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How has Jian Chen's publication output changed over time?
ScholarIQpublication output · 2016–2019
Output grew100% over the shown period — from 1 works in 2016 to 2 in 2019.
1
2
5
2
2016201720182019
What are the most-cited papers on Jian Chen?
ScholarIQmost cited works
Current status of artificial intelligence applications in urology and their potential to influence clinical practice
Jian Chen, Daphne Remulla, Jessica H. Nguyen, Aastha Dua, Yan Liu, Prokar Dasgupta, Andrew J. Hung
S191188855. 2019202 Citations
Automated Performance Metrics and Machine Learning Algorithms to Measure Surgeon Performance and Anticipate Clinical Outcomes in Robotic Surgery
Andrew J. Hung, Jian Chen, Inderbir S. Gill
S86924810. 2018196 CitationsOPEN ACCESS
Utilizing Machine Learning and Automated Performance Metrics to Evaluate Robot-Assisted Radical Prostatectomy Performance and Predict Outcomes
Andrew J. Hung, Jian Chen, Zhengping Che, Tanachat Nilanon, Anthony Jarc, Micha Titus, Paul Oh, Inderbir S. Gill, Yan Liu
Journal of Endourology. 2018185 Citations
Development and Validation of Objective Performance Metrics for Robot-Assisted Radical Prostatectomy: A Pilot Study
Andrew J. Hung, Jian Chen, Anthony Jarc, David Hatcher, Hooman Djaladat, Inderbir S. Gill
The Journal of Urology. 2017153 CitationsOPEN ACCESS
A deep‐learning model using automated performance metrics and clinical features to predict urinary continence recovery after robot‐assisted radical prostatectomy
Andrew J. Hung, Jian Chen, Saum Ghodoussipour, Paul Oh, Zequn Liu, Jessica H. Nguyen, Sanjay Purushotham, Inderbir S. Gill, Yan Liu
S191188855. 2019150 CitationsOPEN ACCESS
Related on ScholarIQ
HBIS (China)
Institution
Current status of artificial intelligence applications in urology and their potential to influence clinical practice
Paper
Automated Performance Metrics and Machine Learning Algorithms to Measure Surgeon Performance and Anticipate Clinical Outcomes in Robotic Surgery
Paper
Utilizing Machine Learning and Automated Performance Metrics to Evaluate Robot-Assisted Radical Prostatectomy Performance and Predict Outcomes
Paper
Development and Validation of Objective Performance Metrics for Robot-Assisted Radical Prostatectomy: A Pilot Study
Paper
A deep‐learning model using automated performance metrics and clinical features to predict urinary continence recovery after robot‐assisted radical prostatectomy
Paper