Seung‐Yeon Kim

1.7k total citations
107 papers, 1.2k citations indexed

About

Seung‐Yeon Kim is a scholar working on Condensed Matter Physics, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Seung‐Yeon Kim has authored 107 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Condensed Matter Physics, 28 papers in Molecular Biology and 25 papers in Materials Chemistry. Recurrent topics in Seung‐Yeon Kim's work include Theoretical and Computational Physics (52 papers), Protein Structure and Dynamics (20 papers) and Stochastic processes and statistical mechanics (19 papers). Seung‐Yeon Kim is often cited by papers focused on Theoretical and Computational Physics (52 papers), Protein Structure and Dynamics (20 papers) and Stochastic processes and statistical mechanics (19 papers). Seung‐Yeon Kim collaborates with scholars based in South Korea, United States and Germany. Seung‐Yeon Kim's co-authors include Jooyoung Lee, Richard J. Creswick, Julian Lee, Jooyoung Lee, Jae‐Hwan Lee, Julian Lee, In‐Ho Lee, Jongmin Sim, Junghoon Lee and Joonseok Lee and has published in prestigious journals such as Physical Review Letters, Nature Communications and The Journal of Chemical Physics.

In The Last Decade

Seung‐Yeon Kim

96 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Seung‐Yeon Kim South Korea 20 502 483 332 216 198 107 1.2k
Davide Cassi Italy 22 424 0.8× 264 0.5× 82 0.2× 286 1.3× 748 3.8× 109 1.5k
Shai Wiseman Israel 10 500 1.0× 222 0.5× 124 0.4× 169 0.8× 310 1.6× 10 1.0k
Koji Hukushima Japan 19 937 1.9× 104 0.2× 343 1.0× 298 1.4× 328 1.7× 100 1.3k
G. Weisbuch France 18 217 0.4× 373 0.8× 116 0.3× 167 0.8× 172 0.9× 35 1.2k
Victor Spirin United States 10 161 0.3× 998 2.1× 37 0.1× 58 0.3× 316 1.6× 11 1.5k
Laurent Laloux France 15 405 0.8× 118 0.2× 95 0.3× 81 0.4× 416 2.1× 31 2.0k
Emmanuel Guitter France 19 423 0.8× 187 0.4× 259 0.8× 172 0.8× 190 1.0× 60 1.2k
A. Vezzani Italy 22 390 0.8× 98 0.2× 50 0.2× 858 4.0× 455 2.3× 82 1.4k
E J Janse van Rensburg Canada 25 742 1.5× 397 0.8× 536 1.6× 417 1.9× 176 0.9× 123 1.9k
Pierre Barthelemy Italy 9 108 0.2× 162 0.3× 104 0.3× 491 2.3× 174 0.9× 12 1.0k

Countries citing papers authored by Seung‐Yeon Kim

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Rho, Hyunjin, Seung‐Yeon Kim, Seung Up Kim, et al.. (2024). CHIP ameliorates nonalcoholic fatty liver disease via promoting K63- and K27-linked STX17 ubiquitination to facilitate autophagosome-lysosome fusion. Nature Communications. 15(1). 8519–8519. 4 indexed citations
2.
Reddi, Sashank J., Rama Kumar Pasumarthi, Aditya Krishna Menon, et al.. (2021). RankDistil: Knowledge Distillation for Ranking. International Conference on Artificial Intelligence and Statistics. 2368–2376. 4 indexed citations
3.
Menon, Aditya Krishna, Ankit Singh Rawat, Sashank J. Reddi, Seung‐Yeon Kim, & Sanjiv Kumar. (2021). A statistical perspective on distillation. International Conference on Machine Learning. 7632–7642. 5 indexed citations
4.
Zhang, Jingzhao, Sai Praneeth Karimireddy, Andreas Veit, et al.. (2020). Why are Adaptive Methods Good for Attention Models. Neural Information Processing Systems. 33. 15383–15393. 2 indexed citations
5.
Kim, Seung‐Yeon. (2013). A Study on the Language Usage Aspect in TV Entertainment Program. 41. 51–77.
6.
Lee, In‐Ho, Seung‐Yeon Kim, & Jooyoung Lee. (2013). Transition Pathway and Its Free-Energy Profile: A Protocol for Protein Folding Simulations. International Journal of Molecular Sciences. 14(8). 16058–16075. 3 indexed citations
7.
Lee, Jae‐Hwan, Seung‐Yeon Kim, & Julian Lee. (2013). Exact partition functions of a polymer on a square lattice up to chain length 38. Journal of Physics Conference Series. 454. 12083–12083. 1 indexed citations
8.
Lee, Jae‐Hwan, Seung‐Yeon Kim, & Julian Lee. (2013). Partition function zeros of a square-lattice homopolymer with nearest- and next-nearest-neighbor interactions. Physical Review E. 87(5). 52601–52601. 16 indexed citations
9.
Kim, Seung‐Yeon. (2012). Evaluation of an Efficient Monte Carlo Algorithm to Calculate the Density of States. International Journal of Machine Learning and Computing. 144–149. 1 indexed citations
10.
Kim, Seung‐Yeon, et al.. (2012). A Study of Korean Teaching Method using UCC Production. 49(49). 29–57. 1 indexed citations
11.
Lee, Jae‐Hwan, et al.. (2011). Parallel algorithm for calculation of the exact partition function of a lattice polymer. Computer Physics Communications. 182(4). 1027–1033. 14 indexed citations
12.
Lee, Jinwoo, et al.. (2008). Re‐examination of structure optimization of off‐lattice protein AB models by conformational space annealing. Journal of Computational Chemistry. 29(14). 2479–2484. 16 indexed citations
13.
Lee, Jumin, et al.. (2007). The Credit Evaluation System for Micro-small Sized Individual Firms Using the Analytic Hierarchy Process. Journal of Information Systems. 16(3). 109–132. 1 indexed citations
14.
Monroe, James L. & Seung‐Yeon Kim. (2007). Phase diagram and critical exponentνfor the nearest-neighbor and next-nearest-neighbor interaction Ising model. Physical Review E. 76(2). 21123–21123. 22 indexed citations
15.
Kim, Seung‐Yeon, et al.. (2005). Folding simulations of small proteins. Biophysical Chemistry. 115(2-3). 195–200. 20 indexed citations
16.
Lee, Julian, Julian Lee, Seung‐Yeon Kim, Jooyoung Lee, & Jooyoung Lee. (2005). Protein structure prediction based on fragment assembly and parameter optimization. Biophysical Chemistry. 115(2-3). 209–214. 29 indexed citations
17.
Sim, Jongmin, Seung‐Yeon Kim, & Junghoon Lee. (2005). Prediction of protein solvent accessibility using fuzzy k-nearest neighbor method. Computer applications in the biosciences. 21(12). 2844–2849. 65 indexed citations
18.
Lee, Julian, Julian Lee, Seung‐Yeon Kim, et al.. (2004). Prediction of protein tertiary structure using PROFESY, a novel method based on fragment assembly and conformational space annealing. Proteins Structure Function and Bioinformatics. 56(4). 704–714. 55 indexed citations
19.
Joo, Keehyoung, Ilsoo Kim, Seung‐Yeon Kim, et al.. (2004). Prediction of the secondary structures of proteins by using PREDICT, a nearest neighbor method on pattern space. Journal of the Korean Physical Society. 45(6). 1441–1449. 8 indexed citations
20.
Creswick, Richard J. & Seung‐Yeon Kim. (1997). Finite-size scaling of the density of zeros of the partition function in first- and second-order phase transitions. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 56(3). 2418–2422. 27 indexed citations

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.

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