Ju Han

2.9k citations
21 papers · 2.3k · 1 hit paper · h-index 11

Impact in

Papers in

Ju Han

21 papers receiving 2.2k citations

Ju Han's Hit Papers

Individual recognition using gait energy image 2006 · 1.5k citations
1.5k0+6+13Years since publication4008001.2k

Peers

Ju Han
Comparison fields: 5 of 116
  • Human-Computer Interaction 516
  • Computer Vision and Pattern Recognition 1.8k
  • Biomedical Engineering 1.5k
  • Media Technology 133
  • Artificial Intelligence 371
Replace Yonghong Hou with:
Yonghong Hou China
Wei Tang United States
Raviteja Vemulapalli United States
Yansong Tang China
Gül Varol France
Francisco M. Castro Spain
Mikel Rodríguez United States
Xi Peng United States
Atilla Baskurt France
Ju Han relative to Yonghong Hou China Yonghong Hou's profile →
Citations per field
00.5×2×3×4.1×
Yonghong Hou · 1×
Citations per year

Countries citing papers authored by Ju Han

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ju Han Line = papers co-authored together Ju Han links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Individual recognition using gait energy image
Hit paper breakdown →
20061483
2 2006230
3 2007159
4 2017132
5 2006106
6 200343
7 200535
8 200432
9 201229
10 202225
11 201014
12 20229
13 20227
14 20245
15 20225
16 20224
17 20104
18 20052
19 20102
20 20241

About Ju Han

Ju Han is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Media Technology and Pulmonary and Respiratory Medicine, having authored 21 papers that have together received 2.3k indexed citations. Recurring topics across this work include Gait Recognition and Analysis (6 papers), Video Surveillance and Tracking Methods (5 papers), Human Pose and Action Recognition (4 papers), Advanced Image and Video Retrieval Techniques (3 papers), Retinal Imaging and Analysis (2 papers), Medical Image Segmentation Techniques (2 papers), COVID-19 diagnosis using AI (2 papers) and Hand Gesture Recognition Systems (2 papers). The work is most often cited by research in Human-Computer Interaction (516 citations), Computer Vision and Pattern Recognition (1.8k citations), Biomedical Engineering (1.5k citations), Media Technology (133 citations) and Artificial Intelligence (371 citations). Ju Han has collaborated with scholars based in United States, South Korea and Singapore. Frequent co-authors include Bir Bhanu, Kai‐Kuang Ma, Antoine M. Snijders, Jian‐Hua Mao, Hang Chang, Cheng Zhong, Amit K. Roy–Chowdhury, Jiong Yang, Hwanjo Yu and Wei Wang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Advances in computer vision and pattern recognition, Image and Vision Computing, Sensors and European Radiology.

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.

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