Young‐Jin Yoon
- Computer Vision and Pattern Recognition top 2%
- Media Technology top 2%
- Electrical and Electronic Engineering
- Materials Chemistry
- Biomedical Engineering
- Co-authors
- In So KweonHae‐Gon JeonDonggeun YooJoon‐Young LeeSeon Joo KimHyunjung ShinWon‐Sub YoonHyun Suk Jung
- Topics
- Healthcare and Venom Research (6 papers)Gold and Silver Nanoparticles Synthesis and Applications (4 papers)Traditional Chinese Medicine Studies (4 papers)
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Young‐Jin Yoon
37 papers receiving 893 citations
Peers
Comparison fields: 5 of 112
- Computer Vision and Pattern Recognition 535
- Media Technology 150
- Electrical and Electronic Engineering 118
- Materials Chemistry 101
- Biomedical Engineering 74
Countries citing papers authored by Young‐Jin Yoon
This map shows the geographic impact of Young‐Jin 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 Young‐Jin Yoon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Young‐Jin Yoon more than expected).
Fields of papers citing papers by Young‐Jin Yoon
This network shows the impact of papers produced by Young‐Jin 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 Young‐Jin Yoon. The network helps show where Young‐Jin Yoon may publish in the future.
Co-authorship network of co-authors of Young‐Jin Yoon
This figure shows the co-authorship network connecting the top 25 collaborators of Young‐Jin Yoon. A scholar is included among the top collaborators of Young‐Jin 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 Young‐Jin Yoon. Young‐Jin Yoon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 6 | |
| 7 | 4 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 20 | |
| 12 | 17 | |
| 13 | 3 | |
| 14 | Ryodoraku Application for Diagnosis : a Review of Korean Literature | 6 |
| 15 | Lipid Oxidation and Stability of Tocopherols and Phospholipids in Soy-added Fried Products During Storage in the Dark | 18 |
| 16 | A Clinical Study on the Effect of Red Ginseng for Postmenopausal Hot Flushes | 9 |
| 17 | 7 | |
| 18 | A Study on the Sensorless PMSM Control using the Superposition Theory | 5 |
| 19 | Synthesis of Novel Acyclonucleosides ; Reactions of Diazinone Heterocycles with 4-Bromoacetoacetic acid and Methyl 4-bromoacetoacetate | 3 |
| 20 | Studies on the Constituents of the Chicory Root | 3 |
About Young‐Jin Yoon
Young‐Jin Yoon is a scholar working on Complementary and alternative medicine, Reproductive Medicine and Pharmacology, having authored 44 papers that have together received 927 indexed citations. Recurring topics across this work include Healthcare and Venom Research (6 papers), Gold and Silver Nanoparticles Synthesis and Applications (4 papers) and Traditional Chinese Medicine Studies (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (535 citations), Media Technology (150 citations) and Instrumentation (25 citations). Young‐Jin Yoon has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include In So Kweon, Hae‐Gon Jeon, Donggeun Yoo, Joon‐Young Lee, Seon Joo Kim, Hyunjung Shin, Won‐Sub Yoon, Hyun Suk Jung, Tae‐Hwan Kim and Eunok Choe. Their work appears in journals such as Nano Letters, PLoS ONE and Chemistry of Materials.
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.