Ju Han
Impact in
- Human-Computer Interaction top 0.5%
- Hand Gesture Recognition Systems
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- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
Papers in
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- Video Surveillance and Tracking Methods 3
- Human Pose and Action Recognition 3
- Advanced Image and Video Retrieval Techniques 3
- Image Retrieval and Classification Techniques 2
- Medical Image Segmentation Techniques 2
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- COVID-19 diagnosis using AI 2
- Co-authors
- Bir Bhanu (7 shared papers)Kai‐Kuang Ma (1 shared paper)Jian‐Hua Mao (2 shared papers)Antoine M. Snijders (2 shared papers)Cheng Zhong (1 shared paper)Hang Chang (1 shared paper)Amit K. Roy–Chowdhury (1 shared paper)Wei Wang (1 shared paper)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)Applied Sciences (1 paper)Annals of the American Thoracic Society (1 paper)Image and Vision Computing (1 paper)Pattern Recognition (1 paper)
- Partner nations
- United StatesSouth KoreaSingapore
In The Last Decade
Ju Han
18 papers receiving 2.0k citations
Ju Han's Hit Papers
Peers
Comparison fields: 5 of 116
- Human-Computer Interaction 451
- Computer Vision and Pattern Recognition 1.6k
- Biomedical Engineering 1.3k
- Media Technology 118
- Artificial Intelligence 323
Countries citing papers authored by Ju Han
This map shows the geographic impact of Ju Han'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 Ju Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ju Han more than expected).
Fields of papers citing papers by Ju Han
This network shows the impact of papers produced by Ju Han. 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 Ju Han. The network helps show where Ju Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Ju Han, 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 | Individual recognition using gait energy image Hit paper breakdown → | 2006 | 1295 |
| 2 | 2006 | 213 | |
| 3 | 2007 | 137 | |
| 4 | 2017 | 123 | |
| 5 | 2006 | 98 | |
| 6 | 2005 | 33 | |
| 7 | 2003 | 33 | |
| 8 | 2004 | 28 | |
| 9 | 2012 | 27 | |
| 10 | 2022 | 22 | |
| 11 | 2022 | 7 | |
| 12 | 2022 | 6 | |
| 13 | 2024 | 5 | |
| 14 | 2010 | 5 | |
| 15 | 2022 | 4 | |
| 16 | 2022 | 3 | |
| 17 | 2005 | 2 | |
| 18 | 2002 | 1 | |
| 19 | 2024 | 0 |
About Ju Han
Ju Han is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Pulmonary and Respiratory Medicine and Ophthalmology, having authored 19 papers that have together received 2.0k indexed citations. Recurring topics across this work include Gait Recognition and Analysis (4 papers), Video Surveillance and Tracking Methods (3 papers), Human Pose and Action Recognition (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), COVID-19 diagnosis using AI (2 papers), Image Retrieval and Classification Techniques (2 papers), Medical Image Segmentation Techniques (2 papers) and Lung Cancer Diagnosis and Treatment (2 papers). The work is most often cited by research in Human-Computer Interaction (451 citations), Computer Vision and Pattern Recognition (1.6k citations), Biomedical Engineering (1.3k citations), Media Technology (118 citations) and Artificial Intelligence (323 citations). Ju Han has collaborated with scholars based in United States, South Korea and Singapore. Frequent co-authors include Bir Bhanu, Kai‐Kuang Ma, Jian‐Hua Mao, Antoine M. Snijders, Cheng Zhong, Hang Chang, Amit K. Roy–Chowdhury, Wei Wang, Jiong Yang and Hwanjo Yu. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Applied Sciences, Annals of the American Thoracic Society, Image and Vision Computing and Pattern Recognition.
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.