Year |
Citation |
Score |
2020 |
Sun D, Xu H, Weng H, Zhou W, Liang Y, Dong X, He Y, Cen H. Optimal temporal-spatial fluorescence techniques for phenotyping nitrogen status in oilseed rape (Brassica napus L.). Journal of Experimental Botany. PMID 32777073 DOI: 10.1093/Jxb/Eraa372 |
0.3 |
|
2020 |
Lu R, Beers RV, Saeys W, Li C, Cen H. Measurement of optical properties of fruits and vegetables: A review Postharvest Biology and Technology. 159: 111003. DOI: 10.1016/J.Postharvbio.2019.111003 |
0.45 |
|
2020 |
Wan L, Cen H, Zhu J, Zhang J, Zhu Y, Sun D, Du X, Zhai L, Weng H, Li Y, Li X, Bao Y, Shou J, He Y. Grain yield prediction of rice using multi-temporal UAV-based RGB and multispectral images and model transfer – a case study of small farmlands in the South of China Agricultural and Forest Meteorology. 291: 108096. DOI: 10.1016/J.Agrformet.2020.108096 |
0.38 |
|
2019 |
Sun D, Weng H, He X, Li L, He Y, Cen H. Combining near-infrared hyperspectral imaging with elemental and isotopic analysis to discriminate farm-raised pacific white shrimp from high-salinity and low-salinity environments. Food Chemistry. 299: 125121. PMID 31310915 DOI: 10.1016/J.Foodchem.2019.125121 |
0.407 |
|
2019 |
Sun D, Zhu Y, Xu H, He Y, Cen H. Time-Series Chlorophyll Fluorescence Imaging Reveals Dynamic Photosynthetic Fingerprints of Mutants to Drought Stress. Sensors (Basel, Switzerland). 19. PMID 31212744 DOI: 10.3390/S19122649 |
0.338 |
|
2019 |
Abdalla A, Cen H, El-manawy A, He Y. Infield oilseed rape images segmentation via improved unsupervised learning models combined with supreme color features Computers and Electronics in Agriculture. 162: 1057-1068. DOI: 10.1016/J.Compag.2019.05.051 |
0.358 |
|
2018 |
Yao J, Sun D, Cen H, Xu H, Weng H, Yuan F, He Y. Phenotyping of Drought Stress Response Using Kinetic Chlorophyll Fluorescence and Multicolor Fluorescence Imaging. Frontiers in Plant Science. 9: 603. PMID 29868063 DOI: 10.3389/Fpls.2018.00603 |
0.313 |
|
2018 |
Liu Z, He Y, Cen H, Lu R. Deep Feature Representation with Stacked Sparse Auto-Encoder and Convolutional Neural Network for Hyperspectral Imaging-Based Detection of Cucumber Defects Transactions of the Asabe. 61: 425-436. DOI: 10.13031/Trans.12214 |
0.348 |
|
2018 |
Weng H, Lv J, Cen H, He M, Zeng Y, Hua S, Li H, Meng Y, Fang H, He Y. Hyperspectral reflectance imaging combined with carbohydrate metabolism analysis for diagnosis of citrus Huanglongbing in different seasons and cultivars Sensors and Actuators B: Chemical. 275: 50-60. DOI: 10.1016/J.Snb.2018.08.020 |
0.387 |
|
2018 |
Jiang J, Cen H, Zhang C, Lyu X, Weng H, Xu H, He Y. Nondestructive quality assessment of chili peppers using near-infrared hyperspectral imaging combined with multivariate analysis Postharvest Biology and Technology. 146: 147-154. DOI: 10.1016/J.Postharvbio.2018.09.003 |
0.477 |
|
2017 |
Cen H, Weng H, Yao J, He M, Lv J, Hua S, Li H, He Y. Chlorophyll Fluorescence Imaging Uncovers Photosynthetic Fingerprint of Citrus Huanglongbing. Frontiers in Plant Science. 8: 1509. PMID 28900440 DOI: 10.3389/Fpls.2017.01509 |
0.362 |
|
2017 |
Zhao Y, Yu K, Feng C, Cen H, He Y. Early Detection of Aphid (Myzus persicae) Infestation on Chinese Cabbage by Hyperspectral Imaging and Feature Extraction Transactions of the Asabe. 60: 1045-1051. DOI: 10.13031/Trans.11886 |
0.388 |
|
2016 |
Wu X, Zhang W, Qiu Z, Cen H, He Y. A Novel Method for Detection of Pieris rapae Larvae on Cabbage Leaves Using NIR Hyperspectral Imaging Applied Engineering in Agriculture. 32: 311-316. DOI: 10.13031/Aea.32.11444 |
