Yin Chen

13 papers receiving 428 citations

Peers

Yin Chen
Comparison fields: 5 of 63
  • Computer Networks and Communications 297
  • Computer Vision and Pattern Recognition 113
  • Biomedical Engineering 168
  • Signal Processing 33
  • Safety, Risk, Reliability and Quality 21
Replace Jong-Hoon Youn with:
Jong-Hoon Youn United States
Youzhi Xu Sweden
Rony Darazi France
Shailaja Patil India
Saed Tarapiah Palestinian Territory
Imen Jemili Tunisia
Ningjiang Chen China
Diana Yacchirema Spain
Hervé Guyennet France
Paolo Corsini Italy
Yin Chen relative to Jong-Hoon Youn United States Jong-Hoon Youn's profile →
Citations per field
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Jong-Hoon Youn · 1×
Citations per year

Countries citing papers authored by Yin Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yin Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yin Chen. 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 Yin Chen. The network helps show where Yin Chen may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2010179
2 2008179
3 200824
4 201119
5 201717
6 20208
7
Demo Abstract: MEDiSN: Medical Emergency Detection in Sensor Networks
20087
8 20206
9 20145
10 20175
11 20192
12 20201
13 20201
14 20170
15 20210

About Yin Chen

Yin Chen is a scholar working on Safety, Risk, Reliability and Quality, Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition and Software, having authored 15 papers that have together received 453 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (3 papers), Safety Systems Engineering in Autonomy (3 papers), Software Reliability and Analysis Research (3 papers), Autonomous Vehicle Technology and Safety (2 papers), IoT and Edge/Fog Computing (2 papers), Energy Efficient Wireless Sensor Networks (2 papers), Traffic Prediction and Management Techniques (2 papers) and Scientific Computing and Data Management (2 papers). The work is most often cited by research in Computer Networks and Communications (297 citations), Computer Vision and Pattern Recognition (113 citations), Biomedical Engineering (168 citations), Signal Processing (33 citations) and Safety, Risk, Reliability and Quality (21 citations). Yin Chen has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Andreas Terzis, Tia Gao, JeongGil Ko, Leo Selavo, Gerald M. Masson, Jong Hyun Lim, Richard P. Dutton, James C. Jeng, Konrad Lorincz and Andrew A. R. Watt. Their work appears in journals such as Journal of Transportation Safety & Security, IEEE Pervasive Computing, ACM Transactions on Embedded Computing Systems, Lecture notes in computer science and KSCE Journal of Civil Engineering.

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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