Chung-Hsien Tsai

973 citations
33 papers · 591 indexed · h-index 11

Chung-Hsien Tsai

30 papers receiving 575 citations

Peers

Chung-Hsien Tsai
Comparison fields: 5 of 68
  • Polymers and Plastics 108
  • Electrical and Electronic Engineering 406
  • Computer Vision and Pattern Recognition 88
  • Human-Computer Interaction 21
  • Materials Chemistry 171
Replace Ziyun Li with:
Ziyun Li United States
Yong Cao China
Di Fu China
Amelia Wong Azman Malaysia
Jongbae Kim South Korea
Jaemin Park South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Chung-Hsien Tsai

Since Specialization
Citations

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

Fields of papers citing papers by Chung-Hsien Tsai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chung-Hsien Tsai. 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 Chung-Hsien Tsai. The network helps show where Chung-Hsien Tsai may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Chung-Hsien Tsai, 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 Chung-Hsien Tsai Line = papers co-authored together Chung-Hsien Tsai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20248
2 202214
3 202018
4 20202
5 20208
6 201935
7
PGPS: A Context-Aware Technique to Perceive Carrier Behavior from GPS Data
20181
8
Object Detection and Tracking in Intelligent Video Surveillance Systems
20181
9 20175
10 20168
11 20160
12 20159
13 201210
14 20122
15 20101
16 200819
17
A new observation of strain-induced slow traps in advanced CMOS technology with process-induced strain using random telegraph noise measurement
20063
18 2005279
19 20040
20 19991

About Chung-Hsien Tsai

Chung-Hsien Tsai is a scholar working on Computer Vision and Pattern Recognition, Hardware and Architecture and Aerospace Engineering, having authored 33 papers that have together received 591 indexed citations. Recurring topics across this work include Semiconductor materials and devices (5 papers), Video Surveillance and Tracking Methods (4 papers), 3D IC and TSV technologies (4 papers), Robotics and Sensor-Based Localization (4 papers), Advancements in Semiconductor Devices and Circuit Design (3 papers), Context-Aware Activity Recognition Systems (3 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Energy Harvesting in Wireless Networks (2 papers). The work is most often cited by research in Polymers and Plastics (108 citations), Electrical and Electronic Engineering (406 citations) and Computer Vision and Pattern Recognition (88 citations). Chung-Hsien Tsai has collaborated with scholars based in Taiwan, United States and Indonesia. Frequent co-authors include Chun‐Hsing Liao, Jiung-Yao Huang, Yu‐Ching Lin, Douglas Yu, W.C. Chiou, C. T. Wang, S. Y. Hou, K. C. Ting, E.B. Liao and Wen‐Pin Chen. Their work appears in journals such as Communications of the ACM, ISPRS Journal of Photogrammetry and Remote Sensing, Computer Standards & Interfaces, Information Fusion 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.

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