0.449 |
|
2016 |
Cen H, Lu R, Zhu Q, Mendoza F. Nondestructive detection of chilling injury in cucumber fruit using hyperspectral imaging with feature selection and supervised classification Postharvest Biology and Technology. 111: 352-361. DOI: 10.1016/J.Postharvbio.2015.09.027 |
0.416 |
|
2016 |
Pan L, Lu R, Zhu Q, Tu K, Cen H. Predict Compositions and Mechanical Properties of Sugar Beet Using Hyperspectral Scattering Food and Bioprocess Technology. 1-10. DOI: 10.1007/S11947-016-1710-5 |
0.519 |
|
2015 |
Zhu Q, He C, Lu R, Mendoza F, Cen H. Ripeness evaluation of 'Sun Bright' tomato using optical absorption and scattering properties Postharvest Biology and Technology. 103: 27-34. DOI: 10.1016/J.Postharvbio.2015.02.007 |
0.589 |
|
2014 |
Mendoza F, Lu R, Cen H. Grading of apples based on firmness and soluble solids content using Vis/SWNIR spectroscopy and spectral scattering techniques Journal of Food Engineering. 125: 59-68. DOI: 10.1016/J.Jfoodeng.2013.10.022 |
0.533 |
|
2014 |
Cen H, Lu R, Ariana DP, Mendoza F. Hyperspectral Imaging-Based Classification and Wavebands Selection for Internal Defect Detection of Pickling Cucumbers Food and Bioprocess Technology. 7: 1689-1700. DOI: 10.1007/S11947-013-1177-6 |
0.715 |
|
2014 |
Pan L, Lu R, Tu K, Cen H. Detection of moisture, soluble solids, and sucrose content and mechanical properties of sugar beet by hyperspectral scattering imaging American Society of Agricultural and Biological Engineers Annual International Meeting 2014, Asabe 2014. 6: 4409-4419. |
0.47 |
|
2013 |
Zhao X, Zhu Q, Huang M, Cen H. An IGA-PLSP method for FT-NIR wavelength selection for measuring soluble solid content of citrus fruits Analytical Methods. 5: 4811-4817. DOI: 10.1039/C3Ay40916C |
0.426 |
|
2013 |
Cen H, Lu R, Mendoza F, Beaudry RM. Relationship of the optical absorption and scattering properties with mechanical and structural properties of apple tissue Postharvest Biology and Technology. 85: 30-38. DOI: 10.1016/J.Postharvbio.2013.04.014 |
0.504 |
|
2012 |
Cen H, Lu R, Mendoza FA, Ariana DP. Assessing multiple quality attributes of peaches using optical absorption and scattering properties Transactions of the Asabe. 55: 647-657. DOI: 10.13031/2013.41366 |
0.77 |
|
2012 |
Mendoza F, Lu R, Cen H. Comparison and fusion of four nondestructive sensors for predicting apple fruit firmness and soluble solids content Postharvest Biology and Technology. 73: 89-98. DOI: 10.1016/J.Postharvbio.2012.05.012 |
0.332 |
|
2012 |
Cen H, Lu R, Mendoza FA. Analysis of absorption and scattering spectra for assessing the internal quality of apple fruit Acta Horticulturae. 945: 181-188. |
0.512 |
|
2011 |
Mendoza F, Lu R, Cen H. Multi-sensor data fusion for improved prediction of apple fruit firmness and soluble solids content Proceedings of Spie - the International Society For Optical Engineering. 8027. DOI: 10.1117/12.883649 |
0.318 |
|
2011 |
Cen H, Lu R, Mendoza FA, Ariana DP. Peach maturity/quality assessment using hyperspectral imaging-based spatially-resolved technique Proceedings of Spie - the International Society For Optical Engineering. 8027. DOI: 10.1117/12.883573 |
0.768 |
|
2011 |
Mendoza F, Lu R, Ariana D, Cen H, Bailey B. Integrated spectral and image analysis of hyperspectral scattering data for prediction of apple fruit firmness and soluble solids content Postharvest Biology and Technology. 62: 149-160. DOI: 10.1016/J.Postharvbio.2011.05.009 |
0.75 |
|
2011 |
