Dae‐Gyo Seo

2.6k citations
13 papers · 1.1k indexed · 1 hit paper · h-index 10

Dae‐Gyo Seo

13 papers receiving 1.1k citations

Hit Papers

Flexible Neuromorphic Electronics for Computing, Soft Rob...4372019202620212023100200300400

Peers

Dae‐Gyo Seo
Comparison fields: 5 of 51
  • Polymers and Plastics 474
  • Cellular and Molecular Neuroscience 500
  • Electrical and Electronic Engineering 955
  • Biomedical Engineering 294
  • Cognitive Neuroscience 112
Replace Gyeong‐Tak Go with:
Gyeong‐Tak Go South Korea
Xiumei Wang China
Seonghoon Jang South Korea
Rengjian Yu China
Hong Han China
Mohit Rameshchandra Kulkarni Singapore
Changsong Gao China
Jiangdong Gong China
Huihuang Yang China
Dae‐Gyo Seo relative to Gyeong‐Tak Go South Korea Gyeong‐Tak Go's profile →
Citations per field
00.5×
Gyeong‐Tak Go · 1×
Citations per year

Countries citing papers authored by Dae‐Gyo Seo

Since Specialization
Citations

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

Fields of papers citing papers by Dae‐Gyo Seo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dae‐Gyo Seo. 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 Dae‐Gyo Seo. The network helps show where Dae‐Gyo Seo may publish in the future.

Co-authorship network

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

All Works

13 of 13 papers shown
#Work
1 202520
2 202324
3 20232
4 202315
5 2022131
6 202261
7 20221
8 202132
9 202089
10
Flexible Neuromorphic Electronics for Computing, Soft Robotics, and Neuroprostheticsbreakdown →
2019437
11 20197
12 2019157
13 2019163

About Dae‐Gyo Seo

Dae‐Gyo Seo is a scholar working on Polymers and Plastics, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering, having authored 13 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (11 papers), Neuroscience and Neural Engineering (8 papers), Conducting polymers and applications (8 papers), Photoreceptor and optogenetics research (3 papers), Advanced Sensor and Energy Harvesting Materials (3 papers), Perovskite Materials and Applications (2 papers), Muscle activation and electromyography studies (1 paper) and Gas Sensing Nanomaterials and Sensors (1 paper). The work is most often cited by research in Polymers and Plastics (474 citations), Cellular and Molecular Neuroscience (500 citations) and Electrical and Electronic Engineering (955 citations). Dae‐Gyo Seo has collaborated with scholars based in South Korea, Sudan and United States. Frequent co-authors include Tae‐Woo Lee, Yeongjun Lee, Gyeong‐Tak Go, Hea‐Lim Park, Wanhee Lee, Hoichang Yang, Mingyuan Pei, Wentao Xu, Hyeon‐Dong Lee and Hobeom Kim. Their work appears in journals such as Chemical Reviews, Advanced Materials and SHILAP Revista de lepidopterología.

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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