Seulki Park
- Molecular Biology
- Artificial Intelligence top 10%
- Food Science top 10%
- Computer Vision and Pattern Recognition top 10%
- Biomedical Engineering
- Co-authors
- Young‐Mog KimJin Young ChoiFazlurrahman KhanYounghan JeonSangdoo YunByeongho HeoDu‐Min JoYoonkyung Won
- Topics
- Spectroscopy and Chemometric Analyses (9 papers)Food Quality and Safety Studies (9 papers)Meat and Animal Product Quality (8 papers)
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Seulki Park
86 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 152
- Molecular Biology 348
- Artificial Intelligence 194
- Food Science 126
- Computer Vision and Pattern Recognition 118
- Biomedical Engineering 105
Countries citing papers authored by Seulki Park
This map shows the geographic impact of Seulki Park'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 Seulki Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seulki Park more than expected).
Fields of papers citing papers by Seulki Park
This network shows the impact of papers produced by Seulki Park. 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 Seulki Park. The network helps show where Seulki Park may publish in the future.
Co-authorship network of co-authors of Seulki Park
This figure shows the co-authorship network connecting the top 25 collaborators of Seulki Park. A scholar is included among the top collaborators of Seulki Park 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 Seulki Park. Seulki Park is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 10 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 10 | |
| 11 | 33 | |
| 12 | 5 | |
| 13 | 7 | |
| 14 | 21 | |
| 15 | 1 | |
| 16 | 35 | |
| 17 | A Study on Cure Monitoring of Fast Cure Resin RTM Process Using Dielectrometry | 1 |
| 18 | Suppressive Effects of Benincasae hispida on Allergic Inflammation | 3 |
| 19 | High Light-Induced Changes in the Activities of Antioxidant Enzymes and the Accumulation of Astaxanthin in the Green Alga Haematococcus pluvialis | 12 |
| 20 | Application of Nanotechnology to Korean Black-Red Ginseng: Solubility Enhancement by Particle Size Reduction | 5 |
About Seulki Park
Seulki Park is a scholar working on Food Science, Analytical Chemistry and Endocrinology, having authored 95 papers that have together received 1.1k indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (9 papers), Food Quality and Safety Studies (9 papers) and Meat and Animal Product Quality (8 papers). The work is most often cited by research in Food Science (126 citations), Molecular Medicine (33 citations) and Artificial Intelligence (194 citations). Seulki Park has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Young‐Mog Kim, Jin Young Choi, Fazlurrahman Khan, Younghan Jeon, Sangdoo Yun, Byeongho Heo, Du‐Min Jo, Yoonkyung Won, Jang‐Soo Chun and Chakradhar Dasagrandhi. Their work appears in journals such as Nucleic Acids Research, Nature Communications and Advanced Functional 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.