Minseok Kim

2.8k total citations · 2 hit papers
27 papers, 1.9k citations indexed

About

Minseok Kim is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Minseok Kim has authored 27 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Electrical and Electronic Engineering, 8 papers in Biomedical Engineering and 6 papers in Artificial Intelligence. Recurrent topics in Minseok Kim's work include Organic Electronics and Photovoltaics (8 papers), Conducting polymers and applications (5 papers) and Organic Light-Emitting Diodes Research (4 papers). Minseok Kim is often cited by papers focused on Organic Electronics and Photovoltaics (8 papers), Conducting polymers and applications (5 papers) and Organic Light-Emitting Diodes Research (4 papers). Minseok Kim collaborates with scholars based in South Korea, United States and Canada. Minseok Kim's co-authors include Jae-Gil Lee, Hwanjun Song, Yoonhan Ahn, Seong Kuk Cho, Seungjoon Baik, Jeong Ik Lee, Seong Jun Bae, Jae Eun, Yooju Shin and Byeong‐Kwon Ju and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and ACS Applied Materials & Interfaces.

In The Last Decade

Minseok Kim

26 papers receiving 1.9k citations

Hit Papers

Review of supercritical CO2 power cycle technology and cu... 2015 2026 2018 2022 2015 2022 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Minseok Kim South Korea 13 792 492 467 308 248 27 1.9k
Hu Wang China 31 1.1k 1.4× 296 0.6× 247 0.5× 392 1.3× 268 1.1× 229 3.1k
Pramod Kumar India 26 1.3k 1.6× 317 0.6× 105 0.2× 278 0.9× 329 1.3× 122 2.3k
Libing Bai China 24 550 0.7× 218 0.4× 164 0.4× 81 0.3× 584 2.4× 132 1.7k
Tielong Shen Japan 32 692 0.9× 217 0.4× 164 0.4× 463 1.5× 1.1k 4.2× 412 4.5k
S. Gopalakrishnan India 40 1.3k 1.7× 648 1.3× 161 0.3× 127 0.4× 338 1.4× 179 5.8k
Zefei Zhu China 18 264 0.3× 339 0.7× 183 0.4× 147 0.5× 126 0.5× 86 1.1k
Hongguang Li China 30 1.1k 1.3× 565 1.1× 146 0.3× 97 0.3× 459 1.9× 193 2.8k
Stefano Mariani Italy 34 540 0.7× 384 0.8× 219 0.5× 192 0.6× 670 2.7× 192 3.1k
Xinkai Chen Japan 38 477 0.6× 378 0.8× 308 0.7× 62 0.2× 583 2.4× 235 4.8k

