Hee Seok Kim

5.6k total citations · 3 hit papers
106 papers, 4.5k citations indexed

About

Hee Seok Kim is a scholar working on Materials Chemistry, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hee Seok Kim has authored 106 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Materials Chemistry, 30 papers in Artificial Intelligence and 18 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hee Seok Kim's work include Cryptographic Implementations and Security (27 papers), Advanced Thermoelectric Materials and Devices (25 papers) and Chaos-based Image/Signal Encryption (15 papers). Hee Seok Kim is often cited by papers focused on Cryptographic Implementations and Security (27 papers), Advanced Thermoelectric Materials and Devices (25 papers) and Chaos-based Image/Signal Encryption (15 papers). Hee Seok Kim collaborates with scholars based in South Korea, United States and China. Hee Seok Kim's co-authors include Zhifeng Ren, Weishu Liu, Qing Jie, Woon‐Hong Yeo, Hyo‐Ryoung Lim, Young‐Tae Kwon, Raza Qazi, Jae‐Woong Jeong, C. W. Chu and Gang Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Energy & Environmental Science.

In The Last Decade

Hee Seok Kim

100 papers receiving 4.4k citations

Hit Papers

Advanced Soft Materials, Sensor Integrations, and Appli... 2015 2026 2018 2022 2019 2015 2015 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
Hee Seok Kim South Korea 30 2.9k 1.1k 994 893 805 106 4.5k
Seung Min Lee South Korea 28 2.6k 0.9× 1.3k 1.1× 589 0.6× 295 0.3× 649 0.8× 110 4.1k
Sung‐Ho Hwang South Korea 42 3.2k 1.1× 2.6k 2.3× 1.5k 1.5× 635 0.7× 368 0.5× 407 7.2k
Feng Xiong China 32 2.9k 1.0× 4.6k 4.0× 596 0.6× 544 0.6× 243 0.3× 118 6.9k
Haitao Yang China 28 941 0.3× 879 0.8× 1.4k 1.4× 595 0.7× 221 0.3× 67 3.3k
Feng Zhu China 48 1.9k 0.7× 3.2k 2.8× 1.4k 1.4× 2.0k 2.2× 846 1.1× 240 7.0k
Shan Tang China 33 1.1k 0.4× 1.4k 1.2× 827 0.8× 340 0.4× 404 0.5× 169 4.0k
Jianjun Li China 41 2.0k 0.7× 1.5k 1.3× 1.5k 1.5× 2.6k 2.9× 259 0.3× 270 6.6k
Hao Sun China 32 1.4k 0.5× 945 0.8× 1.0k 1.0× 339 0.4× 81 0.1× 134 2.8k
Chen Zhu China 35 824 0.3× 2.7k 2.4× 1.1k 1.1× 299 0.3× 151 0.2× 214 3.9k

