Pengyin Chen Data-verified

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

High Impact

Researcher

Last publication 2024 Last refreshed 2026-05-23

faculty

46 h-index 239 pubs 6,623 cited

Biography and Research Information

OverviewAI-generated summary

Pengyin Chen leads a research group at the University of Arkansas at Fayetteville, focusing on plant genetics and breeding, particularly in soybean. His work investigates methods to improve crop yield and resilience, including the use of unmanned aerial vehicle (UAV)-based imagery and deep learning techniques for yield estimation and stress qualification under conditions such as drought and flooding. Chen has published research on genome-wide association studies and genomic selection for yield and related traits in soybean, as well as studies on breeding for disease resistance, including resistance to Soybean mosaic virus.

His research also extends to understanding the genetic basis of specific seed traits, such as increasing oleic acid content through the identification of novel fatty acid desaturases. Chen's scholarship metrics include an h-index of 45, 236 total publications, and 6,495 total citations, designating him as a highly cited researcher. Key collaborators include Caio Canella Vieira, Leandro Mozzoni, R. T. Robbins, and J. C. Rupe, all from the University of Arkansas at Fayetteville, with whom he has co-authored numerous publications.

Metrics

  • h-index: 46
  • Publications: 239
  • Citations: 6,623

Selected Publications

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

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Collaboration Network

178 Collaborators 48 Institutions 6 Countries

Top Collaborators

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