Seongjin Park
- Computer Vision and Pattern Recognition top 5%
- Computational Theory and Mathematics top 5%
- Biomedical Engineering
- Industrial and Manufacturing Engineering top 5%
- Molecular Biology
- Co-authors
- Ki-Sang HongSeungyong LeeJong‐Tae LimTaekjip HaRavi K. EnnetiTaek–Keun OhJun LiaoM.F. Horstemeyer
- Topics
- Agriculture, Soil, Plant Science (8 papers)Soil Carbon and Nitrogen Dynamics (6 papers)Speech Recognition and Synthesis (5 papers)
- Cited by
- Computer Vision and Pattern RecognitionIndustrial and Manufacturing EngineeringCeramics and Composites
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaThe Science of The Total Environment
- Partner nations
- South KoreaUnited StatesFrance
In The Last Decade
Seongjin Park
52 papers receiving 687 citations
Peers
Comparison fields: 5 of 125
- Computer Vision and Pattern Recognition 201
- Computational Theory and Mathematics 85
- Biomedical Engineering 83
- Industrial and Manufacturing Engineering 70
- Molecular Biology 67
Countries citing papers authored by Seongjin Park
This map shows the geographic impact of Seongjin 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 Seongjin Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seongjin Park more than expected).
Fields of papers citing papers by Seongjin Park
This network shows the impact of papers produced by Seongjin 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 Seongjin Park. The network helps show where Seongjin Park may publish in the future.
Co-authorship network of co-authors of Seongjin Park
This figure shows the co-authorship network connecting the top 25 collaborators of Seongjin Park. A scholar is included among the top collaborators of Seongjin 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 Seongjin Park. Seongjin 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 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 28 | |
| 5 | 1 | |
| 6 | 8 | |
| 7 | 0 | |
| 8 | 4 | |
| 9 | 3 | |
| 10 | 5 | |
| 11 | 9 | |
| 12 | 0 | |
| 13 | 41 | |
| 14 | 38 | |
| 15 | 1 | |
| 16 | 5 | |
| 17 | 10 | |
| 18 | 8 | |
| 19 | 60 | |
| 20 | 8 |
About Seongjin Park
Seongjin Park is a scholar working on Soil Science, Biophysics and Structural Biology, having authored 57 papers that have together received 702 indexed citations. Recurring topics across this work include Agriculture, Soil, Plant Science (8 papers), Soil Carbon and Nitrogen Dynamics (6 papers) and Speech Recognition and Synthesis (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (201 citations), Industrial and Manufacturing Engineering (70 citations) and Ceramics and Composites (33 citations). Seongjin Park has collaborated with scholars based in South Korea, United States and France. Frequent co-authors include Ki-Sang Hong, Seungyong Lee, Jong‐Tae Lim, Taekjip Ha, Ravi K. Enneti, Taek–Keun Oh, Jun Liao, M.F. Horstemeyer, Joanna McKittrick and Hongjoo Rhee. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The Science of The Total Environment.
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.