Ru‐San Tan

23.7k citations
400 papers · 13.5k indexed · 9 hit papers · h-index 56

Impact in

Papers in

Ru‐San Tan

368 papers receiving 13.1k citations

Hit Papers

Explainable detection of myocardial infarction using deep learning models with Grad-CAM technique on ECG signals 2022 · 126 citations
1262017202620202023250500750

Peers

Ru‐San Tan
Comparison fields: 5 of 202
  • Cardiology and Cardiovascular Medicine 8.3k
  • Cognitive Neuroscience 3.6k
  • Health Information Management 784
  • Health Informatics 174
  • Radiology, Nuclear Medicine and Imaging 2.4k
Replace Jasjit S. Suri with:
Jasjit S. Suri United States
Dimitrios I. Fotiadis Greece
Gari D. Clifford United States
Guang Yang United Kingdom
E. Y. K. Ng Singapore
Edward J. Ciaccio United States
Jen Hong Tan Singapore
Filippo Molinari Italy
Yuki Hagiwara Singapore
Luca Saba Italy
Ru‐San Tan relative to Jasjit S. Suri United States Jasjit S. Suri's profile →
Citations per field
00.5×1.5×1.8×
Jasjit S. Suri · 1×
Citations per year

Countries citing papers authored by Ru‐San Tan

Since Specialization
Citations

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

Fields of papers citing papers by Ru‐San Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ru‐San Tan. 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 Ru‐San Tan. The network helps show where Ru‐San Tan may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20241
4 20242
5 20240
6 20243
7 20244
8 20243
9 202310
10 20234
11 20231
12 20233
13 202011
14 201951
15 201937
16 201965
17
Prevalence and correlates of coronary microvascular dysfunction in heart failure with preserved ejection fraction: PROMIS-HFpEF
Hit paper breakdown →
2018423
18 201519
19 20071
20 200621

About Ru‐San Tan

Ru‐San Tan is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Health Information Management and Pulmonary and Respiratory Medicine, having authored 400 papers that have together received 13.5k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (106 papers), Cardiac Imaging and Diagnostics (81 papers), ECG Monitoring and Analysis (68 papers), EEG and Brain-Computer Interfaces (51 papers), Cardiac Valve Diseases and Treatments (44 papers), Advanced MRI Techniques and Applications (42 papers), Cardiac electrophysiology and arrhythmias (25 papers) and Phonocardiography and Auscultation Techniques (24 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (8.3k citations), Cognitive Neuroscience (3.6k citations), Health Information Management (784 citations), Health Informatics (174 citations) and Radiology, Nuclear Medicine and Imaging (2.4k citations). Ru‐San Tan has collaborated with scholars based in Singapore, United States and Australia. Frequent co-authors include U. Rajendra Acharya, Shu Lih Oh, Özal Yıldırım, Jen Hong Tan, Yuki Hagiwara, E. Y. K. Ng, Muhammad Adam, Liang Zhong, Paweł Pławiak and Edward J. Ciaccio. Their work appears in journals such as Computers in Biology and Medicine, Computer Methods and Programs in Biomedicine, Journal of Cardiovascular Magnetic Resonance, International Journal of Cardiology and Scientific Reports.

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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