Yo-Han Kim

1.8k total citations · 1 hit paper
56 papers, 1.3k citations indexed

About

Yo-Han Kim is a scholar working on Electrical and Electronic Engineering, Aerospace Engineering and Biomedical Engineering. According to data from OpenAlex, Yo-Han Kim has authored 56 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Electrical and Electronic Engineering, 11 papers in Aerospace Engineering and 9 papers in Biomedical Engineering. Recurrent topics in Yo-Han Kim's work include Advancements in Semiconductor Devices and Circuit Design (10 papers), Semiconductor materials and devices (10 papers) and Catalysis for Biomass Conversion (4 papers). Yo-Han Kim is often cited by papers focused on Advancements in Semiconductor Devices and Circuit Design (10 papers), Semiconductor materials and devices (10 papers) and Catalysis for Biomass Conversion (4 papers). Yo-Han Kim collaborates with scholars based in South Korea, United States and Denmark. Yo-Han Kim's co-authors include John Sidney, Bjoern Peters, Alessandro Sette, Morten Nielsen, Peng Wang, Ole Lund, Shankar Subramaniam, Clemencia Pinilla, Jisu Ryu and Changwook Jeong and has published in prestigious journals such as Bioinformatics, Magnetic Resonance in Medicine and IEEE Access.

In The Last Decade

Yo-Han Kim

46 papers receiving 1.3k citations

Hit Papers

Peptide binding predictions for HLA DR, DP and DQ molecules 2010 2026 2015 2020 2010 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yo-Han Kim South Korea 16 605 323 227 227 129 56 1.3k
Jin Hwan Ko South Korea 19 579 1.0× 113 0.3× 147 0.6× 102 0.4× 87 0.7× 77 1.8k
Yinghua Chen China 22 235 0.4× 372 1.2× 149 0.7× 413 1.8× 94 0.7× 107 1.6k
Kazuhiro Matsuda Japan 25 508 0.8× 203 0.6× 62 0.3× 407 1.8× 146 1.1× 181 2.3k
Dali Chen China 25 313 0.5× 102 0.3× 257 1.1× 55 0.2× 229 1.8× 135 2.2k
Nannan Zhu China 18 588 1.0× 428 1.3× 95 0.4× 33 0.1× 110 0.9× 40 1.4k
Jing Hu China 20 488 0.8× 178 0.6× 356 1.6× 344 1.5× 97 0.8× 87 1.5k
P. Thévenet France 13 1.1k 1.8× 198 0.6× 168 0.7× 41 0.2× 117 0.9× 29 1.9k
Nathan Edwards United States 29 1.9k 3.1× 334 1.0× 129 0.6× 47 0.2× 105 0.8× 78 2.6k
Qingwei Liu China 28 518 0.9× 113 0.3× 302 1.3× 144 0.6× 398 3.1× 160 2.5k

