Tung-Hsin Wu

27 total papers · 753 total citations
22 papers, 544 citations indexed

About

Tung-Hsin Wu is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Biomedical Engineering. According to data from OpenAlex, Tung-Hsin Wu has authored 22 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Cardiology and Cardiovascular Medicine and 9 papers in Biomedical Engineering. Recurrent topics in Tung-Hsin Wu's work include Medical Imaging Techniques and Applications (10 papers), Advanced X-ray and CT Imaging (9 papers) and Atrial Fibrillation Management and Outcomes (6 papers). Tung-Hsin Wu is often cited by papers focused on Medical Imaging Techniques and Applications (10 papers), Advanced X-ray and CT Imaging (9 papers) and Atrial Fibrillation Management and Outcomes (6 papers). Tung-Hsin Wu collaborates with scholars based in Taiwan, Macao and United States. Tung-Hsin Wu's co-authors include Benjamin N. Chiang, S A Chen, Chengwei Yang, M.-S. Chang, Chern‐En Chiang, Hrayr S. Karagueuzian, P S Chen, Charles A. Athill, Young‐Hoon Kim and Takanori Ikeda and has published in prestigious journals such as Circulation, Journal of Clinical Investigation and European Heart Journal.

In The Last Decade

Tung-Hsin Wu

21 papers receiving 522 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tung-Hsin Wu 472 54 52 46 28 22 544
James J.C. Ong 560 1.2× 41 0.8× 40 0.8× 69 1.5× 11 0.4× 11 590
Steffen Schuler 362 0.8× 58 1.1× 37 0.7× 35 0.8× 79 2.8× 40 454
Anita C. Wylds 472 1.0× 21 0.4× 38 0.7× 78 1.7× 14 0.5× 11 504
Rheeda L. Ali 434 0.9× 75 1.4× 14 0.3× 29 0.6× 36 1.3× 21 482
Michael B. Sweeney 468 1.0× 38 0.7× 31 0.6× 56 1.2× 24 0.9× 11 531
J. A. CRONVICH 349 0.7× 82 1.5× 74 1.4× 18 0.4× 73 2.6× 31 468
Oscar H. Tovar 387 0.8× 22 0.4× 48 0.9× 58 1.3× 59 2.1× 13 506
Elyar Ghafoori 408 0.9× 72 1.3× 17 0.3× 28 0.6× 35 1.3× 19 467
G Altamura 372 0.8× 12 0.2× 49 0.9× 56 1.2× 65 2.3× 28 520
Mervin J. Goldman 394 0.8× 64 1.2× 19 0.4× 57 1.2× 16 0.6× 10 450

Countries citing papers authored by Tung-Hsin Wu

Since Specialization
Citations

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

Fields of papers citing papers by Tung-Hsin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tung-Hsin Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Tung-Hsin Wu. A scholar is included among the top collaborators of Tung-Hsin Wu 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 Tung-Hsin Wu. Tung-Hsin Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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