Yaping He Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
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Biography and Research Information
OverviewAI-generated summary
Yaping He's research interests span materials science, nanoscience, and biomedical applications. He has published work on thermal management modules inspired by honeycomb structures to mitigate thermal runaway propagation, and on the synthesis of gold-nanoparticle-based sensors for glucose detection. His work also includes the development of electrochemical aptasensors for detecting Ochratoxin A using carbon dots and black phosphorus nanohybrids, as well as potentiostatic electrodeposition of gold nanoparticles for electrocatalytic applications.
Further research by He involves near-infrared light-mediated cyclodextrin metal-organic frameworks for antibacterial and anti-biofilm therapies. He has also investigated polydopamine-loaded copper sulfide for activating H2O2 to eliminate tetracycline via an oxidation pathway, and reviewed flame behavior and fire hazard testing approaches for lightweight composite claddings. His scholarly output is substantial, with 219 total publications and an h-index of 40, supported by 4,960 total citations. He is recognized as a highly cited researcher and maintains an active lab website, collaborating with Miaoqing Huang and Shahrin Shahpoor at the University of Arkansas at Fayetteville.
Metrics
- h-index: 40
- Publications: 219
- Citations: 5,023
Selected Publications
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Enhancing Efficiency in Statistical Modeling of Wildfire Aerosols: A Heterogeneous Approach with R and GPU Acceleration (2025)
Collaboration Network
Top Collaborators
- Current trends and frontiers
- Introduction to the supervised learning process
- Improving deep learning models
- Tuning hyperparameters and improving models
- Deep learning for pixel-level predictions
Showing 5 of 9 shared publications
- Current trends and frontiers
- Introduction to the supervised learning process
- Improving deep learning models
- Tuning hyperparameters and improving models
- Deep learning for pixel-level predictions
Showing 5 of 9 shared publications
- Facial synthesis of highly efficient non-enzymatic glucose sensor based on vertically aligned Au-ZnO NRs
- Ultrasensitive and label-free electrochemical aptasensor based on carbon dots-black phosphorus nanohybrid for the detection of Ochratoxins A
- Facial synthesis of highly efficient non-enzymatic glucose sensor based on vertically aligned Au-ZnO NRs
- Ultrasensitive and label-free electrochemical aptasensor based on carbon dots-black phosphorus nanohybrid for the detection of Ochratoxins A
- Facial synthesis of highly efficient non-enzymatic glucose sensor based on vertically aligned Au-ZnO NRs
- Ultrasensitive and label-free electrochemical aptasensor based on carbon dots-black phosphorus nanohybrid for the detection of Ochratoxins A
- Interoceptive awareness mediated the effects of a <scp>15‐minute</scp> diaphragmatic breathing on empathy for pain: A randomized controlled trial
- The Effect of Abdominal Breathing on Empathy for Pain: The Role of Interoceptive Awareness
- Interoceptive awareness mediated the effects of a <scp>15‐minute</scp> diaphragmatic breathing on empathy for pain: A randomized controlled trial
- The Effect of Abdominal Breathing on Empathy for Pain: The Role of Interoceptive Awareness
- Interoceptive awareness mediated the effects of a <scp>15‐minute</scp> diaphragmatic breathing on empathy for pain: A randomized controlled trial
- The Effect of Abdominal Breathing on Empathy for Pain: The Role of Interoceptive Awareness
- Convolutional Neural Network Compression Based on Low-Rank Decomposition
- Orthogonal-Aware Constraint Neural Network Compression Based on Low-Rank Representation Learning
- Automatic Modulation Recognition Based on Sample-Transferable and Branch-Scalable Method for Signals in Complex Multipath Channel
- Automatic modulation recognition based on sample-transferable and branch-scalable method for signals in complex multipath channel
- Automatic Modulation Recognition Based on Sample-Transferable and Branch-Scalable Method for Signals in Complex Multipath Channel
- Automatic modulation recognition based on sample-transferable and branch-scalable method for signals in complex multipath channel
- Automatic Modulation Recognition Based on Sample-Transferable and Branch-Scalable Method for Signals in Complex Multipath Channel
- Automatic modulation recognition based on sample-transferable and branch-scalable method for signals in complex multipath channel
- Automatic Modulation Recognition Based on Sample-Transferable and Branch-Scalable Method for Signals in Complex Multipath Channel
- Automatic modulation recognition based on sample-transferable and branch-scalable method for signals in complex multipath channel
- Salidroside Exerts Neuroprotective Effects via Inhibiting Ferroptosis in Mice with Traumatic Brain Injury
- Correction: Salidroside Exerts Neuroprotective Effects via Inhibiting Ferroptosis in Mice with Traumatic Brain Injury
- Salidroside Exerts Neuroprotective Effects via Inhibiting Ferroptosis in Mice with Traumatic Brain Injury
- Correction: Salidroside Exerts Neuroprotective Effects via Inhibiting Ferroptosis in Mice with Traumatic Brain Injury
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