Hyo Jin Jo

1.7k total citations · 1 hit paper
27 papers, 1.2k citations indexed

About

Hyo Jin Jo is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Hyo Jin Jo has authored 27 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Electrical and Electronic Engineering, 12 papers in Computer Networks and Communications and 11 papers in Information Systems. Recurrent topics in Hyo Jin Jo's work include Vehicular Ad Hoc Networks (VANETs) (19 papers), User Authentication and Security Systems (8 papers) and Advanced Malware Detection Techniques (7 papers). Hyo Jin Jo is often cited by papers focused on Vehicular Ad Hoc Networks (VANETs) (19 papers), User Authentication and Security Systems (8 papers) and Advanced Malware Detection Techniques (7 papers). Hyo Jin Jo collaborates with scholars based in South Korea and United States. Hyo Jin Jo's co-authors include Dong Hoon Lee, Samuel Woo, Wonsuk Choi, Jin Hyun Kim, Insup Lee, Hyon‐Young Choi, Hyung-Hoon Kim, Jong Hwan Park, Dongwoo Kang and Haehyun Cho and has published in prestigious journals such as PLoS ONE, IEEE Access and IEEE Transactions on Smart Grid.

In The Last Decade

Hyo Jin Jo

24 papers receiving 1.2k citations

Hit Papers

A Practical Wireless Attack on the Connected Car and Secu... 2014 2026 2018 2022 2014 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hyo Jin Jo South Korea 14 879 619 413 294 281 27 1.2k
Bogdan Groza Romania 15 548 0.6× 443 0.7× 251 0.6× 219 0.7× 223 0.8× 69 883
Dennis K. Nilsson Sweden 15 495 0.6× 382 0.6× 349 0.8× 214 0.7× 244 0.9× 40 964
André Weimerskirch United States 15 728 0.8× 356 0.6× 384 0.9× 233 0.8× 127 0.5× 38 968
Zhendong Ma Austria 15 698 0.8× 447 0.7× 475 1.2× 283 1.0× 122 0.4× 34 1.1k
Jonathan Petit Netherlands 18 1.4k 1.5× 710 1.1× 608 1.5× 340 1.2× 178 0.6× 54 1.7k
Zhaojun Lu China 12 900 1.0× 532 0.9× 488 1.2× 632 2.1× 84 0.3× 47 1.3k
Timothy Tsai United States 15 974 1.1× 616 1.0× 635 1.5× 198 0.7× 217 0.8× 39 1.8k
Sebastian Steinhorst Germany 21 810 0.9× 361 0.6× 179 0.4× 173 0.6× 76 0.3× 147 1.4k
Tomas Olovsson Sweden 15 291 0.3× 403 0.7× 207 0.5× 334 1.1× 177 0.6× 47 854
Gedare Bloom United States 14 427 0.5× 405 0.7× 256 0.6× 94 0.3× 185 0.7× 63 772

Countries citing papers authored by Hyo Jin Jo

Since Specialization
Citations

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

Fields of papers citing papers by Hyo Jin Jo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hyo Jin Jo. 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 Hyo Jin Jo. The network helps show where Hyo Jin Jo may publish in the future.

