Jonghye Woo

2.3k total citations · 1 hit paper
117 papers, 1.5k citations indexed

About

Jonghye Woo is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Jonghye Woo has authored 117 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Radiology, Nuclear Medicine and Imaging, 37 papers in Computer Vision and Pattern Recognition and 34 papers in Artificial Intelligence. Recurrent topics in Jonghye Woo's work include Voice and Speech Disorders (30 papers), Medical Image Segmentation Techniques (20 papers) and Advanced MRI Techniques and Applications (19 papers). Jonghye Woo is often cited by papers focused on Voice and Speech Disorders (30 papers), Medical Image Segmentation Techniques (20 papers) and Advanced MRI Techniques and Applications (19 papers). Jonghye Woo collaborates with scholars based in United States, South Korea and China. Jonghye Woo's co-authors include Jerry L. Prince, Fangxu Xing, Georges El Fakhri, Xiaofeng Liu, Maureen Stone, C.‐C. Jay Kuo, Maureen Stone, Emi Z. Murano, Piotr J. Slomka and Junghoon Lee and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Image Processing and The Journal of the Acoustical Society of America.

In The Last Decade

Jonghye Woo

112 papers receiving 1.5k citations

Hit Papers

align trajectories

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 Unsupervised Domain Adaptation: A Review of Recent Advances and Perspectives

2022 142 citations Xiaofeng Liu, Fangxu Xing et al. APSIPA Transactions on Signal and Information Processing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jonghye Woo United States	22	590	562	418	236	190	117	1.5k
Kim‐Han Thung United States	22	324 0.5×	552 1.0×	597 1.4×	137 0.6×	97 0.5×	57	1.9k
Christian Desrosiers Canada	25	1.1k 1.8×	991 1.8×	748 1.8×	349 1.5×	113 0.6×	144	2.7k
Yakang Dai China	22	583 1.0×	369 0.7×	170 0.4×	317 1.3×	76 0.4×	121	1.7k
Zhong Xue United States	27	1.3k 2.3×	943 1.7×	434 1.0×	378 1.6×	69 0.4×	127	2.9k
Fangxu Xing United States	19	270 0.5×	307 0.5×	359 0.9×	65 0.3×	98 0.5×	75	872
Christian Wachinger Germany	20	1.2k 2.1×	991 1.8×	437 1.0×	528 2.2×	81 0.4×	76	2.6k
Ahmed Ashraf Canada	19	372 0.6×	396 0.7×	225 0.5×	149 0.6×	62 0.3×	63	1.4k
Filiz Bunyak United States	24	204 0.3×	993 1.8×	352 0.8×	115 0.5×	68 0.4×	117	1.8k
Svitlana Zinger Netherlands	20	293 0.5×	472 0.8×	201 0.5×	175 0.7×	28 0.1×	107	1.4k
Ewa Piętka Poland	18	333 0.6×	402 0.7×	261 0.6×	289 1.2×	37 0.2×	81	1.3k

Countries citing papers authored by Jonghye Woo

Since Specialization

Citations

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

Fields of papers citing papers by Jonghye Woo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonghye Woo

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

Zhuo, Yue, Arnaud Beddok, Laura Rozenblum, et al.. (2024). The role of 18F-FDG PET in minimizing variability in gross tumor volume delineation of soft tissue sarcomas. Radiotherapy and Oncology. 194. 110186–110186. 1 indexed citations

Xing, Fangxu, Aaron Carass, Jiachen Zhuo, et al.. (2023). Analysis of Tongue Muscle Strain During Speech From Multimodal Magnetic Resonance Imaging. Journal of Speech Language and Hearing Research. 66(2). 513–526. 3 indexed citations

Perry, Jamie L., Fangxu Xing, David P. Kuehn, et al.. (2023). Preliminary Development of an MRI Atlas for Application to Cleft Care: Findings and Future Recommendations. The Cleft Palate-Craniofacial Journal. 61(11). 1912–1918. 5 indexed citations

Li, Yudu, Ryan Shosted, Fangxu Xing, et al.. (2023). Optimization of 3D dynamic speech MRI: Poisson‐disc undersampling and locally higher‐rank reconstruction through partial separability model with regional optimized temporal basis. Magnetic Resonance in Medicine. 91(1). 61–74. 2 indexed citations

Liu, Xiaofeng, Fangxu Xing, Jerry L. Prince, et al.. (2023). Synthesizing audio from tongue motion during speech using tagged MRI via transformer. PubMed. 29. 31–31.

