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K

Kunshan Yao

Changzhou Institute of Technology

27H指数
56论文数
1.9K被引数
收录论文 33
发表时间
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SERS-Based Detection of Food Contaminants: From Laboratory Sensitivity to Practical Implementation—Bottlenecks and Pathways to Standardization基于SERS的食物污染物检测：从实验室灵敏度到实际应用——标准化过程中的瓶颈与路径
errFoods
IF5.1
err2026-09-06
err0
errOAAI
errDonglin Cui; Xin Zhou; Zuqi Zhou; Jun Sun; Yao Tang; Kunshan Yao
err分享
err收藏
Advances in Non-Destructive Detection Technologies for Seed Quality: A Review种子质量无损检测技术的进展：综述
errAgriculture-Basel
IF3.6
err2026-08-30
err0
errOAAI
errZexing Jiang; Jun Sun; Xingyu Ji; Li Zhu; Chunxia Dai; Bing Zhang; Shuai Yuan; Kunshan Yao
err分享
err收藏
Non-Destructive Detection of Meat Quality: Sensing Information, Application Scenarios, and Multi-Source Fusion非破坏性肉类质量检测：传感信息、应用场景与多源融合
errAgriculture-Basel
IF3.6
err2026-08-22
err0
errOAAI
errXin Wang; Jun Sun; Xingyu Ji; Yanjun Yu; Chunxia Dai; Kunshan Yao; Xiaojiao Du; Bing Zhang
err分享
err收藏
Non-destructive prediction of lead content in oilseed rape leaves by fluorescence hyperspectral technology based on neural network基于神经网络的荧光高光谱技术对油菜叶片中铅含量的无损预测
errFood Chemistry
IF9.8
err2026-07-01
err0
PREAI
errTang, Yao; Zhou, Xin; Sun, Jun; Zhou, Zuqi; Yao, Kunshan
err分享
err收藏
Real-Time Monitoring of the Quality Changes in Chestnut (Ctanea mollissima Blume) with Low-Field Nuclear Magnetic Resonance–Raman Technology in Hot Air Drying利用低场核磁共振–拉曼技术在热风干燥过程中实时监测板栗（Ctanea mollissima Blume）品质变化
errFood and Bioprocess Technology
IF5.8
err2025-12-09
err0
PREAI
errYan Li; Tian Tan; Xueying Zhang; Dongmin Yin; Haoxuan Li; Xiaojing Chen; Bing Zhang; Jun Sun; Xiaojiao Du; Kunshan Yao; Xinyu Chen
err分享
err收藏
Nondestructive assessment of refrigerated quality attributes of kiwifruit via hyperspectral imaging coupled with a point-to-interval prediction model利用高光谱成像结合点-区间预测模型对猕猴桃冷藏品质属性进行无损评估
errFood Chemistry
IF9.8
err2025-11-27
err0
PREAI
errSunli Cong; Jun Sun; Lei Shi; Chunxia Dai; Xiaohong Wu; Bing Zhang; Kunshan Yao; Xiao Ge
err分享
err收藏
An ensemble deep learning method for predicting cadmium content in eggs using hyperspectral imaging基于高光谱成像的集成深度学习方法预测鸡蛋中镉含量
errMeasurement
IF5.6
err2025-07-24
err0
PREAI
errKunshan Yao; Yibo Zhang; Jun Sun; Yexin Xu; Xingrui Jia; Yujie Wei; Bing Zhang; Xiaojiao Du; Yan Li
err分享
err收藏
Nondestructive detection of heavy metal lead in eggs using hyperspectral imaging combined with deep learning-based feature extraction method基于深度学习特征提取方法的高光谱成像技术对鸡蛋中重金属铅的非破坏性检测
errJournal of Food Composition and Analysis
IF4.6
err2025-07-05
err0
PREAI
errKunshan Yao; Yibo Zhang; Jun Sun; Yexin Xu; Bing Zhou; Kaizhi Wang; Bing Zhang; Xiaojiao Du; Yan Li
err分享
err收藏
Fluorescence hyperspectral imaging for detection of selenium content in lettuce leaves under cadmium-free and cadmium environments荧光高光谱成像技术在镉缺失和镉环境下生菜叶片硒含量检测中的应用
errFOOD CHEMISTRY
IF9.8
err2025-07-01
err0
PREAI
errShi, Lei; Sun, Jun; Cong, Sunli; Ji, Xingyu; Yao, KunShan; Zhang, Bing; Zhou, Xin
err分享
err收藏
Hyperspectral imaging combined with a universal hybrid deep network for identifying early chilling injury in kiwifruit across varieties高光谱成像结合通用混合深度网络用于识别不同品种猕猴桃的早期冷害
errPostharvest Biology and Technology
IF6.8
err2025-06-24
err0
