Seungho Song

About

Seungho Song is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Materials Chemistry. According to data from OpenAlex, Seungho Song has authored 18 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Electrical and Electronic Engineering, 6 papers in Artificial Intelligence and 5 papers in Materials Chemistry. Recurrent topics in Seungho Song’s work include Advanced Memory and Neural Computing (9 papers), Neural Networks and Reservoir Computing (6 papers) and ZnO doping and properties (3 papers). Seungho Song is often cited by papers focused on Advanced Memory and Neural Computing (9 papers), Neural Networks and Reservoir Computing (6 papers) and ZnO doping and properties (3 papers). Seungho Song collaborates with scholars based in South Korea, United States and United Kingdom. Seungho Song's co-authors include Yong−Hoon Kim, Sung Kyu Park, Jaehyun Kim, Jeehoon Kim, Sung Min Kwon, Jeong‐Wan Jo, Gyeong‐Su Park, Hak Jun Kim, Eui Dong Yeo and Gi Won Choi and has published in prestigious journals such as Advanced Materials, ACS Applied Materials & Interfaces and Small.

In The Last Decade

Co-authorship network of co-authors of Seungho Song i

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Fields of papers citing papers by Seungho Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Seungho Song

Since Specialization

Citations

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

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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