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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:

A Rapid Screening Approach for Authentication of Olive Oil and Classification of Binary Blends of Olive Oils Using Low-Field Nuclear Magnetic Resonance Spectra and Support Vector Machine
Xin Wang, Guangli Wang, Xuewen Hou, et al.
Food Analytical Methods (2020) Vol. 13, Iss. 10, pp. 1894-1905
Closed Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Application, challenges and future prospects of recent nondestructive techniques based on the electromagnetic spectrum in food quality and safety
Rafieh Fakhlaei, Arman Amani Babadi, Sun Chunjun, et al.
Food Chemistry (2024) Vol. 441, pp. 138402-138402
Closed Access | Times Cited: 18
A review of artificial intelligence methods combined with Raman spectroscopy to identify the composition of substances
Liangrui Pan, Peng Zhang, Chalongrat Daengngam, et al.
Journal of Raman Spectroscopy (2021) Vol. 53, Iss. 1, pp. 6-19
Open Access | Times Cited: 69
Advanced process analytical tools for identification of adulterants in edible oils – A review
E.J. Rifna, R. Pandiselvam, Anjineyulu Kothakota, et al.
Food Chemistry (2021) Vol. 369, pp. 130898-130898
Closed Access | Times Cited: 67
Nuclear magnetic resonance spectroscopy in extra virgin olive oil authentication
Valentina Maestrello, Pavel Solovyev, Luana Bontempo, et al.
Comprehensive Reviews in Food Science and Food Safety (2022) Vol. 21, Iss. 5, pp. 4056-4075
Closed Access | Times Cited: 43
Recent methods in detection of olive oil adulteration: State-of- the-Art
Fataneh Hashempour‐Baltork, Somaye Vali Zade, Yeganeh Mazaheri, et al.
Journal of Agriculture and Food Research (2024) Vol. 16, pp. 101123-101123
Open Access | Times Cited: 10
Metabolomics for tea authentication and fraud detection: Recent applications and future directions
Hui Tan, Weibiao Zhou
Trends in Food Science & Technology (2024) Vol. 149, pp. 104558-104558
Closed Access | Times Cited: 9
A classification and identification model of extra virgin olive oil adulterated with other edible oils based on pigment compositions and support vector machine
Cong‐Hui Lu, Baoqiong Li, Quan Jing, et al.
Food Chemistry (2023) Vol. 420, pp. 136161-136161
Closed Access | Times Cited: 15
Identification of oil authenticity and adulteration using deep long short-term memory-based neural network with seagull optimization algorithm
V. Surya, A. Senthilselvi
Neural Computing and Applications (2022) Vol. 34, Iss. 10, pp. 7611-7625
Closed Access | Times Cited: 22
Application of nuclear magnetic resonance in food analysis
Qian QU, Lan Jin
Food Science and Technology (2022) Vol. 42
Open Access | Times Cited: 21
A Methodology Study on the Optimal Detection of Oil and Moisture Content in Soybeans Using LF-NMR and Its 2D T1-T2 Nuclear Magnetic Technology
Y. Zhang, Jianxiang Zhao, Ying Gu, et al.
Agronomy (2023) Vol. 13, Iss. 4, pp. 1102-1102
Open Access | Times Cited: 11
Incorporating Random Tree Statistical Learning Classifier to Authenticate PDO Kalamata Olive Oil Blended with Aigialeia Olive Oil from the Geographic Region of Peloponnese in Greece
Theodoros Anagnostopoulos, Ioakim K. Spiliopoulos, Chara Kottara
WSEAS TRANSACTIONS ON ENVIRONMENT AND DEVELOPMENT (2025) Vol. 21, pp. 127-136
Open Access
Stepwise strategy based on 1H-NMR fingerprinting in combination with chemometrics to determine the content of vegetable oils in olive oil mixtures
Rosa M. Alonso‐Salces, Luis Á. Berrueta, Beatriz Quintanilla‐Casas, et al.
