S. Yang

About

S. Yang is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, S. Yang has authored 4 papers receiving a total of 19 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Nuclear and High Energy Physics, 1 paper in Artificial Intelligence and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in S. Yang’s work include High-Energy Particle Collisions Research (2 papers), Particle physics theoretical and experimental studies (2 papers) and Domain Adaptation and Few-Shot Learning (1 paper). S. Yang is often cited by papers focused on High-Energy Particle Collisions Research (2 papers), Particle physics theoretical and experimental studies (2 papers) and Domain Adaptation and Few-Shot Learning (1 paper). S. Yang collaborates with scholars based in South Korea and China. S. Yang's co-authors include J. S. H. Lee, I. J. Watson, Inkyu Park, Hyuk-Jae Lee and Wenquan Feng and has published in prestigious journals such as IEEE Geoscience and Remote Sensing Letters, Pattern Analysis and Applications and Journal of the Korean Physical Society.

In The Last Decade

Co-authorship network of co-authors of S. Yang

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

Fields of papers citing papers by S. Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by S. Yang

Since Specialization

Citations

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