Lee Su-Lin

1.8k citations
52 papers · 1.3k · h-index 17

Impact in

Papers in

Lee Su-Lin

52 papers receiving 1.2k citations

Peers

Lee Su-Lin
Comparison fields: 5 of 128
  • Health Informatics 44
  • Biomedical Engineering 612
  • Computer Vision and Pattern Recognition 221
  • Surgery 331
  • Condensed Matter Physics 82
Replace Xiuli Li with:
Xiuli Li China
Sarada Prasad Dakua Qatar
Cong Gao China
Rakesh Gupta India
Shidin Balakrishnan Qatar
Kotaro Tadano Japan
Alvin I. Chen United States
Bo Zhou China
Feng Ju China
Hai Yang China
Lee Su-Lin relative to Xiuli Li China Xiuli Li's profile →
Citations per field
00.5×3.4×
Xiuli Li · 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 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012331
2 200896
3 202174
4 202068
5 201866
6 202064
7 200944
8 201343
9 201436
10 201235
11 201726
12 201225
13 201323
14 200518
15 201818
16 201816
17 201416
18 200915
19 200915
20 201915

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 52 papers that have together received 1.3k indexed citations. Recurring topics across this work include Soft Robotics and Applications (10 papers), Antenna Design and Analysis (9 papers), Wireless Body Area Networks (9 papers), Surgical Simulation and Training (7 papers), Medical Image Segmentation Techniques (7 papers), Anatomy and Medical Technology (5 papers), Robotics and Sensor-Based Localization (5 papers) and Cardiac Arrhythmias and Treatments (4 papers). The work is most often cited by research in Health Informatics (44 citations), Biomedical Engineering (612 citations), Computer Vision and Pattern Recognition (221 citations), Surgery (331 citations) and Condensed Matter Physics (82 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, Ching‐Shih Chen, Samuel K. Kulp, Shuo Wei, Jian Yang, Stamatia Giannarou, Sabine Ernst and Xiao-Yun Zhou. Their work appears in journals such as IEEE Transactions on Medical Imaging, International Journal of Computer Assisted Radiology and Surgery, Medical Image Analysis, Lecture notes in computer science and IEEE Antennas and Wireless Propagation 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.

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