Ji Ma

Analytical Chemistry · Food and Bioprocess Technology · 2014–2019

A researcher in the Science corpus: 7 papers; trusts 6 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Analytical Chemistry — 78 citations into it; #818 of 1,254 by trust here, #382 by citations
• Animal Science and Zoology — 52 citations into it; #182 of 476 by trust here, #125 by citations
• Biomedical Engineering — 42 citations into it; #8,876 of 10,734 by trust here, #7,279 by citations
• Biophysics — 23 citations into it
• Food Science — 16 citations into it

Whom Ji Ma trusts overall

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

1. Da‐Wen Sun
2. Jun‐Hu Cheng
3. M. Kamruzzaman
4. Gamal ElMasry
5. Yuanyuan Pu
6. Di Wu
7. J. Qu
8. Hongbin Pu
9. Dan Liu
10. Qian Yang

Who trusts Ji Ma overall

1. Da‐Wen Sun
2. Hongbin Pu
3. Zhiwei Zhu

Papers from Ji Ma's perspective

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

1. On-line prediction of pH values in fresh pork using visible/near-infrared spectroscopy with wavelet de-noising and variable selection methods
2. Spectral imaging: Principles and applications (Cytometry Part A)
3. Singularity analysis of the vibration signals by means of wavelet modulus maximal method
4. Identification of wheat classes using wavelet features from near infrared hyperspectral images of bulk samples.
5. Near-infrared hyperspectral imaging for predicting colour, pH and tenderness of fresh beef
6. Least Squares Support Vector Machine Classifiers
7. Non-destructive determination of water-holding capacity in fresh beef by using NIR hyperspectral imaging
8. Prediction of beef quality attributes using VIS/NIR hyperspectral scattering imaging technique
9. Hyperspectral imaging – an emerging process analytical tool for food quality and safety control
10. Supervised Multivariate Analysis of Hyper-spectral NIR Images to Evaluate the Starch Index of Apples

Their papers

• Using Wavelet Textural Features of Visible and Near Infrared Hyperspectral Image to Differentiate Between Fresh and Frozen–Thawed Pork (2014) — 66 citations
• Protein content evaluation of processed pork meats based on a novel single shot (snapshot) hyperspectral imaging sensor (2019) — 58 citations
• Predicting intramuscular fat content variations in boiled pork muscles by hyperspectral imaging using a novel spectral pre-processing technique (2018) — 79 citations
• Prediction of textural changes in grass carp fillets as affected by vacuum freeze drying using hyperspectral imaging based on integrated group wavelengths (2017) — 109 citations
• Model improvement for predicting moisture content (MC) in pork longissimus dorsi muscles under diverse processing conditions by hyperspectral imaging (2017) — 87 citations
• Discrimination of shelled shrimp (Metapenaeus ensis) among fresh, frozen-thawed and cold-stored by hyperspectral imaging technique (2015) — 48 citations
• Application of Wavelet Analysis to Spectral Data for Categorization of Lamb Muscles (2014) — 83 citations