Yoon‐Chan Jhi

635 total citations
14 papers, 455 citations indexed

About

Yoon‐Chan Jhi is a scholar working on Signal Processing, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Yoon‐Chan Jhi has authored 14 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Signal Processing, 7 papers in Information Systems and 6 papers in Computer Networks and Communications. Recurrent topics in Yoon‐Chan Jhi's work include Advanced Malware Detection Techniques (14 papers), Software Testing and Debugging Techniques (6 papers) and Network Security and Intrusion Detection (6 papers). Yoon‐Chan Jhi is often cited by papers focused on Advanced Malware Detection Techniques (14 papers), Software Testing and Debugging Techniques (6 papers) and Network Security and Intrusion Detection (6 papers). Yoon‐Chan Jhi collaborates with scholars based in United States, South Korea and China. Yoon‐Chan Jhi's co-authors include Sencun Zhu, Peng Liu, Xinran Wang, Dinghao Wu, Kamal Taha, Xiaoqi Jia, A. Taufiq Asyhari, Paul D. Yoo, Chan Yeob Yeun and Fangfang Zhang and has published in prestigious journals such as IEEE Access, IEEE Transactions on Software Engineering and Security and Communication Networks.

In The Last Decade

Yoon‐Chan Jhi

12 papers receiving 442 citations

Peers

Yoon‐Chan Jhi

SP

IS

AI

CNC

SOFTW

Hong Jin Kang Singapore

Maria Christakis Germany

Hugo Gonzalez Canada

Stefano Calzavara Italy

Yury Zhauniarovich Italy

Konstantin Böttinger Germany

Dongliang Mu United States

Davide Maiorca Italy

Daniele Ucci Italy

Jeffrey Svajlenko Canada

Hong Jin Kang Singapore

Yoon‐Chan Jhi

99 ×0.3

SP

237 ×0.8

IS

151 ×0.8

AI

75 ×0.4

CNC

135 ×0.9

SOFTW

Citations per year, relative to Yoon‐Chan Jhi Yoon‐Chan Jhi (= 1×) peers Hong Jin Kang

Countries citing papers authored by Yoon‐Chan Jhi

Since Specialization

Citations

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

Fields of papers citing papers by Yoon‐Chan Jhi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yoon‐Chan Jhi. 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 Yoon‐Chan Jhi. The network helps show where Yoon‐Chan Jhi may publish in the future.

Co-authorship network of co-authors of Yoon‐Chan Jhi

This figure shows the co-authorship network connecting the top 25 collaborators of Yoon‐Chan Jhi. A scholar is included among the top collaborators of Yoon‐Chan Jhi 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 Yoon‐Chan Jhi. Yoon‐Chan Jhi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

1.

Jhi, Yoon‐Chan, et al.. (2024). EvoFuzz at the SBFT 2024 Tool Competition. 63–64.

2.

Jhi, Yoon‐Chan, et al.. (2024). Effective Unit Test Generation for Java Null Pointer Exceptions. 1044–1056.

3.

Yoo, Paul D., et al.. (2020). IMPACT: Impersonation Attack Detection via Edge Computing Using Deep Autoencoder and Feature Abstraction. IEEE Access. 8. 65520–65529. 79 indexed citations

4.

Yoo, Paul D., et al.. (2019). DEMISe. BIROn (Birkbeck, University of London). 1–10. 27 indexed citations

5.

Jhi, Yoon‐Chan, Xiaoqi Jia, Xinran Wang, et al.. (2015). Program Characterization Using Runtime Values and Its Application to Software Plagiarism Detection. IEEE Transactions on Software Engineering. 41(9). 925–943. 28 indexed citations

6.

Zhang, Fangfang, Yoon‐Chan Jhi, Dinghao Wu, Peng Liu, & Sencun Zhu. (2012). A first step towards algorithm plagiarism detection. 111–121. 47 indexed citations

7.

Jhi, Yoon‐Chan, et al.. (2011). Value-based program characterization and its application to software plagiarism detection. 756–765. 65 indexed citations

8.

Kong, Deguang, Yoon‐Chan Jhi, Tao Gong, et al.. (2011). SAS: semantics aware signature generation for polymorphic worm detection. International Journal of Information Security. 10(5). 269–283. 13 indexed citations

9.

Jhi, Yoon‐Chan, et al.. (2009). PWC: a proactive worm containment solution for enterprise networks. Security and Communication Networks. 3(4). 334–354. 2 indexed citations

10.

Wang, Xinran, Yoon‐Chan Jhi, Sencun Zhu, & Peng Liu. (2009). Detecting Software Theft via System Call Based Birthmarks. 149–158. 71 indexed citations

11.

Wang, Xinran, Yoon‐Chan Jhi, Sencun Zhu, & Peng Liu. (2009). Behavior based software theft detection. 280–290. 73 indexed citations

12.

Wang, Xinran, Yoon‐Chan Jhi, Sencun Zhu, & Peng Liu. (2008). STILL: Exploit Code Detection via Static Taint and Initialization Analyses. 289–298. 42 indexed citations

13.

Wang, Xinran, Yoon‐Chan Jhi, Sencun Zhu, & Peng Liu. (2008). Protecting web services from remote exploit code. 1139–1140. 2 indexed citations

14.

Jhi, Yoon‐Chan, et al.. (2007). Evaluation of collaborative worm containment on the DETER testbed. USENIX Security Symposium. 5–5. 6 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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