Jiyoung Woo
Impact in
- Signal Processing top 2%
- Advanced Malware Detection Techniques
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- Network Security and Intrusion Detection
Papers in
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- Advanced Malware Detection Techniques 21
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- Complex Network Analysis Techniques 11
- Opinion Dynamics and Social Influence 8
- Co-authors
- Huy Kang KimHyun Min SongAh Reum KangHsinchun ChenByung Il KwakJaeseok YunAziz MohaisenYoung-Seob Jeong
- Journals
- IEEE Access (6 papers)Sensors (5 papers)Applied Sciences (5 papers)Electronics (4 papers)IEEE Internet of Things Journal (3 papers)
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Jiyoung Woo
86 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Signal Processing 454
- Computer Networks and Communications 547
- Health Informatics 26
- Software 64
- Artificial Intelligence 460
Countries citing papers authored by Jiyoung Woo
This map shows the geographic impact of Jiyoung Woo'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 Jiyoung Woo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiyoung Woo more than expected).
Fields of papers citing papers by Jiyoung Woo
This network shows the impact of papers produced by Jiyoung Woo. 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 Jiyoung Woo. The network helps show where Jiyoung Woo may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiyoung Woo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 10 | |
| 3 | 2024 | 6 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 30 | |
| 7 | 2019 | 39 | |
| 8 | 2019 | 1 | |
| 9 | Recent CFC-11 Enhancements in China, Nepal, Pakistan, Saudi Arabia and South Korea | 2019 | 2 |
| 10 | Abusive Sentence Detection using Deep Learning in Online Game | 2019 | 1 |
| 11 | 2018 | 1 | |
| 12 | How Do Multiple Topics in Terse Tweets Affect Retweeting? Evidence from the 2013 Colorado Floods | 2017 | 2 |
| 13 | 2016 | 0 | |
| 14 | 2016 | 58 | |
| 15 | 2014 | 15 | |
| 16 | User Behavior Analysis for Online Game Bot Detection | 2012 | 2 |
| 17 | Detecting gold-farmers’ group in MMORPG by analyzing connection pattern | 2012 | 2 |
| 18 | 2012 | 61 | |
| 19 | 2012 | 7 | |
| 20 | 2011 | 28 |
About Jiyoung Woo
Jiyoung Woo is a scholar working on Signal Processing, Statistical and Nonlinear Physics, Information Systems, Communication and Health Information Management, having authored 93 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (21 papers), Spam and Phishing Detection (14 papers), Network Security and Intrusion Detection (11 papers), Complex Network Analysis Techniques (11 papers), Opinion Dynamics and Social Influence (8 papers), Diabetes Management and Research (5 papers), Cybercrime and Law Enforcement Studies (5 papers) and Digital Games and Media (5 papers). The work is most often cited by research in Signal Processing (454 citations), Computer Networks and Communications (547 citations), Health Informatics (26 citations), Software (64 citations) and Artificial Intelligence (460 citations). Jiyoung Woo has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Huy Kang Kim, Hyun Min Song, Ah Reum Kang, Hsinchun Chen, Byung Il Kwak, Jaeseok Yun, Aziz Mohaisen, Young-Seob Jeong, Juyong Park and Jintae Lee. Their work appears in journals such as IEEE Access, Sensors, Applied Sciences, Electronics and IEEE Internet of Things Journal.
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.