Sung‐Hyun Yang
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 10%
- Biomedical Engineering
- Artificial Intelligence
- Co-authors
- Keshav ThapaMd Shafiqul IslamKyoung-Rok ChoByungje LeeHui LiuMd. Humayun KabirMark D. GriffithsMohammed A. Mamun
- Topics
- Context-Aware Activity Recognition Systems (23 papers)IoT-based Smart Home Systems (10 papers)IoT and Edge/Fog Computing (8 papers)
- Cited by
- Computer Vision and Pattern RecognitionApplied PsychologyComputer Networks and Communications
- Partner nations
- South KoreaBangladeshUnited States
In The Last Decade
Sung‐Hyun Yang
56 papers receiving 575 citations
Peers
Comparison fields: 5 of 99
- Electrical and Electronic Engineering 258
- Computer Vision and Pattern Recognition 189
- Computer Networks and Communications 130
- Biomedical Engineering 126
- Artificial Intelligence 74
Countries citing papers authored by Sung‐Hyun Yang
This map shows the geographic impact of Sung‐Hyun Yang'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 Sung‐Hyun Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sung‐Hyun Yang more than expected).
Fields of papers citing papers by Sung‐Hyun Yang
This network shows the impact of papers produced by Sung‐Hyun Yang. 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 Sung‐Hyun Yang. The network helps show where Sung‐Hyun Yang may publish in the future.
Co-authorship network of co-authors of Sung‐Hyun Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Sung‐Hyun Yang. A scholar is included among the top collaborators of Sung‐Hyun Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sung‐Hyun Yang. Sung‐Hyun Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 6 | |
| 3 | 4 | |
| 4 | 46 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | A Practical Indoor Position Estimation by Using a Laptop Computer Equipped With Sensors | 2 |
| 9 | 0 | |
| 10 | DETECTING POTENTIAL SURVIVAL REGIONS OF ONCOMELANIABASED ON GIS AND RS TECHNIQUE IN CHONGQING SEGMENT OF THE THREE-GORGES RESERVOIR | 1 |
| 11 | Synchronization Method in PJM Mode of 13.56 MHz RFID | 0 |
| 12 | A Study on the Location Awareness System Using TOA(Time of Arrival) of CSS(Chirp Spread Spectrum) Algorithm | 2 |
| 13 | 14 | |
| 14 | 4 | |
| 15 | 7 | |
| 16 | 0 | |
| 17 | 26 | |
| 18 | A New Dynamic D-Flip-Flop Aiming at Glitch and Charge Sharing Free | 12 |
| 19 | DESIGN OF A NEW LINEAR OTA WITH A MOBILITY COMPENSATION TECHNIQUE | 1 |
| 20 | 16 |
About Sung‐Hyun Yang
Sung‐Hyun Yang is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Media Technology, having authored 63 papers that have together received 607 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (23 papers), IoT-based Smart Home Systems (10 papers) and IoT and Edge/Fog Computing (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (189 citations), Applied Psychology (33 citations) and Computer Networks and Communications (130 citations). Sung‐Hyun Yang has collaborated with scholars based in South Korea, Bangladesh and United States. Frequent co-authors include Keshav Thapa, Md Shafiqul Islam, Kyoung-Rok Cho, Byungje Lee, Hui Liu, Md. Humayun Kabir, Mark D. Griffiths, Mohammed A. Mamun, Kyu‐Ho Kim and Parshant Kumar Sharma. Their work appears in journals such as IEEE Access, Sensors and Frontiers in Psychiatry.
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.