M. Kamruzzaman
Analytical Chemistry · Food and Bioprocess Technology · 2011–2016
A researcher in the Science corpus: 6 papers; trusts 11 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Analytical Chemistry — 71 citations into it; #351 of 1,254 by trust here, #95 by citations
- Animal Science and Zoology — 30 citations into it; #72 of 476 by trust here, #67 by citations
- Biomedical Engineering — 25 citations into it; #4,146 of 10,734 by trust here, #3,134 by citations
- Biophysics — 18 citations into it; #1,133 of 1,196 by trust here, #616 by citations
- Plant Science — 8 citations into it
- Industrial and Manufacturing Engineering — 7 citations into it
Whom M. Kamruzzaman trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Gamal ElMasry
- Da‐Wen Sun
- Renfu Lu
- Paul Geladi
- D. P. Ariana
- J. Xing
- Paul Allen
- Vladimir Cherkassky
- Paolo Menesatti
- Jianwei Qin
Who trusts M. Kamruzzaman overall
- Da‐Wen Sun
- Hongbin Pu
- Ahmed M. Rady
- Lu Wang
- Ji Ma
- Jun‐Hu Cheng
- A. Adedeji
- Wen-Hao Su
- Hui Huang
- Yoshio Makino
Papers from M. Kamruzzaman's perspective
Ordered by how strongly the researchers M. Kamruzzaman trusts endorse each paper. Same corpus, a different order for every researcher.
- Detection of citrus canker using hyperspectral reflectance imaging with spectral information divergence
- Detection of bruises on apples using near-infrared hyperspectral imaging
- Non-destructive measurement of bitter pit in apple fruit using NIR hyperspectral imaging
- Multispectral detection of fecal contamination on apples based on hyperspectral imagery: Part II. Application of hyperspectral fluorescence imaging
- Near-infrared hyperspectral reflectance imaging for detection of bruises on pickling cucumbers (Computers and Electronics in Agriculture)
- Hyperspectral imaging for nondestructive determination of some quality attributes for strawberry
- Machine vision technology for agricultural applications
- Hyperspectral imaging for the investigation of quality deterioration in sliced mushrooms (Agaricus bisporus) during storage
- Supervised Multivariate Analysis of Hyper-spectral NIR Images to Evaluate the Starch Index of Apples
- Chemometrics in spectroscopy. Part 1. Classical chemometrics
Their papers
- Application of NIR hyperspectral imaging for discrimination of lamb muscles (2011) — 239 citations
- Principles and Applications of Hyperspectral Imaging in Quality Evaluation of Agro-Food Products: A Review (2012) — 440 citations
- Assessment of Visible Near-Infrared Hyperspectral Imaging as a Tool for Detection of Horsemeat Adulteration in Minced Beef (2015) — 139 citations
- Rapid and non-destructive detection of chicken adulteration in minced beef using visible near-infrared hyperspectral imaging and machine learning (2016) — 194 citations
- Hyperspectral imaging for real-time monitoring of water holding capacity in red meat (2016) — 84 citations
- Application of Wavelet Analysis to Spectral Data for Categorization of Lamb Muscles (2014) — 83 citations