Pengyin Chen Source Confirmed

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

High Impact

Researcher

University of Arkansas at Fayetteville

faculty

45 h-index 236 pubs 6,444 cited

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Biography and Research Information

OverviewAI-generated summary

Pengyin Chen's research program focuses on the genetic improvement of soybean and the application of advanced technologies for crop characterization. His work investigates methods to enhance disease resistance, yield potential, and nutritional content in soybean varieties. This includes employing genome-wide association studies and genomic selection to identify genetic markers associated with desirable traits.

Chen also utilizes unmanned aerial vehicle (UAV)-based imagery and deep learning techniques for yield estimation and to assess plant responses to environmental stressors such as drought and flooding. His research group has explored novel fatty acid desaturases to increase oleic acid content in soybean seeds. In addition to his plant science research, Chen has contributed to a publication on the global burden of acute myeloid leukemia.

With a scholarly record of 236 publications and 6,444 citations, Chen is recognized as a highly cited researcher. He actively collaborates with colleagues at the University of Arkansas at Fayetteville, including Caio Canella Vieira, Leandro Mozzoni, R. T. Robbins, and J. C. Rupe, with whom he has co-authored numerous publications.

Metrics

  • h-index: 45
  • Publications: 236
  • Citations: 6,444

Selected Publications

  • Identification of Quantitative Trait Loci (QTL) for Sucrose and Protein Content in Soybean Seed (2024) DOI

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