Jitendra Paliwal

Analytical Chemistry · 2004–2020

A researcher in the Science corpus: 14 papers; trusts 6 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Analytical Chemistry — 55 citations into it; #248 of 1,254 by trust here, #85 by citations
• Plant Science — 15 citations into it; #7,981 of 8,232 by trust here, #3,839 by citations
• Biophysics — 14 citations into it; #324 of 1,196 by trust here, #411 by citations
• Statistics and Probability — 9 citations into it
• Industrial and Manufacturing Engineering — 8 citations into it

Whom Jitendra Paliwal trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. S. Mahesh
2. Paul Geladi
3. C. Singh
4. Digvir S. Jayas
5. J. C. Neto
6. Renfu Lu

Who trusts Jitendra Paliwal overall

1. S. Mahesh
2. Da‐Wen Sun
3. Lu Wang
4. Yaoze Feng
5. D. Saha
6. Digvir S. Jayas
7. Hui Huang

Papers from Jitendra Paliwal's perspective

Ordered by how strongly the researchers Jitendra Paliwal trusts endorse each paper. Same corpus, a different order for every researcher.

1. Feasibility of near-infrared hyperspectral imaging to differentiate Canadian wheat classes
2. Multivariate calibration. (Journal of Chromatography A)
3. Determining Vitreousness of Durum Wheat Kernels Using near Infrared Hyperspectral Imaging
4. Identification of wheat classes at different moisture levels using near-infrared hyperspectral images of bulk samples
5. Detection of fungal contamination of cereal grain samples by an electronic nose
6. Assessment of soft X-ray imaging for detection of fungal infection in wheat
7. Imaging spectroscopy using tunable filters: a review (SPIE Defense + Commercial Sensing)
8. Plant species identification using Elliptic Fourier leaf shape analysis
9. Quantitative evaluation of Tarocco sweet orange fruit shape using optoelectronic elliptic Fourier based analysis
10. Shape analysis of grains of Indian wheat varieties

Their papers

• Identification of wheat classes using wavelet features from near infrared hyperspectral images of bulk samples. (2009) — 106 citations
• Classification of Fungal Infected Wheat Kernels Using Near-Infrared Reflectance Hyperspectral Imaging and Support Vector Machine (2007) — 65 citations
• Feasibility of near-infrared hyperspectral imaging to differentiate Canadian wheat classes (2008) — 167 citations
• Identification of wheat classes at different moisture levels using near-infrared hyperspectral images of bulk samples (2011) — 57 citations
• Early detection of chilling injury in green bell peppers by hyperspectral imaging and chemometrics (2020) — 56 citations
• Single kernel wheat hardness estimation using near infrared hyperspectral imaging (2019) — 52 citations
• Discrimination of gluten-free oats from contaminants using near infrared hyperspectral imaging technique (2017) — 65 citations
• Comparison of Partial Least Squares Regression (PLSR) and Principal Components Regression (PCR) Methods for Protein and Hardness Predictions using the Near-Infrared (NIR) Hyperspectral Images of Bulk Samples of Canadian Wheat (2014) — 126 citations
• Evaluation of variations in the shape of grain types using principal components analysis of the elliptic Fourier descriptors (2012) — 69 citations
• Fungal Damage Detection in Wheat Using Short-Wave Near-Infrared Hyperspectral and Digital Colour Imaging (2012) — 79 citations
• Detection of midge-damaged wheat kernels using short-wave near-infrared hyperspectral and digital colour imaging (2010) — 47 citations
• Identification of insect-damaged wheat kernels using short-wave near-infrared hyperspectral and digital colour imaging (2010) — 164 citations
• Detection of insect-damaged wheat kernels using near-infrared hyperspectral imaging (2009) — 216 citations
• Classification of cereal grains using a flatbed scanner (2004) — 50 citations