and Control. 91. 105928–105928. 6 indexed citations

Ryu, Jongbin, et al.. (2024). Fine-Grained Self-Supervised Learning with Jigsaw puzzles for medical image classification. Computers in Biology and Medicine. 174. 108460–108460. 8 indexed citations

Oh, Jaehoon, et al.. (2023). Effect of Contrast Level and Image Format on a Deep Learning Algorithm for the Detection of Pneumothorax with Chest Radiography. Journal of Digital Imaging. 36(3). 1237–1247. 3 indexed citations

Ryu, Jongbin, Dongyoon Han, & Jongwoo Lim. (2023). Gramian Attention Heads are Strong yet Efficient Vision Learners. 5818–5828. 1 indexed citations

Kim, Sungeun, et al.. (2023). Robust Asymmetric Loss for Multi-Label Long-Tailed Learning. 2703–2712. 7 indexed citations

Kang, Bo-Kyeong, Yelin Han, Jaehoon Oh, et al.. (2022). Automatic Segmentation for Favourable Delineation of Ten Wrist Bones on Wrist Radiographs Using Convolutional Neural Network. Journal of Personalized Medicine. 12(5). 776–776. 2 indexed citations

10.

Oh, Jaehoon, et al.. (2022). Classification of Central Venous Catheter Tip Position on Chest X-ray Using Artificial Intelligence. Journal of Personalized Medicine. 12(10). 1637–1637. 5 indexed citations

11.

Ryu, Jongbin, et al.. (2020). Generalized Convolutional Forest Networks for Domain Generalization and Visual Recognition. International Conference on Learning Representations. 5 indexed citations

12.

Ryu, Jongbin, Jaehoon Oh, Jongwoo Lim, et al.. (2020). Deep learning algorithms for detecting and visualising intussusception on plain abdominal radiography in children: a retrospective multicenter study. Scientific Reports. 10(1). 17582–17582. 19 indexed citations

13.

Ryu, Jongbin, Ming–Hsuan Yang, & Jongwoo Lim. (2020). Unsupervised feature learning for self-tuning neural networks. Neural Networks. 133. 103–111. 6 indexed citations

14.

Hong, Sungeun & Jongbin Ryu. (2020). Attention‐guided adaptation factors for unsupervised facial domain adaptation. Electronics Letters. 56(16). 816–818. 7 indexed citations

15.

Ryu, Jongbin, et al.. (2020). End-to-End Learning for Omnidirectional Stereo Matching With Uncertainty Prior. IEEE Transactions on Pattern Analysis and Machine Intelligence. 43(11). 3850–3862. 27 indexed citations

16.

Ryu, Jongbin, et al.. (2019). OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching. 8986–8995. 31 indexed citations

17.

Hong, Sungeun, et al.. (2017). SSPP-DAN: Deep domain adaptation network for face recognition with single sample per person. 825–829. 46 indexed citations

18.

Hong, Sungeun, Jongbin Ryu, & Hyun Suk Yang. (2016). Not all frames are equal: aggregating salient features for dynamic texture classification. Multidimensional Systems and Signal Processing. 29(1). 279–298. 19 indexed citations

19.

Ryu, Jongbin & Hyun Suk Yang. (2016). Locality-preserving descriptor for robust texture feature representation. Neurocomputing. 214. 729–738. 2 indexed citations

20.

Ryu, Jongbin, et al.. (2007). Ultrasonographic findings of small bowel intussusception, focusing on differentiation from ileocolic intussusception. British Journal of Radiology. 80(958). 798–802. 23 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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