LabCompass

Yan Cong

Computer Science · Purdue University West Lafayette

OpenAlex ORCID
Mid career · publishing since 2001
Topic ModelingNatural Language Processing TechniquesNeurobiology of Language and BilingualismSchizophrenia research and treatmentText Readability and Simplification

Publications

40

Citations

208

Est. group size

—

Recurring co-author estimate

Active years

26

Publishing since 2001

Research summary
AI-generated

Yan Cong works at the intersection of computational linguistics and clinical psychiatry, using natural language processing and large language models to study how humans process meaning (such as quantifiers, implicatures, and discourse connectives) and how speech and language patterns relate to conditions like schizophrenia, psychosis, delirium, and aphasia. Much of the work involves building computational tools to detect subtle language disturbances that may serve as markers of mental health conditions, as well as evaluating whether AI language models capture human-like semantic and pragmatic reasoning.

Computational linguistics and language modelsSemantics and pragmatics (quantifiers, implicatures)Language and mental health (schizophrenia, psychosis, delirium)Speech-based clinical markersAI models applied to second language learning and aphasia recovery

Publication output rose sharply from 2021 onward after no recorded output in 2017-2019, peaking in 2022, and has continued at a moderate, somewhat variable pace through 2025-2026.

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

Publication cadence
Publications per year over the last 10 years — averaging 5.0/year recently
1718192020: 1 publication202021: 6 publications212022: 11 publications11222023: 2 publications232024: 7 publications242025: 3 publications252026: 2 publications26
Recent publications
Publishes in
  • Biological Psychiatry×3
  • medRxiv×3
  • Scientific Reports×2
  • Frontiers in Artificial Intelligence×2
  • arXiv (Cornell University)×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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