Lee Su-Lin

1.8k total citations
52 papers, 1.3k citations indexed

About

Lee Su-Lin is a scholar working on Biomedical Engineering, Aerospace Engineering and Surgery. According to data from OpenAlex, Lee Su-Lin has authored 52 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Biomedical Engineering, 14 papers in Aerospace Engineering and 13 papers in Surgery. Recurrent topics in Lee Su-Lin's work include Soft Robotics and Applications (10 papers), Wireless Body Area Networks (9 papers) and Antenna Design and Analysis (9 papers). Lee Su-Lin is often cited by papers focused on Soft Robotics and Applications (10 papers), Wireless Body Area Networks (9 papers) and Antenna Design and Analysis (9 papers). Lee Su-Lin collaborates with scholars based in United Kingdom, United States and Thailand. Lee Su-Lin's co-authors include Guang‐Zhong Yang, Valentina Vitiello, Thomas P. Cundy, Ching‐Shih Chen, Samuel K. Kulp, Jian Yang, Shuo Wei, Stamatia Giannarou, Sabine Ernst and Xiao-Yun Zhou and has published in prestigious journals such as European Heart Journal, International Journal of Pharmaceutics and IEEE Transactions on Medical Imaging.

In The Last Decade

Lee Su-Lin

52 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lee Su-Lin United Kingdom 17 612 331 221 131 115 52 1.3k
Cong Gao China 22 305 0.5× 343 1.0× 105 0.5× 218 1.7× 159 1.4× 70 1.6k
Sen Li China 22 251 0.4× 105 0.3× 335 1.5× 176 1.3× 52 0.5× 126 1.5k
Sarada Prasad Dakua Qatar 30 433 0.7× 149 0.5× 445 2.0× 178 1.4× 118 1.0× 73 1.9k
Shaohua Guo China 21 320 0.5× 88 0.3× 175 0.8× 262 2.0× 41 0.4× 93 1.5k
Feng Ju China 24 657 1.1× 203 0.6× 64 0.3× 286 2.2× 51 0.4× 111 1.8k
Sanjay Pant United Kingdom 24 532 0.9× 311 0.9× 46 0.2× 33 0.3× 274 2.4× 66 3.6k
Nan Nan China 20 127 0.2× 180 0.5× 52 0.2× 340 2.6× 101 0.9× 84 1.2k
Yongfu Li China 23 657 1.1× 59 0.2× 89 0.4× 79 0.6× 252 2.2× 210 1.8k
Rakesh Gupta India 25 194 0.3× 345 1.0× 152 0.7× 547 4.2× 40 0.3× 76 1.9k
Kotaro Tadano Japan 22 709 1.2× 305 0.9× 75 0.3× 214 1.6× 18 0.2× 99 1.4k

Countries citing papers authored by Lee Su-Lin

Since Specialization
Citations

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

Fields of papers citing papers by Lee Su-Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lee Su-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 Lee Su-Lin. The network helps show where Lee Su-Lin may publish in the future.

