Yanbin Li Source Confirmed

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

High Impact

Distinguished Professor

University of Arkansas at Fayetteville

faculty

79 h-index 796 pubs 21,619 cited

Research Areas

Microfluidic and Bio-sensing Technologies Microbial infections and disease research Genomics and Phylogenetic Studies Plant Pathogens and Fungal Diseases Advanced Neural Network Applications Food Security and Health in Diverse Populations Salmonella and Campylobacter epidemiology

Links

ORCID Lab Website

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OverviewAI-generated summary

Dr. Yanbin Li's research program centers on the development and application of biosensing technologies, microbial predictive models, and risk assessment methodologies. His work has resulted in a substantial body of scholarship, evidenced by a high h-index of 79 and over 21,000 citations across more than 790 publications. Dr. Li has investigated the use of microfluidic devices and nanozymes for the rapid and sensitive detection of foodborne pathogens, such as Salmonella. He has also explored the application of machine learning in the design optimization of electromagnetic devices and examined factors influencing renewable energy generation for environmental sustainability.

His research interests extend to understanding the genomics and metabolic characteristics of novel bacteria, contributing to the field of microbial ecology. Dr. Li has also contributed to studies on plant pathogens and fungal diseases, as well as the dynamic variations of meteorological and agricultural droughts. His work demonstrates a broad engagement with interdisciplinary research, spanning biological sciences, engineering, and environmental studies.

Metrics

h-index: 79
Publications: 796
Citations: 21,619

Selected Publications

Research gaps and priorities for quantitative microbial risk assessment (QMRA) (2024) DOI
Deep learning enhanced multiplex detection of viable foodborne pathogens in digital microfluidic chip (2023) DOI
An amplification-free CRISPR-SERS biosensor for specific, sensitive and rapid detection of Salmonella Typhimurium in poultry (2023) DOI
Dual-functional manganese dioxide nanoclusters for power-free microfluidic biosensing of foodborne bacteria (2023) DOI
Lab-on-chip separation and biosensing of pathogens in agri-food (2023) DOI
A three-in-one hybrid nanozyme for sensitive colorimetric biosensing of pathogens (2022) DOI
Power-free colorimetric biosensing of foodborne bacteria in centrifugal tube (2022) DOI
A microfluidic biosensor based on finger-driven mixing and nuclear track membrane filtration for fast and sensitive detection of Salmonella (2022) DOI
A Novel Activated Biochar-Based Immunosensor for Rapid Detection of E. coli O157:H7 (2022) DOI
An automatic centrifugal system for rapid detection of bacteria based on immunomagnetic separation and recombinase aided amplification (2022) DOI
An electrochemical sensing method based on CRISPR/Cas12a system and hairpin DNA probe for rapid and sensitive detection of Salmonella Typhimurium (2022) DOI
A CRISPR-Cas12a-powered magnetic relaxation switching biosensor for the sensitive detection of Salmonella (2022) DOI
Chlorine Tolerance and Cross-Resistance to Antibiotics in Poultry-Associated Salmonella Isolates in China (2022) DOI
A finger-actuated microfluidic biosensor for colorimetric detection of foodborne pathogens (2021) DOI
Fluorescence Nanobiosensor for Simultaneous Detection of Multiple Veterinary Drugs in Chicken Samples (2021) DOI