Author

Chunjiang Zhu

Old Dominion University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:benchmark study· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:graph neural network· 1 Organism:human· 1 Approach:large language model· 1

Frequent Co-Authors

J. Qiu· 1 shared Y. Chitikela· 1 shared Yamini Chitikela· 1 shared Z. Jia· 1 shared Zhenquan JiaiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

5 top collaborators · 4 mutual co-author links

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1 shared paperBioinformatics

J. Qiu

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintNov 10, 2026

Automated Continuous LLM-driven Biomedical Literature Mining for a Large-Scale Hepatotoxicity Knowledge Base

J. Qiu, Y. Chitikela, Z. Jia, Chunjiang Zhu

The paper describes an automated pipeline using a large language model to collect hepatotoxicity findings from biomedical literature, creating a large-scale knowledge base with 189,212 findings.

DOI 10.64898/2026.11.09.765369

deep learninglarge language model

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BioinformaticsbioRxivPreprintSep 22, 2026

A Graph-based QSAR Modeling Pipeline for Predicting In vitro PubChem Assays and In vivo Human Hepatotoxicity: Mechanistic Analysis of Caspase-3/7 Activation

Yamini Chitikela, Chunjiang Zhu, Zhenquan Jia

This paper develops a graph-based QSAR pipeline to predict in vitro Caspase-3/7 activation and in vivo hepatotoxicity, showing improved performance over classical models.

DOI 10.64898/2026.06.10.731399

humangraph neural network

𝕏 PostBluesky