Lu R, Ariana DP, Cen H. Optical absorption and scattering properties of normal and defective pickling cucumbers for 700-1000 nm Sensing and Instrumentation For Food Quality and Safety. 5: 51-56. DOI: 10.1007/S11694-011-9108-6 |
0.768 |
|
2010 |
Cen H, Lu R. Optimization of the hyperspectral imaging-based spatially-resolved system for measuring the optical properties of biological materials. Optics Express. 18: 17412-32. PMID 20721128 DOI: 10.1364/Oe.18.017412 |
0.494 |
|
2010 |
Lu R, Cen H, Huang M, Ariana DP. Spectral absorption and scattering properties of normal and bruised apple tissue Transactions of the Asabe. 53: 263-269. DOI: 10.13031/2013.29491 |
0.755 |
|
2010 |
Lu R, Ariana DP, Cen H. Characterization of the optical properties of normal and defective pickling cucumbers and whole pickles Proceedings of Spie - the International Society For Optical Engineering. 7676. DOI: 10.1117/12.852636 |
0.769 |
|
2010 |
Cen H, Lu R, Dolan K. Optimization of inverse algorithm for estimating the optical properties of biological materials using spatially-resolved diffuse reflectance Inverse Problems in Science and Engineering. 18: 853-872. DOI: 10.1080/17415977.2010.492516 |
0.426 |
|
2010 |
Mendoza F, Lu R, Ariana D, Cen H, Bailey B. Integration of hyperspectral scattering characteristics and image analysis techniques for improved prediction of apple fruit firmness and soluble solids content American Society of Agricultural and Biological Engineers Annual International Meeting 2010, Asabe 2010. 2: 1693-1714. |
0.474 |
|
2009 |
Cen H, Lu R. Quantification of the optical properties of two-layer turbid materials using a hyperspectral imaging-based spatially-resolved technique. Applied Optics. 48: 5612-23. PMID 19823246 DOI: 10.1364/Ao.48.005612 |
0.485 |
|
2009 |
Lu R, Cen H, Huang M, Ariana DP. Optical properties of bruised apple tissue American Society of Agricultural and Biological Engineers Annual International Meeting 2009, Asabe 2009. 9: 5560-5570. |
0.732 |
|
2009 |
Cen H, Lu R. Determining the optical properties of two-layer turbid materials based on spatially resolved diffuse reflectance American Society of Agricultural and Biological Engineers Annual International Meeting 2009, Asabe 2009. 2: 990-1006. |
0.408 |
|
2007 |
Cen H, Bao Y, He Y, Sun DW. Visible and near infrared spectroscopy for rapid detection of citric and tartaric acids in orange juice Journal of Food Engineering. 82: 253-260. DOI: 10.1016/J.Jfoodeng.2007.02.039 |
0.384 |
|
2007 |
Cen H, He Y, Huang M. Combination and comparison of multivariate analysis for the identification of orange varieties using visible and near infrared reflectance spectroscopy European Food Research and Technology. 225: 699-705. DOI: 10.1007/S00217-006-0470-2 |
0.418 |
|
2006 |
Cen H, Bao Y, He Y. Pattern recognition of visible and near-infrared spectroscopy from bayberry juice by use of partial least squares and a backpropagation neural network. Applied Optics. 45: 7679-83. PMID 17068604 DOI: 10.1364/Ao.45.007679 |
0.359 |
|
2006 |
Cen H, He Y, Huang M. Measurement of soluble solids contents and pH in orange juice using chemometrics and vis-NIRS. Journal of Agricultural and Food Chemistry. 54: 7437-43. PMID 17002405 DOI: 10.1021/Jf061689F |
0.374 |
|
2006 |
Cen H, Bao Y, Huang M, He Y. Time series analysis of grey forecasting based on wavelet transform and its prediction applications Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4109: 349-357. DOI: 10.1007/11815921_38 |
0.301 |
|
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