Jaehun Bang
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Biomedical Engineering
- Computer Networks and Communications top 10%
- Co-authors
- Sungyoung LeeTaeho HurThien Huynh‐TheOresti BañosWajahat Ali KhanMuhammad Bilal AminCam-Hao HuaMuhammad Asif Razzaq
- Topics
- Context-Aware Activity Recognition Systems (8 papers)Emotion and Mood Recognition (7 papers)IoT and Edge/Fog Computing (4 papers)
- Journals
- PLoS ONEIEEE AccessSensors
- Partner nations
- South KoreaAustraliaSpain
In The Last Decade
Jaehun Bang
28 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Computer Vision and Pattern Recognition 317
- Artificial Intelligence 217
- Electrical and Electronic Engineering 143
- Biomedical Engineering 138
- Computer Networks and Communications 133
Countries citing papers authored by Jaehun Bang
This map shows the geographic impact of Jaehun Bang'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 Jaehun Bang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaehun Bang more than expected).
Fields of papers citing papers by Jaehun Bang
This network shows the impact of papers produced by Jaehun Bang. 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 Jaehun Bang. The network helps show where Jaehun Bang may publish in the future.
Co-authorship network of co-authors of Jaehun Bang
This figure shows the co-authorship network connecting the top 25 collaborators of Jaehun Bang. A scholar is included among the top collaborators of Jaehun Bang 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 Jaehun Bang. Jaehun Bang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 15 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 89 | |
| 7 | 4 | |
| 8 | 6 | |
| 9 | 9 | |
| 10 | 42 | |
| 11 | 17 | |
| 12 | 36 | |
| 13 | 65 | |
| 14 | Human Behavior Analysis by Means of Multimodal Context Miningbreakdown → | 388 |
| 15 | Mining minds: journey of evolutionary platform for ubiquitous wellness | 1 |
| 16 | 1 | |
| 17 | 12 | |
| 18 | 31 | |
| 19 | 1 | |
| 20 | 4 |
About Jaehun Bang
Jaehun Bang is a scholar working on Health Informatics, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 30 papers that have together received 1.0k indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (8 papers), Emotion and Mood Recognition (7 papers) and IoT and Edge/Fog Computing (4 papers). The work is most often cited by research in Human-Computer Interaction (102 citations), Computer Vision and Pattern Recognition (317 citations) and Health Informatics (17 citations). Jaehun Bang has collaborated with scholars based in South Korea, Australia and Spain. Frequent co-authors include Sungyoung Lee, Taeho Hur, Sungyoung Lee, Thien Huynh‐The, Oresti Baños, Wajahat Ali Khan, Muhammad Bilal Amin, Cam-Hao Hua, Muhammad Asif Razzaq and Claudia Villalonga. Their work appears in journals such as PLoS ONE, IEEE Access 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.