LabCompass

Publications

139

Citations

2,860

Est. group size

~9

Recurring co-author estimate

Active years

25

Publishing since 2001

Research summary
AI-generated

Jie Zhang's work spans computational biology and cancer research, using bioinformatics, machine learning, and deep learning to analyze genomic data and medical images. Projects include gene selection from single-cell RNA sequencing, text mining of disease-related literature, deep learning for cancer detection in histopathology and radiology images, and molecular studies of various cancers. The research combines data-driven computational methods with biomedical and clinical questions.

Bioinformatics and genomic data analysisMachine learning and deep learning for medical imagingCancer biology and molecular mechanismsSingle-cell transcriptomicsText mining of biomedical literature

Publication activity peaked around 2019-2022 and has been lower in the most recent years, suggesting a modest slowing.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence
Publications per year over the last 10 years — averaging 10.2/year recently
2017: 5 publications172018: 7 publications182019: 22 publications22192020: 21 publications202021: 15 publications212022: 19 publications222023: 14 publications232024: 8 publications242025: 10 publications2526
Recent publications
Publishes in
  • Zenodo (CERN European Organization for Nuclear Research)×16
  • Figshare×14
  • bioRxiv (Cold Spring Harbor Laboratory)×9
  • PMC×8
  • Frontiers in Oncology×4

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 11, 2026.

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