Youngjun Song

1.0k citations
58 papers · 785 · h-index 19

Impact in

    • Advanced Sensor and Energy Harvesting Materials
    • Graphene and Nanomaterials Applications
    • Nanoplatforms for cancer theranostics

Papers in

Youngjun Song

56 papers receiving 772 citations

Peers

Youngjun Song
Comparison fields: 5 of 111
  • Biomedical Engineering 292
  • Bioengineering 38
  • Biomaterials 79
  • Materials Chemistry 267
  • Polymers and Plastics 58
Replace Yunlong Yu with:
Yunlong Yu China
Ravinder Pal Singh India
Jianting Zhang China
Guangwei Zhang China
Yihua Zhou China
Fulvia Villani Italy
Deepak Kedia India
Ying Xue China
Youngjun Song relative to Yunlong Yu China Yunlong Yu's profile →
Citations per field
00.5×4.7×
Yunlong Yu · 1×
Citations per year

Countries citing papers authored by Youngjun Song

Since Specialization
Citations

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

Fields of papers citing papers by Youngjun Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201454
2 201646
3 201942
4 201742
5 201441
6 201939
7 201838
8 201931
9 200830
10 202229
11 201727
12 202125
13 201721
14 201721
15 201320
16 201720
17 201519
18 200619
19 201618
20 200518

About Youngjun Song

Youngjun Song is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Materials Chemistry, Computer Vision and Pattern Recognition and Molecular Biology, having authored 58 papers that have together received 785 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (8 papers), Graphene research and applications (8 papers), Face and Expression Recognition (6 papers), Nanomaterials and Printing Technologies (5 papers), Advanced biosensing and bioanalysis techniques (5 papers), Conducting polymers and applications (4 papers), Carbon and Quantum Dots Applications (4 papers) and Image Retrieval and Classification Techniques (4 papers). The work is most often cited by research in Biomedical Engineering (292 citations), Bioengineering (38 citations), Biomaterials (79 citations), Materials Chemistry (267 citations) and Polymers and Plastics (58 citations). Youngjun Song has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Sejung Kim, Michael J. Heller, Yan Lee, Daewon Sohn, Suyoung Park, Sun‐Woo Choi, Xiaohua Huang, Hoik Lee, Sunah Kang and Hyoungku Kang. Their work appears in journals such as Carbon, ACS Applied Materials & Interfaces, Journal of Materials Research and Technology, Microelectronic Engineering and Angewandte Chemie International Edition.

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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