Countries citing papers authored by Yo-Han Kim

Since Specialization
Citations

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

Fields of papers citing papers by Yo-Han Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yo-Han Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Yo-Han Kim. A scholar is included among the top collaborators of Yo-Han 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 Yo-Han Kim. Yo-Han 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.
Choi, Jin-Young, et al.. (2025). A Neural-Network-Based Statistical Compact Model Using a Variational Autoencoder for Emerging Transistors. IEEE Transactions on Electron Devices. 72(7). 3364–3370.
2.
Choi, Jin-Young, et al.. (2024). Efficient Neural Network-Based Compact Modeling for Novel Device Structures Using a Multi-Fidelity Model and Active Learning. Electronics. 13(23). 4840–4840. 2 indexed citations
3.
Choi, Jin-Young, et al.. (2024). MOBO-Driven Advanced Sub-3-nm Device Optimization for Enhanced PDP Performance. IEEE Transactions on Electron Devices. 71(5). 2881–2887. 6 indexed citations
4.
Kim, Yo-Han, Arastoo Vossough, Hyunyeol Lee, et al.. (2024). Craniofacial Imaging of Pediatric Patients by Ultrashort Echo-Time Bone-Selective MRI in Comparison to CT. Academic Radiology. 31(11). 4629–4642. 1 indexed citations
5.
Choi, Jin-Young, et al.. (2023). Enhancement and Expansion of the Neural Network-Based Compact Model Using a Binning Method. IEEE Journal of the Electron Devices Society. 12. 65–73. 6 indexed citations
6.
Choi, Jin-Young, et al.. (2023). Fast and Expandable ANN-Based Compact Model and Parameter Extraction for Emerging Transistors. IEEE Journal of the Electron Devices Society. 11. 153–160. 23 indexed citations
8.
Wang, Jing, et al.. (2021). Artificial Neural Network-Based Compact Modeling Methodology for Advanced Transistors. IEEE Transactions on Electron Devices. 68(3). 1318–1325. 129 indexed citations
9.
Bae, Ho, et al.. (2021). Learn2Evade: Learning-Based Generative Model for Evading PDF Malware Classifiers. IEEE Transactions on Artificial Intelligence. 2(4). 299–313. 11 indexed citations
10.
Жердев, А. А., et al.. (2021). Selective Couplers Based on Multiplexed Volume Holographic Gratings for Waveguide Displays. Photonics. 8(7). 232–232. 14 indexed citations
11.
Kim, Yo-Han, et al.. (2012). The Effects of Promotion Type on Persuasion: Moderating Role of Temporal Distance and Message Framing. 12. 141–178. 1 indexed citations
12.
Wang, Peng, John Sidney, Yo-Han Kim, et al.. (2010). Peptide binding predictions for HLA DR, DP and DQ molecules. BMC Bioinformatics. 11(1). 568–568. 526 indexed citations breakdown →
13.
Kim, Yo-Han. (2009). The Influence of Congruence between Event and Sponsor on Attitude toward the Sponsor : Mediating Role of Sponsor Motive, Sponsor Credibility, and Attitude toward the Event. Gwanggohak yeon-gu. 11(2). 38–70. 1 indexed citations
14.
Kim, Yo-Han, John Sidney, Clemencia Pinilla, Alessandro Sette, & Bjoern Peters. (2009). Derivation of an amino acid similarity matrix for peptide:MHC binding and its application as a Bayesian prior. BMC Bioinformatics. 10(1). 394–394. 151 indexed citations
15.
Kim, Jiwon, et al.. (2008). Comparison of the Maximum Moment of Ankle Plantarflexors During Various Isokinetic Contractions in the Elderly Males and Females and Young Males and Females. The Transactions of The Korean Institute of Electrical Engineers. 57(10). 1893–1895. 1 indexed citations
16.
Kim, Ji‐Won, et al.. (2008). Comparison of Postural Sway in the Elderly Males and Females during Quiet Standing and Squat-and-Stand Movement. The Transactions of The Korean Institute of Electrical Engineers. 57(11). 2131–2137. 1 indexed citations
17.
Kim, Yusung, et al.. (2008). Unsteady Wind Pressure Analysis on PSD Considering Subway Station Configurations. Journal of the Korean society for railway. 11(1). 13–18. 1 indexed citations
18.
Kim, Yo-Han, et al.. (2008). Structural and Vibration Analyses of 3MW Class Wind-Turbine Blade Using CAE Technique. The KSFM Journal of Fluid Machinery. 11(4). 22–31. 1 indexed citations
19.
Kim, Yo-Han & Shankar Subramaniam. (2005). Locally defined protein phylogenetic profiles reveal previously missed protein interactions and functional relationships. Proteins Structure Function and Bioinformatics. 62(4). 1115–1124. 34 indexed citations
20.
Kim, Yo-Han, et al.. (2002). Improvement in the DNBR Modeling of RETRAN for Safety Analyses of Westinghouse Nuclear Power Plants. Nuclear Engineering and Technology. 34(6). 596–609. 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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