Lien-Hsin Hu

876 citations
14 papers · 267 · h-index 6

Impact in

Papers in

Lien-Hsin Hu

14 papers receiving 265 citations

Peers

Lien-Hsin Hu
Comparison fields: 5 of 40
  • Radiology, Nuclear Medicine and Imaging 227
  • Health Informatics 11
  • Biomedical Engineering 122
  • Cardiology and Cardiovascular Medicine 58
  • Health Information Management 7
Replace Aakash Shanbhag with:
Aakash Shanbhag United States
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Citations per field
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Citations per year

Countries citing papers authored by Lien-Hsin Hu

Since Specialization
Citations

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

Fields of papers citing papers by Lien-Hsin Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lien-Hsin Hu. 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 Lien-Hsin Hu. The network helps show where Lien-Hsin Hu may publish in the future.

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 201895
2 201953
3 201642
4 202036
5 201916
6
Diagnostic Accuracy of Deep Learning for Myocardial Perfusion Imaging in Men and Women with a High-Efficiency Parallel-Hole-Collimated Cadmium-Zinc-Telluride Camera: multicenter study
20208
7 20215
8 20234
9 20222
10 20242
11 20121
12 20231
13 20191
14
The Diagnostic Accuracy of Machine Learning From Stress Only fast-MPS
20181

About Lien-Hsin Hu

Lien-Hsin Hu is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 14 papers that have together received 267 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (10 papers), Advanced X-ray and CT Imaging (6 papers), Medical Imaging Techniques and Applications (4 papers), Advanced MRI Techniques and Applications (3 papers), Medical Imaging and Pathology Studies (2 papers), Sarcoidosis and Beryllium Toxicity Research (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Cardiovascular Function and Risk Factors (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (227 citations), Health Informatics (11 citations), Biomedical Engineering (122 citations), Cardiology and Cardiovascular Medicine (58 citations) and Health Information Management (7 citations). Lien-Hsin Hu has collaborated with scholars based in Taiwan, United States and Canada. Frequent co-authors include Daniel S. Berman, Piotr J. Slomka, Guido Germano, Robert J.H. Miller, Damini Dey, Marcelo F. Di Carli, Sharmila Dorbala, Terrence D. Ruddy, Albert J. Sinusas and Mathews B. Fish. Their work appears in journals such as Journal of Nuclear Medicine, Circulation Cardiovascular Imaging, European Heart Journal - Cardiovascular Imaging, Diabetes Care and European Journal of Nuclear Medicine and Molecular Imaging.

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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