Scholar
Jun Xu
Google Scholar ID: 99gdDhkAAAAJ
Professor, Nanjing University of Information Science & Technology, China
Citations & Impact
Citations
2,754
H-index
24
i10-index
40
Publications
20
Co-authors
20
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Principal Investigator of NSFC Major Program on 'Intelligent Diagnosis and Treatment of Major Diseases' (2025–2027)
- Leading a key sub-project in National Key R&D Program of China on 'Frontier Biotechnology' (2023–2028)
- Leading a Major Basic Research Project from Jiangsu Provincial Science & Technology Department (2023–2026)
- Led NSFC-Zhejiang Joint Key Project on deep learning-based pathological response assessment in breast cancer (2019–2022)
- Led multiple NSFC General Programs on male infertility, breast cancer metastasis risk, and ER+ recurrence prediction (2012–2025)
- Served as PI for key sub-projects under NSFC Major Research Plan on 'Tumor Evolution and Molecular Imaging' (2019–2025)
- Published in top journals including Nature Communications, Radiology, IEEE TMI, and Medical Image Analysis
Research Experience
- 2021–present: Professor and Associate Dean, School of Artificial Intelligence, NUIST
- 2024–present: Director, Jiangsu Key Lab of Intelligent Medical Image Computing
- 2022–present: Executive Dean, NUIST-Zhongda Hospital Institute of Smart Healthcare
- 2011–2021: Professor, School of Automation, NUIST
- 2014–2019: Visiting Professor, Dept. of Biomedical Engineering, Case Western Reserve University, USA
- 2008–2011: Postdoctoral Researcher, Dept. of Biomedical Engineering, Rutgers University, USA
Background
- Professor II & Associate Dean, School of Artificial Intelligence, Nanjing University of Information Science and Technology
- Director, Jiangsu Key Laboratory of Intelligent Medical Image Computing
- Research focuses on multimodal medical data analysis, computational pathology, digital pathology, and AI-assisted diagnosis/prognosis using imaging and histopathology
- His lab integrates high-resolution digital pathology, X-ray, CT, multiparametric MRI, PET, EHRs, text, and biosignals with quantitative image analysis, NLP, signal processing, and machine learning
- Applications span breast, liver, pancreatic, GI, gynecological, urological, brain, ophthalmic, and reproductive diseases
- Five core research thrusts: intelligent pathology, medical imaging & analysis, brain science & neuroimaging, multi-omics & health big data, multimodal biosignals & wearables
- Over 4,600 citations on Google Scholar; consistently ranked in Stanford’s top 2% of scientists worldwide
