Yonghwi Kwon

45 papers receiving 578 citations

Peers

Yonghwi Kwon
Comparison fields: 5 of 49
  • Signal Processing 324
  • Software 110
  • Information Systems 271
  • Computer Networks and Communications 273
  • Artificial Intelligence 299
Replace Syed Rafiul Hussain with:
Syed Rafiul Hussain United States
Wei Le United States
René Rydhof Hansen Denmark
Steven H. H. Ding Canada
Johanna Amann United States
Minxue Pan China
Thibaud Lutellier Canada
Lwin Khin Shar Singapore
Yonghwi Kwon relative to Syed Rafiul Hussain United States Syed Rafiul Hussain's profile →
Citations per field
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Citations per year

Countries citing papers authored by Yonghwi Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Yonghwi Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yonghwi Kwon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yonghwi Kwon Line = papers co-authored together Yonghwi Kwon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201874
2
Eavesdropping on fine-grained user activities within smartphone apps over encrypted network traffic
201649
3 201740
4 202135
5 201632
6 201931
7 202128
8 202226
9 202121
10 202120
11 201720
12
Kernel-supported cost-effective audit logging for causality tracking
201820
13 202017
14 202117
15 201917
16 201617
17 201615
18 201513
19 202111
20 201711

About Yonghwi Kwon

Yonghwi Kwon is a scholar working on Signal Processing, Artificial Intelligence, Information Systems, Computer Networks and Communications and Software, having authored 50 papers that have together received 591 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (40 papers), Security and Verification in Computing (22 papers), Software Testing and Debugging Techniques (13 papers), Web Application Security Vulnerabilities (10 papers), Spam and Phishing Detection (9 papers), Network Security and Intrusion Detection (8 papers), Software System Performance and Reliability (7 papers) and Distributed systems and fault tolerance (5 papers). The work is most often cited by research in Signal Processing (324 citations), Software (110 citations), Information Systems (271 citations), Computer Networks and Communications (273 citations) and Artificial Intelligence (299 citations). Yonghwi Kwon has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Xiangyu Zhang, Dongyan Xu, Weihang Wang, Brendan Saltaformaggio, Kyu Hyoung Lee, Chung Hwan Kim, Zhuo Zhang, Vinod Yegneswaran, Ashish Gehani and Gabriela Ciocarlie. Their work appears in journals such as ACM SIGPLAN Notices, Proceedings of the ACM on Programming Languages, IEEE Transactions on Information Forensics and Security, ACM SIGOPS Operating Systems Review and View.

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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