Yu‐Chen Lin
- Control and Systems Engineering top 5%
- Electrical and Electronic Engineering
- Automotive Engineering top 5%
- Mechanical Engineering
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Chun‐Liang LinJi‐Chang LoTsung-Chih LinZhenbin DuChe-Tsung LinWenhui ChenChih-Chieh YangRen‐Jang Wu
- Topics
- Autonomous Vehicle Technology and Safety (18 papers)Video Surveillance and Tracking Methods (13 papers)Vehicle Dynamics and Control Systems (8 papers)
- Cited by
- Automotive EngineeringControl and Systems EngineeringComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaNeuroImageAdvanced Energy Materials
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Yu‐Chen Lin
95 papers receiving 894 citations
Peers
Comparison fields: 5 of 122
- Control and Systems Engineering 207
- Electrical and Electronic Engineering 197
- Automotive Engineering 167
- Mechanical Engineering 148
- Computer Vision and Pattern Recognition 140
Countries citing papers authored by Yu‐Chen Lin
This map shows the geographic impact of Yu‐Chen Lin'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 Yu‐Chen Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu‐Chen Lin more than expected).
Fields of papers citing papers by Yu‐Chen Lin
This network shows the impact of papers produced by Yu‐Chen Lin. 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 Yu‐Chen Lin. The network helps show where Yu‐Chen Lin may publish in the future.
Co-authorship network of co-authors of Yu‐Chen Lin
This figure shows the co-authorship network connecting the top 25 collaborators of Yu‐Chen Lin. A scholar is included among the top collaborators of Yu‐Chen Lin 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 Yu‐Chen Lin. Yu‐Chen Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 7 | |
| 7 | 0 | |
| 8 | 6 | |
| 9 | 13 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 4 | |
| 13 | 1 | |
| 14 | 16 | |
| 15 | 1 | |
| 16 | 14 | |
| 17 | 4 | |
| 18 | Auto Car Sales Prediction: A Statistical Study Using Functional Data Analysis and Time Series. | 0 |
| 19 | 26 | |
| 20 | A real-time rear obstacle detection system based on a fish-eye camera | 4 |
About Yu‐Chen Lin
Yu‐Chen Lin is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Industrial and Manufacturing Engineering, having authored 106 papers that have together received 915 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (18 papers), Video Surveillance and Tracking Methods (13 papers) and Vehicle Dynamics and Control Systems (8 papers). The work is most often cited by research in Automotive Engineering (167 citations), Control and Systems Engineering (207 citations) and Computer Vision and Pattern Recognition (140 citations). Yu‐Chen Lin has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Chun‐Liang Lin, Ji‐Chang Lo, Tsung-Chih Lin, Zhenbin Du, Che-Tsung Lin, Wenhui Chen, Chih-Chieh Yang, Ren‐Jang Wu, Zhen Zhu and Hsiao‐Chien Chen. Their work appears in journals such as SHILAP Revista de lepidopterología, NeuroImage and Advanced Energy Materials.
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.