Jungtaek Kim

801 total citations
14 papers, 79 citations indexed

About

Jungtaek Kim is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jungtaek Kim has authored 14 papers receiving a total of 79 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 5 papers in Electrical and Electronic Engineering and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jungtaek Kim's work include Advanced Multi-Objective Optimization Algorithms (3 papers), Quantum and electron transport phenomena (2 papers) and Machine Learning and Data Classification (2 papers). Jungtaek Kim is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (3 papers), Quantum and electron transport phenomena (2 papers) and Machine Learning and Data Classification (2 papers). Jungtaek Kim collaborates with scholars based in South Korea, United States and Germany. Jungtaek Kim's co-authors include Seungjin Choi, Yong‐Deok Kim, Hyohyeong Kang, Paul W. Leu, Qihan Liu, Scott Walker, Mingxuan Li, J. Puls, F. Henneberger and Yirong Li and has published in prestigious journals such as Applied Physics Letters, ACS Applied Materials & Interfaces and Solar Energy.

In The Last Decade

Jungtaek Kim

11 papers receiving 78 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jungtaek Kim South Korea 6 35 14 14 11 10 14 79
Omar A. Imran Iraq 4 18 0.5× 7 0.5× 37 2.6× 9 0.8× 23 2.3× 9 83
Chawin Sitawarin United States 5 40 1.1× 8 0.6× 26 1.9× 16 1.5× 9 0.9× 9 94
Pablo Navarrete Michelini China 6 8 0.2× 12 0.9× 19 1.4× 7 0.6× 51 5.1× 18 84
Qizhu Li China 6 43 1.2× 9 0.6× 46 3.3× 15 1.4× 73 7.3× 8 150
Farhad Arpanaei Spain 8 24 0.7× 16 1.1× 176 12.6× 19 1.7× 6 0.6× 47 222
В. И. Калинин Russia 5 5 0.1× 23 1.6× 46 3.3× 5 0.5× 3 0.3× 37 77
Victor Lu United States 5 8 0.2× 3 0.2× 48 3.4× 37 3.4× 36 3.6× 11 116
Michael Neumann United States 6 5 0.1× 11 0.8× 4 0.3× 6 0.5× 23 2.3× 22 138
Haotian Fan China 10 36 1.0× 9 0.6× 135 9.6× 8 0.7× 12 1.2× 31 174
Nour Mohammad Murad France 7 10 0.3× 15 1.1× 84 6.0× 21 1.9× 1 0.1× 40 132

Countries citing papers authored by Jungtaek Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jungtaek Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jungtaek Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Jungtaek Kim. A scholar is included among the top collaborators of Jungtaek 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 Jungtaek Kim. Jungtaek Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Kim, Jungtaek, et al.. (2024). Model Fusion through Bayesian Optimization in Language Model Fine-Tuning. 29878–29912.
2.
Shanks, Katie, et al.. (2024). Minimizing annual reflection loss in fixed-tilt photovoltaic modules using graded refractive index (GRIN) anti-reflective glass. Solar Energy. 272. 112424–112424. 2 indexed citations
3.
Kim, Jungtaek, et al.. (2024). Flexible Embedded Metal Meshes by Sputter-Free Crack Lithography for Transparent Electrodes and Electromagnetic Interference Shielding. ACS Applied Materials & Interfaces. 16(5). 6382–6393. 15 indexed citations
4.
Kim, Jungtaek, et al.. (2023). Multi-BOWS: multi-fidelity multi-objective Bayesian optimization with warm starts for nanophotonic structure design. Digital Discovery. 3(2). 381–391. 5 indexed citations
5.
Kim, Jungtaek & Seungjin Choi. (2023). BayesO: A Bayesian optimization framework inPython. The Journal of Open Source Software. 8(90). 5320–5320. 2 indexed citations
6.
Kim, Jungtaek, et al.. (2022). Learning to Assemble Geometric Shapes. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. 1046–1052.
7.
Kim, Jungtaek, Michael McCourt, Tackgeun You, Saehoon Kim, & Seungjin Choi. (2021). Bayesian optimization with approximate set kernels. Machine Learning. 110(5). 857–879. 6 indexed citations
8.
Cho, Minsu, et al.. (2020). Fragment Relation Networks for Geometric Shape Assembly. 1 indexed citations
9.
Lee, Juho, Yoonho Lee, Jungtaek Kim, et al.. (2018). Set Transformer. arXiv (Cornell University). 6 indexed citations
10.
Kim, Saehoon, Jungtaek Kim, & Seungjin Choi. (2018). On the Optimal Bit Complexity of Circulant Binary Embedding. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1).
11.
12.
Kim, Jungtaek & Seungjin Choi. (2018). Clustering-Guided Gp-Ucb for Bayesian Optimization. 12. 2461–2465. 1 indexed citations
13.
Kim, Jungtaek, et al.. (2014). Current‐induced control of the electron–nuclear spin system in semiconductors on a micrometer scale. physica status solidi (b). 251(9). 1777–1785. 1 indexed citations
14.
Kim, Jungtaek, et al.. (2010). Electron-nuclear spin control in charged semiconductor quantum dots by electrical currents through micro-coils. Applied Physics Letters. 96(15). 5 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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2026