Youngjin Yoo

1.5k total citations · 1 hit paper
30 papers, 748 citations indexed

About

Youngjin Yoo is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Youngjin Yoo has authored 30 papers receiving a total of 748 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Computer Vision and Pattern Recognition and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Youngjin Yoo's work include Advanced MRI Techniques and Applications (6 papers), Image and Signal Denoising Methods (4 papers) and Medical Imaging Techniques and Applications (4 papers). Youngjin Yoo is often cited by papers focused on Advanced MRI Techniques and Applications (6 papers), Image and Signal Denoising Methods (4 papers) and Medical Imaging Techniques and Applications (4 papers). Youngjin Yoo collaborates with scholars based in Canada, United States and South Korea. Youngjin Yoo's co-authors include Roger Tam, David K.B. Li, Anthony Traboulsee, Tom Brosch, Lisa Tang, Shannon Kolind, Irene M. Vavasour, Alex L. MacKay, Bogdan Georgescu and Dorin Comaniciu and has published in prestigious journals such as Neurology, International Journal of Radiation Oncology*Biology*Physics and Magnetic Resonance in Medicine.

In The Last Decade

Youngjin Yoo

29 papers receiving 727 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Deep 3D Convolutional Encoder Networks With Shortcuts for Multiscale Feature Integration Applied to Multiple Sclerosis Lesion Segmentation

2016 306 citations Tom Brosch, Lisa Tang et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Youngjin Yoo Canada	13	388	228	203	155	102	30	748
Tom Brosch Germany	10	288 0.7×	278 1.2×	215 1.1×	169 1.1×	76 0.7×	20	699
Alfiia Galimzianova United States	8	438 1.1×	379 1.7×	263 1.3×	354 2.3×	41 0.4×	15	1.0k
Dimitris Samaras United States	12	427 1.1×	422 1.9×	684 3.4×	59 0.4×	52 0.5×	28	1.0k
Kelei He China	16	580 1.5×	441 1.9×	369 1.8×	134 0.9×	20 0.2×	25	1.1k
Eloy Roura Spain	11	208 0.5×	297 1.3×	101 0.5×	226 1.5×	171 1.7×	18	666
Qianjin Feng China	14	293 0.8×	133 0.6×	146 0.7×	35 0.2×	32 0.3×	51	689
Shen Zhao China	13	169 0.4×	138 0.6×	119 0.6×	58 0.4×	57 0.6×	60	590
Amod Jog United States	15	227 0.6×	341 1.5×	87 0.4×	74 0.5×	36 0.4×	32	698
Sergi Valverde Spain	17	381 1.0×	554 2.4×	217 1.1×	448 2.9×	306 3.0×	29	1.2k
Seyed Sadegh Mohseni Salehi United States	11	267 0.7×	249 1.1×	173 0.9×	113 0.7×	23 0.2×	15	628

Countries citing papers authored by Youngjin Yoo

Since Specialization

Citations

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

Fields of papers citing papers by Youngjin Yoo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Youngjin Yoo

This figure shows the co-authorship network connecting the top 25 collaborators of Youngjin Yoo. A scholar is included among the top collaborators of Youngjin Yoo 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 Youngjin Yoo. Youngjin Yoo 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

Kim, Chaehyun, et al.. (2025). Accurate low-delay QRS detection algorithm for real-time ECG acquisition in IoT sensors. Internet of Things. 31. 101537–101537. 1 indexed citations

Yoo, Youngjin, Eli Gibson, Thomas J. Re, et al.. (2024). Extended nnU-Net for Brain Metastasis Detection and Segmentation in Contrast-Enhanced Magnetic Resonance Imaging With a Large Multi-Institutional Data Set. International Journal of Radiation Oncology*Biology*Physics. 121(1). 241–249. 4 indexed citations

Yoo, Youngjin, et al.. (2024). Training and Generating Apartment Plan Graphic Images for Commercial Uses. Proceedings of the ... ISARC.

