Dongyi Wang Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Federal Grant PI
High Impact
Assistant Professor
faculty
Biological and Agricultural Engineering
24 h-index
148 pubs
3,054 cited
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Dongyi Wang's research focuses on the development and application of advanced sensing systems, particularly in areas related to agriculture, biosensing, and materials science. He has received significant federal funding from the National Science Foundation (NSF) for his work. One NSF CAREER award, totaling $511,074, supports his investigation into autonomous agro-bioproduct manufacturing guided by hyperspectral imaging and imitation learning for personalized production. Another NSF grant of $50,000 funded a project focused on developing software to predict consumer food acceptability based on visual appearance under varying light conditions.
His scholarly output includes a substantial number of publications, with an h-index of 24 and over 2,990 citations. Wang's research interests span flexible electronics, nanoparticle applications, deep learning for non-destructive evaluation, and 3D vision techniques in food and agriculture. He has also explored topics such as the sustainable practices in poultry farming and the development of novel electrode materials for energy storage. His work often involves collaborations with researchers within the University of Arkansas at Fayetteville and the Arkansas Agricultural Experiment Station, including D Wang, Ebenezer Miezah Kwofie, Pouya Sohrabipour, and Philip G. Crandall.
Metrics
- h-index: 24
- Publications: 148
- Citations: 3,054
Selected Publications
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Portable electrochemical impedance biosensing with DRT-enabled machine learning for detecting E. coli O157:H7 in poultry meat (2026)
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Smartphone-enabled Depth-aware Transillumination Imaging for Detection of Chicken Breast Fillet Myopathies in Chicken Fillets (2026)
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Precision Farming Technologies for Monitoring Livestock and Poultry (2026)
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Synthetic Data Augmentation for Enhanced Chicken Carcass Instance Segmentation (2025)
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Evaluation of Robotic Swabbing and Fluorescent Sensing to Monitor the Hygiene of Food Contact Surfaces (2025)
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YOLO-ALDS: an instance segmentation framework for tomato defect segmentation and grading based on active learning and improved YOLO11 (2025)
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The Rapid Detection of Foreign Fibers in Seed Cotton Based on Hyperspectral Band Selection and a Lightweight Neural Network (2025)
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UniT: Data Efficient Tactile Representation With Generalization to Unseen Objects (2025)
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Cost-Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation in Poultry Processing (2025)
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Environmental-Health Convergence: A deep learning-oriented decision support system for catalyzing sustainable healthy food systems (2024)
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Insights from consumers' exposure to environmental nutrition information on a dashboard for improving sustainable healthy food choices (2024)
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Blackberry Growth Monitoring and Feature Quantification with Unmanned Aerial Vehicle (UAV) Remote Sensing (2024)
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Neural network architecture search enabled wide-deep learning (NAS-WD) for spatially heterogenous property awared chicken woody breast classification and hardness regression (2024)
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Leveraging imitation learning in agricultural robotics: a comprehensive survey and comparative analysis (2024)
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Review of deep learning-based methods for non-destructive evaluation of agricultural products (2024)
Federal Grants 2 $561,074 total
NSF
PI
Nov 2022 - Oct 2023
Collaboration Network
Top Collaborators
Lili Wang
Chinese Academy of Sciences (CN)
