Jaesun Song

801 total citations
23 papers, 687 citations indexed

About

Jaesun Song is a scholar working on Materials Chemistry, Electronic, Optical and Magnetic Materials and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Jaesun Song has authored 23 papers receiving a total of 687 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Materials Chemistry, 13 papers in Electronic, Optical and Magnetic Materials and 11 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Jaesun Song's work include Advanced Photocatalysis Techniques (11 papers), Multiferroics and related materials (8 papers) and Copper-based nanomaterials and applications (7 papers). Jaesun Song is often cited by papers focused on Advanced Photocatalysis Techniques (11 papers), Multiferroics and related materials (8 papers) and Copper-based nanomaterials and applications (7 papers). Jaesun Song collaborates with scholars based in South Korea, United States and Austria. Jaesun Song's co-authors include Sanghan Lee, Sang Yun Jeong, Jongmin Lee, Hyunji An, Ho Won Jang, Taemin Ludvic Kim, Seung‐Kyu Kim, Sehun Seo, Bong‐Joong Kim and Yong‐Ryun Jo and has published in prestigious journals such as Chemistry of Materials, Chemical Communications and Scientific Reports.

In The Last Decade

Jaesun Song

22 papers receiving 678 citations

Peers

Jaesun Song
Comparison fields: 5 of 33
  • Materials Chemistry 529
  • Renewable Energy, Sustainability and the Environment 448
  • Electrical and Electronic Engineering 326
  • Electronic, Optical and Magnetic Materials 188
  • Biomedical Engineering 32
Replace Pei‐Lun Hsieh with:
Pei‐Lun Hsieh Taiwan
P. Hering Germany
Mihir Ranjan Sahoo India
Xiuyun An China
Mahdi Alqahtani Saudi Arabia
Huan He China
Da Sol Jeong South Korea
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Citations per field, relative to Jaesun Song
Jaesun Song · 1×
Citations per year, relative to Jaesun Song
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Countries citing papers authored by Jaesun Song

Since Specialization
Citations

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

Fields of papers citing papers by Jaesun Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaesun Song

This figure shows the co-authorship network connecting the top 25 collaborators of Jaesun Song. A scholar is included among the top collaborators of Jaesun Song 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 Jaesun Song. Jaesun Song 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
# Work Indexed citations
1 0
2 13
3 5
4 30
5 12
6 2
7 8
8 8
9 39
10 65
11 28
12 33
13 23
14 2
15 92
16 29
17 45
18 41
19 55
20 36

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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