Gibson, Eli, Bogdan Georgescu, Youngjin Yoo, et al.. (2022). Artificial Intelligence with Statistical Confidence Scores for Detection of Acute or Subacute Hemorrhage on Noncontrast CT Head Scans. Radiology Artificial Intelligence. 4(3). e210115–e210115. 14 indexed citations

Ghesu, Florin C., Bogdan Georgescu, Awais Mansoor, et al.. (2022). Contrastive self-supervised learning from 100 million medical images with optional supervision. Journal of Medical Imaging. 9(6). 64503–64503. 28 indexed citations

Barbosa, Eduardo J. Mortani, Bogdan Georgescu, Shikha Chaganti, et al.. (2021). Machine learning automatically detects COVID-19 using chest CTs in a large multicenter cohort. PubMed Central. 17 indexed citations

Chaganti, Shikha, Philippe Greniér, Guillaume Chabin, et al.. (2020). Automated Quantification of CT Patterns Associated with COVID-19 from Chest CT. Radiology Artificial Intelligence. 2(4). e200048–e200048. 94 indexed citations

Dvorak, Adam, Youngjin Yoo, Irene M. Vavasour, et al.. (2020). Brain Myelin Water Fraction and Diffusion Tensor Imaging Atlases for 9‐10 Year‐Old Children. Journal of Neuroimaging. 30(2). 150–160. 16 indexed citations

Yoo, Youngjin, Lisa Tang, David K.B. Li, et al.. (2017). Deep learning of brain lesion patterns and user-defined clinical and MRI features for predicting conversion to multiple sclerosis from clinically isolated syndrome. Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization. 7(3). 250–259. 50 indexed citations

10.

Yoo, Youngjin, Lisa Tang, Tom Brosch, et al.. (2017). Deep learning of joint myelin and T1w MRI features in normal-appearing brain tissue to distinguish between multiple sclerosis patients and healthy controls. NeuroImage Clinical. 17. 169–178. 62 indexed citations

11.

Schubert, Julia, Erin L. MacMillan, Irene M. Vavasour, et al.. (2016). Myelin Damage in Relapsing Multiple Sclerosis Is Associated with Decreased N-Acetylaspartate and Creatine Concentrations (P4.181). Neurology. 86(16_supplement). 1 indexed citations

12.

Ljungberg, Emil, Irene M. Vavasour, Roger Tam, et al.. (2016). Rapid myelin water imaging in human cervical spinal cord. Magnetic Resonance in Medicine. 78(4). 1482–1487. 22 indexed citations

13.

Yoo, Youngjin, Irene M. Vavasour, Alexander L. MacKay, et al.. (2014). Fast computation of myelin maps from MRI T₂relaxation data using multicore CPU and graphics card parallelization. Journal of Magnetic Resonance Imaging. 41(3). 700–707. 12 indexed citations

14.

Yoo, Youngjin & Roger Tam. (2013). Non-Local Spatial Regularization of MRI T2 Relaxation Images for Myelin Water Quantification. Lecture notes in computer science. 16(Pt 1). 614–621. 16 indexed citations

15.

Yoo, Youngjin. (2013). Robust and fast T2 decay analysis for measuring myelin water in MRI. Open Collections. 1 indexed citations

16.

Park, Byung Kwan, et al.. (2012). Low light imaging system with? Expanding spectrum band for digital camera. 35–36. 5 indexed citations

17.

Yoo, Youngjin, et al.. (2011). Wide-band image guided visible-band image enhancement. 3405–3408. 1 indexed citations

18.

Yoo, Youngjin, et al.. (2009). Low-light imaging method with visible-band and wide-band image pair. 2773–2776. 6 indexed citations

19.

Yoo, Youngjin, et al.. (2007). CMOS image sensor noise reduction method for image signal processor in digital cameras and camera phones. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6502. 65020S–65020S. 11 indexed citations

20.

Yoo, Youngjin, et al.. (2001). Performances of Heuristic Algorithms for Consolidated Transportation with Weight and Volume Constraints. Journal of Korean Institute of Industrial Engineers. 28(1). 63–67. 1 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.

Explore authors with similar magnitude of impact