Co-authorship network of co-authors of Lee Su-Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Lee Su-Lin. A scholar is included among the top collaborators of Lee Su-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 Lee Su-Lin. Lee Su-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.
Gupta, Anand, António Pedro Costa, Xiaoming Xu, et al.. (2020). Formulation and characterization of curcumin loaded polymeric micelles produced via continuous processing. International Journal of Pharmaceutics. 583. 119340–119340. 68 indexed citations
2.
Constantinescu, Mihaela, et al.. (2018). Probabilistic guidance for catheter tip motion in cardiac ablation procedures. Medical Image Analysis. 47. 1–14. 4 indexed citations
3.
Zhou, Xiao-Yun, Mali Shen, Celia Riga, Guang‐Zhong Yang, & Lee Su-Lin. (2017). Focal FCN: Towards Biomedical Small Object Segmentation with Limited Training Data. arXiv (Cornell University). 1 indexed citations
4.
Zhou, Xiao-Yun, Mali Shen, Celia V. Riga, Guang‐Zhong Yang, & Lee Su-Lin. (2017). Focal FCN: Towards Small Object Segmentation with Limited Training Data.. arXiv (Cornell University). 11 indexed citations
5.
Zhou, Xiao-Yun, Guang‐Zhong Yang, & Lee Su-Lin. (2017). A real-time and registration-free framework for dynamic shape instantiation. Medical Image Analysis. 44. 86–97. 12 indexed citations
6.
Balocco, Simone, María A. Zuluaga, Guillaume Zahnd, Lee Su-Lin, & Stefanie Demirci. (2016). Computing and Visualization for Intravascular Imaging and Computer-Assisted Stenting. CERN Document Server (European Organization for Nuclear Research). 12 indexed citations
7.
Torii, Ryo, Michael Ibrahim, Tarun Mittal, Lee Su-Lin, & Magdi H. Yacoub. (2014). The wide spectrum of aortic root dilatation after the Ross operation. Global Cardiology Science and Practice. 2014(1). 9–9. 10 indexed citations
8.
Rafii-Tari, Hedyeh, Jindong Liu, Lee Su-Lin, Colin Bicknell, & Guang‐Zhong Yang. (2013). Learning-Based Modeling of Endovascular Navigation for Collaborative Robotic Catheterization. Lecture notes in computer science. 16(Pt 2). 369–377. 43 indexed citations
9.
Su-Lin, Lee, Ka‐Wai Kwok, Lele Wang, et al.. (2013). Motion-adapted catheter navigation with real-time instantiation and improved visualisation. Journal of Robotic Surgery. 7(3). 251–260. 5 indexed citations
10.
Su-Lin, Lee, et al.. (2011). A whole body statistical shape model for radio frequency simulation. PubMed. 2011. 7143–7146. 10 indexed citations
11.
Hao, Yang, et al.. (2010). Subject-specific analysis of the on-body radio propagation channel adopting a parallel FDTD code. European Conference on Antennas and Propagation. 1–3. 6 indexed citations
12.
Sani, Andrea, Yang Hao, Yan Zhao, Lee Su-Lin, & Guang‐Zhong Yang. (2010). A subject-specific numerical study in UWB body-centric wireless communications. European Conference on Antennas and Propagation. 1–3. 3 indexed citations
13.
Su-Lin, Lee, Mirna Lerotic, Valentina Vitiello, et al.. (2009). From medical images to minimally invasive intervention: Computer assistance for robotic surgery. Computerized Medical Imaging and Graphics. 34(1). 33–45. 44 indexed citations
14.
Su-Lin, Lee, Emile Tan, Vikram Khullar, et al.. (2009). Physical-Based Statistical Shape Modeling of the Levator Ani. IEEE Transactions on Medical Imaging. 28(6). 926–936. 15 indexed citations
15.
Su-Lin, Lee, et al.. (2008). Contractile Analysis with Kriging Based on MR Myocardial Velocity Imaging. Lecture notes in computer science. 11(Pt 1). 892–899. 3 indexed citations
16.
Wei, Shuo, Jian Yang, Lee Su-Lin, Samuel K. Kulp, & Ching‐Shih Chen. (2008). PPARγ-independent antitumor effects of thiazolidinediones. Cancer Letters. 276(2). 119–124. 96 indexed citations
17.
Su-Lin, Lee, et al.. (2008). Bayesian Motion Recovery Framework for Myocardial Phase-Contrast Velocity MRI. Lecture notes in computer science. 11(Pt 2). 79–86. 3 indexed citations
18.
Su-Lin, Lee, et al.. (2007). Predictive K-PLSR Myocardial Contractility Modeling with Phase Contrast MR Velocity Mapping. Lecture notes in computer science. 10(Pt 2). 866–873. 4 indexed citations
19.
Su-Lin, Lee, et al.. (2005). Assessment of Shape Variation of the Levator Ani With Optimal Scan Planning and Statistical Shape Modeling. Journal of Computer Assisted Tomography. 29(2). 154–162. 10 indexed citations
20.
Su-Lin, Lee, Ara Darzi, & Guang‐Zhong Yang. (2005). Subject Specific Finite Element Modelling of the Levator Ani. Lecture notes in computer science. 8(Pt 1). 360–367. 18 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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