Seong-Jun Song

45 total papers · 1.2k total citations
33 papers, 931 citations indexed

About

Seong-Jun Song is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Seong-Jun Song has authored 33 papers receiving a total of 931 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Biomedical Engineering, 20 papers in Electrical and Electronic Engineering and 7 papers in Computer Networks and Communications. Recurrent topics in Seong-Jun Song's work include Analog and Mixed-Signal Circuit Design (14 papers), Advancements in PLL and VCO Technologies (11 papers) and Radio Frequency Integrated Circuit Design (10 papers). Seong-Jun Song is often cited by papers focused on Analog and Mixed-Signal Circuit Design (14 papers), Advancements in PLL and VCO Technologies (11 papers) and Radio Frequency Integrated Circuit Design (10 papers). Seong-Jun Song collaborates with scholars based in South Korea. Seong-Jun Song's co-authors include Hoi‐Jun Yoo, Namjun Cho, Jerald Yoo, Sunyoung Kim, Jaebin Lee, Shiho Kim, Sung Min Park, Kangmin Lee, Byeong‐Gyu Nam and Jeong‐Ho Woo and has published in prestigious journals such as IEEE Journal of Solid-State Circuits, IEEE Transactions on Microwave Theory and Techniques and Conference proceedings.

In The Last Decade

Seong-Jun Song

32 papers receiving 866 citations

Author Peers

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

Author						Papers	Cites
Seong-Jun Song	629	524	349	93	90	33	931
John McNeill	592 0.9×	959 1.8×	228 0.7×	70 0.8×	11 0.1×	66	1.1k
Baibhab Chatterjee	615 1.0×	593 1.1×	218 0.6×	181 1.9×	11 0.1×	84	1.1k
Christian Bachmann	315 0.5×	684 1.3×	153 0.4×	137 1.5×	10 0.1×	57	867
Suyoung Bang	517 0.8×	1.1k 2.0×	125 0.4×	55 0.6×	19 0.2×	34	1.2k
Vasileios Lakafosis	312 0.5×	705 1.3×	342 1.0×	31 0.3×	290 3.2×	43	1.1k
Jan Rabaey	255 0.4×	759 1.4×	166 0.5×	225 2.4×	19 0.2×	15	872
K.R. Laker	729 1.2×	791 1.5×	90 0.3×	93 1.0×	15 0.2×	59	1.1k
Jun Zhou	338 0.5×	652 1.2×	130 0.4×	185 2.0×	22 0.2×	85	900
Byong‐Deok Choi	432 0.7×	628 1.2×	53 0.2×	111 1.2×	30 0.3×	60	971
Mototsugu Hamada	303 0.5×	962 1.8×	85 0.2×	177 1.9×	20 0.2×	106	1.1k

Countries citing papers authored by Seong-Jun Song

Since Specialization

Citations

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

Fields of papers citing papers by Seong-Jun Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seong-Jun Song

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