Huixiao Hong Data-verified

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

High Impact

SBRBPAS Expert

NCTR

Last publication 2022 Last refreshed 2026-05-16

faculty

73 h-index 380 pubs 20,717 cited

Research Areas

Links

ORCID Google Scholar Lab Website

OverviewAI-generated summary

Huixiao Hong's research has focused on precision public health and the implications of the MCBIOS and MAQC 2021 Joint Conference. Hong has contributed to the field through editorial work, highlighting advancements and discussions from this significant conference. Their recent activity indicates ongoing engagement with research in this area.

Metrics

h-index: 73
Publications: 380
Citations: 20,717

Selected Publications

Multimodal feature fusion machine learning for predicting chronic injury induced by engineered nanomaterials (2025)

20 citations DOI OpenAlex
AI-powered topic modeling: comparing LDA and BERTopic in analyzing opioid-related cardiovascular risks in women (2025)

31 citations DOI OpenAlex
Analysis of Structures of SARS-CoV-2 Papain-like Protease Bound with Ligands Unveils Structural Features for Inhibiting the Enzyme (2025)

13 citations DOI OpenAlex
Unlocking the potential of AI: Machine learning and deep learning models for predicting carcinogenicity of chemicals (2024)

8 citations DOI OpenAlex
Perspectives on Advancing Multimodal Learning in Environmental Science and Engineering Studies (2024)

24 citations DOI OpenAlex
Determining high priority disinfection byproducts based on experimental aquatic toxicity data and predictive models: Virtual screening and in vivo study (2024)

8 citations DOI OpenAlex
Machine learning and deep learning approaches for enhanced prediction of hERG blockade: a comprehensive QSAR modeling study (2024)

20 citations DOI OpenAlex
BERT-based language model for accurate drug adverse event extraction from social media: implementation, evaluation, and contributions to pharmacovigilance practices (2024)

15 citations DOI OpenAlex
Computational Nanotoxicology Models for Environmental Risk Assessment of Engineered Nanomaterials (2024)

37 citations DOI OpenAlex
Fingerprinting Interactions between Proteins and Ligands for Facilitating Machine Learning in Drug Discovery (2024)

26 citations DOI OpenAlex
Machine learning and deep learning for brain tumor MRI image segmentation (2023)

36 citations DOI OpenAlex
Review of machine learning and deep learning models for toxicity prediction (2023)

74 citations DOI OpenAlex
Evaluation of QSAR models for predicting mutagenicity: outcome of the Second Ames/QSAR international challenge project (2023)

19 citations DOI OpenAlex
Quartet DNA reference materials and datasets for comprehensively evaluating germline variant calling performance (2023)

29 citations DOI OpenAlex
Developing a SARS-CoV-2 main protease binding prediction random forest model for drug repurposing for COVID-19 treatment (2023)

10 citations DOI OpenAlex