Caroline Yu

640 citations
21 papers · 408 indexed · h-index 11

Impact in

Papers in

Caroline Yu

19 papers receiving 397 citations

Peers

Caroline Yu
Comparison fields: 5 of 74
  • Ophthalmology 117
  • Radiology, Nuclear Medicine and Imaging 193
  • Health Information Management 26
  • Computer Vision and Pattern Recognition 60
  • Neurology 22
Replace Jay Jiyong Kwak with:
Jay Jiyong Kwak South Korea
Alina V. Dumitrescu United States
Ungsoo Samuel Kim South Korea
Caroline Brandl Germany
Luís Mendonça Portugal
Francisco A. Folgar United States
Roly Megaw United Kingdom
Yusaku Katada Japan
Joanne C. Wen United States
Albert T.A. Liem Netherlands
Caroline Yu relative to Jay Jiyong Kwak South Korea Jay Jiyong Kwak's profile →
Citations per field
00.5×10×15×20×
Jay Jiyong Kwak · 1×
Citations per year

Countries citing papers authored by Caroline Yu

Since Specialization
Citations

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

Fields of papers citing papers by Caroline Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20243
3 20241
4 20232
5 20223
6 20221
7 20221
8 202117
9 202125
10 20208
11 201913
12 201817
13 2018146
14
Opening the Black Box: Visualization of Deep Neural Network for Detection of Disease in Retinal Fundus Photographs
20170
15
Eye Fatigue During TV Watching: An Infrared Oculography Study of Linearly vs. Circularly Polarized LCD TV
20161
16 201621
17 201510
18 201557
19 201451
20 199318

About Caroline Yu

Caroline Yu is a scholar working on Ophthalmology, Biophysics, Neurology, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 21 papers that have together received 408 indexed citations. Recurring topics across this work include Cerebral Venous Sinus Thrombosis (3 papers), Ophthalmology and Eye Disorders (3 papers), Optical Coherence Tomography Applications (2 papers), Glaucoma and retinal disorders (2 papers), Reconstructive Facial Surgery Techniques (2 papers), Retinal Imaging and Analysis (2 papers), Ophthalmology and Visual Impairment Studies (2 papers) and Nicotinic Acetylcholine Receptors Study (2 papers). The work is most often cited by research in Ophthalmology (117 citations), Radiology, Nuclear Medicine and Imaging (193 citations), Health Information Management (26 citations), Computer Vision and Pattern Recognition (60 citations) and Neurology (22 citations). Caroline Yu has collaborated with scholars based in United States and Israel. Frequent co-authors include Carson Lam, Laura C. Huang, Daniel L. Rubin, G. Zaharchuk, Shalini A. Amukotuwa, Henry A. Lester, Brandon J. Henderson, Rell L. Parker, Christopher I. Richards and Julie M. Miwa. Their work appears in journals such as Investigative Ophthalmology & Visual Science, PLoS ONE, Ophthalmic Plastic and Reconstructive Surgery, Scientific Reports and BMC Cancer.

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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