Taigon Song

73 total papers · 1.9k total citations
58 papers, 1.3k citations indexed

About

Taigon Song is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Computer Networks and Communications. According to data from OpenAlex, Taigon Song has authored 58 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Electrical and Electronic Engineering, 8 papers in Hardware and Architecture and 6 papers in Computer Networks and Communications. Recurrent topics in Taigon Song's work include 3D IC and TSV technologies (33 papers), Semiconductor materials and devices (20 papers) and Advancements in Semiconductor Devices and Circuit Design (17 papers). Taigon Song is often cited by papers focused on 3D IC and TSV technologies (33 papers), Semiconductor materials and devices (20 papers) and Advancements in Semiconductor Devices and Circuit Design (17 papers). Taigon Song collaborates with scholars based in South Korea, United States and Israel. Taigon Song's co-authors include Joungho Kim, Sung Kyu Lim, Joohee Kim, Jonghyun Cho, Hyungdong Lee, Kunwoo Park, Jun So Pak, Yarui Peng, Min-Suk Suh and Kwang-Yoo Byun and has published in prestigious journals such as IEEE Access, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and IEEE Transactions on Circuits and Systems I Regular Papers.

In The Last Decade

Taigon Song

55 papers receiving 1.3k citations

Hit Papers

High-Frequency Scalable E... 2011 2026 2016 2021 2011 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Taigon Song 1.3k 137 122 99 90 58 1.3k
Jonghyun Cho 1.6k 1.3× 105 0.8× 137 1.1× 116 1.2× 73 0.8× 86 1.6k
Jun So Pak 1.5k 1.2× 104 0.8× 102 0.8× 103 1.0× 72 0.8× 77 1.5k
Guruprasad Katti 1.0k 0.8× 95 0.7× 90 0.7× 140 1.4× 79 0.9× 27 1.1k
C.W. Surovic 1.1k 0.8× 68 0.5× 24 0.2× 92 0.9× 154 1.7× 38 1.1k
Arif Rahman 1.2k 1.0× 198 1.4× 55 0.5× 129 1.3× 273 3.0× 33 1.5k
H. Kurino 823 0.7× 68 0.5× 114 0.9× 206 2.1× 36 0.4× 51 1.1k
Douglas Yu 1.1k 0.9× 73 0.5× 93 0.8× 137 1.4× 111 1.2× 58 1.2k
R. Horton 1.5k 1.2× 81 0.6× 224 1.8× 228 2.3× 75 0.8× 31 1.6k
Wei-Hao Chen 1.3k 1.0× 89 0.6× 29 0.2× 43 0.4× 152 1.7× 47 1.4k
B. Dang 1.4k 1.1× 97 0.7× 249 2.0× 230 2.3× 82 0.9× 29 1.5k

Countries citing papers authored by Taigon Song

Since Specialization
Citations

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

Fields of papers citing papers by Taigon Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taigon Song

This figure shows the co-authorship network connecting the top 25 collaborators of Taigon Song. A scholar is included among the top collaborators of Taigon 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 Taigon Song. Taigon Song 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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