6 shared publications
- Flexible Self‐Powered Integrated Sensing System with 3D Periodic Ordered Black Phosphorus@MXene Thin‐Films
- Controlled Assembly of MXene Nanosheets as an Electrode and Active Layer for High‐Performance Electronic Skin
- Co-Co LDH-derived CoSe2 anchored on N-doped carbon nanospheres as high-performance anodes for sodium-ion batteries
- Chemically Modified Silk Fibroin Hydrogel for Environment-stable Electronic Skin
- Self‐Powered Smart Pressure Sensors: Flexible Self‐Powered Integrated Sensing System with 3D Periodic Ordered Black Phosphorus@MXene Thin‐Films (Adv. Mater. 22/2021)
Showing 5 of 6 shared publications
Wei Han
State Key Laboratory of Inorganic Synthesis and Preparative Chemistry
6 shared publications
- Flexible Self‐Powered Integrated Sensing System with 3D Periodic Ordered Black Phosphorus@MXene Thin‐Films
- Controlled Assembly of MXene Nanosheets as an Electrode and Active Layer for High‐Performance Electronic Skin
- Co-Co LDH-derived CoSe2 anchored on N-doped carbon nanospheres as high-performance anodes for sodium-ion batteries
- Chemically Modified Silk Fibroin Hydrogel for Environment-stable Electronic Skin
- Self‐Powered Smart Pressure Sensors: Flexible Self‐Powered Integrated Sensing System with 3D Periodic Ordered Black Phosphorus@MXene Thin‐Films (Adv. Mater. 22/2021)
Showing 5 of 6 shared publications
Ebenezer Miezah Kwofie
McGill University
6 shared publications
In database
- The design and development of a dashboard for improving sustainable healthy food choices
- Circular bioeconomy potential of rice husk as a bioplastic resource: Techno-environmental assessment
- Insights from consumers' exposure to environmental nutrition information on a dashboard for improving sustainable healthy food choices
- Environmental-Health Convergence: A deep learning-oriented decision support system for catalyzing sustainable healthy food systems
- Multiobjective Modeling of Risk to Health and Environmental Impact Under Stringent Mitigation Strategies: the Case of the United States Food System
Showing 5 of 6 shared publications
Zhenye Li
Nanjing Forestry University (CN)
5 shared publications
- Review of deep learning-based methods for non-destructive evaluation of agricultural products
- SCNet: A deep learning network framework for analyzing near-infrared spectroscopy using short-cut
- SSNet: Exploiting Spatial Information for Tobacco Stem Impurity Detection With Hyperspectral Imaging
- Is human perception reliable? Toward illumination robust food freshness prediction from food appearance — Taking lettuce freshness evaluation as an example
- The Rapid Detection of Foreign Fibers in Seed Cotton Based on Hyperspectral Band Selection and a Lightweight Neural Network
Philip G. Crandall
University of Arkansas at Fayetteville
5 shared publications
In database
- Environmental monitoring in food manufacturing: Current perspectives and emerging frontiers
- UniT: Data Efficient Tactile Representation With Generalization to Unseen Objects
- Cost-Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation in Poultry Processing
- Evaluation of Robotic Swabbing and Fluorescent Sensing to Monitor the Hygiene of Food Contact Surfaces
- Synthetic Data Augmentation for Enhanced Chicken Carcass Instance Segmentation
Pouya Sohrabipour
University of Arkansas at Fayetteville
5 shared publications
In database
- Leveraging imitation learning in agricultural robotics: a comprehensive survey and comparative analysis
- Neural network architecture search enabled wide-deep learning (NAS-WD) for spatially heterogenous property awared chicken woody breast classification and hardness regression
- Cost-Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation in Poultry Processing
- Evaluation of Robotic Swabbing and Fluorescent Sensing to Monitor the Hygiene of Food Contact Surfaces
- Synthetic Data Augmentation for Enhanced Chicken Carcass Instance Segmentation
Lianjia Zhao
4 shared publications
- Flexible Self‐Powered Integrated Sensing System with 3D Periodic Ordered Black Phosphorus@MXene Thin‐Films
- Controlled Assembly of MXene Nanosheets as an Electrode and Active Layer for High‐Performance Electronic Skin
- Chemically Modified Silk Fibroin Hydrogel for Environment-stable Electronic Skin
