Jonghye Woo

2.3k citations
117 papers · 1.5k · 1 hit paper · h-index 22

Impact in

Papers in

Jonghye Woo

112 papers receiving 1.5k citations

Jonghye Woo's Hit Papers

Deep Unsupervised Domain Adaptation: A Review of Recent Advances and Perspectives 2022 · 142 citations
1420+1+2Years since publication4080120

Peers

Jonghye Woo
Comparison fields: 5 of 124
  • Computer Vision and Pattern Recognition 562
  • Radiology, Nuclear Medicine and Imaging 590
  • Artificial Intelligence 418
  • Signal Processing 137
  • Health Informatics 13
Replace Fangxu Xing with:
Fangxu Xing United States
Filiz Bunyak United States
Kim‐Han Thung United States
Yu Zhu China
Rafeef Abugharbieh Canada
Horst K. Hahn Germany
Christian Desrosiers Canada
Victor Alves Portugal
Martin Urschler Austria
Le An United States
Jonghye Woo relative to Fangxu Xing United States Fangxu Xing's profile →
Citations per field
00.5×2.8×
Fangxu Xing · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Jonghye Woo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jonghye Woo Line = papers co-authored together Jonghye Woo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Deep Unsupervised Domain Adaptation: A Review of Recent Advances and Perspectives
Hit paper breakdown →
2022142
2 201495
3 201381
4 201968
5 200961
6 201253
7 202144
8 201637
9 202135
10 201132
11 201727
12 201426
13 201425
14 200825
15 201325
16 202124
17 201823
18 202223
19 201322
20 202121

About Jonghye Woo

Jonghye Woo is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Artificial Intelligence, Physiology and Signal Processing, having authored 117 papers that have together received 1.5k indexed citations. Recurring topics across this work include Voice and Speech Disorders (30 papers), Medical Image Segmentation Techniques (20 papers), Advanced MRI Techniques and Applications (19 papers), Speech and Audio Processing (18 papers), Speech Recognition and Synthesis (18 papers), Phonetics and Phonology Research (16 papers), Domain Adaptation and Few-Shot Learning (14 papers) and Medical Imaging Techniques and Applications (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (562 citations), Radiology, Nuclear Medicine and Imaging (590 citations), Artificial Intelligence (418 citations), Signal Processing (137 citations) and Health Informatics (13 citations). Jonghye Woo has collaborated with scholars based in United States, South Korea and Canada. Frequent 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. Their work appears in journals such as The Journal of the Acoustical Society of America, Journal of Speech Language and Hearing Research, Medical Physics, Medical Image Analysis and Magnetic Resonance in Medicine.

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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