Co-authorship network of co-authors of Hyo Jin Jo

This figure shows the co-authorship network connecting the top 25 collaborators of Hyo Jin Jo. A scholar is included among the top collaborators of Hyo Jin Jo 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 Hyo Jin Jo. Hyo Jin Jo 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, Hyung-Hoon, Wonsuk Choi, & Hyo Jin Jo. (2024). PE-Detector: Intrusion Detection of Periodic and Event Message Attacks on Controller Area Networks. IEEE Transactions on Vehicular Technology. 73(12). 19374–19388.
2.
Jo, Hyo Jin, et al.. (2023). Flooding attack mitigator for in-vehicle CAN using fault confinement in CAN protocol. Computers & Security. 126. 103091–103091. 7 indexed citations
3.
Jo, Hyo Jin, et al.. (2023). G-IDCS: Graph-Based Intrusion Detection and Classification System for CAN Protocol. IEEE Access. 11. 39213–39227. 22 indexed citations
4.
Kim, Hyung-Hoon, et al.. (2023). In-Vehicle Network Intrusion Detection System Using CAN Frame-Aware Features. IEEE Transactions on Intelligent Transportation Systems. 25(5). 3843–3853. 8 indexed citations
5.
Lee, Seungmin, Hyung-Hoon Kim, Haehyun Cho, & Hyo Jin Jo. (2023). FIDS: Filtering-Based Intrusion Detection System for In-Vehicle CAN. Intelligent Automation & Soft Computing. 37(3). 2941–2954.
6.
Choi, Wonsuk, et al.. (2023). ErrIDS: An Enhanced Cumulative Timing Error-Based Automotive Intrusion Detection System. IEEE Transactions on Intelligent Transportation Systems. 24(11). 12406–12421. 12 indexed citations
7.
Kim, Hyung-Hoon, et al.. (2022). ASD: ARP Spoofing Detector Using OpenWrt. Security and Communication Networks. 2022. 1–9. 3 indexed citations
8.
Kim, Hyung-Hoon, et al.. (2022). Efficient ECU Analysis Technology Through Structure-Aware CAN Fuzzing. IEEE Access. 10. 23259–23271. 8 indexed citations
9.
Jo, Hyo Jin, et al.. (2022). SOME/IP Intrusion Detection System Using Machine Learning. IEICE Transactions on Information and Systems. E105.D(11). 1923–1924.
10.
Jo, Hyo Jin, et al.. (2022). TTIDS: Transmission-Resuming Time-Based Intrusion Detection System for Controller Area Network (CAN). IEEE Access. 10. 52139–52153. 13 indexed citations
11.
Kim, Jin Hyun, Hyo Jin Jo, & Insup Lee. (2021). Model Checking Resiliency and Sustainability of In-Vehicle Network for Real-Time Authenticity. Applied Sciences. 11(3). 1068–1068. 3 indexed citations
12.
Jo, Hyo Jin & Wonsuk Choi. (2021). A Survey of Attacks on Controller Area Networks and Corresponding Countermeasures. IEEE Transactions on Intelligent Transportation Systems. 23(7). 6123–6141. 76 indexed citations
13.
Choi, Wonsuk, et al.. (2021). An Enhanced Method for Reverse Engineering CAN Data Payload. IEEE Transactions on Vehicular Technology. 70(4). 3371–3381. 25 indexed citations
14.
Jo, Hyo Jin, et al.. (2020). Fine-Grained Access Control-Enabled Logging Method on ARM TrustZone. IEEE Access. 8. 81348–81364. 7 indexed citations
15.
Jo, Hyo Jin & Wonsuk Choi. (2019). BPRF: Blockchain-based privacy-preserving reputation framework for participatory sensing systems. PLoS ONE. 14(12). e0225688–e0225688. 14 indexed citations
16.
Choi, Wonsuk, et al.. (2019). How to Securely Record Logs based on ARM TrustZone. 664–666. 7 indexed citations
17.
Jo, Hyo Jin, Jin Hyun Kim, Hyon‐Young Choi, et al.. (2019). MAuth-CAN: Masquerade-Attack-Proof Authentication for In-Vehicle Networks. IEEE Transactions on Vehicular Technology. 69(2). 2204–2218. 58 indexed citations
18.
Jo, Hyo Jin, et al.. (2017). Reliable Cooperative Authentication for Vehicular Networks. IEEE Transactions on Intelligent Transportation Systems. 19(4). 1065–1079. 57 indexed citations
19.
Jo, Hyo Jin, et al.. (2013). Efficient Privacy-Preserving Authentication in Wireless Mobile Networks. IEEE Transactions on Mobile Computing. 13(7). 1469–1481. 62 indexed citations
20.
Jo, Hyo Jin, et al.. (2012). A Message Authentication and Key Distribution Mechanism Secure Against CAN bus Attack. Information Security and Cryptology. 22(5). 1057–1068. 7 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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