Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Monitoring strategies for quality control of agricultural products using visible and near-infrared spectroscopy: A review
Victoria Cortés, J. Blasco, Nuria Aleixos, et al.
Trends in Food Science & Technology (2019) Vol. 85, pp. 138-148
Open Access | Times Cited: 270

Showing 1-25 of 270 citing articles:

Visible-NIR ‘point’ spectroscopy in postharvest fruit and vegetable assessment: The science behind three decades of commercial use
Kerry B. Walsh, J. Blasco, Manuela Zude-Sasse, et al.
Postharvest Biology and Technology (2020) Vol. 168, pp. 111246-111246
Open Access | Times Cited: 331
Quantitative detection of apple watercore and soluble solids content by near infrared transmittance spectroscopy
Zhiming Guo, Mingming Wang, Akwasi Akomeah Agyekum, et al.
Journal of Food Engineering (2020) Vol. 279, pp. 109955-109955
Open Access | Times Cited: 178
Application of Artificial Intelligence in Food Industry—a Guideline
Nidhi Rajesh Mavani, Jarinah Mohd Ali, Suhaili Othman, et al.
Food Engineering Reviews (2021) Vol. 14, Iss. 1, pp. 134-175
Open Access | Times Cited: 176
Trends and challenges on fruit and vegetable processing: Insights into sustainable, traceable, precise, healthy, intelligent, personalized and local innovative food products
Xuwei Liu, Carine Le Bourvellec, Jiahao Yu, et al.
Trends in Food Science & Technology (2022) Vol. 125, pp. 12-25
Open Access | Times Cited: 84
New approach for rapid estimation of leaf nitrogen, phosphorus, and potassium contents in apple-trees using Vis/NIR spectroscopy based on wavelength selection coupled with machine learning
Rahim Azadnia, Ali Rajabipour, Bahareh Jamshidi, et al.
Computers and Electronics in Agriculture (2023) Vol. 207, pp. 107746-107746
Closed Access | Times Cited: 60
A broadband hyperspectral image sensor with high spatio-temporal resolution
Liheng Bian, Zhen Wang, Yuzhe Zhang, et al.
Nature (2024) Vol. 635, Iss. 8037, pp. 73-81
Open Access | Times Cited: 25
Advanced chemometrics toward robust spectral analysis for fruit quality evaluation
Xiaolei Zhang, Jie Yang
Trends in Food Science & Technology (2024) Vol. 150, pp. 104612-104612
Closed Access | Times Cited: 20
Online monitoring of water quality in industrial wastewater treatment process based on near-infrared spectroscopy
Cheng Peng, Zeming Wu, Shudi Zhang, et al.
Water Research (2025) Vol. 275, pp. 123165-123165
Closed Access | Times Cited: 3
Emerging design strategies for constructing multiplex lateral flow test strip sensors
Yuhao Wu, Yaofeng Zhou, Yuankui Leng, et al.
Biosensors and Bioelectronics (2020) Vol. 157, pp. 112168-112168
Closed Access | Times Cited: 108
The Ability of Near Infrared (NIR) Spectroscopy to Predict Functional Properties in Foods: Challenges and Opportunities
Daniel Cozzolino
Molecules (2021) Vol. 26, Iss. 22, pp. 6981-6981
Open Access | Times Cited: 67
Application of near-infrared spectroscopy for the nondestructive analysis of wheat flour: A review
Shun Zhang, Shuliang Liu, Li Shen, et al.
Current Research in Food Science (2022) Vol. 5, pp. 1305-1312
Open Access | Times Cited: 52
Advantages, Opportunities, and Challenges of Vibrational Spectroscopy as Tool to Monitor Sustainable Food Systems
Daniel Cozzolino
Food Analytical Methods (2022) Vol. 15, Iss. 5, pp. 1390-1396
Closed Access | Times Cited: 50
Quantitative detection of zearalenone in wheat grains based on near-infrared spectroscopy
Hongwei Ning, Jiawei Wang, Hui Jiang, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2022) Vol. 280, pp. 121545-121545
Closed Access | Times Cited: 46
Recent advancements in NIR spectroscopy for assessing the quality and safety of horticultural products: A comprehensive review
R. Pandiselvam, V. Prithviraj, M. R. Manikantan, et al.
Frontiers in Nutrition (2022) Vol. 9
Open Access | Times Cited: 41
Identification of geographical origins of Radix Paeoniae Alba using hyperspectral imaging with deep learning-based fusion approaches
Zeyi Cai, Zihong Huang, Mengyu He, et al.
Food Chemistry (2023) Vol. 422, pp. 136169-136169
Closed Access | Times Cited: 39
Analyzing the Quality Parameters of Apples by Spectroscopy from Vis/NIR to NIR Region: A Comprehensive Review
Justyna Grabska, Krzysztof B. Beć, Nami Ueno, et al.
Foods (2023) Vol. 12, Iss. 10, pp. 1946-1946
Open Access | Times Cited: 39
Evaluation of the optical layout and sample size on online detection of apple watercore and SSC using Vis/NIR spectroscopy
Chang Han, Yin Jifan, Hao Tian, et al.
Journal of Food Composition and Analysis (2023) Vol. 123, pp. 105528-105528
Closed Access | Times Cited: 29
Non-destructive assessment of 'Fino' lemon quality through ripening using NIRS and chemometric analysis
Vicente Serna‐Escolano, María José Giménez, P.J. Zapata, et al.
Postharvest Biology and Technology (2024) Vol. 212, pp. 112870-112870
Closed Access | Times Cited: 11
Improving the detection accuracy of the dual SERS aptasensor system with uncontrollable SERS “hot spot” using machine learning tools
Junlin Chen, Hong Lin, Minqiang Guo, et al.
Analytica Chimica Acta (2024) Vol. 1307, pp. 342631-342631
Closed Access | Times Cited: 11
Recent advances of artificial intelligence in quantitative analysis of food quality and safety indicators: a review
Lunzhao Yi, Wenfu Wang, Yuhua Diao, et al.
TrAC Trends in Analytical Chemistry (2024) Vol. 180, pp. 117944-117944
Closed Access | Times Cited: 11
Improving SSC detection accuracy of cherry tomatoes by feature synergy and complementary spectral bands combination
Yuanhao Zheng, Penghui Liu, Yingjie Zheng, et al.
Postharvest Biology and Technology (2024) Vol. 213, pp. 112922-112922
Closed Access | Times Cited: 9
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 | Times Cited: 1
Geographical Origin Identification of Chinese Red Jujube Using Near-Infrared Spectroscopy and Adaboost-CLDA
Xiaohong Wu, Z. Yang, Yanhua Yang, et al.
Foods (2025) Vol. 14, Iss. 5, pp. 803-803
Open Access | Times Cited: 1
Non-destructive determination of color, titratable acidity, and dry matter in intact tomatoes using a portable Vis-NIR spectrometer
Annelisa Arruda de Brito, Fernanda Campos, Abadia dos Reis Nascimento, et al.
Journal of Food Composition and Analysis (2021) Vol. 107, pp. 104288-104288
Open Access | Times Cited: 44
Recent advances and development of postharvest management research for fresh jujube fruit: A review
Jinfeng Dou, Xiaohong Kou, Caie Wu, et al.
Scientia Horticulturae (2022) Vol. 310, pp. 111769-111769
Closed Access | Times Cited: 38
Page 1 - Next Page

Scroll to top