The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Jianying Hu sits on this spectrum.
This scientist: 191 publications — 43rd percentile
43% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Jianying Hu sits on this spectrum.
This scientist: 54 D-Index — 69th percentile
69% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
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:
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.
Stefan Harrer;Pratik Shah;Bhavna Antony;Jianying Hu
Pratik Shah;Francis Kendall;Francis Kendall;Sean Khozin;Ryan Goosen
Jianying Hu;M.K. Brown;W. Turin
Yu Cheng;Fei Wang;Ping Zhang;Jianying Hu
A. Mojsilovic;J. Kovacevic;Jianying Hu;R.J. Safranek
Ping Zhang;Fei Wang;Jianying Hu;Robert Sorrentino
Yalin Wang;Jianying Hu
S. Kicha Ganapathy;Jianying Hu;Jelena Kovacevic;Aleksandra Mojsilovic
Jianying Hu;Sok Gek Lim;Michael K. Brown
Jimeng Sun;Fei Wang;Jianying Hu;Shahram Edabollahi
Chuanren Liu;Fei Wang;Jianying Hu;Hui Xiong
Sanjoy Dey;Heng Luo;Achille Fokoue;Jianying Hu
Jianying Hu;Aleksandra Mojsilovic
Jiayu Zhou;Fei Wang;Jianying Hu;Jieping Ye
R.S. Kashi;J. Hu;W.L. Nelson;W. Turin
Yoonyoung Park;Gretchen Purcell Jackson;Gretchen Purcell Jackson;Morgan A Foreman;Daniel Gruen
Adam Perer;Fei Wang;Jianying Hu
Ping Zhang;Fei Wang;Jianying Hu;Robert Sorrentino
Kenney Ng;Jimeng Sun;Jianying Hu;Fei Wang
Jianying Hu;Ramanujan S. Kashi;Daniel P. Lopresti;Gordon T. Wilfong
G. Penn;Jianying Hu;Hengbin Luo;R. McDonald
Jianying Hu;R. Kashi;D. Lopresti;G. Nagy
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