Andy Tsai

4.1k citations
68 papers · 2.8k indexed · 2 hit papers · h-index 19

Andy Tsai

62 papers receiving 2.7k citations

Hit Papers

A shape-based approach to the segmentation of medical ima...6032001202620092017200400600

Peers

Andy Tsai
Comparison fields: 5 of 152
  • Computer Vision and Pattern Recognition 1.7k
  • Health Informatics 45
  • Biophysics 118
  • Media Technology 177
  • Radiology, Nuclear Medicine and Imaging 452
Replace Vicente Grau with:
Vicente Grau United Kingdom
Amir A. Amini United States
Hien Van Nguyen United States
Jean-Louis Coatrieux France
S. Kevin Zhou United States
Lin Gu Japan
Zeyun Yu United States
Chenyang Xu China
Elsa D. Angelini France
Heinz Handels Germany
Andy Tsai relative to Vicente Grau United Kingdom Vicente Grau's profile →
Citations per field
00.5×1.5×1.8×
Vicente Grau · 1×
Citations per year

Countries citing papers authored by Andy Tsai

Since Specialization
Citations

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

Fields of papers citing papers by Andy Tsai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andy Tsai. 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 Andy Tsai. The network helps show where Andy Tsai may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20243
3 20240
4 20242
5 20231
6 202357
7 20231
8 20231
9 202211
10 20221
11 20213
12 20184
13 201521
14 201436
15 20124
16 20115
17
A shape-based approach to the segmentation of medical imagery using level setsbreakdown →
2003603
18 20039
19 200333
20 199928

About Andy Tsai

Andy Tsai is a scholar working on Health Informatics, Emergency Medicine, Modeling and Simulation, Pediatrics, Perinatology and Child Health and Computer Vision and Pattern Recognition, having authored 68 papers that have together received 2.8k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (13 papers), Child Abuse and Related Trauma (13 papers), Restraint-Related Deaths (9 papers), Autopsy Techniques and Outcomes (6 papers), Bone fractures and treatments (6 papers), Child Abuse and Trauma (4 papers), Hip disorders and treatments (4 papers) and Mathematical Biology Tumor Growth (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.7k citations), Health Informatics (45 citations), Biophysics (118 citations), Media Technology (177 citations) and Radiology, Nuclear Medicine and Imaging (452 citations). Andy Tsai has collaborated with scholars based in United States, Canada and Taiwan. Frequent co-authors include Alan S. Willsky, Anthony Yezzi, Haruo Saito, William M. Wells, Clare M. Tempany, Anfei Fan, David Tucker, W. Eric L. Grimson, Michel Streuli and N. Krueger. Their work appears in journals such as Medical Image Analysis, American Journal of Roentgenology, Pediatric Radiology, Radiology and Investigative Radiology.

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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