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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:

Prediction of some quality attributes of lamb meat using near-infrared hyperspectral imaging and multivariate analysis
Mohammed Kamruzzaman, Gamal ElMasry, Da‐Wen Sun, et al.
Analytica Chimica Acta (2011) Vol. 714, pp. 57-67
Closed Access | Times Cited: 300

Showing 1-25 of 300 citing articles:

Advanced applications of hyperspectral imaging technology for food quality and safety analysis and assessment: A review — Part II: Applications
Di Wu, Da‐Wen Sun
Innovative Food Science & Emerging Technologies (2013) Vol. 19, pp. 15-28
Closed Access | Times Cited: 468
Recent Advances in Wavelength Selection Techniques for Hyperspectral Image Processing in the Food Industry
Dan Liŭ, Da‐Wen Sun, Xin‐An Zeng
Food and Bioprocess Technology (2013) Vol. 7, Iss. 2, pp. 307-323
Closed Access | Times Cited: 362
Recent Developments in Hyperspectral Imaging for Assessment of Food Quality and Safety
Hui Huang, Li Liu, Michael Ngadi
Sensors (2014) Vol. 14, Iss. 4, pp. 7248-7276
Open Access | Times Cited: 302
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, et al.
Innovative Food Science & Emerging Technologies (2012) Vol. 16, pp. 218-226
Closed Access | Times Cited: 262
Non-destructive prediction of thiobarbituricacid reactive substances (TBARS) value for freshness evaluation of chicken meat using hyperspectral imaging
Zhenjie Xiong, Da‐Wen Sun, Hongbin Pu, et al.
Food Chemistry (2015) Vol. 179, pp. 175-181
Closed Access | Times Cited: 219
Non-destructive assessment of instrumental and sensory tenderness of lamb meat using NIR hyperspectral imaging
Mohammed Kamruzzaman, Gamal ElMasry, Da‐Wen Sun, et al.
Food Chemistry (2013) Vol. 141, Iss. 1, pp. 389-396
Closed Access | Times Cited: 213
Potential of time series-hyperspectral imaging (TS-HSI) for non-invasive determination of microbial spoilage of salmon flesh
Di Wu, Da‐Wen Sun
Talanta (2013) Vol. 111, pp. 39-46
Closed Access | Times Cited: 212
Partial Least Squares Regression (PLSR) Applied to NIR and HSI Spectral Data Modeling to Predict Chemical Properties of Fish Muscle
Jun‐Hu Cheng, Da‐Wen Sun
Food Engineering Reviews (2016) Vol. 9, Iss. 1, pp. 36-49
Closed Access | Times Cited: 202
Applications of Near-infrared Spectroscopy in Food Safety Evaluation and Control: A Review of Recent Research Advances
Jia-Huan Qu, Dan Liŭ, Jun‐Hu Cheng, et al.
Critical Reviews in Food Science and Nutrition (2014) Vol. 55, Iss. 13, pp. 1939-1954
Closed Access | Times Cited: 195
Rapid and non-destructive detection of chicken adulteration in minced beef using visible near-infrared hyperspectral imaging and machine learning
Mohammed Kamruzzaman, Yoshio Makino, Seiichi Oshita
Journal of Food Engineering (2015) Vol. 170, pp. 8-15
Closed Access | Times Cited: 193
Development of simplified models for nondestructive hyperspectral imaging monitoring of TVB-N contents in cured meat during drying process
Qian Yang, Da‐Wen Sun, Weiwei Cheng
Journal of Food Engineering (2016) Vol. 192, pp. 53-60
Closed Access | Times Cited: 188
Recent Progress of Hyperspectral Imaging on Quality and Safety Inspection of Fruits and Vegetables: A Review
Yuanyuan Pu, Y. X. Feng, Da‐Wen Sun
Comprehensive Reviews in Food Science and Food Safety (2015) Vol. 14, Iss. 2, pp. 176-188
Closed Access | Times Cited: 182
Rapid and noninvasive sensory analyses of food products by hyperspectral imaging: Recent application developments
Gözde Özdoğan, Xiaohui Lin, Da‐Wen Sun
Trends in Food Science & Technology (2021) Vol. 111, pp. 151-165
Open Access | Times Cited: 149
Fast detection and visualization of minced lamb meat adulteration using NIR hyperspectral imaging and multivariate image analysis
Mohammed Kamruzzaman, Da‐Wen Sun, Gamal ElMasry, et al.
Talanta (2012) Vol. 103, pp. 130-136
Closed Access | Times Cited: 200
Chemical-free assessment and mapping of major constituents in beef using hyperspectral imaging
Gamal ElMasry, Da‐Wen Sun, Paul Allen
Journal of Food Engineering (2013) Vol. 117, Iss. 2, pp. 235-246
Closed Access | Times Cited: 199
Near-infrared hyperspectral imaging and partial least squares regression for rapid and reagentless determination of Enterobacteriaceae on chicken fillets
Y. X. Feng, Gamal ElMasry, Da‐Wen Sun, et al.
Food Chemistry (2012) Vol. 138, Iss. 2-3, pp. 1829-1836
Closed Access | Times Cited: 189
Application of long-wave near infrared hyperspectral imaging for measurement of color distribution in salmon fillet
Di Wu, Da‐Wen Sun, Yong He
Innovative Food Science & Emerging Technologies (2012) Vol. 16, pp. 361-372
Closed Access | Times Cited: 179
Near-infrared hyperspectral imaging in tandem with partial least squares regression and genetic algorithm for non-destructive determination and visualization of Pseudomonas loads in chicken fillets
Y. X. Feng, Da‐Wen Sun
Talanta (2013) Vol. 109, pp. 74-83
Closed Access | Times Cited: 173
Classification of fresh and frozen-thawed pork muscles using visible and near infrared hyperspectral imaging and textural analysis
Hongbin Pu, Da‐Wen Sun, Ji Ma, et al.
Meat Science (2014) Vol. 99, pp. 81-88
Closed Access | Times Cited: 172
Nondestructive detection of total volatile basic nitrogen (TVB-N) content in pork meat by integrating hyperspectral imaging and colorimetric sensor combined with a nonlinear data fusion
Huanhuan Li, Quansheng Chen, Jiewen Zhao, et al.
LWT (2015) Vol. 63, Iss. 1, pp. 268-274
Closed Access | Times Cited: 165
Image analysis operations applied to hyperspectral images for non-invasive sensing of food quality – A comprehensive review
Gamal ElMasry, Shigeki Nakauchi
Biosystems Engineering (2016) Vol. 142, pp. 53-82
Closed Access | Times Cited: 160
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
Selection of feature wavelengths for developing multispectral imaging systems for quality, safety and authenticity of muscle foods-a review
Hongbin Pu, Mohammed Kamruzzaman, Da‐Wen Sun
Trends in Food Science & Technology (2015) Vol. 45, Iss. 1, pp. 86-104
Closed Access | Times Cited: 155
Detection of early blight and late blight diseases on tomato leaves using hyperspectral imaging
Chuanqi Xie, Yongni Shao, Xiaoli Li, et al.
Scientific Reports (2015) Vol. 5, Iss. 1
Open Access | Times Cited: 154
Rapid detection of total viable count (TVC) in pork meat by hyperspectral imaging
Lin Huang, Jiewen Zhao, Quansheng Chen, et al.
Food Research International (2013) Vol. 54, Iss. 1, pp. 821-828
Closed Access | Times Cited: 148
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