Sang Won Yoon

4.2k total citations · 1 hit paper
156 papers, 3.2k citations indexed

About

Sang Won Yoon is a scholar working on Electrical and Electronic Engineering, Industrial and Manufacturing Engineering and Biomedical Engineering. According to data from OpenAlex, Sang Won Yoon has authored 156 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Electrical and Electronic Engineering, 35 papers in Industrial and Manufacturing Engineering and 34 papers in Biomedical Engineering. Recurrent topics in Sang Won Yoon's work include Scheduling and Optimization Algorithms (16 papers), Advanced Manufacturing and Logistics Optimization (16 papers) and Silicon Carbide Semiconductor Technologies (16 papers). Sang Won Yoon is often cited by papers focused on Scheduling and Optimization Algorithms (16 papers), Advanced Manufacturing and Logistics Optimization (16 papers) and Silicon Carbide Semiconductor Technologies (16 papers). Sang Won Yoon collaborates with scholars based in United States, South Korea and China. Sang Won Yoon's co-authors include Daehan Won, Hyunju Lee, Eun Joo Kim, Jeunghee Park, Hunju Lee, Seungyong Hahn, Kyekun Cheon, Seung‐Hyun Moon, Jaemin Kim and Koji Shiozaki and has published in prestigious journals such as Nano Letters, Biomaterials and The Journal of Physical Chemistry B.

In The Last Decade

Sang Won Yoon

147 papers receiving 3.0k citations

Hit Papers

Prediction of stock price direction using a hybrid GA-XGB... 2021 2026 2022 2024 2021 50 100 150

Peers

Sang Won Yoon
Comparison fields: 5 of 144
  • Electrical and Electronic Engineering 1.3k
  • Biomedical Engineering 785
  • Condensed Matter Physics 578
  • Materials Chemistry 380
  • Industrial and Manufacturing Engineering 329
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Citations per field, relative to Sang Won Yoon
Sang Won Yoon · 1×
Citations per year, relative to Sang Won Yoon
Sang Won Yoon · 1×

Countries citing papers authored by Sang Won Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Sang Won Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sang Won Yoon. 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 Sang Won Yoon. The network helps show where Sang Won Yoon may publish in the future.

Co-authorship network of co-authors of Sang Won Yoon

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 1
4 6
5 3
6 3
7 19
8 5
9 12
10 35
11 9
12 8
13 6
14 15
15 0
16 20
17 25
18 3
19 23
20 28

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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