Ju Han

999 citations
28 papers · 779 · h-index 15

Impact in

Papers in

Ju Han

24 papers receiving 732 citations

Peers

Ju Han
Comparison fields: 5 of 85
  • Computer Vision and Pattern Recognition 450
  • Human-Computer Interaction 93
  • Biomedical Engineering 391
  • Media Technology 69
  • Polymers and Plastics 70
Replace Zhe Lin with:
Zhe Lin United States
Junyeop Lee South Korea
Jihong Liu China
Seok‐Han Lee South Korea
Jongbae Kim South Korea
Dong Ma Singapore
Zhaofeng He China
Kishore Sundara-Rajan United States
Haoyu Chen China
Sreedhar Kollem India
Ju Han relative to Zhe Lin United States Zhe Lin's profile →
Citations per field
00.5×
Zhe Lin · 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 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002243
2 2004118
3 202253
4 202246
5 202043
6 200332
7 202132
8 202331
9 200328
10 200523
11 200322
12 202421
13 202219
14 200417
15 202416
16 20109
17 20038
18 20054
19 20203
20 20103

About Ju Han

Ju Han is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition, Human-Computer Interaction, Electrical and Electronic Engineering and Artificial Intelligence, having authored 28 papers that have together received 779 indexed citations. Recurring topics across this work include Gait Recognition and Analysis (13 papers), Human Pose and Action Recognition (9 papers), Advanced Sensor and Energy Harvesting Materials (8 papers), Video Surveillance and Tracking Methods (8 papers), Hand Gesture Recognition Systems (4 papers), Innovative Energy Harvesting Technologies (3 papers), Anomaly Detection Techniques and Applications (3 papers) and Conducting polymers and applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (450 citations), Human-Computer Interaction (93 citations), Biomedical Engineering (391 citations), Media Technology (69 citations) and Polymers and Plastics (70 citations). Ju Han has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Bir Bhanu, Kai‐Kuang Ma, Yong Soo Cho, Hong Je Choi, Da Bin Kim, Seung Won Kim, Xiaoli Zhou, Yan Liu, Sung Hyun Park and Yicheng Liu. Their work appears in journals such as Advances in computer vision and pattern recognition, Nano Energy, Nature Communications, ACS Energy Letters and Materials Horizons.

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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