Seongbin Oh

400 citations
18 papers · 297 · h-index 10

Impact in

Papers in

Seongbin Oh

18 papers receiving 295 citations

Peers

Seongbin Oh
Comparison fields: 5 of 38
  • Electrical and Electronic Engineering 264
  • Bioengineering 24
  • Cellular and Molecular Neuroscience 65
  • Cognitive Neuroscience 58
  • Sensory Systems 13
Replace Harikrishnan Ravichandran with:
Harikrishnan Ravichandran United States
Won-Mook Kang South Korea
Ryun‐Han Koo South Korea
Injae Yoo South Korea
Liyang Pan China
Keji Zhou China
Chuanyu Fu China
Sarbashis Das United States
Usman Isyaku Bature Malaysia
Kaikai Gao China
Seongbin Oh relative to Harikrishnan Ravichandran United States Harikrishnan Ravichandran's profile →
Citations per field
00.5×3.3×
Harikrishnan Ravichandran · 1×
Citations per year

Countries citing papers authored by Seongbin Oh

Since Specialization
Citations

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

Fields of papers citing papers by Seongbin Oh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Seongbin Oh, 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 Seongbin Oh Line = papers co-authored together Seongbin Oh links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 201871
2 202040
3 202035
4 202134
5 202220
6 202417
7 202015
8 202111
9 201910
10 20199
11 20199
12 20218
13 20244
14 20224
15 20193
16 20243
17 20192
18 20222

About Seongbin Oh

Seongbin Oh is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience, Cellular and Molecular Neuroscience, Artificial Intelligence and Biomedical Engineering, having authored 18 papers that have together received 297 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (16 papers), Ferroelectric and Negative Capacitance Devices (8 papers), Neural dynamics and brain function (8 papers), Neuroscience and Neural Engineering (7 papers), CCD and CMOS Imaging Sensors (4 papers), Neural Networks and Reservoir Computing (3 papers), Gas Sensing Nanomaterials and Sensors (2 papers) and Advanced Chemical Sensor Technologies (2 papers). The work is most often cited by research in Electrical and Electronic Engineering (264 citations), Bioengineering (24 citations), Cellular and Molecular Neuroscience (65 citations), Cognitive Neuroscience (58 citations) and Sensory Systems (13 citations). Seongbin Oh has collaborated with scholars based in South Korea and United States. Frequent co-authors include Jong‐Ho Lee, Dongseok Kwon, Jong‐Ho Bae, Soochang Lee, Byung‐Gook Park, Jangsaeng Kim, Sung Yun Woo, Chul-Heung Kim, Won-Mook Kang and Sung‐Tae Lee. Their work appears in journals such as IEEE Access, Solid-State Electronics, Sensors and Actuators B Chemical, Nanotechnology and Journal of Nanoscience and Nanotechnology.

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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