Byung-Won On
Impact in
- Signal Processing top 5%
- Advanced Malware Detection Techniques
- Information Systems top 2%
- Spam and Phishing Detection
- Service-Oriented Architecture and Web Services
Papers in
-
- Web Data Mining and Analysis 10
- Technology and Data Analysis 7
- Spam and Phishing Detection 7
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- Topic Modeling 8
- Text and Document Classification Technologies 7
- Sentiment Analysis and Opinion Mining 6
- Advanced Text Analysis Techniques 6
- Co-authors
- Gyu Sang Choi (19 shared papers)Arif Mehmood (6 shared papers)Saleem Ullah (4 shared papers)Maqsood Ahmad (2 shared papers)Muhammad Umer (1 shared paper)Zainab Imtiaz (1 shared paper)Saima Sadiq (2 shared papers)Dongwon Lee (1 shared paper)
- Journals
- IEEE Access (8 papers)Applied Sciences (2 papers)Information Sciences (2 papers)Symmetry (2 papers)Sensors (2 papers)
- Partner nations
- South KoreaUnited StatesSingapore
In The Last Decade
Byung-Won On
47 papers receiving 731 citations
Byung-Won On's Hit Papers
Peers
Comparison fields: 5 of 111
- Signal Processing 155
- Information Systems 312
- Artificial Intelligence 400
- Sociology and Political Science 198
- Health Information Management 18
Countries citing papers authored by Byung-Won On
This map shows the geographic impact of Byung-Won On'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 Byung-Won On with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Byung-Won On more than expected).
Fields of papers citing papers by Byung-Won On
This network shows the impact of papers produced by Byung-Won On. 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 Byung-Won On. The network helps show where Byung-Won On may publish in the future.
Co-authors
The 25 scholars most cited alongside Byung-Won On, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Fake News Stance Detection Using Deep Learning Architecture (CNN-LSTM) Hit paper breakdown → | 2020 | 204 |
| 2 | 2019 | 122 | |
| 3 | 2020 | 99 | |
| 4 | 2005 | 51 | |
| 5 | 2018 | 35 | |
| 6 | 2021 | 33 | |
| 7 | 2015 | 31 | |
| 8 | 2018 | 24 | |
| 9 | 2021 | 23 | |
| 10 | 2018 | 22 | |
| 11 | 2009 | 13 | |
| 12 | 2021 | 12 | |
| 13 | 2010 | 12 | |
| 14 | 2014 | 8 | |
| 15 | 2013 | 7 | |
| 16 | 2017 | 7 | |
| 17 | 2010 | 7 | |
| 18 | 2019 | 6 | |
| 19 | 2016 | 6 | |
| 20 | 2010 | 6 |
About Byung-Won On
Byung-Won On is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition and Signal Processing, having authored 58 papers that have together received 797 indexed citations. Recurring topics across this work include Web Data Mining and Analysis (10 papers), Data Quality and Management (8 papers), Topic Modeling (8 papers), Technology and Data Analysis (7 papers), Spam and Phishing Detection (7 papers), Text and Document Classification Technologies (7 papers), Sentiment Analysis and Opinion Mining (6 papers) and Advanced Text Analysis Techniques (6 papers). The work is most often cited by research in Signal Processing (155 citations), Information Systems (312 citations), Artificial Intelligence (400 citations), Sociology and Political Science (198 citations) and Health Information Management (18 citations). Byung-Won On has collaborated with scholars based in South Korea, United States and Singapore. Frequent co-authors include Gyu Sang Choi, Arif Mehmood, Saleem Ullah, Maqsood Ahmad, Muhammad Umer, Zainab Imtiaz, Saima Sadiq, Dongwon Lee, Seog‐Chan Oh and Dongwon Jeong. Their work appears in journals such as IEEE Access, Applied Sciences, Information Sciences, Symmetry and Sensors.
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.