Lee Su-Lin

59 papers receiving 1.4k citations

Lee Su-Lin's Hit Papers

Emerging Robotic Platforms for Minimally Invasive Surgery 2012 · 359 citations
3590+4+9Years since publication100200300

Peers

Lee Su-Lin
Comparison fields: 5 of 128
  • Health Informatics 46
  • Biomedical Engineering 639
  • Computer Vision and Pattern Recognition 237
  • Surgery 316
  • Condensed Matter Physics 87
Replace Cong Gao with:
Cong Gao China
Xiuli Li China
Sarada Prasad Dakua Qatar
Yongde Zhang China
Max L. Balter United States
Pras Pathmanathan United States
Chi Liu China
Rakesh Gupta India
Alvin I. Chen United States
Shidin Balakrishnan Qatar
Lee Su-Lin relative to Cong Gao China Cong Gao's profile →
Citations per field
00.5×10×17.4×
Cong Gao · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Emerging Robotic Platforms for Minimally Invasive Surgery
Hit paper breakdown →
2012359
2 200899
3 202186
4 202076
5 202075
6 201870
7 200948
8 201343
9 201437
10 201236
11 201726
12 201225
13 201325
14 200524
15 201819
16 201817
17 200916
18 201016
19 201616
20 201416

About Lee Su-Lin

Lee Su-Lin is a scholar working on Biomedical Engineering, Aerospace Engineering, Surgery, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 60 papers that have together received 1.4k indexed citations. Recurring topics across this work include Soft Robotics and Applications (11 papers), Wireless Body Area Networks (9 papers), Antenna Design and Analysis (9 papers), Medical Image Segmentation Techniques (8 papers), Surgical Simulation and Training (7 papers), Advanced MRI Techniques and Applications (6 papers), Cardiac Arrhythmias and Treatments (5 papers) and Cerebrovascular and Carotid Artery Diseases (5 papers). The work is most often cited by research in Health Informatics (46 citations), Biomedical Engineering (639 citations), Computer Vision and Pattern Recognition (237 citations), Surgery (316 citations) and Condensed Matter Physics (87 citations). Lee Su-Lin has collaborated with scholars based in United Kingdom, United States and Thailand. Frequent co-authors include Guang‐Zhong Yang, Valentina Vitiello, Thomas P. Cundy, Samuel K. Kulp, Ching‐Shih Chen, Stamatia Giannarou, Sabine Ernst, Shuo Wei, Jian Yang and Xiao-Yun Zhou. Their work appears in journals such as IEEE Transactions on Medical Imaging, Lecture notes in computer science, International Journal of Computer Assisted Radiology and Surgery, Medical Image Analysis and IEEE Robotics and Automation Letters.

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.

Explore authors with similar magnitude of impact