Sun‐Joo Jang

537 citations
26 papers · 396 · h-index 10

Impact in

Papers in

    • Optical Coherence Tomography Applications 8
    • Photoacoustic and Ultrasonic Imaging 5
    • Soft Robotics and Applications 3
    • Coronary Interventions and Diagnostics 7
    • Surgical Simulation and Training 3

Sun‐Joo Jang

23 papers receiving 388 citations

Peers

Sun‐Joo Jang
Comparison fields: 5 of 63
  • Biophysics 54
  • Cardiology and Cardiovascular Medicine 90
  • Acoustics and Ultrasonics 4
  • Biomedical Engineering 173
  • Surgery 93
Replace Jian Ren with:
Jian Ren United States
Subhasri Chatterjee United Kingdom
Edite Figueiras Portugal
Christine P. Fleming United States
Dat Nguyen United States
Takaaki Maeda Japan
Ming Jack Po United States
Norman Lippok United States
Rodrigo Avilés‐Espinosa United Kingdom
Alexandre Serov Switzerland
Sun‐Joo Jang relative to Jian Ren United States Jian Ren's profile →
Citations per field
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Citations per year

Countries citing papers authored by Sun‐Joo Jang

Since Specialization
Citations

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

Fields of papers citing papers by Sun‐Joo Jang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sun‐Joo Jang. 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 Sun‐Joo Jang. The network helps show where Sun‐Joo Jang may publish in the future.

Co-authors

The 25 scholars most cited alongside Sun‐Joo Jang, 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 Sun‐Joo Jang Line = papers co-authored together Sun‐Joo Jang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019136
2 201947
3 201342
4 202028
5 202123
6 201217
7 201217
8 201213
9 201613
10 20159
11 20198
12 20017
13 20217
14 20206
15 20186
16 20143
17 20043
18 20053
19 20153
20 20201

About Sun‐Joo Jang

Sun‐Joo Jang is a scholar working on Biomedical Engineering, Surgery, Cardiology and Cardiovascular Medicine, Computer Vision and Pattern Recognition and Biophysics, having authored 26 papers that have together received 396 indexed citations. Recurring topics across this work include Optical Coherence Tomography Applications (8 papers), Coronary Interventions and Diagnostics (7 papers), Photoacoustic and Ultrasonic Imaging (5 papers), Surgical Simulation and Training (3 papers), Advanced Fluorescence Microscopy Techniques (3 papers), Soft Robotics and Applications (3 papers), Image and Video Stabilization (2 papers) and Photonic and Optical Devices (2 papers). The work is most often cited by research in Biophysics (54 citations), Cardiology and Cardiovascular Medicine (90 citations), Acoustics and Ultrasonics (4 citations), Biomedical Engineering (173 citations) and Surgery (93 citations). Sun‐Joo Jang has collaborated with scholars based in South Korea, United States and Hong Kong. Frequent co-authors include S. Chiu Wong, Bobak Mosadegh, Sheldon J. J. Kwok, Andreas C. Liapis, Nicola Martino, Jiamin Wu, Seok Hyun Yun, Sarah Forward, Sarah J. Wu and Paul H. Dannenberg. Their work appears in journals such as PLoS ONE, Journal of Biomedical Optics, Cardiology, Journal of the American Heart Association and Optics Letters.

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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