Wan‐Young Chung
-
- Sleep and Work-Related Fatigue 25
- Human-Computer Interaction top 1%
- Biomedical Engineering top 1%
- Non-Invasive Vital Sign Monitoring 62
- Wireless Body Area Networks 34
-
- ECG Monitoring and Analysis 32
-
- Energy Efficient Wireless Sensor Networks 36
-
- Optical Wireless Communication Technologies 40
-
- Context-Aware Activity Recognition Systems 37
-
- EEG and Brain-Computer Interfaces 32
- Co-authors
- Boon Giin LeeVega Pradana RachimYoung‐Dong LeeSang‐Joong JungGang LiHeung‐Sub ShinThang Viet TranRoozbeh Jafari
- Journals
- IEEE Sensors Journal (20 papers)Sensors (20 papers)Sensors and Actuators B Chemical (14 papers)
- Partner nations
- South KoreaIndiaChina
In The Last Decade
Wan‐Young Chung
268 papers receiving 5.2k citations
Peers
Comparison fields: 5 of 162
- Experimental and Cognitive Psychology 1.0k
- Human-Computer Interaction 271
- Biomedical Engineering 2.2k
- Cardiology and Cardiovascular Medicine 966
- Computer Networks and Communications 907
Countries citing papers authored by Wan‐Young Chung
This map shows the geographic impact of Wan‐Young Chung'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 Wan‐Young Chung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wan‐Young Chung more than expected).
Fields of papers citing papers by Wan‐Young Chung
This network shows the impact of papers produced by Wan‐Young Chung. 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 Wan‐Young Chung. The network helps show where Wan‐Young Chung may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wan‐Young Chung, 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 | 2024 | 11 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 10 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 1 | |
| 9 | 2023 | 8 | |
| 10 | 2023 | 12 | |
| 11 | 2022 | 9 | |
| 12 | 2022 | 20 | |
| 13 | 2022 | 3 | |
| 14 | 2020 | 9 | |
| 15 | 2019 | 8 | |
| 16 | 2018 | 62 | |
| 17 | 2018 | 12 | |
| 18 | 2017 | 12 | |
| 19 | 2012 | 28 | |
| 20 | Ubiquitous Healthcare Data Analysis and Monitoring Using Multiple Wireless Sensors for Elderly Person | 2008 | 17 |
About Wan‐Young Chung
Wan‐Young Chung is a scholar working on Computer Networks and Communications, Biomedical Engineering and Human-Computer Interaction, having authored 291 papers that have together received 5.6k indexed citations. Recurring topics across this work include Non-Invasive Vital Sign Monitoring (62 papers), Optical Wireless Communication Technologies (40 papers), Context-Aware Activity Recognition Systems (37 papers), Energy Efficient Wireless Sensor Networks (36 papers), Wireless Body Area Networks (34 papers), ECG Monitoring and Analysis (32 papers), EEG and Brain-Computer Interfaces (32 papers) and Sleep and Work-Related Fatigue (25 papers). The work is most often cited by research in Experimental and Cognitive Psychology (1.0k citations), Human-Computer Interaction (271 citations) and Biomedical Engineering (2.2k citations). Wan‐Young Chung has collaborated with scholars based in South Korea, India and China. Frequent co-authors include Boon Giin Lee, Vega Pradana Rachim, Young‐Dong Lee, Sang‐Joong Jung, Gang Li, Gang Li, Heung‐Sub Shin, Thang Viet Tran, Roozbeh Jafari and Ramavath Prasad Naik. Their work appears in journals such as IEEE Sensors Journal, Sensors, Sensors and Actuators B Chemical, IEEE Access and Optics Express.
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.