Taeyeong Yun

46 total papers · 2.7k total citations
35 papers, 2.4k citations indexed

About

Taeyeong Yun is a scholar working on Materials Chemistry, Biomedical Engineering and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Taeyeong Yun has authored 35 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Materials Chemistry, 14 papers in Biomedical Engineering and 13 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Taeyeong Yun's work include Graphene research and applications (12 papers), MXene and MAX Phase Materials (9 papers) and Supercapacitor Materials and Fabrication (8 papers). Taeyeong Yun is often cited by papers focused on Graphene research and applications (12 papers), MXene and MAX Phase Materials (9 papers) and Supercapacitor Materials and Fabrication (8 papers). Taeyeong Yun collaborates with scholars based in South Korea, United Kingdom and United States. Taeyeong Yun's co-authors include Sang Ouk Kim, Gang San Lee, Hyerim Kim, Chong Min Koo, Suchithra Padmajan Sasikala, In Ho Kim, Daesin Kim, Seon Joon Kim, Aamir Iqbal and Myung‐Ki Kim and has published in prestigious journals such as Chemical Society Reviews, Advanced Materials and Nano Letters.

In The Last Decade

Taeyeong Yun

33 papers receiving 2.3k citations

Hit Papers

Electromagnetic Shielding... 2020 2026 2022 2024 2020 2020 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Taeyeong Yun 1.4k 966 833 705 372 35 2.4k
Sina Abdolhosseinzadeh 1.8k 1.2× 950 1.0× 884 1.1× 1.2k 1.7× 247 0.7× 26 2.6k
Sai Zhao 1.5k 1.1× 1.5k 1.6× 881 1.1× 603 0.9× 861 2.3× 31 3.0k
Peter A. Lynch 1.5k 1.0× 728 0.8× 908 1.1× 647 0.9× 143 0.4× 43 2.1k
Zhimin Xie 1.4k 1.0× 1.3k 1.3× 811 1.0× 687 1.0× 429 1.2× 52 2.7k
Ce Cui 736 0.5× 781 0.8× 604 0.7× 385 0.5× 425 1.1× 57 1.8k
Lin Jing 1.4k 1.0× 627 0.6× 1.3k 1.6× 807 1.1× 191 0.5× 58 3.0k
Eswaraiah Varrla 1.6k 1.1× 571 0.6× 878 1.1× 730 1.0× 182 0.5× 37 2.7k
Fan Guo 1.1k 0.7× 1.1k 1.1× 721 0.9× 1.4k 1.9× 221 0.6× 52 2.9k
Tuo Wang 974 0.7× 519 0.5× 886 1.1× 892 1.3× 195 0.5× 34 2.3k
Guo‐Ming Weng 757 0.5× 807 0.8× 484 0.6× 1.2k 1.8× 352 0.9× 52 2.3k

Countries citing papers authored by Taeyeong Yun

Since Specialization
Citations

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

Fields of papers citing papers by Taeyeong Yun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taeyeong Yun

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

All Works

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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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