Jiann-Shu Lee

568 citations
35 papers · 385 indexed · h-index 10
Topics
Video Surveillance and Tracking Methods (5 papers)Face and Expression Recognition (5 papers)Image Retrieval and Classification Techniques (5 papers)
Partner nations
TaiwanVietnam

In The Last Decade

Jiann-Shu Lee

34 papers receiving 357 citations

Peers

Jiann-Shu Lee
Comparison fields: 5 of 84
  • Computer Vision and Pattern Recognition 278
  • Artificial Intelligence 49
  • Media Technology 49
  • Human-Computer Interaction 46
  • Biomedical Engineering 36
Replace Pratheepan Yogarajah with:
Pratheepan Yogarajah United Kingdom
Xiangsheng Huang China
Adilson Gonzaga Brazil
A.D. Andreeva Russia
Yinwei Zhan China
Vladimir Vezhnevets Tajikistan
Kazunori Kotani Japan
Xiaoli Dong China
Daniel Tretter United States
Dohyung Kim South Korea
Jiann-Shu Lee relative to Pratheepan Yogarajah United Kingdom Pratheepan Yogarajah's profile →
Citations per field
00.5×1.6×
Pratheepan Yogarajah · 1×
Citations per year

Countries citing papers authored by Jiann-Shu Lee

Since Specialization
Citations

This map shows the geographic impact of Jiann-Shu Lee'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 Jiann-Shu Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiann-Shu Lee more than expected).

Fields of papers citing papers by Jiann-Shu Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jiann-Shu Lee. 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 Jiann-Shu Lee. The network helps show where Jiann-Shu Lee may publish in the future.

Co-authorship network of co-authors of Jiann-Shu Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Jiann-Shu Lee. A scholar is included among the top collaborators of Jiann-Shu Lee 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 Jiann-Shu Lee. Jiann-Shu Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 3
3 1
4 26
5 30
6 5
7 6
8 1
9 5
10 13
11 2
12 34
13 3
14 2
15
AR Marker Capacity Increasing for Kindergarten English Learning
32
16 1
17 104
18 12
19 5
20 31

About Jiann-Shu Lee

Jiann-Shu Lee is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Media Technology, having authored 35 papers that have together received 385 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (5 papers), Face and Expression Recognition (5 papers) and Image Retrieval and Classification Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (278 citations), Human-Computer Interaction (46 citations) and Media Technology (49 citations). Jiann-Shu Lee has collaborated with scholars based in Taiwan and Vietnam. Frequent co-authors include Pau‐Choo Chung, Jing-Wein Wang, E-Liang Chen, Ngoc Tuyen Le, Yung‐Nien Sun, Chin‐Hsing Chen, Wen‐Yuan Chen, Wenkai Wu, Pau-Choo Chung and Chien‐Yu Chen. Their work appears in journals such as Sensors, Pattern Recognition and Information Sciences.

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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