Tai‐Won Um
Impact in
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- IoT and Edge/Fog Computing
- Network Security and Intrusion Detection
- Caching and Content Delivery
- Information Systems top 2%
- Blockchain Technology Applications and Security
- Cloud Data Security Solutions
Papers in
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- IoT and Edge/Fog Computing 13
- Caching and Content Delivery 9
- Software-Defined Networks and 5G 6
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- Advanced Optical Network Technologies 10
- Optical Network Technologies 8
- Co-authors
- Gyu Myoung Lee (15 shared papers)Upul Jayasinghe (4 shared papers)Qi Shi (1 shared paper)Nguyen B. Truong (5 shared papers)Muhammad Waleed (8 shared papers)Jun Kyun Choi (9 shared papers)Bo Zhou (2 shared papers)Won Ryu (8 shared papers)
- Journals
- IEEE Access (8 papers)Electronics (5 papers)ETRI Journal (4 papers)Applied Sciences (4 papers)Sensors (3 papers)
- Partner nations
- South KoreaUnited KingdomPakistan
In The Last Decade
Tai‐Won Um
60 papers receiving 763 citations
Peers
Comparison fields: 5 of 86
- Computer Networks and Communications 457
- Information Systems 321
- Artificial Intelligence 198
- Signal Processing 46
- Computer Vision and Pattern Recognition 68
Countries citing papers authored by Tai‐Won Um
This map shows the geographic impact of Tai‐Won Um'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 Tai‐Won Um with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tai‐Won Um more than expected).
Fields of papers citing papers by Tai‐Won Um
This network shows the impact of papers produced by Tai‐Won Um. 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 Tai‐Won Um. The network helps show where Tai‐Won Um may publish in the future.
Co-authors
The 25 scholars most cited alongside Tai‐Won Um, 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 166 | |
| 2 | 2016 | 50 | |
| 3 | 2017 | 35 | |
| 4 | 2021 | 33 | |
| 5 | 2017 | 32 | |
| 6 | 2015 | 31 | |
| 7 | 2018 | 28 | |
| 8 | 2020 | 27 | |
| 9 | 2020 | 22 | |
| 10 | Classification of N-Screen Services and its standardization | 2012 | 22 |
| 11 | 2017 | 21 | |
| 12 | 2014 | 19 | |
| 13 | 2020 | 18 | |
| 14 | 2021 | 16 | |
| 15 | A Survey on Trust Computation in the Internet of Things | 2016 | 15 |
| 16 | 2017 | 13 | |
| 17 | 2016 | 13 | |
| 18 | 2023 | 12 | |
| 19 | 2019 | 12 | |
| 20 | 2024 | 12 |
About Tai‐Won Um
Tai‐Won Um is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 65 papers that have together received 802 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (13 papers), Advanced Optical Network Technologies (10 papers), Caching and Content Delivery (9 papers), Blockchain Technology Applications and Security (8 papers), Optical Network Technologies (8 papers), Cloud Computing and Resource Management (6 papers), Privacy-Preserving Technologies in Data (6 papers) and Software-Defined Networks and 5G (6 papers). The work is most often cited by research in Computer Networks and Communications (457 citations), Information Systems (321 citations), Artificial Intelligence (198 citations), Signal Processing (46 citations) and Computer Vision and Pattern Recognition (68 citations). Tai‐Won Um has collaborated with scholars based in South Korea, United Kingdom and Pakistan. Frequent co-authors include Gyu Myoung Lee, Upul Jayasinghe, Qi Shi, Nguyen B. Truong, Muhammad Waleed, Jun Kyun Choi, Bo Zhou, Won Ryu, Aftab Khan and Tariq Kamal. Their work appears in journals such as IEEE Access, Electronics, ETRI Journal, Applied Sciences 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.