Seung‐Yeon Kim
- Condensed Matter Physics top 2%
- Molecular Biology
- Materials Chemistry
- Atomic and Molecular Physics, and Optics top 10%
- Statistical and Nonlinear Physics top 5%
- Co-authors
- Richard J. CreswickJooyoung LeeJae‐Hwan LeeJulian LeeIn‐Ho LeeJunghoon LeeJongmin SimGuy Lebanon
- Topics
- Theoretical and Computational Physics (52 papers)Protein Structure and Dynamics (20 papers)Stochastic processes and statistical mechanics (19 papers)
- Partner nations
- South KoreaUnited StatesGermany
In The Last Decade
Seung‐Yeon Kim
96 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 108
- Condensed Matter Physics 502
- Molecular Biology 483
- Materials Chemistry 332
- Atomic and Molecular Physics, and Optics 216
- Statistical and Nonlinear Physics 198
Countries citing papers authored by Seung‐Yeon Kim
This map shows the geographic impact of Seung‐Yeon Kim'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 Seung‐Yeon Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seung‐Yeon Kim more than expected).
Fields of papers citing papers by Seung‐Yeon Kim
This network shows the impact of papers produced by Seung‐Yeon Kim. 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 Seung‐Yeon Kim. The network helps show where Seung‐Yeon Kim may publish in the future.
Co-authorship network of co-authors of Seung‐Yeon Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Seung‐Yeon Kim. A scholar is included among the top collaborators of Seung‐Yeon Kim 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 Seung‐Yeon Kim. Seung‐Yeon Kim 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 | 2 | |
| 3 | A statistical perspective on distillation | 5 |
| 4 | 15 | |
| 5 | Why are Adaptive Methods Good for Attention Models | 2 |
| 6 | 0 | |
| 7 | 1 | |
| 8 | A Study on the Language Usage Aspect in TV Entertainment Program | 0 |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 14 | |
| 12 | 6 | |
| 13 | 21 | |
| 14 | 16 | |
| 15 | The Credit Evaluation System for Micro-small Sized Individual Firms Using the Analytic Hierarchy Process | 1 |
| 16 | 29 | |
| 17 | Prediction of the secondary structures of proteins by using PREDICT, a nearest neighbor method on pattern space | 8 |
| 18 | 55 | |
| 19 | 27 | |
| 20 | 18 |
About Seung‐Yeon Kim
Seung‐Yeon Kim is a scholar working on Condensed Matter Physics, Mathematical Physics and Statistical and Nonlinear Physics, having authored 107 papers that have together received 1.2k indexed citations. Recurring topics across this work include Theoretical and Computational Physics (52 papers), Protein Structure and Dynamics (20 papers) and Stochastic processes and statistical mechanics (19 papers). The work is most often cited by research in Condensed Matter Physics (502 citations), Mathematical Physics (192 citations) and Statistical and Nonlinear Physics (198 citations). Seung‐Yeon Kim has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Richard J. Creswick, Jooyoung Lee, Jooyoung Lee, Jae‐Hwan Lee, Julian Lee, Julian Lee, In‐Ho Lee, Junghoon Lee, Jongmin Sim and Guy Lebanon. Their work appears in journals such as Physical Review Letters, Nature Communications and The Journal of Chemical Physics.
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.