Papers
1
Total Citations
11
H-Index
1
About
Hai Deng is a researcher whose work sits at the intersection of artificial intelligence, bibliometrics, and cardiovascular medicine. His most cited study, "Research output of artificial intelligence in arrhythmia from 2004 to 2021: a bibliometric analysis" (2022, 11 citations), provides a comprehensive overview of how AI—particularly machine learning and artificial neural networks—has transformed arrhythmia research over nearly two decades. By systematically mapping publication trends, key contributors, and emerging topics, Deng’s work offers a valuable roadmap for researchers navigating this fast-evolving field. His analysis highlights the growing synergy between portable electrocardiogram devices and AI algorithms, underscoring the potential for smarter, more accessible cardiac diagnostics. While his citation count reflects a focused, emerging impact, Deng’s contribution is notable for its clarity and foresight: it not only documents past progress but also signals future directions for AI-driven arrhythmia detection. For students and researchers interested in the convergence of computational methods and clinical cardiology, Deng’s bibliometric approach provides a foundational perspective on how AI is reshaping the landscape of heart health research.
Research Focus
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Top Papers
- 1