Yung‐Ya Lin

787 total citations
29 papers, 619 citations indexed

About

Yung‐Ya Lin is a scholar working on Radiology, Nuclear Medicine and Imaging, Spectroscopy and Nuclear and High Energy Physics. According to data from OpenAlex, Yung‐Ya Lin has authored 29 papers receiving a total of 619 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Spectroscopy and 14 papers in Nuclear and High Energy Physics. Recurrent topics in Yung‐Ya Lin's work include NMR spectroscopy and applications (14 papers), Advanced NMR Techniques and Applications (13 papers) and Advanced MRI Techniques and Applications (12 papers). Yung‐Ya Lin is often cited by papers focused on NMR spectroscopy and applications (14 papers), Advanced NMR Techniques and Applications (13 papers) and Advanced MRI Techniques and Applications (12 papers). Yung‐Ya Lin collaborates with scholars based in United States, Taiwan and China. Yung‐Ya Lin's co-authors include Chao‐Hsiung Hsu, Warren S. Warren, Natalia Lisitza, Lian‐Pin Hwang, Sangdoo Ahn, Alexander Pines, Paul Hodgkinson, Matthias Ernst, Susie Y. Huang and Zhao Li and has published in prestigious journals such as Science, The Journal of Chemical Physics and Biomaterials.

In The Last Decade

Yung‐Ya Lin

28 papers receiving 612 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yung‐Ya Lin United States 12 201 198 193 174 160 29 619
Francis Moiny Belgium 9 165 0.8× 110 0.6× 304 1.6× 259 1.5× 195 1.2× 18 747
Alessandra Flori Italy 13 56 0.3× 208 1.1× 178 0.9× 124 0.7× 67 0.4× 50 481
Pavel Řehák United States 13 391 1.9× 57 0.3× 144 0.7× 115 0.7× 249 1.6× 21 1.2k
Ravinath Kausik United States 17 465 2.3× 215 1.1× 79 0.4× 59 0.3× 44 0.3× 41 917
Mads Sloth Vinding Denmark 12 55 0.3× 170 0.9× 139 0.7× 90 0.5× 94 0.6× 21 444
Joseph D. Kalen United States 16 92 0.5× 53 0.3× 169 0.9× 324 1.9× 87 0.5× 43 1.0k
Lionel Broche United Kingdom 17 175 0.9× 208 1.1× 283 1.5× 244 1.4× 12 0.1× 37 692
Franz Schilling Germany 17 105 0.5× 421 2.1× 334 1.7× 80 0.5× 28 0.2× 59 798
Ning Ren China 18 38 0.2× 97 0.5× 345 1.8× 305 1.8× 66 0.4× 53 1.0k
Gigi Galiana United States 14 151 0.8× 204 1.0× 430 2.2× 120 0.7× 57 0.4× 44 581

