Yu-Lin Chou
Impact in
- Numerical Analysis top 5%
- Differential Equations and Numerical Methods
- Numerical methods for differential equations
- Modeling and Simulation top 10%
Papers in
-
- Image and Video Quality Assessment 2
-
- Quantum Dots Synthesis And Properties 1
- Co-authors
- Chia‐Hao Su (1 shared paper)Chen‐Sheng Yeh (1 shared paper)Yi‐Hsin Chien (1 shared paper)Cheng-Yu Tsai (2 shared papers)Tai‐Hsin Tsai (2 shared papers)Ann‐Shung Lieu (1 shared paper)Yu‐Ming Chang (1 shared paper)Joon‐Khim Loh (1 shared paper)
- Journals
- ACS Nano (1 paper)Japanese Journal of Applied Physics (1 paper)Operative Neurosurgery (1 paper)IEEE Transactions on Consumer Electronics (1 paper)BMC Infectious Diseases (1 paper)
- Partner nations
- Taiwan
In The Last Decade
Yu-Lin Chou
11 papers receiving 375 citations
Peers
Comparison fields: 5 of 79
- Numerical Analysis 86
- Modeling and Simulation 30
- Endocrinology 27
- Statistical and Nonlinear Physics 46
- Mathematical Physics 33
Countries citing papers authored by Yu-Lin Chou
This map shows the geographic impact of Yu-Lin Chou'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-Lin Chou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu-Lin Chou more than expected).
Fields of papers citing papers by Yu-Lin Chou
This network shows the impact of papers produced by Yu-Lin Chou. 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-Lin Chou. The network helps show where Yu-Lin Chou may publish in the future.
Co-authors
The 16 scholars most cited alongside Yu-Lin Chou, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 190 | |
| 2 | Applications of discrete functional analysis to the finite difference method | 1991 | 130 |
| 3 | 2010 | 41 | |
| 4 | 2021 | 7 | |
| 5 | 2012 | 4 | |
| 6 | 2011 | 3 | |
| 7 | 2017 | 3 | |
| 8 | 2013 | 2 | |
| 9 | 2004 | 2 | |
| 10 | 2009 | 1 | |
| 11 | 2021 | 1 | |
| 12 | 2020 | 0 |
About Yu-Lin Chou
Yu-Lin Chou is a scholar working on Computer Vision and Pattern Recognition, Materials Chemistry, Mathematical Physics, Signal Processing and Biomedical Engineering, having authored 12 papers that have together received 384 indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (2 papers), Image and Video Quality Assessment (2 papers), Spinal Dysraphism and Malformations (1 paper), Benford’s Law and Fraud Detection (1 paper), Force Microscopy Techniques and Applications (1 paper), Mathematical and Theoretical Analysis (1 paper), Quantum Dots Synthesis And Properties (1 paper) and Stochastic processes and statistical mechanics (1 paper). The work is most often cited by research in Numerical Analysis (86 citations), Modeling and Simulation (30 citations), Endocrinology (27 citations), Statistical and Nonlinear Physics (46 citations) and Mathematical Physics (33 citations). Yu-Lin Chou has collaborated with scholars based in Taiwan. Frequent co-authors include Chia‐Hao Su, Chen‐Sheng Yeh, Yi‐Hsin Chien, Cheng-Yu Tsai, Tai‐Hsin Tsai, Ann‐Shung Lieu, Yu‐Ming Chang, Joon‐Khim Loh, Huey-Jiun Ko and Shiuh‐Lin Hwang. Their work appears in journals such as ACS Nano, Japanese Journal of Applied Physics, Operative Neurosurgery, IEEE Transactions on Consumer Electronics and BMC Infectious Diseases.
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.