Oh-Young Song
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 2%
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Computer Graphics and Computer-Aided Design top 1%
- Co-authors
- Hyeong‐Seok KoIrfan MehmoodMuazzam MaqsoodAli Kashif BashirAhmed A. Abd El‐LatifFarhan AadilAbdullah M. IliyasuSitara Afzal
- Topics
- Computer Graphics and Visualization Techniques (12 papers)Fluid Dynamics and Heat Transfer (8 papers)3D Shape Modeling and Analysis (5 papers)
- Partner nations
- South KoreaPakistanUnited Kingdom
In The Last Decade
Oh-Young Song
67 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Artificial Intelligence 460
- Computer Vision and Pattern Recognition 369
- Computer Networks and Communications 295
- Information Systems 223
- Computer Graphics and Computer-Aided Design 223
Countries citing papers authored by Oh-Young Song
This map shows the geographic impact of Oh-Young 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 Oh-Young Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oh-Young Song more than expected).
Fields of papers citing papers by Oh-Young Song
This network shows the impact of papers produced by Oh-Young 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 Oh-Young Song. The network helps show where Oh-Young Song may publish in the future.
Co-authorship network of co-authors of Oh-Young Song
This figure shows the co-authorship network connecting the top 25 collaborators of Oh-Young Song. A scholar is included among the top collaborators of Oh-Young 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 Oh-Young Song. Oh-Young Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 12 | |
| 3 | 47 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 8 | |
| 7 | 15 | |
| 8 | 3 | |
| 9 | 169 | |
| 10 | DITrust Chain: Towards Blockchain-Based Trust Models for Sustainable Healthcare IoT Systemsbreakdown → | 211 |
| 11 | 15 | |
| 12 | 5 | |
| 13 | 137 | |
| 14 | 25 | |
| 15 | 4 | |
| 16 | 3 | |
| 17 | 1 | |
| 18 | 43 | |
| 19 | 17 | |
| 20 | Robust training algorithm of multilayered neural networks for identification of nonlinear dynamic systems | 10 |
About Oh-Young Song
Oh-Young Song is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Health Information Management, having authored 71 papers that have together received 1.6k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (12 papers), Fluid Dynamics and Heat Transfer (8 papers) and 3D Shape Modeling and Analysis (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (223 citations), Neurology (191 citations) and Health Information Management (101 citations). Oh-Young Song has collaborated with scholars based in South Korea, Pakistan and United Kingdom. Frequent co-authors include Hyeong‐Seok Ko, Irfan Mehmood, Muazzam Maqsood, Ali Kashif Bashir, Ahmed A. Abd El‐Latif, Farhan Aadil, Abdullah M. Iliyasu, Sitara Afzal, Umair Khan and Passent Elkafrawy. Their work appears in journals such as IEEE Access, Sensors and ACM Transactions on Graphics.
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.