Dongyi Wang Source Confirmed
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Assistant Professor
University of Arkansas at Fayetteville
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Biography and Research Information
OverviewAI-generated summary
Dongyi Wang's research focuses on the development and application of advanced materials and technologies, with a particular emphasis on flexible electronics, energy storage, and biosensing. Wang has investigated the controlled assembly of MXene nanosheets for high-performance electronic skin and the creation of flexible self-powered integrated sensing systems utilizing black phosphorus and MXene thin films. Additionally, Wang has explored the use of radioluminescent nanoparticles for optogenetic modulation of cortical neurons.
Wang's work also extends to sustainable agricultural practices and food science, including reviews on deep learning for non-destructive evaluation of agricultural products and three-dimensional vision techniques in food and agriculture. Research in energy storage includes the development of novel anode materials for sodium-ion batteries, such as cobalt-selenium derived carbon nanospheres. Wang has also contributed to health sciences through studies on liposomes for alleviating synovial inflammation by altering macrophage polarity.
With an h-index of 24 and over 2,900 citations across 139 publications, Wang is recognized as a highly cited researcher. Wang has served as PI on an NSF I-Corps grant for developing a software application to predict consumer food acceptability. Key collaborators at the University of Arkansas at Fayetteville include Ebenezer Miezah Kwofie, Prince Agyemang, Siavash Mahmoudi, and Philip G. Crandall.
Metrics
- h-index: 24
- Publications: 139
- Citations: 2,922
Selected Publications
- Synthetic Data Augmentation for Enhanced Chicken Carcass Instance Segmentation (2025) DOI
- YOLO-ALDS: an instance segmentation framework for tomato defect segmentation and grading based on active learning and improved YOLO11 (2025) DOI
- The Rapid Detection of Foreign Fibers in Seed Cotton Based on Hyperspectral Band Selection and a Lightweight Neural Network (2025) DOI
- UniT: Data Efficient Tactile Representation With Generalization to Unseen Objects (2025) DOI
- Cost-Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation in Poultry Processing (2025) DOI
- Environmental-Health Convergence: A deep learning-oriented decision support system for catalyzing sustainable healthy food systems (2024) DOI
- Insights from consumers' exposure to environmental nutrition information on a dashboard for improving sustainable healthy food choices (2024) DOI
- Blackberry Growth Monitoring and Feature Quantification with Unmanned Aerial Vehicle (UAV) Remote Sensing (2024) DOI
- Neural network architecture search enabled wide-deep learning (NAS-WD) for spatially heterogenous property awared chicken woody breast classification and hardness regression (2024) DOI
- Leveraging imitation learning in agricultural robotics: a comprehensive survey and comparative analysis (2024) DOI
- Review of deep learning-based methods for non-destructive evaluation of agricultural products (2024) DOI
- Is human perception reliable? Toward illumination robust food freshness prediction from food appearance — Taking lettuce freshness evaluation as an example (2024) DOI
- The design and development of a dashboard for improving sustainable healthy food choices (2024) DOI
- MEMO: dataset and methods for robust multimodal retinal image registration with large or small vessel density differences (2024) DOI
- SSNet: Exploiting Spatial Information for Tobacco Stem Impurity Detection With Hyperspectral Imaging (2024) DOI
Federal Grants 1 $50,000 total
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