Research performance of SCIE papers matching with ‘Medicine’
*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.
Machine Learning to Classify Intracardiac Electrical Patterns During Atrial Fibrillation: Machine Learning of Atrial Fibrillation.
2020/07 CIRCULATION-ARRHYTHMIA AND ELECTROPHYSIOLOGY 6.568 Impact Factor 6 citations
Mahmood Alhusseini, Firas M Abuzaid, Albert J Rogers, Junaid A Zaman, Tina Baykaner, Paul L Clopton, Peter Bailis, Matei Zaharia, Paul J. Wang, Wouter-Jan Rappel, Sanjiv M Narayan
Abstract 14675: Developing Convolutional Neural Networks for Deep Learning of Ventricular Action Potentials to Predict Risk for Ventricular Arrhythmias
Anojan Selvalingam, Mahmood Alhusseini, Albert J Rogers, David E Krummen, Firas M Abuzaid, Junaid A Zaman, Tina Baykaner, Paul L Clopton, Peter Bailis, Matei Zaharia, Sanjiv M Narayan
*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.
Apache Spark: a unified engine for big data processing
2016/10 COMMUNICATIONS OF THE ACM 4.027 Impact Factor 1720 citations
Matei Zaharia, Reynold S. Xin, Patrick Wendell, Tathagata Das, Michael Armbrust, Ankur Dave, Xiangrui Meng, Josh Rosen, Shivaram Venkataraman, Michael J. Franklin, Ali Ghodsi, Joseph Gonzalez, Scott Shenker, Ion Stoica
2016/01 JOURNAL OF MACHINE LEARNING RESEARCH 5 Impact Factor 1544 citations
Xiangrui Meng, Joseph Bradley, Burak Yavuz, Evan Sparks, Shivaram Venkataraman, Davies Liu, Jeremy Freeman, DB Tsai, Manish Amde, Sean Owen, Doris Xin, Reynold S. Xin, Michael J. Franklin, Reza Zadeh, Matei Zaharia, Ameet Talwalkar
