LabCompass

Xiang Liu

Computer Science · Purdue University West Lafayette

Mid career · publishing since 2002Rising activity

Publications

58

Citations

717

Est. group size

Recurring co-author estimate

Active years

24

Publishing since 2002

Research summary
AI-generated

Xiang Liu works on developing mathematical and machine-learning tools—particularly methods from topology (the study of shapes and connectivity, such as persistent homology) and graph-based deep learning—to analyze complex biological data. Applications include predicting how strongly drugs or proteins bind to their targets, studying protein and RNA structure, and analyzing biomedical and other structured data more broadly. The publication record also includes some more applied or unrelated engineering projects, such as noise detection in electric machines and image-based positioning systems.

Topological data analysis (persistent homology and related methods)Computational drug discovery and protein-ligand binding predictionGraph neural networks and topological deep learningBioinformatics and molecular/genomic network analysisApplied signal and image processing in engineering contexts

Publication output has grown substantially over the last decade, rising from about 1 paper per year in 2017 to a peak of 14 in 2025, with a recent five-year average of roughly 7 papers per year.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 6.8/year recently
2017: 1 publication17182019: 2 publications192020: 2 publications202021: 5 publications212022: 7 publications222023: 9 publications232024: 4 publications242025: 14 publications142526
Recent publications
Publishes in
  • Briefings in Bioinformatics×5
  • arXiv (Cornell University)×5
  • Journal of Chemical Information and Modeling×4
  • Figshare×3
  • Lecture notes in electrical engineering×2
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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 20, 2026.

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