Sungchang Lee
- Health Informatics top 10%
- Artificial Intelligence top 10%
- Privacy-Preserving Technologies in Data 6
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- Image and Video Quality Assessment 5
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- Caching and Content Delivery 4
- Information Systems top 10%
- Recommender Systems and Techniques 5
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- COVID-19 diagnosis using AI 7
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- Privacy, Security, and Data Protection 6
- Multimedia Communication and Technology 6
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- Complex Network Analysis Techniques 4
- Co-authors
- Abdul MajeedFarman UllahZahoor AhmadJaewan KimWon RyuDae‐Eun KimM. K. A. RahimSang-Min Lee
- Journals
- IEEE Access (4 papers)Chaos Solitons & Fractals (3 papers)Wireless Communications and Mobile Computing (2 papers)
- Partner nations
- South KoreaPakistanUnited States
In The Last Decade
Sungchang Lee
40 papers receiving 503 citations
Peers
Comparison fields: 5 of 84
- Health Informatics 12
- Artificial Intelligence 196
- Computer Vision and Pattern Recognition 123
- Computer Networks and Communications 99
- Information Systems 92
Countries citing papers authored by Sungchang Lee
This map shows the geographic impact of Sungchang Lee'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 Sungchang Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sungchang Lee more than expected).
Fields of papers citing papers by Sungchang Lee
This network shows the impact of papers produced by Sungchang Lee. 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 Sungchang Lee. The network helps show where Sungchang Lee may publish in the future.
Co-authorship network
The 18 scholars most cited alongside Sungchang Lee, 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 | 2023 | 0 | |
| 2 | 2022 | 20 | |
| 3 | 2022 | 5 | |
| 4 | 2022 | 3 | |
| 5 | 2021 | 23 | |
| 6 | 2020 | 2 | |
| 7 | 2020 | 18 | |
| 8 | 2019 | 31 | |
| 9 | 2018 | 4 | |
| 10 | 2017 | 4 | |
| 11 | 2017 | 12 | |
| 12 | 2016 | 8 | |
| 13 | 2015 | 1 | |
| 14 | Upravljački sustav i scenariji usluga za pružanje N-Screen usluga u interaktivnom digitalnom znakovlju | 2014 | 6 |
| 15 | 2014 | 3 | |
| 16 | 2014 | 7 | |
| 17 | 2013 | 1 | |
| 18 | A Study on the Retina shaped Optical Path Shift Using the Prism | 2004 | 1 |
| 19 | 1999 | 9 | |
| 20 | Self-routing permutation networks for communications and computer systems | 1992 | 1 |
About Sungchang Lee
Sungchang Lee is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Information Systems, having authored 44 papers that have together received 519 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (7 papers), Privacy, Security, and Data Protection (6 papers), Privacy-Preserving Technologies in Data (6 papers), Multimedia Communication and Technology (6 papers), Image and Video Quality Assessment (5 papers), Recommender Systems and Techniques (5 papers), Caching and Content Delivery (4 papers) and Complex Network Analysis Techniques (4 papers). The work is most often cited by research in Health Informatics (12 citations), Artificial Intelligence (196 citations) and Computer Vision and Pattern Recognition (123 citations). Sungchang Lee has collaborated with scholars based in South Korea, Pakistan and United States. Frequent co-authors include Abdul Majeed, Farman Ullah, Zahoor Ahmad, Jaewan Kim, Won Ryu, Dae‐Eun Kim, M. K. A. Rahim, Sang-Min Lee, Fawad Zaman and Jin-Pyo Hong. Their work appears in journals such as IEEE Access, Chaos Solitons & Fractals, Wireless Communications and Mobile Computing, Electronics and Applied Sciences.
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.