PREAI
errSunli Cong; Jun Sun; Lei Shi; Chunxia Dai; Xiaohong Wu; Bing Zhang; Kunshan Yao
err分享
err收藏
Non-destructive estimation for Kyoho grape shelf-life using Vis/NIR hyperspectral imaging and deep learning algorithm
errINFRARED PHYSICS & TECHNOLOGY
IF3.4
err2024-11-01
err1
PREAI
errXu, Min; Sun, Jun; Cheng, Jiehong; Yao, Kunshan; Shi, Lei; Zhou, Xin
err分享
err收藏
Simultaneous detection for storage condition and storage time of yellow peach under different storage conditions using hyperspectral imaging with multi-target characteristic selection and multi-task model
errJOURNAL OF FOOD COMPOSITION AND ANALYSIS
IF4.6
err2024-11-01
err3
PREAI
errShi, Lei; Sun, Jun; Zhang, Bing; Wu, Zhaoqi; Jia, Yilin; Yao, Kunshan; Zhou, Xin
err分享
err收藏
On-line monitoring of egg freshness using a portable NIR spectrometer combined with deep learning algorithm
errINFRARED PHYSICS & TECHNOLOGY
IF3.4
err2024-05-01
err5
PREAI
errYao, Kunshan; Sun, Jun; Zhang, Bing; Du, Xiaojiao; Chen, Chen
err分享
err收藏
Nondestructive detection of saponin content in Panax notoginseng powder based on hyperspectral imaging
errJOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS
IF3.1
err2024-05-01
err10
PREAI
errSun, Jun; Yao, Kunshan; Cheng, Jiehong; Xu, Min; Zhou, Xin
err分享
err收藏
A method for freshness detection of pork using two-dimensional correlation spectroscopy images combined with dual-branch deep learning
errJOURNAL OF FOOD COMPOSITION AND ANALYSIS
IF4.6
err2024-05-01
err3
PREAI
errSun, Jun; Cheng, Jiehong; Xu, Min; Yao, Kunshan
err分享
err收藏
Generalized and hetero two-dimensional correlation analysis of hyperspectral imaging combined with three-dimensional convolutional neural network for evaluating lipid oxidation in pork
errFOOD CONTROL
IF6.3
err2023-11-01
err13
PREAI
errCheng, Jiehong; Sun, Jun; Yao, Kunshan; Dai, Chunxia
err分享
err收藏
Multi-task convolutional neural network for simultaneous monitoring of lipid and protein oxidative damage in frozen-thawed pork using hyperspectral imaging
errMEAT SCIENCE
IF6.1
err2023-07-01
err30
PREAI
errCheng, Jiehong; Sun, Jun; Yao, Kunshan; Xu, Min; Dai, Chunxia
err分享
err收藏
Monitoring S-ovalbumin content in eggs during storage using portable NIR spectrometer and multivariate analysis
errINFRARED PHYSICS & TECHNOLOGY
IF3.4
err2023-06-01
err10
PREAI
errYao, Kunshan; Sun, Jun; Cheng, Jiehong; Xu, Min; Chen, Chen; Zhou, Xin
err分享
err收藏
A deep learning method for predicting lead content in oilseed rape leaves using fluorescence hyperspectral imaging
errFOOD CHEMISTRY
IF9.8
err2023-05-01
err21
PREAI
errZhou, Xin; Zhao, Chunjiang; Sun, Jun; Cao, Yan; Yao, Kunshan; Xu, Min
err分享
err收藏
Detection of lead content in oilseed rape leaves and roots based on deep transfer learning and hyperspectral imaging technology基于深度迁移学习和高光谱成像技术的油菜叶片和根系铅含量检测
errSPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
IF4.6
err2023-04-01
err25
PREAI
errZhou, Xin; Zhao, Chunjiang; Sun, Jun; Yao, Kunshan; Xu, Min
err分享
err收藏

研究方向

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合作期刊
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B
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H 指数: 50 · 论文数: 531
张
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H 指数: 44 · 论文数: 437
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