- Self‐Powered Smart Pressure Sensors: Flexible Self‐Powered Integrated Sensing System with 3D Periodic Ordered Black Phosphorus@MXene Thin‐Films (Adv. Mater. 22/2021)
Zeyu Yuan
Jilin University (CN)
4 shared publications
- Flexible Self‐Powered Integrated Sensing System with 3D Periodic Ordered Black Phosphorus@MXene Thin‐Films
- Controlled Assembly of MXene Nanosheets as an Electrode and Active Layer for High‐Performance Electronic Skin
- Co-Co LDH-derived CoSe2 anchored on N-doped carbon nanospheres as high-performance anodes for sodium-ion batteries
- Self‐Powered Smart Pressure Sensors: Flexible Self‐Powered Integrated Sensing System with 3D Periodic Ordered Black Phosphorus@MXene Thin‐Films (Adv. Mater. 22/2021)
Yiqiang Zheng
Institute of Semiconductors (CN)
4 shared publications
- Flexible Self‐Powered Integrated Sensing System with 3D Periodic Ordered Black Phosphorus@MXene Thin‐Films
- Chemically Modified Silk Fibroin Hydrogel for Environment-stable Electronic Skin
- Self‐Powered Smart Pressure Sensors: Flexible Self‐Powered Integrated Sensing System with 3D Periodic Ordered Black Phosphorus@MXene Thin‐Films (Adv. Mater. 22/2021)
- Eggshell-inspired high-deformation MXene biocomposite for flexible device
Prince Agyemang
McGill University
4 shared publications
In database
- The design and development of a dashboard for improving sustainable healthy food choices
- Insights from consumers' exposure to environmental nutrition information on a dashboard for improving sustainable healthy food choices
- Environmental-Health Convergence: A deep learning-oriented decision support system for catalyzing sustainable healthy food systems
- Multiobjective Modeling of Risk to Health and Environmental Impact Under Stringent Mitigation Strategies: the Case of the United States Food System
Jamie Baum
McGill University (CA)
4 shared publications
- The design and development of a dashboard for improving sustainable healthy food choices
- Insights from consumers' exposure to environmental nutrition information on a dashboard for improving sustainable healthy food choices
- Environmental-Health Convergence: A deep learning-oriented decision support system for catalyzing sustainable healthy food systems
- Multiobjective Modeling of Risk to Health and Environmental Impact Under Stringent Mitigation Strategies: the Case of the United States Food System
Siavash Mahmoudi
University of Arkansas at Fayetteville
4 shared publications
In database
- Leveraging imitation learning in agricultural robotics: a comprehensive survey and comparative analysis
- Neural network architecture search enabled wide-deep learning (NAS-WD) for spatially heterogenous property awared chicken woody breast classification and hardness regression
- Cost-Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation in Poultry Processing
- Evaluation of Robotic Swabbing and Fluorescent Sensing to Monitor the Hygiene of Food Contact Surfaces
Chaitanya Pallerla
University of Arkansas at Fayetteville
4 shared publications
In database
- Neural network architecture search enabled wide-deep learning (NAS-WD) for spatially heterogenous property awared chicken woody breast classification and hardness regression
- Cost-Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation in Poultry Processing
- Evaluation of Robotic Swabbing and Fluorescent Sensing to Monitor the Hygiene of Food Contact Surfaces
- Synthetic Data Augmentation for Enhanced Chicken Carcass Instance Segmentation
Xiyao Fu
Energy International (United States) (US)
3 shared publications
- Flexible Self‐Powered Integrated Sensing System with 3D Periodic Ordered Black Phosphorus@MXene Thin‐Films
- Controlled Assembly of MXene Nanosheets as an Electrode and Active Layer for High‐Performance Electronic Skin
- Self‐Powered Smart Pressure Sensors: Flexible Self‐Powered Integrated Sensing System with 3D Periodic Ordered Black Phosphorus@MXene Thin‐Films (Adv. Mater. 22/2021)
Yupu Zhang
Jilin University (CN)
3 shared publications
- Flexible Self‐Powered Integrated Sensing System with 3D Periodic Ordered Black Phosphorus@MXene Thin‐Films
- Controlled Assembly of MXene Nanosheets as an Electrode and Active Layer for High‐Performance Electronic Skin
- Self‐Powered Smart Pressure Sensors: Flexible Self‐Powered Integrated Sensing System with 3D Periodic Ordered Black Phosphorus@MXene Thin‐Films (Adv. Mater. 22/2021)
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