Huixiao Hong

National Center for Toxicological Research — United States

Computer Science · Physical Sciences

72h-index20.4kcitations379works7.22yr avg
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Research Topics

Computational Drug Discovery Methods(118), Gene expression and cancer classification(51), Molecular Biology Techniques and Applications(36), Genomics and Rare Diseases(34), Bioinformatics and Genomic Networks(33)

Publications378 total

Using Machine Learning for Green Substitution of Industrial Chemicals: Integrating Functionality, Hazard, and Life Cycle Impact
Chemical Reviews·2026· 2 cited
Analysis of flavor metabolism characteristics of quinoa (Chenopodium quinoa Willd.) sprout plant beverage by GC-IMS combined with intelligent sensory technology
Food Research International·2025· 1 cited
Beyond Competitive Binding: New Biochemical Insights Challenge Endocrine Disrupting Chemical Screening Paradigms
Environmental Science & Technology·2025
Integrating Molecular Dynamics, Molecular Docking, and Machine Learning for Predicting SARS-CoV-2 Papain-like Protease Binders
Molecules·2025· 4 citedOpen Access
Analyzing Online Learner Patterns and Inter-Course Linkages Using Boostcourse Enrollment Data
Journal of the Korean Association of Information Education·2025
Realizing Impact of Artificial Intelligence in Real World Enhances Public Health
Experimental Biology and Medicine·2025Open Access
Pharmacovigilance in the digital age: gaining insight from social media data
Experimental Biology and Medicine·2025· 7 citedOpen Access
A refined set of RxNorm drug names for enhancing unstructured data analysis in drug safety surveillance
Experimental Biology and Medicine·2025· 1 citedOpen Access
Detection of misfolded proteins in neurodegenerative disease models with a highly sensitive chemiluminescence probe
2025Open Access
Microbe-imprinted polymers for rapid drug-resistant bacteria recognition
Chemical Engineering Journal·2025· 1 cited
Multimodal feature fusion machine learning for predicting chronic injury induced by engineered nanomaterials
Nature Communications·2025· 17 citedOpen Access
Developing predictive models for µ opioid receptor binding using machine learning and deep learning techniques
Experimental Biology and Medicine·2025· 2 citedOpen Access
AI-powered topic modeling: comparing LDA and BERTopic in analyzing opioid-related cardiovascular risks in women
Experimental Biology and Medicine·2025· 27 citedOpen Access
Analysis of Structures of SARS-CoV-2 Papain-like Protease Bound with Ligands Unveils Structural Features for Inhibiting the Enzyme
Molecules·2025· 11 citedOpen Access
Personal Satisfaction with Accessibility and Service Quality: Spatial Justice in Guangzhou’s Social Housing Communities
Urban Science·2025Open Access
Affinitive Microbe-Imprinted Polymers for Rapid Drug-Resistant Bacteria Recognition
SSRN Electronic Journal·2025Open Access
Development of a comprehensive open access “molecules with androgenic activity resource (MAAR)” to facilitate risk assessment of chemicals
Experimental Biology and Medicine·2024· 1 citedOpen Access
Unlocking the potential of AI: Machine learning and deep learning models for predicting carcinogenicity of chemicals
Journal of Environmental Science and Health Part C·2024· 7 citedOpen Access
Perspectives on Advancing Multimodal Learning in Environmental Science and Engineering Studies
Environmental Science & Technology·2024· 22 cited
Determining high priority disinfection byproducts based on experimental aquatic toxicity data and predictive models: Virtual screening and in vivo study
The Science of The Total Environment·2024· 8 cited
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Frequent Co-authors

Weida Tong(29), Hong Fang(19), Roger Perkins(16), Zhenqiang Su(13), Leming Shi(13), Leming Shi(11), James C. Fuscoe(10), Charles Wang(9), Wenjun Bao(7), Lei Guo(7), Baitang Ning(7), Joshua Xu(7), Andreas Scherer(7), Qian Xie(7), Wendell Jones(6), Jean Thierry‐Mieg(6), Weigong Ge(6), Youping Deng(6), Ying Yu(6), Nouri Neamati(6)