Dae‐Gyo Seo

2.6k total citations · 1 hit paper
13 papers, 1.1k citations indexed

About

Dae‐Gyo Seo is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Polymers and Plastics. According to data from OpenAlex, Dae‐Gyo Seo has authored 13 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Electrical and Electronic Engineering, 10 papers in Cellular and Molecular Neuroscience and 8 papers in Polymers and Plastics. Recurrent topics in Dae‐Gyo Seo's work include Advanced Memory and Neural Computing (11 papers), Neuroscience and Neural Engineering (8 papers) and Conducting polymers and applications (8 papers). Dae‐Gyo Seo is often cited by papers focused on Advanced Memory and Neural Computing (11 papers), Neuroscience and Neural Engineering (8 papers) and Conducting polymers and applications (8 papers). Dae‐Gyo Seo collaborates with scholars based in South Korea, Sudan and United States. Dae‐Gyo Seo's 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 and has published in prestigious journals such as Chemical Reviews, Advanced Materials and SHILAP Revista de lepidopterología.

In The Last Decade

Dae‐Gyo Seo

13 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Flexible Neuromorphic Electronics for Computing, Soft Robotics, and Neuroprosthetics

2019 437 citations Hea‐Lim Park, Yeongjun Lee et al. Advanced Materials profile →

Peers

Dae‐Gyo Seo

EEE

CMN

PP

BE

AI

Gyeong‐Tak Go South Korea

Xiumei Wang China

Huihuang Yang China

Rengjian Yu China

Mohit Rameshchandra Kulkarni Singapore

Hong Han China

Changsong Gao China

Yang Ming Fu China

Youhui Chen China

Gyeong‐Tak Go South Korea

Dae‐Gyo Seo

913 ×1.0

EEE

427 ×0.9

CMN

462 ×1.0

PP

293 ×1.0

BE

114 ×0.9

AI

Citations per year, relative to Dae‐Gyo Seo Dae‐Gyo Seo (= 1×) peers Gyeong‐Tak Go

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 of co-authors of Dae‐Gyo Seo

This figure shows the co-authorship network connecting the top 25 collaborators of Dae‐Gyo Seo. A scholar is included among the top collaborators of Dae‐Gyo Seo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dae‐Gyo Seo. Dae‐Gyo Seo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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13 of 13 papers shown

1.

Kim, Chung Hee, et al.. (2025). Organic Artificial Nerves: Neuromorphic Robotics and Bioelectronics. Chemical Reviews. 125(5). 2625–2664. 20 indexed citations

2.

Go, Gyeong‐Tak, Hea‐Lim Park, Jingwan Kim, et al.. (2023). Molecular Tailoring to Achieve Long‐Term Plasticity in Organic Synaptic Transistors for Neuromorphic Computing. SHILAP Revista de lepidopterología. 5(9). 24 indexed citations

3.

Seo, Dae‐Gyo & Tae‐Woo Lee. (2023). A sutureless bioelectronic patch for electrocardiography. Nature Electronics. 6(10). 730–731. 2 indexed citations

4.

Seo, Dae‐Gyo, Jingwan Kim, Gyeong‐Tak Go, et al.. (2023). Overcoming the Trade‐off Between Efficient Electrochemical Doping and High State Retention in Electrolyte‐Gated Organic Synaptic Transistors. Advanced Functional Materials. 34(14). 15 indexed citations

5.

Lee, Yeongjun, Yuxin Liu, Dae‐Gyo Seo, et al.. (2022). A low-power stretchable neuromorphic nerve with proprioceptive feedback. Nature Biomedical Engineering. 7(4). 511–519. 131 indexed citations

6.

Go, Gyeong‐Tak, Yeongjun Lee, Dae‐Gyo Seo, & Tae‐Woo Lee. (2022). Organic Neuroelectronics: From Neural Interfaces to Neuroprosthetics. Advanced Materials. 34(45). e2201864–e2201864. 61 indexed citations

7.

Go, Gyeong‐Tak, Yeongjun Lee, Dae‐Gyo Seo, & Tae‐Woo Lee. (2022). Organic Neuroelectronics: From Neural Interfaces to Neuroprosthetics (Adv. Mater. 45/2022). Advanced Materials. 34(45). 1 indexed citations

8.

Seo, Dae‐Gyo, Gyeong‐Tak Go, Hea‐Lim Park, & Tae‐Woo Lee. (2021). Organic synaptic transistors for flexible and stretchable artificial sensory nerves. MRS Bulletin. 46(4). 321–329. 32 indexed citations

9.

Go, Gyeong‐Tak, Yeongjun Lee, Dae‐Gyo Seo, et al.. (2020). Achieving Microstructure‐Controlled Synaptic Plasticity and Long‐Term Retention in Ion‐Gel‐Gated Organic Synaptic Transistors. SHILAP Revista de lepidopterología. 2(11). 89 indexed citations

10.

Park, Hea‐Lim, et al.. (2019). Flexible Neuromorphic Electronics for Computing, Soft Robotics, and Neuroprosthetics. Advanced Materials. 32(15). e1903558–e1903558. 437 indexed citations breakdown →

11.

Lee, Yeongjun, Min‐Ho Park, Gyeong‐Tak Go, et al.. (2019). Artificial Synapses: Dimensionality Dependent Plasticity in Halide Perovskite Artificial Synapses for Neuromorphic Computing (Adv. Electron. Mater. 9/2019). Advanced Electronic Materials. 5(9). 7 indexed citations

12.

Seo, Dae‐Gyo, Yeongjun Lee, Gyeong‐Tak Go, et al.. (2019). Versatile neuromorphic electronics by modulating synaptic decay of single organic synaptic transistor: From artificial neural networks to neuro-prosthetics. Nano Energy. 65. 104035–104035. 157 indexed citations

13.

Lee, Yeongjun, Min‐Ho Park, Gyeong‐Tak Go, et al.. (2019). Dimensionality Dependent Plasticity in Halide Perovskite Artificial Synapses for Neuromorphic Computing. Advanced Electronic Materials. 5(9). 163 indexed citations

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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