Won Gi Chung

1.1k citations
25 papers · 774 · 1 hit paper · h-index 16

Impact in

Papers in

Won Gi Chung

23 papers receiving 764 citations

Won Gi Chung's Hit Papers

Liquid-metal-based three-dimensional microelectrode arrays integrated with implantable ultrathin retinal prosthesis for vision restoration 2024 · 76 citations
760+1Years since publication255075

Peers

Won Gi Chung
Comparison fields: 5 of 79
  • Cellular and Molecular Neuroscience 233
  • Biomedical Engineering 489
  • Polymers and Plastics 127
  • Cognitive Neuroscience 99
  • Automotive Engineering 62
Replace Hyeon Seok An with:
Hyeon Seok An South Korea
Enji Kim South Korea
Bongjoong Kim United States
Rik Verplancke Belgium
Hunkyu Seo South Korea
Eunkyung Cha South Korea
Min Ku Kim United States
Hayoung Song South Korea
Xinshuo Huang China
Yong Won Kwon South Korea
Won Gi Chung relative to Hyeon Seok An South Korea Hyeon Seok An's profile →
Citations per field
00.5×5.4×
Hyeon Seok An · 1×
Citations per year

Countries citing papers authored by Won Gi Chung

Since Specialization
Citations

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

Fields of papers citing papers by Won Gi Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022144
2 202391
3
Liquid-metal-based three-dimensional microelectrode arrays integrated with implantable ultrathin retinal prosthesis for vision restoration
Hit paper breakdown →
202476
4 202454
5 202253
6 202150
7 202342
8 202139
9 202333
10 202226
11 202421
12 202320
13 202420
14 202218
15 202417
16 202315
17 202414
18 202511
19 20259
20 20247

About Won Gi Chung

Won Gi Chung is a scholar working on Biomedical Engineering, Cellular and Molecular Neuroscience, Polymers and Plastics, Electrical and Electronic Engineering and Cognitive Neuroscience, having authored 25 papers that have together received 774 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (15 papers), Neuroscience and Neural Engineering (14 papers), Conducting polymers and applications (8 papers), Advanced Memory and Neural Computing (4 papers), Photoreceptor and optogenetics research (3 papers), Muscle activation and electromyography studies (3 papers), EEG and Brain-Computer Interfaces (3 papers) and Nanomaterials and Printing Technologies (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (233 citations), Biomedical Engineering (489 citations), Polymers and Plastics (127 citations), Cognitive Neuroscience (99 citations) and Automotive Engineering (62 citations). Won Gi Chung has collaborated with scholars based in South Korea, Germany and China. Frequent co-authors include Jang‐Ung Park, Hunkyu Seo, Wonjung Park, Enji Kim, Young‐Geun Park, Jakyoung Lee, Dong Ha Lee, In Sik Yun, Kyeonghee Lim and Hayoung Song. Their work appears in journals such as Advanced Science, Advanced Materials, Nano Energy, Lab on a Chip and Nature Communications.

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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