Wen Zou Data-verified

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

High Impact

Researcher

Last publication 2025 Last refreshed 2026-05-16

faculty

26 h-index 109 pubs 2,904 cited

Biography and Research Information

OverviewAI-generated summary

Wen Zou's research focuses on the application of computational methods, particularly data mining and machine learning, to analyze complex biological and health-related datasets. This work includes developing and comparing algorithms for tasks such as topic modeling, pattern recognition, and prediction. Zou has investigated the reproducibility of genetic variant detection in whole genome sequencing and explored machine learning models for predicting liver toxicity.

Further research has involved the use of natural language processing techniques to analyze large databases, such as the FDA Adverse Events Reporting System (FAERS), to identify trends and risks associated with prescription opioids. This includes RxNorm for drug name normalization and text fingerprinting for literature analysis. Zou also contributes to the study of microbial organisms, investigating methods to disrupt pathogen integrity, as demonstrated by research on carvacrol's effects on *Alternaria alternata*.

Zou has published extensively, with a total of 110 publications and an h-index of 26, accumulating over 2,871 citations. Collaborations include extensive work with colleagues at the National Center for Toxicological Research, such as Weigong Ge (12 shared publications), Joe Meehan (6 shared publications), and Bohu Pan (6 shared publications).

Metrics

  • h-index: 26
  • Publications: 109
  • Citations: 2,904

Selected Publications

  • AI-powered topic modeling: comparing LDA and BERTopic in analyzing opioid-related cardiovascular risks in women (2025)
    27 citations DOI OpenAlex
  • Editorial: AI/ML in pharmacovigilance and pharmacoepidemiology (2024)
    2 citations DOI OpenAlex
  • A systematic analysis and data mining of opioid-related adverse events submitted to the FAERS database (2023)
    7 citations DOI OpenAlex
  • Decision forest—a machine learning algorithm for QSAR modeling (2023)
    1 citation DOI OpenAlex
  • Additional file 5 of Assessing reproducibility of inherited variants detected with short-read whole genome sequencing (2022)
  • Additional file 15 of Assessing reproducibility of inherited variants detected with short-read whole genome sequencing (2022)
  • Additional file 10 of Assessing reproducibility of inherited variants detected with short-read whole genome sequencing (2022)
  • Additional file 9 of Assessing reproducibility of inherited variants detected with short-read whole genome sequencing (2022)
  • Additional file 11 of Assessing reproducibility of inherited variants detected with short-read whole genome sequencing (2022)
  • Machine Learning Models for Predicting Liver Toxicity (2022)
    16 citations DOI OpenAlex
  • Assessing reproducibility of inherited variants detected with short-read whole genome sequencing (2022)
    55 citations DOI OpenAlex
  • Text Fingerprinting and Topic Mining in the Prescription Opioid Use Literature (2021)
    3 citations DOI OpenAlex
  • Discovering Drug-Drug Associations in the FDA Adverse Event Reporting System Database with Data Mining Approaches (2021)
    1 citation DOI OpenAlex
  • GCRSR Proficiency Test, 2021 (2021)
  • GCRSR Proficiency Test, 2021 (2021)

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Collaboration Network

121 Collaborators 47 Institutions 5 Countries

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