Countries citing papers authored by Minseok Kim

Since Specialization
Citations

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

Fields of papers citing papers by Minseok Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minseok Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Minseok Kim. A scholar is included among the top collaborators of Minseok 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 Minseok Kim. Minseok 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.
Shahzad, Ahsan, et al.. (2025). Location-Aware Deep Learning Models for Smartphone-Based Activity Recognition in Elderly Populations. IEEE Internet of Things Journal. 13(4). 6230–6242.
2.
Kim, Minseok & Lorenzo Mangolini. (2024). Using Surface-Enhanced Raman Spectroscopy to Probe Surface-Localized Nonthermal Plasma Activation. The Journal of Physical Chemistry Letters. 15(15). 4136–4141. 3 indexed citations
3.
Kim, Doyeon, et al.. (2024). High-performance trench-structured thin film transistor with a micropatterned double-layer oxide semiconductor of varying thickness. Nano Research. 18(1). 94907065–94907065. 1 indexed citations
4.
Kim, Minseok, et al.. (2024). Nonthermal Plasma Activation of Adsorbates: The Case of CO on Pt. SHILAP Revista de lepidopterología. 4(8). 2979–2988. 4 indexed citations
5.
Kim, Minseok, et al.. (2022). Meta-Learning for Online Update of Recommender Systems. Proceedings of the AAAI Conference on Artificial Intelligence. 36(4). 4065–4074. 9 indexed citations
6.
Kim, Minseok, et al.. (2022). Debiasing Neighbor Aggregation for Graph Neural Network in Recommender Systems. Proceedings of the 31st ACM International Conference on Information & Knowledge Management. 4128–4132. 5 indexed citations
7.
Kim, Doyoung, et al.. (2022). COVID-EENet: Predicting Fine-Grained Impact of COVID-19 on Local Economies. Proceedings of the AAAI Conference on Artificial Intelligence. 36(11). 11971–11981. 2 indexed citations
8.
Park, Dongmin, Hwanjun Song, Minseok Kim, & Jae-Gil Lee. (2021). Task-Agnostic Undesirable Feature Deactivation Using Out-of-Distribution Data. Neural Information Processing Systems. 34. 2 indexed citations
9.
Schwan, J., et al.. (2021). Controlled growth of silicon particles via plasma pulsing and their application as battery material. Journal of Physics D Applied Physics. 55(9). 94002–94002. 10 indexed citations
10.
Li, Yuxiang, Minseok Kim, Ziang Wu, et al.. (2019). Influence of backbone modification of difluoroquinoxaline-based copolymers on the interchain packing, blend morphology and photovoltaic properties of nonfullerene organic solar cells. Journal of Materials Chemistry C. 7(6). 1681–1689. 29 indexed citations
11.
Song, Hwanjun, Minseok Kim, & Jae-Gil Lee. (2019). SELFIE: Refurbishing Unclean Samples for Robust Deep Learning. International Conference on Machine Learning. 5907–5915. 106 indexed citations
12.
Kranthiraja, Kakaraparthi, Um Kanta Aryal, Vijaya Gopalan Sree, et al.. (2018). Efficient Approach for Improving the Performance of Nonhalogenated Green Solvent-Processed Polymer Solar Cells via Ternary-Blend Strategy. ACS Applied Materials & Interfaces. 10(16). 13748–13756. 25 indexed citations
13.
Li, Yuxiang, Jin‐Woo Lee, Minseok Kim, et al.. (2018). Regioisomeric wide-band-gap polymers with different fluorine topologies for non-fullerene organic solar cells. Polymer Chemistry. 10(3). 395–402. 25 indexed citations
14.
Park, Junsu, et al.. (2016). Flexible ambipolar organic field-effect transistors with reverse-offset-printed silver electrodes for a complementary inverter. Nanotechnology. 27(22). 225302–225302. 7 indexed citations
15.
Kim, Minseok, et al.. (2016). Efficient Cache Placement Strategy in Two-Tier Wireless Content Delivery Network. IEEE Transactions on Multimedia. 18(6). 1163–1174. 41 indexed citations
16.
Ahn, Yoonhan, Seong Jun Bae, Minseok Kim, et al.. (2015). Review of supercritical CO2 power cycle technology and current status of research and development. Nuclear Engineering and Technology. 47(6). 647–661. 900 indexed citations breakdown →
17.
Kim, Minseok, et al.. (2014). Flexible organic phototransistors based on a combination of printing methods. Organic Electronics. 15(11). 2677–2684. 49 indexed citations
18.
Kim, Minseok, et al.. (2013). Efficient cache placement strategy for wireless content delivery networks. 238–239. 5 indexed citations
19.
Kim, Minseok, Jae Bon Koo, Kang-Jun Baeg, et al.. (2012). Effect of Curing Temperature on Nano-Silver Paste Ink for Organic Thin-Film Transistors. Journal of Nanoscience and Nanotechnology. 12(4). 3272–3275. 4 indexed citations
20.
Kim, Minseok & Seung‐Woo Kim. (2002). Two-longitudinal-mode He-Ne laser for heterodyne interferometers to measure displacement. Applied Optics. 41(28). 5938–5938. 18 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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