Michael Tsang

1.8k total citations
65 papers, 1.1k citations indexed

About

Michael Tsang is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Michael Tsang has authored 65 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Cardiology and Cardiovascular Medicine, 15 papers in Radiology, Nuclear Medicine and Imaging and 13 papers in Surgery. Recurrent topics in Michael Tsang's work include Atrial Fibrillation Management and Outcomes (15 papers), Cardiac Imaging and Diagnostics (13 papers) and Cardiovascular Function and Risk Factors (12 papers). Michael Tsang is often cited by papers focused on Atrial Fibrillation Management and Outcomes (15 papers), Cardiac Imaging and Diagnostics (13 papers) and Cardiovascular Function and Risk Factors (12 papers). Michael Tsang collaborates with scholars based in Canada, United States and Australia. Michael Tsang's co-authors include Jacqueline Saw, Savvas Nicolaou, Yan Liu, Teresa S.M. Tsang, Ryan Spencer, Peter Fahmy, Azam Khan, John Jue, Bill Buxton and George Fitzmaurice and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Michael Tsang

62 papers receiving 1.1k citations

Peers

Michael Tsang
Comparison fields: 5 of 121
  • Cardiology and Cardiovascular Medicine 578
  • Radiology, Nuclear Medicine and Imaging 276
  • Computer Vision and Pattern Recognition 166
  • Human-Computer Interaction 105
  • Surgery 92
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Citations per field, relative to Michael Tsang
Michael Tsang · 1×
Citations per year, relative to Michael Tsang
Michael Tsang · 1×

Countries citing papers authored by Michael Tsang

Since Specialization
Citations

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

Fields of papers citing papers by Michael Tsang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Tsang

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 3
3 3
4 1
5 17
6 2
7 1
8
How does This Interaction Affect Me? Interpretable Attribution for Feature Interactions
2
9 2
10 9
11 18
12 14
13 3
14
Neural Interaction Transparency (NIT): Disentangling Learned Interactions for Improved Interpretability
15
15 19
16 25
17 58
18 1
19 8
20 7

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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