H. Chung

629 citations
28 papers · 452 · h-index 12

Impact in

Papers in

H. Chung

25 papers receiving 429 citations

Peers

H. Chung
Comparison fields: 5 of 68
  • Ophthalmology 192
  • Radiology, Nuclear Medicine and Imaging 113
  • Cellular and Molecular Neuroscience 74
  • Computer Vision and Pattern Recognition 35
  • Rheumatology 22
Replace Daniel F. Goodman with:
Daniel F. Goodman United States
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B. Dhillon United Kingdom
Florence Rigaudière France
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Lisa C. Olmos de Koo United States
Jerome Sherman United States
Hamid Riazi‐Esfahani Iran
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Citations per field
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Citations per year

Countries citing papers authored by H. Chung

Since Specialization
Citations

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

Fields of papers citing papers by H. Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200888
2 200464
3 200860
4 198839
5 200532
6 200931
7
Photodetector sensitivity level and heidelberg retina flowmeter measurements in humans.
200121
8 200819
9 200918
10 200517
11 199717
12 199711
13 199910
14 20057
15 20094
16 20062
17 20082
18
A Seven Segment Electrode Stimulation System for Retinal Prosthesis
20062
19
Development of Polyimide Photodiode Electrode Array System for Laser-Signaling Retinal Prosthesis
20022
20
Safety and Efficacy of Ranibizumab in Asian Patients With Neovascular Age-related Macular Degeneration: 4- and 12-months Results of the EXTEND III Study
20091

About H. Chung

H. Chung is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience, having authored 28 papers that have together received 452 indexed citations. Recurring topics across this work include Retinal and Macular Surgery (9 papers), Neuroscience and Neural Engineering (9 papers), Retinal Diseases and Treatments (5 papers), Photoreceptor and optogenetics research (5 papers), Retinal Development and Disorders (4 papers), Retinal Imaging and Analysis (3 papers), Glaucoma and retinal disorders (3 papers) and Intraocular Surgery and Lenses (3 papers). The work is most often cited by research in Ophthalmology (192 citations), Radiology, Nuclear Medicine and Imaging (113 citations), Cellular and Molecular Neuroscience (74 citations), Computer Vision and Pattern Recognition (35 citations) and Rheumatology (22 citations). H. Chung has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Hyeong Gon Yu, Jong-Mo Seo, Se Joon Woo, D. S. Lee, Sung Joong Kim, Eui‐Tae Kim, Jae Kyoun Ahn, Miguel F. Refojo, Felipe I. Tolentino and Jinwook Seo. Their work appears in journals such as Investigative Ophthalmology & Visual Science, Eye, British Journal of Ophthalmology, BioMed Research International and Clinical & Experimental Immunology.

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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