OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Predicting beef cuts composition, fatty acids and meat quality characteristics by spiral computed tomography
N. Prieto, E.A. Navajas, R.I. Richardson, et al.
Meat Science (2010) Vol. 86, Iss. 3, pp. 770-779
Closed Access | Times Cited: 54

Showing 1-25 of 54 citing articles:

Recent developments of hyperspectral imaging systems and their applications in detecting quality attributes of red meats: A review
Zhenjie Xiong, Da‐Wen Sun, Xin‐An Zeng, et al.
Journal of Food Engineering (2014) Vol. 132, pp. 1-13
Closed Access | Times Cited: 156

Outcome and value of reverse shoulder arthroplasty for treatment of glenohumeral osteoarthritis: a matched cohort
Brandon Steen, Andres F. Cabezas, Brandon G. Santoni, et al.
Journal of Shoulder and Elbow Surgery (2015) Vol. 24, Iss. 9, pp. 1433-1441
Closed Access | Times Cited: 107

Marbling Analysis for Evaluating Meat Quality: Methods and Techniques
Weiwei Cheng, Jun‐Hu Cheng, Da‐Wen Sun, et al.
Comprehensive Reviews in Food Science and Food Safety (2015) Vol. 14, Iss. 5, pp. 523-535
Closed Access | Times Cited: 96

X‐ray computed tomography for quality inspection of agricultural products: A review
Zhe Du, Yongguang Hu, Noman Ali Buttar, et al.
Food Science & Nutrition (2019) Vol. 7, Iss. 10, pp. 3146-3160
Open Access | Times Cited: 82

Non-Destructive Techniques for the Analysis and Evaluation of Meat Quality and Safety: A Review
Xiaohong Wu, Xinyue Liang, Yixuan Wang, et al.
Foods (2022) Vol. 11, Iss. 22, pp. 3713-3713
Open Access | Times Cited: 39

Applications of emerging imaging techniques for meat quality and safety detection and evaluation: A review
Zhenjie Xiong, Da‐Wen Sun, Hongbin Pu, et al.
Critical Reviews in Food Science and Nutrition (2015) Vol. 57, Iss. 4, pp. 755-768
Closed Access | Times Cited: 78

Emerging nondestructive techniques for the quality and safety evaluation of pork and beef: Recent advances, challenges, and future perspectives
Philip Donald C. Sanchez, Honey Beth T. Arogancia, Kenneth M. Boyles, et al.
Applied Food Research (2022) Vol. 2, Iss. 2, pp. 100147-100147
Open Access | Times Cited: 31

The application of computer vision systems in meat science and industry – A review
Monika Modzelewska‐Kapituła, Soojin Jun
Meat Science (2022) Vol. 192, pp. 108904-108904
Closed Access | Times Cited: 29

Application of Visible Hyperspectral Imaging for Prediction of Springiness of Fresh Chicken Meat
Zhenjie Xiong, Da‐Wen Sun, Qiong Dai, et al.
Food Analytical Methods (2014) Vol. 8, Iss. 2, pp. 380-391
Closed Access | Times Cited: 58

Prediction of marbling score in ribeye quartered at the 5th- 6th rib of French beef using the Q-FOM™ beef assessment camera
Nathalia da Silva Rodrigues Mendes, Mette Christensen, Moïse Kombolo‐Ngah, et al.
Meat Science (2025) Vol. 222, pp. 109759-109759
Open Access

In vivo estimation of chicken breast and thigh muscle weights using multi-atlas-based elastic registration on computed tomography images
Ádám Csóka, Shelley Simon, Tamás Péter Farkas, et al.
British Poultry Science (2025), pp. 1-7
Closed Access

Prediction of intramuscular fat content using CT scanning of packaged lamb cuts and relationships with meat eating quality
N.R. Lambe, K.A. McLean, J. G. Gordon, et al.
Meat Science (2016) Vol. 123, pp. 112-119
Closed Access | Times Cited: 45

Review: Beef-eating quality: a European journey
L.J. Farmer, D.T. Farrell
animal (2018) Vol. 12, Iss. 11, pp. 2424-2433
Open Access | Times Cited: 39

Microbiome-driven breeding strategy potentially improves beef fatty acid profile benefiting human health and reduces methane emissions
Marina Martínez-Álvaro, Jennifer Mattock, Marc Auffret, et al.
Microbiome (2022) Vol. 10, Iss. 1
Open Access | Times Cited: 17

Use of linear regression and partial least square regression to predict intramuscular fat of pig loin computed tomography images
Maria Font‐i‐Furnols, Albert Brun, Núria Tous, et al.
Chemometrics and Intelligent Laboratory Systems (2013) Vol. 122, pp. 58-64
Closed Access | Times Cited: 35

X-ray phase-contrast tomography of porcine fat and rind
Torben Haugaard Jensen, Arvid Böttiger, Martin Bech, et al.
Meat Science (2011) Vol. 88, Iss. 3, pp. 379-383
Closed Access | Times Cited: 32

An intelligent machine vision-based smartphone app for beef quality evaluation
Soleiman Hosseinpour, Ali Hakimi Ilkhchi, Mortaza Aghbashlo
Journal of Food Engineering (2018) Vol. 248, pp. 9-22
Closed Access | Times Cited: 26

Effects of low protein diets on pigs with a lean genotype 2. Compositional traits measured with computed tomography (CT)
N.R. Lambe, J. D. Wood, K.A. McLean, et al.
Meat Science (2013) Vol. 95, Iss. 1, pp. 129-136
Closed Access | Times Cited: 23

Reduced age at slaughter in youthful beef cattle: Effects on carcass merit traits
Ó. López-Campos, J. A. Basarab, V. S. Baron, et al.
Canadian Journal of Animal Science (2012) Vol. 92, Iss. 4, pp. 449-463
Closed Access | Times Cited: 21

Computed tomography has improved precision for prediction of intramuscular fat percent in the M. longissimus thoracis et lumborum in cattle compared to manual grading
F. Anderson, J. E. Cook, A. Williams, et al.
Meat Science (2018) Vol. 145, pp. 425-430
Closed Access | Times Cited: 18

Live animal predictions of carcass components and marble score in beef cattle: model development and evaluation
M. J. McPhee, B. J. Walmsley, James Dougherty, et al.
animal (2020) Vol. 14, pp. s396-s405
Open Access | Times Cited: 13

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