Countries citing papers authored by Hee Seok Kim

Since Specialization
Citations

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

Fields of papers citing papers by Hee Seok Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hee Seok Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Hee Seok Kim. A scholar is included among the top collaborators of Hee Seok 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 Hee Seok Kim. Hee Seok 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.
Kim, Hee Seok, et al.. (2024). A Novel Side-Channel Archive Framework Using Deep Learning-Based Leakage Compression. IEEE Access. 12. 105326–105336.
2.
Kim, J. H., et al.. (2024). Cloning Hardware Wallet Without Valid Credentials Through Side-Channel Analysis of Hash Function. IEEE Access. 12. 132677–132688. 2 indexed citations
3.
4.
Kim, Hee Seok, et al.. (2023). Autoscaled-Wavelet Convolutional Layer for Deep Learning-Based Side-Channel Analysis. IEEE Access. 11. 95381–95395. 3 indexed citations
5.
Seo, Seog Chung & Hee Seok Kim. (2023). Portable and Efficient Implementation of CRYSTALS-Kyber Based on WebAssembly. Computer Systems Science and Engineering. 46(2). 2091–2107. 2 indexed citations
6.
Kim, Hee Seok, et al.. (2022). Enhancing Time-Frequency Analysis with Zero-Mean Preprocessing. Sensors. 22(7). 2477–2477. 4 indexed citations
7.
Kim, Hee Seok, et al.. (2021). Single trace side-channel attack on key reconciliation in quantum key distribution system and its efficient countermeasures. ICT Express. 7(1). 36–40. 12 indexed citations
8.
Zhu, Kang, Biao Deng, Pengxiang Zhang, et al.. (2020). System efficiency and power: the bridge between the device and system of a thermoelectric power generator. Energy & Environmental Science. 13(10). 3514–3526. 41 indexed citations
9.
Kim, Hee Seok, et al.. (2020). A Combined Single Trace Attack on Global Shuffling Long Integer Multiplication and its Novel Countermeasure. IEEE Access. 8. 5244–5255. 2 indexed citations
10.
Cho, Sungmin, et al.. (2020). An Improved Horizontal Correlation Analysis Using Collision Characteristics on Lookup Table Based Scalar Multiplication Algorithms. Information Security and Cryptology. 30(2). 179–187. 2 indexed citations
11.
Kwon, Young‐Tae, James J. S. Norton, Hyo‐Ryoung Lim, et al.. (2020). Breathable, large-area epidermal electronic systems for recording electromyographic activity during operant conditioning of H-reflex. Biosensors and Bioelectronics. 165. 112404–112404. 29 indexed citations
12.
Cho, Sung‐Min, et al.. (2019). A Practical Collision-Based Power Analysis on RSA Prime Generation and Its Countermeasure. IEEE Access. 7. 47582–47592. 1 indexed citations
13.
Shuai, Jing, Hee Seok Kim, Yucheng Lan, et al.. (2015). Study on thermoelectric performance by Na doping in nanostructured Mg$_{1-x}$Na$_{x}$Ag$_{0.97}$Sb$_{0.99}$. APS March Meeting Abstracts. 2015.
14.
Ahmad, Adeel, Nathan D. Shemonski, Steven G. Adie, et al.. (2013). Real-time in vivo computed optical interferometric tomography. Nature Photonics. 7(6). 444–448. 71 indexed citations
15.
Hanley, Neil, Hee Seok Kim, & Michael Tunstall. (2012). Exploiting Collisions in Addition Chain-based Exponentiation Algorithms Using a Single Trace. IACR Cryptology ePrint Archive. 2 indexed citations
16.
Namgoong, Sung Keon, et al.. (2000). Synthesis of New Tetrakis(multifluoro-4-pyridyl)porphyrin Derivatives as the Electric Eel Acetylcholinesterase Inhibitors. Bulletin of the Korean Chemical Society. 21(2). 264–266. 7 indexed citations
17.
Park, June Dong, Chang Won Choi, Hee Seok Kim, et al.. (2000). Development of Bronchopulmonary Dysplasia and the Peripheral and Tracheal Aspirate Neutrophil Counts and Cytokine Concentrations of Tracheal Aspirate in Preterm Infants with Acute Respiratory Failure.. Journal of the Korean Society of Neonatology. 7(2). 130–138. 1 indexed citations
18.
Kim, Hee Seok, et al.. (2000). Synthesis of tetrakis(multifluoro-4-pyridyl)porphin derivatives as acetylcholinesterase inhibitors. Bioorganic & Medicinal Chemistry Letters. 10(13). 1435–1438. 8 indexed citations
19.
Kim, Hee Seok, et al.. (1998). Association of Early Postnatal Neutropenia and Development of Bronchopulmonary Dysplasia in Preterm Infants. Korean Journal of Pediatrics. 41(8). 1033–1040. 2 indexed citations
20.
Kim, Hee Seok, Ee Kyung Kim, Hee Eun Lee, et al.. (1997). Influence of Phototherapy on Incidence of Patent Ductus Arteriosus in Very Low Birth W eight Infants. Korean Journal of Pediatrics. 40(10). 1410–1418. 1 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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