Kitae Kim

455 total citations
39 papers, 323 citations indexed

About

Kitae Kim is a scholar working on Mechanical Engineering, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Kitae Kim has authored 39 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Mechanical Engineering, 7 papers in Artificial Intelligence and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Kitae Kim's work include Liquid Crystal Research Advancements (7 papers), Advanced Materials and Mechanics (5 papers) and Physical Unclonable Functions (PUFs) and Hardware Security (4 papers). Kitae Kim is often cited by papers focused on Liquid Crystal Research Advancements (7 papers), Advanced Materials and Mechanics (5 papers) and Physical Unclonable Functions (PUFs) and Hardware Security (4 papers). Kitae Kim collaborates with scholars based in South Korea, United States and Japan. Kitae Kim's co-authors include Jun‐Hee Na, Se‐Um Kim, Mohsin Hassan Saeed, Tetsuya Ogata, Shigeki Sugano, Kuniyuki Takahashi, Suk‐kyun Ahn, Youngmin Kim, Dae Hwan Kim and Jong Uk Bae and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Nano and Chemical Engineering Journal.

In The Last Decade

Kitae Kim

34 papers receiving 307 citations

Peers

Kitae Kim
Woojoong Kim South Korea
Subin Kim South Korea
Ibrahim Ahmad Malaysia
Ting Yao China
Hyunjin Kim South Korea
Yong Sin Kim South Korea
Woojoong Kim South Korea
Kitae Kim
Citations per year, relative to Kitae Kim Kitae Kim (= 1×) peers Woojoong Kim

Countries citing papers authored by Kitae Kim

Since Specialization
Citations

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

Fields of papers citing papers by Kitae Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kitae Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Kitae Kim. A scholar is included among the top collaborators of Kitae 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 Kitae Kim. Kitae 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
3.
Han, Sora, Kitae Kim, Joo‐Ho Lee, et al.. (2025). Bioinspired and Sustainable Physical Unclonable Functions with Antibacterial Microstructures. Advanced Intelligent Systems. 7(11).
4.
Kim, Kitae, et al.. (2024). Scalable Photo-Responsive Physical Unclonable Functions via Particle Kinetics. ACS Nano. 18(40). 27642–27653. 12 indexed citations
5.
Kim, Kitae, Yan Kyaw Tun, Md. Shirajum Munir, Walid Saad, & Choong Seon Hong. (2024). Pilot Optimization and Channel Estimation Scheme for Semantic Communication: A Framework for Edge Intelligence. VBN Forskningsportal (Aalborg Universitet). 1–7. 2 indexed citations
6.
Kim, Kitae & Jun‐Hee Na. (2024). Optical-Anisotropy-Exploited Irreproducible Functions Using Microwrinkles. ACS Applied Optical Materials. 2(12). 2435–2442. 1 indexed citations
7.
Kim, Kitae, et al.. (2023). Rapid and spatially programmed electrostatic actuation of anisotropic polymers. Chemical Engineering Journal. 475. 146237–146237. 8 indexed citations
8.
Kim, Kitae, et al.. (2023). Voxelated opto-physically unclonable functions via irreplicable wrinkles. Light Science & Applications. 12(1). 245–245. 30 indexed citations
9.
Saeed, Mohsin Hassan, Kitae Kim, Jin Hong Lee, et al.. (2023). Electrostatically Powered Multimode Liquid Crystalline Elastomer Actuators. ACS Applied Materials & Interfaces. 15(48). 56285–56292. 15 indexed citations
10.
Kim, Kitae, et al.. (2022). An Artificial Intelligence Research for Maritime Targets Identification based on ISAR Images. Journal of Society of Korea Industrial and Systems Engineering. 45(2). 12–19.
11.
Kim, Kitae, et al.. (2021). A Study on the Measuring of Combat Effectiveness for Naval Frigates Using Analytic Hierarchy Process. Journal of Society of Korea Industrial and Systems Engineering. 44(1). 9–16. 1 indexed citations
12.
Kim, Kitae, et al.. (2020). A Cognitive Mapping of Artificial Intelligence Speaker Experience and Latent Privacy Concerns. 37(3). 195–231. 1 indexed citations
13.
Kim, Kitae, Chul Woong Joo, Hyunjin Cho, et al.. (2020). Surface wrinkle formation by liquid crystalline polymers for significant light extraction enhancement on quantum dot light-emitting diodes. Optics Express. 28(18). 26519–26519. 8 indexed citations
14.
Kim, Geonu, et al.. (2019). Text Classification Using Parallel Word-level and Character-level Embeddings in Convolutional Neural Networks. Asia Pacific Journal of Information Systems. 29(4). 771–788. 1 indexed citations
15.
Kim, Kitae, et al.. (2018). The way to make training data for deep learning model to recognize keywords in product catalog image at E-commerce. Journal of Intelligence and Information Systems. 24(1). 1–23. 2 indexed citations
16.
Kim, Kitae, et al.. (2018). Tool-Use Model Considering Tool Selection by a Robot Using Deep Learning. 313. 270–276. 8 indexed citations
17.
Takahashi, Kuniyuki, Kitae Kim, Tetsuya Ogata, & Shigeki Sugano. (2017). Tool-body assimilation model considering grasping motion through deep learning. Robotics and Autonomous Systems. 91. 115–127. 32 indexed citations
18.
Lee, Joyoung, et al.. (2015). Short-term Freeway Work Zone Capacity Estimation Using Support Vector Machine Incorporated with Probe-vehicle Data. Transportation Research Board 94th Annual MeetingTransportation Research Board. 3 indexed citations
19.
Shin, Je-Sik, Kitae Kim, & Se‐Hyun Ko. (2013). Effects of Ti Addition into Core Alloy on Forming and Brazing Characteristics of 4343/3003/4343 Aluminum Alloy Clad Sheets. MATERIALS TRANSACTIONS. 54(11). 2131–2138. 4 indexed citations
20.
Choi, Sang‐Ho, et al.. (2004). Fuzzy Learning Method Using Genetic Algorithms. Journal of Korea Multimedia Society. 7(6). 841–850. 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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