Sukjae Jang

2.1k citations
17 papers · 1.8k indexed · 1 hit paper · h-index 13
Topics
Advanced Memory and Neural Computing (7 papers)Graphene research and applications (6 papers)Organic Electronics and Photovoltaics (4 papers)

In The Last Decade

Sukjae Jang

16 papers receiving 1.7k citations

Hit Papers

Wafer-Scale Synthesis and Transfer of Graphene Films20102026201520202010250500750

Peers

Sukjae Jang
Comparison fields: 5 of 52
  • Materials Chemistry 1.2k
  • Electrical and Electronic Engineering 1.0k
  • Biomedical Engineering 794
  • Polymers and Plastics 298
  • Electronic, Optical and Magnetic Materials 180
Replace Pradyumna L. Prabhumirashi with:
Pradyumna L. Prabhumirashi United States
Gen-Wen Hsieh Taiwan
N. Pimparkar United States
Guofeng Hu China
Tanmoy Das India
Kyungjune Cho South Korea
Hoon-Sik Kim United States
Myungwoo Son South Korea
Hai‐Ming Zhao China
Jiwan Kim South Korea
Sukjae Jang relative to Pradyumna L. Prabhumirashi United States Pradyumna L. Prabhumirashi's profile →
Citations per field
00.5×1.5×
Pradyumna L. Prabhumirashi · 1×
Citations per year

Countries citing papers authored by Sukjae Jang

Since Specialization
Citations

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

Fields of papers citing papers by Sukjae Jang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sukjae Jang

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 9
2 43
3 7
4 135
5 27
6 22
7 14
8 109
9 31
10 45
11 30
12 203
13 83
14 68
15 1
16
Wafer-Scale Synthesis and Transfer of Graphene Filmsbreakdown →
949
17
A Study on the Problem and Improvement Plan of Pull Test Method and Test Result Judgment of Rock Bolts Usage for Tunnel Construction
0

About Sukjae Jang

Sukjae Jang is a scholar working on Polymers and Plastics, Electrical and Electronic Engineering and Biomedical Engineering, having authored 17 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (7 papers), Graphene research and applications (6 papers) and Organic Electronics and Photovoltaics (4 papers). The work is most often cited by research in Materials Chemistry (1.2k citations), Polymers and Plastics (298 citations) and Electrical and Electronic Engineering (1.0k citations). Sukjae Jang has collaborated with scholars based in South Korea, Sweden and United Kingdom. Frequent co-authors include Byung Hee Hong, Jong‐Hyun Ahn, Youngbin Lee, Sukang Bae, Houk Jang, Young Il Song, Shou-En Zhu, Jeong Ho Cho, E. H. Hwang and Tae‐Wook Kim. Their work appears in journals such as Nano Letters, Carbon and ACS Applied Materials & Interfaces.

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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