D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Engineering and Technology D-index 116 Citations 42,172 504 World Ranking 12 National Ranking 1

Overview

What is he best known for?

The fields of study he is best known for:

  • Food science
  • Enzyme
  • Artificial intelligence

His main research concerns Hyperspectral imaging, Artificial intelligence, Food science, Quality and Remote sensing. His Hyperspectral imaging research is multidisciplinary, incorporating perspectives in Linear regression, Image processing, Near-infrared spectroscopy and Partial least squares regression, Analytical chemistry. His Linear regression study combines topics in areas such as Biological system, Multispectral image, Feature and Calibration.

His studies deal with areas such as Machine learning, Computer vision and Pattern recognition as well as Artificial intelligence. His Quality study integrates concerns from other disciplines, such as Food quality, Biochemical engineering, Marbled meat, Food industry and Process. The Remote sensing study combines topics in areas such as Pixel and Principal component analysis.

His most cited work include:

  • Improving quality inspection of food products by computer vision: a review (732 citations)
  • Recent developments in the applications of image processing techniques for food quality evaluation (453 citations)
  • Advanced applications of hyperspectral imaging technology for food quality and safety analysis and assessment: A review — Part II: Applications (368 citations)

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

Da-Wen Sun mainly investigates Hyperspectral imaging, Artificial intelligence, Food science, Analytical chemistry and Partial least squares regression. His study in Hyperspectral imaging is interdisciplinary in nature, drawing from both Quality, Biological system, Linear regression and Near-infrared spectroscopy. His Quality research is multidisciplinary, incorporating elements of Food quality, Food industry and Biochemical engineering.

His Artificial intelligence research includes elements of Computer vision and Pattern recognition. His work in Food science tackles topics such as Vacuum cooling which are related to areas like Cooling time. His Partial least squares regression research incorporates themes from Mean squared error, Coefficient of determination, Calibration and Moisture.

He most often published in these fields:

  • Hyperspectral imaging (49.35%)
  • Artificial intelligence (21.80%)
  • Food science (20.28%)

What were the highlights of his more recent work (between 2017-2021)?

  • Hyperspectral imaging (49.35%)
  • Detection limit (3.47%)
  • Food industry (8.03%)

In recent papers he was focusing on the following fields of study:

The scientist’s investigation covers issues in Hyperspectral imaging, Detection limit, Food industry, Raman spectroscopy and Food science. His study looks at the intersection of Hyperspectral imaging and topics like Partial least squares regression with Coefficient of determination. His Detection limit study which covers Raman scattering that intersects with Nanotechnology.

His biological study deals with issues like Quality, which deal with fields such as Biochemical engineering. Da-Wen Sun interconnects Nanoparticle and Colloidal gold in the investigation of issues within Raman spectroscopy. His study looks at the relationship between Food science and topics such as Moisture, which overlap with Microwave.

Between 2017 and 2021, his most popular works were:

  • Effects of freezing on cell structure of fresh cellular food materials: A review (87 citations)
  • Functionalization techniques for improving SERS substrates and their applications in food safety evaluation: A review of recent research trends (82 citations)
  • Surface enhanced Raman spectroscopy (SERS): A novel reliable technique for rapid detection of common harmful chemical residues (79 citations)

In his most recent research, the most cited papers focused on:

  • Enzyme
  • Food science
  • Organic chemistry

His primary scientific interests are in Detection limit, Raman spectroscopy, Food industry, Food quality and Biochemical engineering. Da-Wen Sun has researched Detection limit in several fields, including Surface-enhanced Raman spectroscopy and Substrate. His Food industry research incorporates elements of Emerging technologies, Fruits and vegetables, Microorganism, Food safety and Process engineering.

His work carried out in the field of Food quality brings together such families of science as Hyperspectral imaging, Active packaging, Food packaging and Chemometrics. His Hyperspectral imaging study contributes to a more complete understanding of Pattern recognition. His Biochemical engineering study combines topics from a wide range of disciplines, such as Quality, Food spoilage, Food processing and Fish products.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Improving quality inspection of food products by computer vision: a review

Tadhg Brosnan;Da-Wen Sun.
Journal of Food Engineering (2004)

1089 Citations

Recent developments in the applications of image processing techniques for food quality evaluation

Cheng-Jin Du;Da-Wen Sun.
Trends in Food Science and Technology (2004)

644 Citations

Near-infrared hyperspectral imaging for predicting colour, pH and tenderness of fresh beef

Gamal ElMasry;Da-Wen Sun;Paul Allen.
Journal of Food Engineering (2012)

601 Citations

Non-destructive prediction and visualization of chemical composition in lamb meat using NIR hyperspectral imaging and multivariate regression

Mohammed Kamruzzaman;Gamal Elmasry;Da Wen Sun;Paul Allen.
Innovative Food Science and Emerging Technologies (2012)

540 Citations

Novel methods for rapid freezing and thawing of foods - a review

Bing Li;Da-Wen Sun.
Journal of Food Engineering (2002)

526 Citations

Inspection and grading of agricultural and food products by computer vision systems—a review

Tadhg Brosnan;Da-Wen Sun.
Computers and Electronics in Agriculture (2002)

482 Citations

Hyperspectral imaging for food quality analysis and control

Da-Wen Sun.
(2010)

442 Citations

Colour measurements by computer vision for food quality control – A review

Di Wu;Da-Wen Sun.
Trends in Food Science and Technology (2013)

423 Citations

Computer vision technology for food quality evaluation

Da-Wen Sun.
(2008)

400 Citations

Computational fluid dynamics (CFD) ¿ an effective and efficient design and analysis tool for the food industry: A review

Tomás Norton;Da-Wen Sun.
Trends in Food Science and Technology (2006)

392 Citations

Best Scientists Citing Da-Wen Sun

Yong He

Yong He

Zhejiang University

Publications: 162

Min Zhang

Min Zhang

Jiangnan University

Publications: 120

Arun S. Mujumdar

Arun S. Mujumdar

McGill University

Publications: 60

Thijs Defraeye

Thijs Defraeye

Swiss Federal Laboratories for Materials Science and Technology

Publications: 55

Brijesh K. Tiwari

Brijesh K. Tiwari

Teagasc - The Irish Agriculture and Food Development Authority

Publications: 46

Di Wu

Di Wu

Northeast Agricultural University

Publications: 44

Patrick J. Cullen

Patrick J. Cullen

University of Sydney

Publications: 43

Colm P. O'Donnell

Colm P. O'Donnell

University College Dublin

Publications: 38

Quansheng Chen

Quansheng Chen

Jiangsu University

Publications: 37

Bhesh Bhandari

Bhesh Bhandari

University of Queensland

Publications: 36

Francisco J. Barba

Francisco J. Barba

University of Valencia

Publications: 35

Bart Nicolai

Bart Nicolai

KU Leuven

Publications: 35

José Blasco

José Blasco

University of Valencia

Publications: 32

Pieter Verboven

Pieter Verboven

KU Leuven

Publications: 32

Xiaoli Li

Xiaoli Li

Agency for Science, Technology and Research

Publications: 27

Haile Ma

Haile Ma

Jiangsu University

Publications: 25

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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