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:
Visible/near-infrared Spectroscopy and Hyperspectral Imaging Facilitate the Rapid Determination of Soluble Solids Content in Fruits
Yiying Zhao, Lei Zhou, Wei Wang, et al.
Food Engineering Reviews (2024) Vol. 16, Iss. 3, pp. 470-496
Closed Access | Times Cited: 7
Yiying Zhao, Lei Zhou, Wei Wang, et al.
Food Engineering Reviews (2024) Vol. 16, Iss. 3, pp. 470-496
Closed Access | Times Cited: 7
Showing 7 citing articles:
Hyperspectral Imaging Aiding Artificial Intelligence: A Reliable Approach for Food Qualification and Safety
Mehrad Nikzadfar, Mahdi Rashvand, Hongwei Zhang, et al.
Applied Sciences (2024) Vol. 14, Iss. 21, pp. 9821-9821
Open Access | Times Cited: 7
Mehrad Nikzadfar, Mahdi Rashvand, Hongwei Zhang, et al.
Applied Sciences (2024) Vol. 14, Iss. 21, pp. 9821-9821
Open Access | Times Cited: 7
Prediction of Total Soluble Solids in Apricot Using Adaptive Boosting Ensemble Model Combined with NIR and High-Frequency UVE-Selected Variables
Feng Gao, Yage Xing, Jialong Li, et al.
Molecules (2025) Vol. 30, Iss. 7, pp. 1543-1543
Open Access
Feng Gao, Yage Xing, Jialong Li, et al.
Molecules (2025) Vol. 30, Iss. 7, pp. 1543-1543
Open Access
Detection of soluble solid content in citrus fruit using near-infrared spectroscopy with machine learning regression: an exploration of the influence of sampling positions
Yuxin Xiao, Cheng Li, Jin Chen, et al.
Journal of Food Composition and Analysis (2025), pp. 107554-107554
Closed Access
Yuxin Xiao, Cheng Li, Jin Chen, et al.
Journal of Food Composition and Analysis (2025), pp. 107554-107554
Closed Access
Exploring the impact of lenticels on the detection of soluble solids content in apples and pears using hyperspectral imaging and one-dimensional convolutional neural networks
Zhenjie Wang, J. H. Wang, Weijie Lan, et al.
Food Research International (2025) Vol. 205, pp. 115960-115960
Closed Access
Zhenjie Wang, J. H. Wang, Weijie Lan, et al.
Food Research International (2025) Vol. 205, pp. 115960-115960
Closed Access
Non-destructive Near-infrared Hyperspectral Imaging in Food Technologies with a Focus on Monitoring Seed Viability
Nadège Aurelie N’dri-Aya, I. Vroh‐Bi
International Journal of Current Science Research and Review (2024) Vol. 07, Iss. 05
Open Access | Times Cited: 2
Nadège Aurelie N’dri-Aya, I. Vroh‐Bi
International Journal of Current Science Research and Review (2024) Vol. 07, Iss. 05
Open Access | Times Cited: 2
Success and failure in mayonnaise preparation in the kitchen
Mahdiyeh Ghaffari, Arjen Bot, Rogier Brussee, et al.
Physics of Fluids (2024) Vol. 36, Iss. 12
Closed Access
Mahdiyeh Ghaffari, Arjen Bot, Rogier Brussee, et al.
Physics of Fluids (2024) Vol. 36, Iss. 12
Closed Access
Research on the Method of Imperfect Wheat Grain Recognition Utilizing Hyperspectral Imaging Technology
H. Zhang, Zheng Li, Lian Tan, et al.
Sensors (2024) Vol. 24, Iss. 19, pp. 6474-6474
Open Access
H. Zhang, Zheng Li, Lian Tan, et al.
Sensors (2024) Vol. 24, Iss. 19, pp. 6474-6474
Open Access
