World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
54
Citations
9366
World Ranking
4646
National Ranking
2157

Research.com Recognitions

  • 2015 - IEEE Fellow For contributions to pattern recognition in business and health analytics, and document analysis
  • 2010 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to pattern recognition methodologies and applications and service to IAPR

Overview

Jianying Hu is affiliated with IBM in the United States and has contributed extensively to research at the intersection of medicine, artificial intelligence, and computational biology. Their body of work primarily spans fields such as Medicine and Biochemistry, Genetics and Molecular Biology, with notable subfields including Molecular Biology, Genetics, Neurology, Artificial Intelligence, and Computational Theory and Mathematics.

The scientist has focused on several main topics, including Machine Learning in Healthcare, Computational Drug Discovery Methods, Bioinformatics and Genomic Networks, Parkinson's Disease Mechanisms and Treatments, Metabolomics and Mass Spectrometry Studies, Genetic Associations and Epidemiology, and Artificial Intelligence in Healthcare and Education.

Jianying Hu has published recent papers across a variety of respected journals and venues, reflecting a broad engagement with cutting-edge research topics. Key publications include:

  • "Evaluating artificial intelligence in medicine: phases of clinical research" (2020) in JAMIA Open
  • "Leveraging artificial intelligence for pandemic preparedness and response: a scoping review to identify key use cases" (2021) in npj Digital Medicine
  • "Comparison of Methods to Reduce Bias From Clinical Prediction Models of Postpartum Depression" (2021) in JAMA Network Open
  • "Discovery of Parkinson's disease states and disease progression modelling: a longitudinal data study using machine learning" (2021) in The Lancet Digital Health
  • "The causal associations of circulating amino acids with blood pressure: a Mendelian randomization study" (2022) in BMC Medicine

Their work is regularly published in venues such as arXiv (Cornell University), bioRxiv (Cold Spring Harbor Laboratory), SSRN Electronic Journal, Movement Disorders, and Nature Communications, indicating a multidisciplinary approach and a strong presence in both preprint and peer-reviewed outlets.

Frequent collaborators include Kenney Ng, Yan Zheng, Zhendong Mei, Feixiong Cheng, and Michal Rosen-Zvi, reflecting ongoing cooperative efforts in advancing their research areas.

Jianying Hu's contributions have been recognized through honors such as being named an IEEE Fellow in 2015 for work on pattern recognition in business and health analytics, and document analysis. They were also made a Fellow of the International Association for Pattern Recognition (IAPR) in 2010 for contributions to pattern recognition methodologies, applications, and service to IAPR.

Best Publications

  • Artificial Intelligence for Clinical Trial Design.

    Stefan Harrer;Pratik Shah;Bhavna Antony;Jianying Hu

  • Artificial intelligence and machine learning in clinical development: a translational perspective

    Pratik Shah;Francis Kendall;Francis Kendall;Sean Khozin;Ryan Goosen

  • HMM based online handwriting recognition

    Jianying Hu;M.K. Brown;W. Turin

  • Risk Prediction with Electronic Health Records: A Deep Learning Approach.

    Yu Cheng;Fei Wang;Ping Zhang;Jianying Hu

  • Matching and retrieval based on the vocabulary and grammar of color patterns

    A. Mojsilovic;J. Kovacevic;Jianying Hu;R.J. Safranek

  • Label Propagation Prediction of Drug-Drug Interactions Based on Clinical Side Effects

    Ping Zhang;Fei Wang;Jianying Hu;Robert Sorrentino

  • A machine learning based approach for table detection on the web

    Yalin Wang;Jianying Hu

  • Retrieval and matching of color patterns based on a predetermined vocabulary and grammar

    S. Kicha Ganapathy;Jianying Hu;Jelena Kovacevic;Aleksandra Mojsilovic

  • Writer independent on-line handwriting recognition using an HMM approach

    Jianying Hu;Sok Gek Lim;Michael K. Brown

  • Supervised patient similarity measure of heterogeneous patient records

    Jimeng Sun;Fei Wang;Jianying Hu;Shahram Edabollahi

  • Temporal Phenotyping from Longitudinal Electronic Health Records: A Graph Based Framework

    Chuanren Liu;Fei Wang;Jianying Hu;Hui Xiong

  • Predicting adverse drug reactions through interpretable deep learning framework.

    Sanjoy Dey;Heng Luo;Achille Fokoue;Jianying Hu

  • High-utility pattern mining: A method for discovery of high-utility item sets

    Jianying Hu;Aleksandra Mojsilovic

  • From micro to macro: data driven phenotyping by densification of longitudinal electronic medical records

    Jiayu Zhou;Fei Wang;Jianying Hu;Jieping Ye

  • On-line handwritten signature verification using hidden Markov model features

    R.S. Kashi;J. Hu;W.L. Nelson;W. Turin

  • Evaluating artificial intelligence in medicine: phases of clinical research

    Yoonyoung Park;Gretchen Purcell Jackson;Gretchen Purcell Jackson;Morgan A Foreman;Daniel Gruen

  • Mining and exploring care pathways from electronic medical records with visual analytics

    Adam Perer;Fei Wang;Jianying Hu

  • Towards personalized medicine: leveraging patient similarity and drug similarity analytics.

    Ping Zhang;Fei Wang;Jianying Hu;Robert Sorrentino

  • Personalized Predictive Modeling and Risk Factor Identification using Patient Similarity.

    Kenney Ng;Jimeng Sun;Jianying Hu;Fei Wang

  • Medium-Independent Table Detection

    Jianying Hu;Ramanujan S. Kashi;Daniel P. Lopresti;Gordon T. Wilfong

  • Flexible Web document analysis for delivery to narrow-bandwidth devices

    G. Penn;Jianying Hu;Hengbin Luo;R. McDonald

  • Why table ground-truthing is hard

    Jianying Hu;R. Kashi;D. Lopresti;G. Nagy

Frequent Co-Authors

Aleksandra Mojsilovic
Aleksandra Mojsilovic IBM (United States)
Gordon Wilfong
Gordon Wilfong Nokia (United States)
Vikas Sindhwani
Vikas Sindhwani Google (United States)
Adam Perer
Adam Perer Carnegie Mellon University
Mark S. Squillante
Mark S. Squillante IBM (United States)
Daniel P. Lopresti
Daniel P. Lopresti Lehigh University
Yu Cheng
Yu Cheng Microsoft (United States)
Jelena Kovacevic
Jelena Kovacevic New York University
Jiayu Zhou
Jiayu Zhou Michigan State University
Avi Ma'ayan
Avi Ma'ayan Icahn School of Medicine at Mount Sinai

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