Papers
1
Total Citations
11
H-Index
1
About
Bei Gong is a researcher whose work sits at the intersection of artificial intelligence and cardiovascular medicine, with a particular focus on arrhythmia detection and bibliometric analysis. In their most-cited study, "Research output of artificial intelligence in arrhythmia from 2004 to 2021: a bibliometric analysis" (2022, 11 citations), Gong provided a comprehensive overview of how machine learning and artificial neural networks have transformed the landscape of arrhythmia research, especially with the rise of portable electrocardiogram devices. This work not only mapped the evolution of AI applications in cardiology but also highlighted emerging trends and research gaps, serving as a valuable roadmap for future investigations. Gong’s contributions are particularly notable for bridging the gap between computational methods and clinical practice, offering insights that help researchers and clinicians alike understand the trajectory of AI-driven cardiac care. Their bibliometric approach demonstrates a commitment to systematic knowledge synthesis, making their work essential reading for anyone entering the field of AI in medicine.
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Top Papers
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