Wouter Saeys

What is he best known for?

The fields of study Wouter Saeys is best known for:

• Laser
• Wavelength
• Classical mechanics

His study looks at the relationship between Trailer and fields such as Automotive engineering, as well as how they intersect with chemical problems. His study brings together the fields of Automotive engineering and Tractor. His study in the field of Quantum mechanics also crosses realms of Horticulture. His Quantum mechanics study often links to related topics such as Quality (philosophy). He connects relevant research areas such as Calibration and Partial least squares regression in the domain of Statistics. Wouter Saeys performs multidisciplinary study in Calibration and Statistics in his work. His multidisciplinary approach integrates Optics and Optoelectronics in his work. In his study, Wouter Saeys carries out multidisciplinary Optoelectronics and Optics research. His study in Image (mathematics) extends to Artificial intelligence with its themes.

His most cited work include:

• Nondestructive measurement of fruit and vegetable quality by means of NIR spectroscopy: A review (1614 citations)
• Potential for Onsite and Online Analysis of Pig Manure using Visible and Near Infrared Reflectance Spectroscopy (363 citations)
• NIR Spectroscopy Applications for Internal and External Quality Analysis of Citrus Fruit—A Review (325 citations)

What are the main themes of his work throughout his whole career to date

In most of his Optics studies, his work intersects topics such as Scattering and Near-infrared spectroscopy. His study deals with a combination of Scattering and Optics. Artificial intelligence and Control (management) are commonly linked in his work. His Control (management) study frequently draws connections to adjacent fields such as Artificial intelligence. Many of his studies on Statistics apply to Partial least squares regression as well. His Partial least squares regression study frequently draws connections to adjacent fields such as Statistics. He applies his multidisciplinary studies on Quantum mechanics and Spectroscopy in his research. In his research, he performs multidisciplinary study on Spectroscopy and Quantum mechanics. Wouter Saeys integrates many fields, such as Remote sensing and Hyperspectral imaging, in his works.

Wouter Saeys most often published in these fields:

• Optics (35.40%)
• Artificial intelligence (32.30%)
• Statistics (28.57%)

What were the highlights of his more recent work (between 2020-2022)?

• Food science (57.14%)
• Statistics (57.14%)
• Optics (42.86%)

In recent works Wouter Saeys was focusing on the following fields of study:

His Optics investigation overlaps with Diffuse reflection and Intensity (physics). His Composite material study has been linked to subjects such as Range (aeronautics) and Absorption (acoustics). Many of his studies on Range (aeronautics) apply to Composite material as well. Wouter Saeys undertakes multidisciplinary investigations into Food science and Biochemistry in his work. Wouter Saeys conducted interdisciplinary study in his works that combined Biochemistry and Food science. His research on Statistics often connects related areas such as Regression. Near-infrared spectroscopy and Neuroscience are frequently intertwined in his study. Neuroscience is frequently linked to Near-infrared spectroscopy in his study. While working in this field, Wouter Saeys studies both Partial least squares regression and Principal component analysis.

Between 2020 and 2022, his most popular works were:

• Application of multivariate data analysis for food quality investigations: An example-based review (15 citations)
• Simulation of light propagation in citrus fruit using monte carlo multi-layered (MCML) method (14 citations)
• Effects of harvest time, fruit size and cultivar on the bulk optical properties of Satsuma mandarin (9 citations)

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