Joong-Hwan Baek
- Computer Vision and Pattern Recognition top 5%
- Aging top 2%
- Artificial Intelligence
- Endocrine and Autonomic Systems top 10%
- Physiology
- Co-authors
- Pamela C. CosmanWilliam R SchaferZhaoyang FengJay SilverCharles C. BerryWei GengHyun MyungSung Jun Park
- Topics
- Advanced Image and Video Retrieval Techniques (7 papers)Human Pose and Action Recognition (5 papers)Video Surveillance and Tracking Methods (5 papers)
- Journals
- GeneticsIEEE AccessSensors
- Partner nations
- South KoreaBangladeshUnited States
In The Last Decade
Joong-Hwan Baek
28 papers receiving 398 citations
Peers
Comparison fields: 5 of 95
- Computer Vision and Pattern Recognition 183
- Aging 134
- Artificial Intelligence 63
- Endocrine and Autonomic Systems 56
- Physiology 49
Countries citing papers authored by Joong-Hwan Baek
This map shows the geographic impact of Joong-Hwan Baek'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 Joong-Hwan Baek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joong-Hwan Baek more than expected).
Fields of papers citing papers by Joong-Hwan Baek
This network shows the impact of papers produced by Joong-Hwan Baek. 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 Joong-Hwan Baek. The network helps show where Joong-Hwan Baek may publish in the future.
Co-authorship network of co-authors of Joong-Hwan Baek
This figure shows the co-authorship network connecting the top 25 collaborators of Joong-Hwan Baek. A scholar is included among the top collaborators of Joong-Hwan Baek 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 Joong-Hwan Baek. Joong-Hwan Baek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 4 | |
| 3 | 18 | |
| 4 | 17 | |
| 5 | 9 | |
| 6 | 25 | |
| 7 | 18 | |
| 8 | 7 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 0 | |
| 12 | Object classification based on visual and extended features for video surveillance application | 8 |
| 13 | Realtime Markerless 3D Object Tracking for Augmented Reality | 1 |
| 14 | 3 | |
| 15 | 1 | |
| 16 | Quantitative Classification and Natural Clustering of C. elegans Behavioral Phenotypes | 12 |
| 17 | Image Features and Natural Clustering of Worm Body Shapes and Motion. | 3 |
| 18 | Shot Change Detection Using Multiple Features and Classification and Regression Tree (CART). | 1 |
| 19 | 98 | |
| 20 | Implementation and Evaluation of Flight Tasks in Instrument Flight Simulator | 1 |
About Joong-Hwan Baek
Joong-Hwan Baek is a scholar working on Aging, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 32 papers that have together received 418 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (7 papers), Human Pose and Action Recognition (5 papers) and Video Surveillance and Tracking Methods (5 papers). The work is most often cited by research in Aging (134 citations), Computer Vision and Pattern Recognition (183 citations) and Endocrine and Autonomic Systems (56 citations). Joong-Hwan Baek has collaborated with scholars based in South Korea, Bangladesh and United States. Frequent co-authors include Pamela C. Cosman, William R Schafer, Zhaoyang Feng, Jay Silver, Charles C. Berry, Wei Geng, Hyun Myung, Sung Jun Park, Byungkyu Kim and Wonkeun Youn. Their work appears in journals such as Genetics, 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.