Pengyin Chen

This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.

High Impact

Researcher

University of Arkansas primary UA Pine Bluff

Also affiliated: Universidad Mayor (2014); Weifang Medical University (2024); Agricultural Research Service (2015–2017); Delta Air Lines (United States) (2017–2024); Tianjin University of Science and Technology (2009); United States Department of Agriculture (2015–2017); University of Alberta (2021–2022); Northwestern Polytechnical University (2016); Cornell University (2008); Missouri College (2021); University of Arkansas System (2006–2019); Mississippi Delta Community College (2022); Schlumberger (Ireland) (2011); Universidad Metropolitana de Honduras (2014); Plant (United States) (2021); Institute of Crop Science (2014); University of Missouri System (2017); Tennessee State University (2008); University of Missouri (2015–2024); Delta State University (2021–2023); Mississippi State University (2017)

Faculty Researcher

47 h-index 240 pubs 6,754 cited

Research Areas

Biomedical Subjects

Links

ORCID Research Group

OverviewAI-generated summary

Pengyin Chen's research focuses on the genetic improvement of soybean, particularly concerning yield and stress tolerance. Chen has investigated the use of unmanned aerial vehicle-based imagery and convolutional neural networks for yield estimation in soybean breeding lines under drought stress. Further work has explored the qualification of soybean responses to flooding stress using similar remote sensing and deep learning techniques.

Chen's publications also delve into the genetic basis of specific traits in soybean. This includes genome-wide association studies and genomic selection for yield and related traits, as well as identifying novel fatty acid desaturases contributing to increased oleic acid content in soybean seeds. Research has also addressed breeding for disease resistance in soybean from a global perspective, including specific work on Soybean mosaic virus resistance.

Beyond soybean, Chen has contributed to a study examining the global, national, and regional burden of acute myeloid leukemia in older adults. Chen is a highly cited researcher with a significant publication record and leads a research group at the University of Arkansas at Fayetteville, collaborating extensively with faculty members within the institution, including Caio Canella Vieira, Leandro Mozzoni, Dongho Lee, and R. T. Robbins.