Y.-M. Kim

47.0k total citations
43 papers, 361 citations indexed

About

Y.-M. Kim is a scholar working on Electrical and Electronic Engineering, Astronomy and Astrophysics and Artificial Intelligence. According to data from OpenAlex, Y.-M. Kim has authored 43 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Electrical and Electronic Engineering, 12 papers in Astronomy and Astrophysics and 6 papers in Artificial Intelligence. Recurrent topics in Y.-M. Kim's work include Pulsars and Gravitational Waves Research (12 papers), Semiconductor materials and devices (9 papers) and Advancements in Semiconductor Devices and Circuit Design (8 papers). Y.-M. Kim is often cited by papers focused on Pulsars and Gravitational Waves Research (12 papers), Semiconductor materials and devices (9 papers) and Advancements in Semiconductor Devices and Circuit Design (8 papers). Y.-M. Kim collaborates with scholars based in South Korea, United States and Canada. Y.-M. Kim's co-authors include David Enke, Chang‐Hwan Lee, Chang Ho Hyun, Kyong Joo Oh, J. J. Oh, S. H. Oh, P. Papakonstantinou, Edwin J. Son, Kyungmin Kim and Éric-Olivier Le Bigot and has published in prestigious journals such as Physical Review Letters, Developmental Psychology and Ecological Indicators.

In The Last Decade

Y.-M. Kim

41 papers receiving 341 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Y.-M. Kim South Korea 11 126 71 69 64 54 43 361
Gilles Faÿ France 6 142 1.1× 31 0.4× 12 0.2× 33 0.5× 53 1.0× 13 328
R. T. J. McAteer United States 19 914 7.3× 139 2.0× 23 0.3× 9 0.1× 31 0.6× 30 1.1k
Werner Nagel Germany 18 304 2.4× 38 0.5× 26 0.4× 7 0.1× 99 1.8× 58 794
Alexey B. Iskakov Russia 12 212 1.7× 15 0.2× 98 1.4× 14 0.2× 70 1.3× 50 500
Yunfei Yang China 15 526 4.2× 82 1.2× 25 0.4× 9 0.1× 12 0.2× 57 633
E. Peluso Italy 14 34 0.3× 153 2.2× 28 0.4× 26 0.4× 281 5.2× 68 582
Douglas Kelker Canada 9 275 2.2× 81 1.1× 5 0.1× 30 0.5× 11 0.2× 21 600
Márcio P. de Albuquerque Brazil 11 7 0.1× 85 1.2× 39 0.6× 103 1.6× 41 0.8× 45 618
Cheng Meng China 13 260 2.1× 58 0.8× 21 0.3× 11 0.2× 16 0.3× 54 509
R. T. James McAteer United States 12 549 4.4× 173 2.4× 13 0.2× 6 0.1× 19 0.4× 24 680

Countries citing papers authored by Y.-M. Kim

Since Specialization
Citations

This map shows the geographic impact of Y.-M. 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 Y.-M. Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Y.-M. Kim more than expected).

Fields of papers citing papers by Y.-M. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Y.-M. 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 Y.-M. Kim. The network helps show where Y.-M. Kim may publish in the future.

Co-authorship network of co-authors of Y.-M. Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Y.-M. Kim. A scholar is included among the top collaborators of Y.-M. 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 Y.-M. Kim. Y.-M. 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.
2.
Jung, P., S. H. Oh, Y.-M. Kim, et al.. (2022). Identifying multichannel coherent couplings and causal relationships in gravitational wave detectors. Physical review. D. 106(4). 3 indexed citations
3.
Kim, Y.-M., et al.. (2021). Measuring the masses and radii of neutron stars in low-mass X-ray binaries: Effects of the atmospheric composition and touchdown radius. Springer Link (Chiba Institute of Technology). 7 indexed citations
4.
Kim, Y.-M., Jaehoon Lee, & Todd D. Little. (2021). Multiple Imputation with Principal Components for Non-Normal Categorical Data. Multivariate Behavioral Research. 56(1). 165–166. 3 indexed citations
5.
Son, Edwin J., et al.. (2021). Time series anomaly detection for gravitational-wave detectors based on the Hilbert–Huang transform. Journal of the Korean Physical Society. 78(10). 878–885. 7 indexed citations
6.
Kim, Y.-M., et al.. (2021). Neutron star properties from astrophysical observations. Journal of the Korean Physical Society. 78(10). 932–941. 2 indexed citations
7.
Choi, Yong-Beom, et al.. (2020). Gravitational Waves and Measurability of Neutron Star Tidal Deformability. New Physics Sae Mulli. 70(1). 97–102. 1 indexed citations
8.
Lee, Chang‐Hwan, et al.. (2020). Neutron star equations of state and their applications. International Journal of Modern Physics E. 29(7). 2030007–2030007. 2 indexed citations
9.
Kim, Y.-M., Saravanan Nagappan, & Ildoo Chung. (2020). Vulcanization behavior and mechanical properties of isoprene-modified silica reinforced butyl rubber composites. Molecular Crystals and Liquid Crystals. 707(1). 46–58. 2 indexed citations
10.
Oh, S. H., E. J. Son, Whansun Kim, et al.. (2016). Observation and Data Analysis of the Gravitational Wave GW150914. New Physics Sae Mulli. 66(3). 283–292.
11.
Kim, Y.-M. & David Enke. (2016). Using Neural Networks to Forecast Volatility for an Asset Allocation Strategy Based on the Target Volatility. Procedia Computer Science. 95. 281–286. 7 indexed citations
12.
Han, Ki Jin, et al.. (2015). Novel adaptive power gating strategy of TSV-based multi-layer 3D IC. Scholarworks@UNIST (Ulsan National Institute of Science and Technology). 1. 537–541. 1 indexed citations
13.
Kim, Y.-M., et al.. (2014). Comprehensive Performance Analysis of Interconnect Variation by Double and Triple Patterning Lithography Processes. JSTS Journal of Semiconductor Technology and Science. 14(6). 824–831. 5 indexed citations
14.
Kim, Y.-M., et al.. (2014). Implementation of efficient SHA-256 hash algorithm for secure vehicle communication using FPGA. Scholarworks@UNIST (Ulsan National Institute of Science and Technology). 224–225. 19 indexed citations
15.
Han, Ki Jin, et al.. (2014). Analysis and reduction of voltage noise of multi-layer 3D IC with PEEC-based PDN and frequency-dependent TSV models. Scholarworks@UNIST (Ulsan National Institute of Science and Technology). 28. 124–125. 3 indexed citations
16.
Biswas, R., Lindy Blackburn, Junwei Cao, et al.. (2013). Application of machine learning algorithms to the study of noise artifacts in gravitational-wave data. Physical Review Letters. 16 indexed citations
17.
Kim, Y.-M., et al.. (2013). Transistor layout optimization for leakage saving. Scholarworks@UNIST (Ulsan National Institute of Science and Technology). 6156. 253–254. 1 indexed citations
18.
Nguyen, Hung Viet, et al.. (2012). TSV Geometrical Variations and Optimization Metric with Repeaters for 3D IC. IEICE Transactions on Electronics. E95.C(12). 1864–1871. 2 indexed citations
19.
Rahmani, Amir-Mohammad, Pasi Liljeberg, Juha Plosila, et al.. (2012). Partial-LastZ: An optimized hybridization technique for 3D NoC architecture enabling adaptive inter-layer communication. Scholarworks@UNIST (Ulsan National Institute of Science and Technology). 281–284. 2 indexed citations
20.
Nguyen, Hung Viet, et al.. (2011). Performance and power analysis of through silicon via based 3D IC integration. 1–1. 2 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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