Kin Sam Yen

471 total citations
62 papers, 339 citations indexed

About

Kin Sam Yen is a scholar working on Computer Vision and Pattern Recognition, Civil and Structural Engineering and Mechanical Engineering. According to data from OpenAlex, Kin Sam Yen has authored 62 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 16 papers in Civil and Structural Engineering and 11 papers in Mechanical Engineering. Recurrent topics in Kin Sam Yen's work include Optical measurement and interference techniques (12 papers), Advanced Fiber Optic Sensors (7 papers) and Infrastructure Maintenance and Monitoring (7 papers). Kin Sam Yen is often cited by papers focused on Optical measurement and interference techniques (12 papers), Advanced Fiber Optic Sensors (7 papers) and Infrastructure Maintenance and Monitoring (7 papers). Kin Sam Yen collaborates with scholars based in Malaysia, United States and Japan. Kin Sam Yen's co-authors include Mani Maran Ratnam, Ty A. Lasky, Bahram Ravani, Lai‐Hoong Cheng, Y. H. Yeo, Boon-Yaik Ooi, Hazizan Md Akil, Triet M. Bui, Soo Siang Teoh and Han-Shue Tan and has published in prestigious journals such as IEEE Access, European Journal of Cancer and IEEE Transactions on Robotics.

In The Last Decade

Kin Sam Yen

54 papers receiving 304 citations

Peers

Kin Sam Yen
Comparison fields: 5 of 94
  • Computer Vision and Pattern Recognition 94
  • Civil and Structural Engineering 75
  • Geology 69
  • Environmental Engineering 56
  • Electrical and Electronic Engineering 55
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Han Yu China
Yuhan Ji China
Andrzej Sioma Poland
Pedro Fernández Spain
Lushen Wu China
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Ashok Kumar Patil South Korea
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Xuhui Ye China
Daniel Bolya United States
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Citations per field, relative to Kin Sam Yen
Kin Sam Yen · 1×
Citations per year, relative to Kin Sam Yen
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Countries citing papers authored by Kin Sam Yen

Since Specialization
Citations

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

Fields of papers citing papers by Kin Sam Yen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kin Sam Yen. 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 Kin Sam Yen. The network helps show where Kin Sam Yen may publish in the future.

Co-authorship network of co-authors of Kin Sam Yen

This figure shows the co-authorship network connecting the top 25 collaborators of Kin Sam Yen. A scholar is included among the top collaborators of Kin Sam Yen 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 Kin Sam Yen. Kin Sam Yen 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
# Work Indexed citations
1 1
2 0
3 1
4 2
5 5
6 3
7 1
8 0
9 1
10 3
11 3
12 16
13 9
14 1
15
Advanced Highway Maintenance and Construction Technology Research Center
1
16
REVIEW OF MN/IRIS AND CALTRANS DISTRICT 10 TMC COMPATIBILITY AND FUNCTIONAL REQUIREMENTS FOR D10 IRIS DEMONSTRATION STUDY*
1
17
Development and Field-Testing of a GPS-Based Mountain Pass Road Opening Driver Assistance System
2
18
Application of High-Sensitivity GPS for a Highly-Integrated Automated Longitudinal Travel Behavior Diary
3
19
A Bridge-Height Sensing and Database Management System for Reliable and Efficient Oversize Permitting and Routing
1
20 6

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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