Su‐A Yang

15 papers receiving 851 citations

Su‐A Yang's Hit Papers

Artificial Intelligence in Breast Cancer Diagnosis and Personalized Medicine 2023 · 98 citations
980+1+2Years since publication255075

Peers

Su‐A Yang
Comparison fields: 5 of 109
  • Biophysics 88
  • Acoustics and Ultrasonics 12
  • Health Informatics 16
  • Molecular Medicine 41
  • Biomedical Engineering 341
Replace Rafael Camacho with:
Rafael Camacho Sweden
Myung Chul Choi South Korea
Nick Smisdom Belgium
Jana B. Nieder Portugal
Kyung A. Kang United States
Leilei Peng United States
Bettina Heise Austria
Seung Jae Oh South Korea
Jan Scrimgeour United States
Su‐A Yang relative to Rafael Camacho Sweden Rafael Camacho's profile →
Citations per field
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Rafael Camacho · 1×
Citations per year

Countries citing papers authored by Su‐A Yang

Since Specialization
Citations

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

Fields of papers citing papers by Su‐A Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Su‐A Yang. 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 Su‐A Yang. The network helps show where Su‐A Yang may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2017268
2 2002114
3 2016112
4
Artificial Intelligence in Breast Cancer Diagnosis and Personalized Medicine
Hit paper breakdown →
202398
5 200267
6 201763
7 202044
8 202135
9 200129
10 199323
11 199015
12 19964
13
[Chemical stability of salmon calcitonin (sCT) analogues in aqueous solution].
19981
14 20151
15
Thermal Post-Buckling Analysis of Shape Memory Alloy Hybrid Composite Shell Panel
20031

About Su‐A Yang

Su‐A Yang is a scholar working on Biomedical Engineering, Atomic and Molecular Physics, and Optics, Materials Chemistry, Biophysics and Mechanics of Materials, having authored 15 papers that have together received 875 indexed citations. Recurring topics across this work include Digital Holography and Microscopy (4 papers), Advanced Fluorescence Microscopy Techniques (3 papers), Microfluidic and Bio-sensing Technologies (2 papers), Optical Coherence Tomography Applications (2 papers), Pickering emulsions and particle stabilization (2 papers), Cavitation Phenomena in Pumps (1 paper), Ubiquitin and proteasome pathways (1 paper) and Chemical Synthesis and Characterization (1 paper). The work is most often cited by research in Biophysics (88 citations), Acoustics and Ultrasonics (12 citations), Health Informatics (16 citations), Molecular Medicine (41 citations) and Biomedical Engineering (341 citations). Su‐A Yang has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include YongKeun Park, Kyoohyun Kim, Jonghee Yoon, Gi‐Ra Yi, Dae‐Geun Choi, Sicheng Wang, Ali K. Yetisen, Ki Su Kim, Nan Jiang and Haider Butt. Their work appears in journals such as Advanced Materials, International Journal of Multiphase Flow, Journal of Fluid Mechanics, Advances in experimental medicine and biology and Computers & Structures.

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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