Yi‐Ru Lin

499 citations
22 papers · 406 · h-index 10

Impact in

Papers in

Yi‐Ru Lin

20 papers receiving 392 citations

Peers

Yi‐Ru Lin
Comparison fields: 5 of 64
  • Radiology, Nuclear Medicine and Imaging 197
  • Media Technology 69
  • Computer Vision and Pattern Recognition 101
  • Biophysics 26
  • Hepatology 31
Replace S. A. Suddarth with:
S. A. Suddarth United States
Sen Jia China
Lior Weizman Israel
W. Scott Hoge United States
Haçène Serrai Canada
Shun Zhu China
B. Haywood Australia
Frank Ong United States
Michał Marcinkiewicz France
Jacob Beutel United States
Yi‐Ru Lin relative to S. A. Suddarth United States S. A. Suddarth's profile →
Citations per field
00.5×4.6×
S. A. Suddarth · 1×
Citations per year

Countries citing papers authored by Yi‐Ru Lin

Since Specialization
Citations

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

Fields of papers citing papers by Yi‐Ru Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yi‐Ru 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 Yi‐Ru Lin. The network helps show where Yi‐Ru Lin may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008122
2 201857
3 200853
4 200733
5 201927
6 200419
7 201918
8 201415
9 201610
10 20139
11 20128
12 20128
13 20187
14 20056
15 20066
16 20112
17 20232
18 20142
19 20101
20 20141

About Yi‐Ru Lin

Yi‐Ru Lin is a scholar working on Radiology, Nuclear Medicine and Imaging, Atomic and Molecular Physics, and Optics, Epidemiology, Spectroscopy and Molecular Biology, having authored 22 papers that have together received 406 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (15 papers), Atomic and Subatomic Physics Research (6 papers), Advanced Neuroimaging Techniques and Applications (4 papers), Advanced NMR Techniques and Applications (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Medical Imaging Techniques and Applications (3 papers), Cardiac Imaging and Diagnostics (3 papers) and Ultrasound Imaging and Elastography (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (197 citations), Media Technology (69 citations), Computer Vision and Pattern Recognition (101 citations), Biophysics (26 citations) and Hepatology (31 citations). Yi‐Ru Lin has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Kuo‐Liang Chung, Yong-Huai Huang, Shang‐Yueh Tsai, Hsiao‐Wen Chung, Fa‐Hsuan Lin, Jeng‐Hwei Tseng, Ricardo Otazo, Dar‐In Tai, Po‐Hsiang Tsui and Stefan Posse. Their work appears in journals such as Magnetic Resonance in Medicine, Medical Physics, Journal of Neuroimaging, Journal of Magnetic Resonance Imaging and Ultrasound in Medicine & Biology.

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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