Food Chemistry (2021) Vol. 366, pp. 130588-130588
Open Access | Times Cited: 26
Chemometrics analysis of camellia oil authenticity using LF NMR and fatty acid GC fingerprints
Bokai Hu, Dongya Zhang, Yangyang Geng, et al.
Journal of Food Composition and Analysis (2024) Vol. 133, pp. 106447-106447
Closed Access | Times Cited: 3
Rapid Identification of Adulteration in Edible Vegetable Oils Based on Low-Field Nuclear Magnetic Resonance Relaxation Fingerprints
Zhiming Huang, Jia‐Xiang Xin, Shanshan Sun, et al.
Foods (2021) Vol. 10, Iss. 12, pp. 3068-3068
Open Access | Times Cited: 20
Mitigating instrument effects in 60 MHz 1H NMR spectroscopy for authenticity screening of edible oils
Yvonne Gunning, Fouad Taous, Tibari El Ghali, et al.
Food Chemistry (2021) Vol. 370, pp. 131333-131333
Open Access | Times Cited: 16
Discrimination of pressed sesame oil: A comparison study of non-targeted UV spectral fingerprints combined with different chemometric methods
Dongmin Wang, Yuxin Liu, Jiahui Qian, et al.
Grain & Oil Science and Technology (2024)
Open Access | Times Cited: 2
Rapid and sensitive detection of Bisphenol A in water by LF-NMR based on magnetic relaxation switch sensor
Lei Huang, Xin Wang
Microchemical Journal (2020) Vol. 163, pp. 105911-105911
Closed Access | Times Cited: 13
Identification and Quantification of Common Adulterants in Extra Virgin Olive Oil Using Microwave Dielectric Spectroscopy Aided by Feedforward Neural Networks
J. Alarcon, Mateus I. O. Souza, Vinícius M. Pepino, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 19, pp. 29985-29995
Closed Access | Times Cited: 1
Recent Advances in Analytical Detection of Olive Oil Adulteration
Jingyao Zhang, Huiyue Sun, Weiying Lu
ACS Food Science & Technology (2021) Vol. 2, Iss. 3, pp. 415-424
Closed Access | Times Cited: 7
Effects of Consuming Repeatedly Heated Edible Oils on Cardiovascular Diseases: A Narrative Review
Prathyusha Soundararajan, Srividya Parthasarathy, Meenakumari Sakthivelu, et al.
Current Medicinal Chemistry (2023) Vol. 31, Iss. 40, pp. 6630-6648
Closed Access | Times Cited: 2
Modelling Polyphenol Extraction through Ultrasound-Assisted Extraction by Machine Learning in Olea europaea Leaves
Raquel Rodríguez‐Fernández, Ángela Fernández-Gómez, J. C. Mejuto, et al.
Foods (2023) Vol. 12, Iss. 24, pp. 4483-4483
Open Access | Times Cited: 2
The chromatographic similarity profile – An innovative methodology to detect fraudulent blends of virgin olive oils
Fidel Ortega-Gavilán, Ana M. Jiménez‐Carvelo, Luis Cuadros‐Rodríguez, et al.
Journal of Chromatography A (2022) Vol. 1679, pp. 463378-463378
Closed Access | Times Cited: 4
Molecular Dynamics and Chain Length of Edible Oil Using Low-Field Nuclear Magnetic Resonance
Zijian Jia, Can Liang
Molecules (2022) Vol. 28, Iss. 1, pp. 197-197
Open Access | Times Cited: 3
Evaluation of different regression models for detection of adulteration of mustard and canola oil with argemone oil using fluorescence spectroscopy coupled with chemometrics
Kunal Shiv, Anupam Singh, Sachin Kumar, et al.
Food Additives & Contaminants Part A (2024) Vol. 41, Iss. 2, pp. 105-119
Closed Access
Unraveling the role of probiotics in affecting the structure of monoglyceride gelled emulsions: A low-field 1H NMR study
Sofia Melchior, Eleonora Carini, Marcello Gigliotti, et al.
Current Research in Food Science (2024) Vol. 8, pp. 100724-100724
Open Access
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