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BMC Medical Informatics and Decision Making|February 2, 2024
The development of evaluation scale of the patient satisfaction with telemedicine: a systematic reviewYifei Du, Yu GuFoods (Basel, Switzerland)|May 4, 2026
Multi-Granularity Domain Adversarial Learning for Cross-Domain Tea Classification Using Electronic Nose SignalsXiaoran Wang, Yu GuGeroscience|June 8, 2026
Neurovascular decoupling and compensatory network recruitment during speech perception in aging: evidence from EEG-fNIRSLiu Yang, Yu GuJournal of Evaluation in Clinical Practice|May 5, 2026
Patient Involvement in Medical Service Quality Improvement: A Systematic ReviewJiajun Wu, Yu GuFoods (Basel, Switzerland)|February 25, 2022
A Machine Learning Method for the Quantitative Detection of Adulterated Meat Using a MOS-Based E-NoseChangquan Huang, Yu GuSensors (Basel, Switzerland)|June 6, 2020
Towards Robust and Accurate Detection of Abnormalities in Musculoskeletal Radiographs with a Multi-Network ModelShuang Liang, Yu GuFoods (Basel, Switzerland)|April 30, 2021
A Machine Learning Method for the Fine-Grained Classification of Green Tea with Geographical Indication Using a MOS-Based Electronic NoseDongbing Yu, Yu GuSensors (Basel, Switzerland)|August 19, 2020
A Machine Learning Method for the Detection of Brown Core in the Chinese Pear Variety Huangguan Using a MOS-Based E-NoseHao Wei, Yu GuWaste Management (New York, N.Y.)|March 29, 2021
A deep convolutional neural network to simultaneously localize and recognize waste types in imagesShuang Liang, Yu GuFoods (Basel, Switzerland)|July 12, 2025
Characterization of Aroma-Active Compounds in Five Dry-Cured Hams Based on Electronic Nose and GC-MS-Olfactometry Combined with Odor Description, Intensity, and Hedonic AssessmentDongbing Yu, Yu GuPageof 257