Countries citing papers authored by Yung‐Ya Lin

Since Specialization
Citations

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

Fields of papers citing papers by Yung‐Ya Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yung‐Ya Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Yung‐Ya Lin. A scholar is included among the top collaborators of Yung‐Ya 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 Yung‐Ya Lin. Yung‐Ya Lin 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
1.
Cheng, Chi‐An, et al.. (2019). Magnetic Heating Stimulated Cargo Release with Dose Control using Multifunctional MR and Thermosensitive Liposome. Nanotheranostics. 3(2). 166–178. 31 indexed citations
2.
Li, Zhao, Chao‐Hsiung Hsu, Lian‐Pin Hwang, et al.. (2018). Dendrimer- and copolymer-based nanoparticles for magnetic resonance cancer theranostics. Theranostics. 8(22). 6322–6349. 73 indexed citations
3.
Lin, Fang-Chu, Chao‐Hsiung Hsu, & Yung‐Ya Lin. (2018). Nano-therapeutic cancer immunotherapy using hyperthermia-induced heat shock proteins: insights from mathematical modeling. International Journal of Nanomedicine. Volume 13. 3529–3539. 29 indexed citations
4.
Wang, Chencai, Chao‐Hsiung Hsu, Zhao Li, et al.. (2017). Effective heating of magnetic nanoparticle aggregates for in vivo nano-theranostic hyperthermia. International Journal of Nanomedicine. Volume 12. 6273–6287. 38 indexed citations
5.
Zhao, Li, et al.. (2015). Sensitive imaging of magnetic nanoparticles for cancer detection by active feedback MR. Magnetic Resonance in Medicine. 74(1). 2 indexed citations
6.
Yao, Jingwen, Chao‐Hsiung Hsu, Zhao Li, et al.. (2015). Magnetic Resonance Nano-Theranostics for Glioblastoma Multiforme. Current Pharmaceutical Design. 21(36). 5256–5266. 16 indexed citations
7.
Zhao, Li, et al.. (2015). Sensitive imaging of magnetic nanoparticles for cancer detection by active feedback MR. Magnetic Resonance in Medicine. 74(1). 33–41. 5 indexed citations
8.
Ho, Lin‐Chen, Chao‐Hsiung Hsu, Chung‐Mao Ou, et al.. (2014). Unibody core–shell smart polymer as a theranostic nanoparticle for drug delivery and MR imaging. Biomaterials. 37. 436–446. 25 indexed citations
9.
Chen, Kuan‐Ju, Hao Wang, Chao‐Hsiung Hsu, et al.. (2010). A small MRI contrast agent library of gadolinium(III)-encapsulated supramolecular nanoparticles for improved relaxivity and sensitivity. Biomaterials. 32(8). 2160–2165. 77 indexed citations
10.
Huang, Susie Y., et al.. (2009). Sensitivity of feedback‐enhanced MRI contrast to macroscopic and microscopic field variations. Magnetic Resonance in Medicine. 61(4). 925–936. 3 indexed citations
11.
Huang, Susie Y., et al.. (2007). Visualizing feedback‐enhanced contrast in magnetic resonance imaging. Concepts in Magnetic Resonance Part A. 30A(6). 378–393. 3 indexed citations
12.
Gu, Zhonghua, Jingchun Cheng, Gang Cheng, et al.. (2007). Experimental study of ternary Nd–Pt–Fe phase equilibria at 500°C. Materials Science and Technology. 23(12). 1492–1496. 1 indexed citations
13.
Huang, Susie Y., et al.. (2006). The transient dynamics leading to spin turbulence in high-field solution magnetic resonance: A numerical study. The Journal of Chemical Physics. 124(15). 154501–154501. 10 indexed citations
14.
Huang, Susie Y., Gary W. Mathern, Dennis J. Chute, et al.. (2006). Improving MRI differentiation of gray and white matter in epileptogenic lesions based on nonlinear feedback. Magnetic Resonance in Medicine. 56(4). 776–786. 16 indexed citations
15.
Huang, Susie Y., et al.. (2006). Designing feedback-based contrast enhancement for in vivo imaging. Magnetic Resonance Materials in Physics Biology and Medicine. 19(6). 333–346. 5 indexed citations
16.
Huang, Susie Y., et al.. (2006). Understanding spin turbulence in solution magnetic resonance through phase space dynamics and instability. Concepts in Magnetic Resonance Part A. 28A(6). 410–421. 8 indexed citations
17.
Huang, Susie Y., et al.. (2006). Contrast Enhancement by Feedback Fields in Magnetic Resonance Imaging. The Journal of Physical Chemistry B. 110(44). 22071–22078. 10 indexed citations
18.
Huang, Susie Y., et al.. (2006). Tracking three-dimensional magnetization trajectories by the radiation damping feedback field for differential spin control. Chemical Physics Letters. 427(4-6). 426–431. 1 indexed citations
19.
Lin, Yung‐Ya, Paul Hodgkinson, Matthias Ernst, & Alexander Pines. (1997). A Novel Detection–Estimation Scheme for Noisy NMR Signals: Applications to Delayed Acquisition Data. Journal of Magnetic Resonance. 128(1). 30–41. 90 indexed citations
20.
Lin, Yung‐Ya & Lian‐Pin Hwang. (1992). Efficient computation of the matrix exponential using Padé approximation. Computers & Chemistry. 16(4). 285–293. 3 indexed citations

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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