Yanbin Li Data-verified

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

High Impact

Distinguished Professor

Last publication 2025 Last refreshed 2026-05-16

faculty

79 h-index 796 pubs 21,813 cited

Biography and Research Information

OverviewAI-generated summary

Distinguished Professor Yanbin Li's research program at the University of Arkansas focuses on the development and application of biosensing technologies, microbial predictive models, and risk assessment methodologies. His work is characterized by a strong emphasis on creating advanced biosensors for rapid and sensitive detection, particularly for foodborne pathogens. Recent publications highlight the design of microfluidic devices incorporating nanomaterials like MnO2 nanozymes for enhanced colorimetric detection of bacteria such as Salmonella.

Beyond biosensing, Li's research interests extend to computational approaches and environmental factors. This includes investigating machine learning for the design optimization of electromagnetic devices and exploring the dynamic relationships between meteorological and agricultural drought. His scholarly output is substantial, with a high-impact researcher designation, evidenced by 796 total publications and over 21,800 citations, reflecting a significant body of work in his fields of expertise. He collaborates with researchers at the University of Arkansas, including Fei Jia, Sonatan Kumar Biswas, and Lisa Kelso.

Metrics

  • h-index: 79
  • Publications: 796
  • Citations: 21,813

Selected Publications

  • Research gaps and priorities for quantitative microbial risk assessment (QMRA) (2024)
    29 citations DOI OpenAlex
  • Deep learning enhanced multiplex detection of viable foodborne pathogens in digital microfluidic chip (2023)
    38 citations DOI OpenAlex
  • An amplification-free CRISPR-SERS biosensor for specific, sensitive and rapid detection of Salmonella Typhimurium in poultry (2023)
    25 citations DOI OpenAlex
  • Dual-functional manganese dioxide nanoclusters for power-free microfluidic biosensing of foodborne bacteria (2023)
    21 citations DOI OpenAlex
  • Lab-on-chip separation and biosensing of pathogens in agri-food (2023)
    35 citations DOI OpenAlex
  • A three-in-one hybrid nanozyme for sensitive colorimetric biosensing of pathogens (2022)
    34 citations DOI OpenAlex
  • Power-free colorimetric biosensing of foodborne bacteria in centrifugal tube (2022)
    30 citations DOI OpenAlex
  • A microfluidic biosensor based on finger-driven mixing and nuclear track membrane filtration for fast and sensitive detection of Salmonella (2022)
    42 citations DOI OpenAlex
  • A Novel Activated Biochar-Based Immunosensor for Rapid Detection of E. coli O157:H7 (2022)
    29 citations DOI OpenAlex
  • An automatic centrifugal system for rapid detection of bacteria based on immunomagnetic separation and recombinase aided amplification (2022)
    28 citations DOI OpenAlex
  • Rapid and automatic Salmonella typhimurium detection integrating continuous-flow magnetic separation and dynamic impedance measurement (2022)
    22 citations DOI OpenAlex
  • An electrochemical sensing method based on CRISPR/Cas12a system and hairpin DNA probe for rapid and sensitive detection of Salmonella Typhimurium (2022)
    63 citations DOI OpenAlex
  • A CRISPR-Cas12a-powered magnetic relaxation switching biosensor for the sensitive detection of Salmonella (2022)
    68 citations DOI OpenAlex
  • Chlorine Tolerance and Cross-Resistance to Antibiotics in Poultry-Associated Salmonella Isolates in China (2022)
    40 citations DOI OpenAlex
  • A finger-actuated microfluidic biosensor for colorimetric detection of foodborne pathogens (2021)
    74 citations DOI OpenAlex

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Collaboration Network

274 Collaborators 109 Institutions 13 Countries

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