Tae‐Hyung Kang

1.8k citations
24 papers · 1.6k indexed · 1 hit paper · h-index 14
Topics
Advanced Sensor and Energy Harvesting Materials (8 papers)Heat Transfer and Optimization (4 papers)Conducting polymers and applications (4 papers)
Partner nations
South KoreaUnited States

In The Last Decade

Tae‐Hyung Kang

22 papers receiving 1.6k citations

Hit Papers

Highly Stretchable Resistive Pressure Sensors Using a Con...201420262018202220142505007501000

Peers

Tae‐Hyung Kang
Comparison fields: 5 of 84
  • Biomedical Engineering 1.3k
  • Polymers and Plastics 658
  • Electrical and Electronic Engineering 616
  • Cognitive Neuroscience 599
  • Mechanical Engineering 201
Replace Jun Chang Yang with:
Jun Chang Yang South Korea
Eun Roh South Korea
Tae‐Ik Lee South Korea
Anish Thukral United States
Junwoo Park South Korea
Md Osman Goni Nayeem Japan
Chwee‐Lin Choong South Korea
Daegun Kim South Korea
Yongbiao Wan China
Seungbae Son South Korea
Tae‐Hyung Kang relative to Jun Chang Yang South Korea Jun Chang Yang's profile →
Citations per field
00.5×50×100×138×
Jun Chang Yang · 1×
Citations per year

Countries citing papers authored by Tae‐Hyung Kang

Since Specialization
Citations

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

Fields of papers citing papers by Tae‐Hyung Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tae‐Hyung Kang. 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 Tae‐Hyung Kang. The network helps show where Tae‐Hyung Kang may publish in the future.

Co-authorship network of co-authors of Tae‐Hyung Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Tae‐Hyung Kang. A scholar is included among the top collaborators of Tae‐Hyung Kang 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 Tae‐Hyung Kang. Tae‐Hyung Kang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 7
2 20
3 15
4 37
5 25
6 13
7 1
8 23
9 57
10 33
11 61
12 20
13 14
14 10
15 7
16
Highly Stretchable Resistive Pressure Sensors Using a Conductive Elastomeric Composite on a Micropyramid Arraybreakdown →
1102
17 3
18 47
19 54
20
생물공정 모니터링 및 모델링을 위한 2차원 형광스펙트럼의 다변량 분석
4

About Tae‐Hyung Kang

Tae‐Hyung Kang is a scholar working on Polymers and Plastics, Energy Engineering and Power Technology and Biomedical Engineering, having authored 24 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (8 papers), Heat Transfer and Optimization (4 papers) and Conducting polymers and applications (4 papers). The work is most often cited by research in Polymers and Plastics (658 citations), Cognitive Neuroscience (599 citations) and Biomedical Engineering (1.3k citations). Tae‐Hyung Kang has collaborated with scholars based in South Korea and United States. Frequent co-authors include Byoung‐Sun Lee, Jong‐Jin Park, Mun‐Bo Shim, Chwee‐Lin Choong, Sung Hoon Lee, Dong‐Su Ko, Kyung‐Eun Byun, Jungkyun Im, Jihyun Bae and U‐In Chung. Their work appears in journals such as Advanced Materials, Nano Letters and ACS Nano.

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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