Yi Gang

733 citations
16 papers · 529 · h-index 10

Impact in

Papers in

    • Cardiac electrophysiology and arrhythmias 11
    • ECG Monitoring and Analysis 6
    • Heart Rate Variability and Autonomic Control 4
    • Atrial Fibrillation Management and Outcomes 3
    • Cardiac Arrhythmias and Treatments 2
    • Cardiac pacing and defibrillation studies 2
    • Non-Invasive Vital Sign Monitoring 2

Yi Gang

16 papers receiving 504 citations

Peers

Yi Gang
Comparison fields: 5 of 77
  • Cardiology and Cardiovascular Medicine 488
  • Cognitive Neuroscience 53
  • Biomedical Engineering 84
  • Behavioral Neuroscience 5
  • Complementary and alternative medicine 11
Replace Peter Smetana with:
Peter Smetana Austria
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M. V. Hojgaard Denmark
Aino-Maija Still Finland
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Joel Xue United States
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Hanqing Cao United States
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Yi Gang relative to Peter Smetana Austria Peter Smetana's profile →
Citations per field
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Citations per year

Countries citing papers authored by Yi Gang

Since Specialization
Citations

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

Fields of papers citing papers by Yi Gang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2000115
2 200080
3 200668
4 200459
5 200252
6 200329
7 199628
8 200228
9
Heart rate variability analysis in general medicine.
200327
10 200423
11 20158
12 20235
13 20093
14 20182
15 19951
16 20021

About Yi Gang

Yi Gang is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering, Surgery, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 16 papers that have together received 529 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (11 papers), ECG Monitoring and Analysis (6 papers), Heart Rate Variability and Autonomic Control (4 papers), Atrial Fibrillation Management and Outcomes (3 papers), Cardiac Arrhythmias and Treatments (2 papers), Non-Invasive Vital Sign Monitoring (2 papers), Cardiac pacing and defibrillation studies (2 papers) and Phonocardiography and Auscultation Techniques (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (488 citations), Cognitive Neuroscience (53 citations), Biomedical Engineering (84 citations), Behavioral Neuroscience (5 citations) and Complementary and alternative medicine (11 citations). Yi Gang has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Marek Malík, Katerina Hnatkova, Velislav N. Batchvarov, Burak Acar, A. John Camm, Marek Malik, Yee Guan Yap, A. John Camm, Marek Malik and Manuel Fernández-Delgado. Their work appears in journals such as Pacing and Clinical Electrophysiology, Journal of the American College of Cardiology, Journal of Cardiovascular Electrophysiology, IEEE Transactions on Biomedical Engineering and Journal of Interventional Cardiac Electrophysiology.

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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