Junseong Ahn

3.1k citations
79 papers · 2.0k indexed · h-index 27

Junseong Ahn

74 papers receiving 1.9k citations

Peers

Junseong Ahn
Comparison fields: 5 of 118
  • Biomedical Engineering 1.4k
  • Polymers and Plastics 422
  • Cognitive Neuroscience 371
  • Bioengineering 107
  • Electrical and Electronic Engineering 593
Replace Jiayi Yang with:
Jiayi Yang China
Wubin Bai United States
Yongrok Jeong South Korea
Stefano Stassi Italy
Dong Hae Ho South Korea
Mengying Xie China
Kyoung Won Cho South Korea
Jeng‐Hun Lee Hong Kong
Jiuk Jang South Korea
Joonhwa Choi South Korea
Junseong Ahn relative to Jiayi Yang China Jiayi Yang's profile →
Citations per field
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Jiayi Yang · 1×
Citations per year

Countries citing papers authored by Junseong Ahn

Since Specialization
Citations

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

Fields of papers citing papers by Junseong Ahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20256
3 202416
4 20241
5 20240
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8 202320
9 20231
10 202316
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12 202352
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14 20223
15 202149
16 202140
17 201938
18 2009136
19 20073
20
Endovascular Treatment of Bilateral Spontaneous Carotid-cavernous Fistulas.
20041

About Junseong Ahn

Junseong Ahn is a scholar working on Biomedical Engineering, Cognitive Neuroscience, Polymers and Plastics, Architecture and General Dentistry, having authored 79 papers that have together received 2.0k indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (46 papers), Advanced Materials and Mechanics (18 papers), Tactile and Sensory Interactions (17 papers), Conducting polymers and applications (11 papers), Gas Sensing Nanomaterials and Sensors (10 papers), Nanomaterials and Printing Technologies (8 papers), Nanofabrication and Lithography Techniques (7 papers) and Electrospun Nanofibers in Biomedical Applications (4 papers). The work is most often cited by research in Biomedical Engineering (1.4k citations), Polymers and Plastics (422 citations), Cognitive Neuroscience (371 citations), Bioengineering (107 citations) and Electrical and Electronic Engineering (593 citations). Junseong Ahn has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Inkyu Park, Jimin Gu, Jungrak Choi, Jun‐Ho Jeong, Yongrok Jeong, Jaeho Park, Sohee Jeon, Kyuyoung Kim, Jiwoo Ko and Donguk Kwon. Their work appears in journals such as ACS Applied Materials & Interfaces, Advanced Functional Materials, Advanced Materials Technologies, Nano Energy and Small.

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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