Liu, Xiaofeng, Fangxu Xing, C.‐C. Jay Kuo, et al.. (2022). Unsupervised Black-Box Model Domain Adaptation for Brain Tumor Segmentation. Frontiers in Neuroscience. 16. 837646–837646. 8 indexed citations

Liu, Xiaofeng, Fangxu Xing, Nadya Shusharina, et al.. (2022). ACT: Semi-supervised Domain-Adaptive Medical Image Segmentation with Asymmetric Co-training. Lecture notes in computer science. 13435. 66–76. 9 indexed citations

Liu, Xiaofeng, et al.. (2022). Variational inference for quantifying inter-observer variability in segmentation of anatomical structures. PubMed. 12032. 55–55. 3 indexed citations

Liu, Xiaofeng, et al.. (2022). Deep Unsupervised Domain Adaptation: A Review of Recent Advances and Perspectives. APSIPA Transactions on Signal and Information Processing. 11(1). 1–51. 142 indexed citations breakdown →

10.

Kong, Hyoun‐Joong, Jin Youp Kim, Jeong‐Whun Kim, et al.. (2022). Automation of generative adversarial network-based synthetic data-augmentation for maximizing the diagnostic performance with paranasal imaging. Scientific Reports. 12(1). 18118–18118. 8 indexed citations

11.

Liu, Xiaofeng, Zhenhua Guo, Site Li, et al.. (2021). Adversarial Unsupervised Domain Adaptation with Conditional and Label Shift: Infer, Align and Iterate. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 10347–10356. 44 indexed citations

12.

Liu, Xiaofeng, Fangxu Xing, Jerry L. Prince, et al.. (2021). Dual-Cycle Constrained Bijective Vae-Gan For Tagged-To-Cine Magnetic Resonance Image Synthesis. PubMed. 2021. 1448–1452. 21 indexed citations

13.

Liu, Xiaofeng, Fangxu Xing, Chao Yang, et al.. (2021). Symmetric-Constrained Irregular Structure Inpainting for Brain MRI Registration with Tumor Pathology. Lecture notes in computer science. 12658. 80–91. 21 indexed citations

14.

Woo, Jonghye, G Sharp, Quanzheng Li, et al.. (2018). Subject-specific brain tumor growth modelling via an efficient Bayesian inference framework. PubMed. 9. 89–89. 2 indexed citations

15.

Lee, Junghoon, Jonghye Woo, Fangxu Xing, et al.. (2014). Semi-automatic segmentation for 3D motion analysis of the tongue with dynamic MRI. Computerized Medical Imaging and Graphics. 38(8). 714–724. 19 indexed citations

16.

Woo, Jonghye, Junghoon Lee, Emi Z. Murano, et al.. (2014). A high-resolution atlas and statistical model of the vocal tract from structural MRI. Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization. 3(1). 47–60. 25 indexed citations

17.

Kang, Dongwoo, Piotr J. Slomka, Ryo Nakazato, et al.. (2013). Image denoising of low-radiation dose coronary CT angiography by an adaptive block-matching 3D algorithm. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8669. 86692G–86692G. 81 indexed citations

18.

Woo, Jonghye, Emi Z. Murano, Maureen Stone, & Jerry L. Prince. (2012). Reconstruction of High-Resolution Tongue Volumes From MRI. IEEE Transactions on Biomedical Engineering. 59(12). 3511–3524. 53 indexed citations

19.

Woo, Jonghye, Maureen Stone, & Jerry L. Prince. (2011). Deformable Registration of High-Resolution and Cine MR Tongue Images. Lecture notes in computer science. 14(Pt 1). 556–563. 4 indexed citations

20.

Slomka, Piotr J., Victor Cheng, Damini Dey, et al.. (2009). Quantitative Analysis of Myocardial Perfusion SPECT Anatomically Guided by Coregistered 64-Slice Coronary CT Angiography. Journal of Nuclear Medicine. 50(10). 1621–1630. 61 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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