Gyeong‐Tak Go
- Polymers and Plastics top 5%
- Conducting polymers and applications 10
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- Neuroscience and Neural Engineering 5
- Photoreceptor and optogenetics research 3
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- Advanced Memory and Neural Computing 9
- Perovskite Materials and Applications 2
- Organic Electronics and Photovoltaics 1
- Organic Light-Emitting Diodes Research 1
- Biomedical Engineering top 10%
- Advanced Sensor and Energy Harvesting Materials 4
- Cognitive Neuroscience top 10%
- Co-authors
- Tae‐Woo LeeDae‐Gyo SeoYeongjun LeeHea‐Lim ParkWanhee LeeHoichang YangMingyuan PeiWentao Xu
- Cited by
- Polymers and PlasticsCellular and Molecular NeuroscienceElectrical and Electronic Engineering
- Journals
- Advanced Materials (5 papers)SHILAP Revista de lepidopterología (2 papers)Advanced Functional Materials (1 paper)
- Partner nations
- South KoreaSudanUnited States
In The Last Decade
Gyeong‐Tak Go
13 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 44
- Polymers and Plastics 462
- Cellular and Molecular Neuroscience 427
- Electrical and Electronic Engineering 913
- Biomedical Engineering 293
- Cognitive Neuroscience 109
Countries citing papers authored by Gyeong‐Tak Go
This map shows the geographic impact of Gyeong‐Tak Go'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 Gyeong‐Tak Go with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gyeong‐Tak Go more than expected).
Fields of papers citing papers by Gyeong‐Tak Go
This network shows the impact of papers produced by Gyeong‐Tak Go. 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 Gyeong‐Tak Go. The network helps show where Gyeong‐Tak Go may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gyeong‐Tak Go, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 46 | |
| 2 | 2023 | 24 | |
| 3 | 2023 | 15 | |
| 4 | 2022 | 61 | |
| 5 | 2022 | 48 | |
| 6 | 2022 | 1 | |
| 7 | 2022 | 1 | |
| 8 | 2021 | 32 | |
| 9 | 2020 | 89 | |
| 10 | Flexible Neuromorphic Electronics for Computing, Soft Robotics, and Neuroprostheticsbreakdown → | 2019 | 437 |
| 11 | 2019 | 7 | |
| 12 | 2019 | 157 | |
| 13 | 2019 | 163 |
About Gyeong‐Tak Go
Gyeong‐Tak Go 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 Conducting polymers and applications (10 papers), Advanced Memory and Neural Computing (9 papers), Neuroscience and Neural Engineering (5 papers), Advanced Sensor and Energy Harvesting Materials (4 papers), Photoreceptor and optogenetics research (3 papers), Perovskite Materials and Applications (2 papers), Organic Electronics and Photovoltaics (1 paper) and Organic Light-Emitting Diodes Research (1 paper). The work is most often cited by research in Polymers and Plastics (462 citations), Cellular and Molecular Neuroscience (427 citations) and Electrical and Electronic Engineering (913 citations). Gyeong‐Tak Go has collaborated with scholars based in South Korea, Sudan and United States. Frequent co-authors include Tae‐Woo Lee, Dae‐Gyo Seo, Yeongjun Lee, Hea‐Lim Park, Wanhee Lee, Hoichang Yang, Mingyuan Pei, Wentao Xu, Hyeon‐Dong Lee and Hobeom Kim. Their work appears in journals such as Advanced Materials, SHILAP Revista de lepidopterología and Advanced Functional Materials.
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.