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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:

Data fusion methodologies for food and beverage authentication and quality assessment – A review
Eva Borràs, Joan Ferré, Ricard Boqué, et al.
Analytica Chimica Acta (2015) Vol. 891, pp. 1-14
Closed Access | Times Cited: 646

Showing 1-25 of 646 citing articles:

Food authentication: Techniques, trends & emerging approaches
Georgios P. Danezis, Aristeidis S. Tsagkaris, Federica Camin, et al.
TrAC Trends in Analytical Chemistry (2016) Vol. 85, pp. 123-132
Closed Access | Times Cited: 475
Trends in Chemometrics: Food Authentication, Microbiology, and Effects of Processing
Daniel Granato, Predrag Putnik, Danijela Bursać Kovačević, et al.
Comprehensive Reviews in Food Science and Food Safety (2018) Vol. 17, Iss. 3, pp. 663-677
Open Access | Times Cited: 386
Convolutional neural network for simultaneous prediction of several soil properties using visible/near-infrared, mid-infrared, and their combined spectra
Wartini Ng, Budiman Minasny, Maryam Montazerolghaem, et al.
Geoderma (2019) Vol. 352, pp. 251-267
Closed Access | Times Cited: 354
A deep learning CNN architecture applied in smart near-infrared analysis of water pollution for agricultural irrigation resources
Huazhou Chen, An Chen, Lili Xu, et al.
Agricultural Water Management (2020) Vol. 240, pp. 106303-106303
Closed Access | Times Cited: 289
Fusion of electronic nose, electronic tongue and computer vision for animal source food authentication and quality assessment – A review
Ambra Rita Di Rosa, Francesco Leone, F. Cheli, et al.
Journal of Food Engineering (2017) Vol. 210, pp. 62-75
Closed Access | Times Cited: 284
An overview of multivariate qualitative methods for food fraud detection
M. Pilar Callao, Itziar Ruisánchez
Food Control (2017) Vol. 86, pp. 283-293
Closed Access | Times Cited: 255
Electronic noses and tongues to assess food authenticity and adulteration
Miguel Peris, Laura Escuder‐Gilabert
Trends in Food Science & Technology (2016) Vol. 58, pp. 40-54
Open Access | Times Cited: 241
Chromatographic fingerprinting: An innovative approach for food 'identitation' and food authentication – A tutorial
Luis Cuadros-Rodrı́guez, Cristina Ruiz‐Samblás, L. Valverde-Som, et al.
Analytica Chimica Acta (2016) Vol. 909, pp. 9-23
Closed Access | Times Cited: 216
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
Quality assessment of herbal medicines based on chemical fingerprints combined with chemometrics approach: A review
Yun Li, Yao Shen, Changliang Yao, et al.
Journal of Pharmaceutical and Biomedical Analysis (2020) Vol. 185, pp. 113215-113215
Closed Access | Times Cited: 154
Miniaturized NIR Spectroscopy in Food Analysis and Quality Control: Promises, Challenges, and Perspectives
Krzysztof B. Beć, Justyna Grabska, Christian W. Huck
Foods (2022) Vol. 11, Iss. 10, pp. 1465-1465
Open Access | Times Cited: 141
Data handling in data fusion: Methodologies and applications
Silvana M. Azcarate, Rocío Ríos‐Reina, José Manuel Amigo, et al.
TrAC Trends in Analytical Chemistry (2021) Vol. 143, pp. 116355-116355
Open Access | Times Cited: 123
Rapid identification of fish species by laser-induced breakdown spectroscopy and Raman spectroscopy coupled with machine learning methods
Lihui Ren, Ye Tian, Xiaoying Yang, et al.
Food Chemistry (2022) Vol. 400, pp. 134043-134043
Closed Access | Times Cited: 72
A systematic review of data fusion techniques for optimized structural health monitoring
Sahar Hassani, Ulrike Dackermann, Mohsen Mousavi, et al.
Information Fusion (2023) Vol. 103, pp. 102136-102136
Open Access | Times Cited: 58
Artificial intelligence-based techniques for adulteration and defect detections in food and agricultural industry: A review
Suhaili Othman, Nidhi Rajesh Mavani, M.A. Hussain, et al.
Journal of Agriculture and Food Research (2023) Vol. 12, pp. 100590-100590
Open Access | Times Cited: 45
Spectral data fusion in nondestructive detection of food products: Strategies, recent applications, and future perspectives
Minqiang Guo, Kaiqiang Wang, Hong Lin, et al.
Comprehensive Reviews in Food Science and Food Safety (2024) Vol. 23, Iss. 1
Closed Access | Times Cited: 30
Advancements and Prospects of Electronic Nose in Various Applications: A Comprehensive Review
Abdelaziz Rabehi, Hicham Helal, Dario Zappa, et al.
Applied Sciences (2024) Vol. 14, Iss. 11, pp. 4506-4506
Open Access | Times Cited: 27
Computer vision and deep learning-based approaches for detection of food nutrients/nutrition: New insights and advances
Sushant Kaushal, Dushyanth Kumar Tammineni, Priya Rana, et al.
Trends in Food Science & Technology (2024) Vol. 146, pp. 104408-104408
Closed Access | Times Cited: 25
Characterization of the flavor profile and dynamic changes in Chinese traditional fish sauce (Yu-lu) based on electronic nose, SPME-GC-MS and HS-GC-IMS
Jianmin Chen, Wanwan Wang, Jiahui Jin, et al.
Food Research International (2024) Vol. 192, pp. 114772-114772
Closed Access | Times Cited: 18
Leveraging artificial intelligence and advanced food processing techniques for enhanced food safety, quality, and security: a comprehensive review
Sambandh Bhusan Dhal, Debashish Kar
Deleted Journal (2025) Vol. 7, Iss. 1
Open Access | Times Cited: 12
Recent advancements in detecting sugar-based adulterants in honey – A challenge
Liming Wu, Bing Du, Yvan Vander Heyden, et al.
TrAC Trends in Analytical Chemistry (2016) Vol. 86, pp. 25-38
Closed Access | Times Cited: 167
Food authentication: state of the art and prospects
Georgios P. Danezis, Aristeidis S. Tsagkaris, Vladimir Brusić, et al.
Current Opinion in Food Science (2016) Vol. 10, pp. 22-31
Closed Access | Times Cited: 164
FT-Raman and NIR spectroscopy data fusion strategy for multivariate qualitative analysis of food fraud
Cristina D. Márquez, María Isabel López, Itziar Ruisánchez, et al.
Talanta (2016) Vol. 161, pp. 80-86
Closed Access | Times Cited: 156
Food fraud: policy and food chain
Louise Manning
Current Opinion in Food Science (2016) Vol. 10, pp. 16-21
Closed Access | Times Cited: 149
Advances in NIR spectroscopy applied to process analytical technology in food industries
Silvia Grassi, Cristina Alamprese
Current Opinion in Food Science (2018) Vol. 22, pp. 17-21
Open Access | Times Cited: 146
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