Young‐Gab Kim

7.3k total citations · 1 hit paper
129 papers, 2.9k citations indexed

About

Young‐Gab Kim is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Young‐Gab Kim has authored 129 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Information Systems, 58 papers in Computer Networks and Communications and 38 papers in Artificial Intelligence. Recurrent topics in Young‐Gab Kim's work include Cloud Data Security Solutions (16 papers), IoT and Edge/Fog Computing (16 papers) and Access Control and Trust (15 papers). Young‐Gab Kim is often cited by papers focused on Cloud Data Security Solutions (16 papers), IoT and Edge/Fog Computing (16 papers) and Access Control and Trust (15 papers). Young‐Gab Kim collaborates with scholars based in South Korea, United States and India. Young‐Gab Kim's co-authors include Sangmin Park, June‐Young Koh, Euijong Lee, Young-Duk Seo, Se-Ra Oh, Jisun Lee, Doo-Kwon Baik, Aamir Shahzad, Sang‐Min Park and Yujun Kim and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, Expert Systems with Applications and IEEE Access.

In The Last Decade

Young‐Gab Kim

122 papers receiving 2.8k citations

Hit Papers

A Metaverse: Taxonomy, Components, Applications, and Open... 2022 2026 2023 2024 2022 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Young‐Gab Kim South Korea 23 968 701 637 564 482 129 2.9k
Simon Gibbs Switzerland 16 1.0k 1.1× 853 1.2× 643 1.0× 850 1.5× 479 1.0× 37 2.8k
Florian Michahelles Switzerland 26 627 0.6× 698 1.0× 298 0.5× 377 0.7× 745 1.5× 139 2.9k
Amy J. Ko United States 43 2.3k 2.4× 506 0.7× 894 1.4× 757 1.3× 280 0.6× 153 5.4k
Jeffrey Nichols United States 28 784 0.8× 239 0.3× 675 1.1× 941 1.7× 479 1.0× 115 2.8k
Licia Capra United Kingdom 34 1.4k 1.5× 1.3k 1.8× 943 1.5× 314 0.6× 609 1.3× 126 5.0k
Marc Langheinrich Switzerland 29 699 0.7× 413 0.6× 522 0.8× 992 1.8× 843 1.7× 160 2.8k
Marian Petre United Kingdom 30 1.4k 1.4× 319 0.5× 686 1.1× 554 1.0× 297 0.6× 162 4.1k
A. J. Bernheim Brush United States 33 807 0.8× 481 0.7× 390 0.6× 1.3k 2.3× 621 1.3× 92 3.3k
Alan Borning United States 40 728 0.8× 1.1k 1.5× 1.2k 1.9× 1.2k 2.1× 921 1.9× 125 5.2k
m.c. schraefel United Kingdom 34 1.0k 1.1× 436 0.6× 1.1k 1.8× 1.1k 1.9× 457 0.9× 212 3.8k

Countries citing papers authored by Young‐Gab Kim

Since Specialization
Citations

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

Fields of papers citing papers by Young‐Gab Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Young‐Gab Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Young‐Gab Kim. A scholar is included among the top collaborators of Young‐Gab 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 Young‐Gab Kim. Young‐Gab 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, Yujun, et al.. (2025). MPE: Multi-frame prediction error-based video anomaly detection framework for robust anomaly inference. Pattern Recognition. 164. 111595–111595. 1 indexed citations
2.
Kim, Young‐Gab, et al.. (2025). Panoramic Video Synopsis on Constrained Devices for Security Surveillance. Systems. 13(2). 110–110. 1 indexed citations
3.
Kim, Young‐Gab, et al.. (2025). A Comprehensive Review of Advanced Sensor Technologies for Fire Detection with a Focus on Gasistor-Based Sensors. Chemosensors. 13(7). 230–230. 2 indexed citations
4.
Kim, Young‐Gab, et al.. (2025). Multi-sensor data fusion across dimensions: A novel approach to synopsis generation using sensory data. Journal of Industrial Information Integration. 46. 100876–100876.
5.
Kim, Young‐Gab, et al.. (2023). Multiview abnormal video synopsis in real-time. Engineering Applications of Artificial Intelligence. 123. 106406–106406. 9 indexed citations
7.
Park, Sang‐Min & Young‐Gab Kim. (2023). Visual language integration: A survey and open challenges. Computer Science Review. 48. 100548–100548. 11 indexed citations
8.
Kim, Yujun, et al.. (2022). Video anomaly detection using Cross U-Net and cascade sliding window. Journal of King Saud University - Computer and Information Sciences. 34(6). 3273–3284. 14 indexed citations
9.
Park, Sangmin & Young‐Gab Kim. (2022). A Metaverse: Taxonomy, Components, Applications, and Open Challenges. IEEE Access. 10. 4209–4251. 1028 indexed citations breakdown →
10.
Kim, Young‐Gab, et al.. (2022). Secure Collaborative Platform for Health Care Research in an Open Environment: Perspective on Accountability in Access Control. Journal of Medical Internet Research. 24(10). e37978–e37978. 6 indexed citations
11.
Shahzad, Aamir, Kaiwen Zhang, René Landry, Naixue Xiong, & Young‐Gab Kim. (2020). An efficient emerging network and secured hopping scheme employed over the unsecured public channels. International Journal of Distributed Sensor Networks. 16(4). 812444406–812444406. 3 indexed citations
12.
Oh, Se-Ra & Young‐Gab Kim. (2018). Interoperable Security Framework for Heterogeneous IoT Platforms. 7(3). 81–90. 1 indexed citations
13.
Shahzad, Aamir, Yang Sun Lee, Malrey Lee, Young‐Gab Kim, & Naixue Xiong. (2018). Real-Time Cloud-Based Health Tracking and Monitoring System in Designed Boundary for Cardiology Patients. Journal of Sensors. 2018. 1–15. 26 indexed citations
14.
Cho, Sungwon, et al.. (2018). A System for SSL/TLS Vulnerability Detection of Servers. Information Security and Cryptology. 28(1). 145–153. 2 indexed citations
15.
Shahzad, Aamir, et al.. (2018). Centralized Connectivity for Multiwireless Edge Computing and Cellular Platform: A Smart Vehicle Parking System. Wireless Communications and Mobile Computing. 2018(1). 13 indexed citations
16.
Kim, Young‐Gab, et al.. (2018). Privacy-Preserving Attribute-Based Access Control Model for XML-Based Electronic Health Record System. IEEE Access. 6. 9114–9128. 72 indexed citations
17.
Kim, Dohoon, et al.. (2014). A method for risk measurement of botnet's malicious activities. 17(1). 165–180. 1 indexed citations
18.
Kim, Young‐Gab & Sungdeok Cha. (2013). Dynamic access control policy based on RBAC for ubiquitous applications. 16. 7175–7190. 2 indexed citations
19.
Paik, Juryon, et al.. (2006). Mining Association Rules from a Collection of XML Documents using Cross Filtering Algorithm. 1. 120–126. 5 indexed citations
20.
Jeong, Dongwon, Young‐Gab Kim, & Doo-Kwon Baik. (2004). Supporting Integrity of Mobile Agents during Transfer. ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications. 428–431. 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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