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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:

Novel scaffold of natural compound eliciting sweet taste revealed by machine learning
Cédric Bouysset, Christine Belloir, Serge Antonczak, et al.
Food Chemistry (2020) Vol. 324, pp. 126864-126864
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Recent advances and application of machine learning in food flavor prediction and regulation
Huizhuo Ji, Dandan Pu, Wenjing Yan, et al.
Trends in Food Science & Technology (2023) Vol. 138, pp. 738-751
Closed Access | Times Cited: 82
Artificial intelligence and food flavor: How AI models are shaping the future and revolutionary technologies for flavor food development
Zhiyong Cui, Chong Qi, Tianxing Zhou, et al.
Comprehensive Reviews in Food Science and Food Safety (2025) Vol. 24, Iss. 1
Closed Access | Times Cited: 3
Machine learning in solid heterogeneous catalysis: Recent developments, challenges and perspectives
Yani Guan, Donovan Chaffart, Guihua Liu, et al.
Chemical Engineering Science (2021) Vol. 248, pp. 117224-117224
Closed Access | Times Cited: 85
Data-Driven Elucidation of Flavor Chemistry
Xingran Kou, Peiqin Shi, Chukun Gao, et al.
Journal of Agricultural and Food Chemistry (2023) Vol. 71, Iss. 18, pp. 6789-6802
Open Access | Times Cited: 28
ChemTastesDB: A curated database of molecular tastants
Cristian Rojas, Davide Ballabio, Karen Pacheco Sarmiento, et al.
Food Chemistry Molecular Sciences (2022) Vol. 4, pp. 100090-100090
Open Access | Times Cited: 29
A survey on computational taste predictors
Marta Malavolta, Lorenzo Pallante, Bojan Mavkov, et al.
European Food Research and Technology (2022) Vol. 248, Iss. 9, pp. 2215-2235
Open Access | Times Cited: 29
Sugar Reduction in Dairy Food: An Overview with Flavoured Milk as an Example
Dipendra Kumar Mahato, Russell Keast, Djin Gie Liem, et al.
Foods (2020) Vol. 9, Iss. 10, pp. 1400-1400
Open Access | Times Cited: 45
Unlocking the potential of odor-induced sugar reduction: an updated review of the underlying mechanisms, substance selections, and technical methodologies
Lin Zhu, Fei Pan, Felix Stöppelmann, et al.
Trends in Food Science & Technology (2024) Vol. 147, pp. 104423-104423
Open Access | Times Cited: 5
Machine learning and flavoromics-based research strategies for determining the characteristic flavor of food: A review
Donglin Cai, Xueqing Li, Huifang Liu, et al.
Trends in Food Science & Technology (2024) Vol. 154, pp. 104794-104794
Closed Access | Times Cited: 5
Predicting multiple taste sensations with a multiobjective machine learning method
Lampros Androutsos, Lorenzo Pallante, Agorakis Bompotas, et al.
npj Science of Food (2024) Vol. 8, Iss. 1
Open Access | Times Cited: 4
Combining Machine Learning and Electrophysiology for Insect Odorant Receptor Studies
Arthur Comte, Sébastien Fiorucci, Emmanuelle Jacquin‐Joly
Methods in molecular biology (2025), pp. 101-116
Closed Access
Informed classification of sweeteners/bitterants compounds via explainable machine learning
Gabriele Maroni, Lorenzo Pallante, Giacomo Di Benedetto, et al.
Current Research in Food Science (2022) Vol. 5, pp. 2270-2280
Open Access | Times Cited: 17
Artificial intelligence and machine learning applications for cultured meat
Michael E. Todhunter, Sheikh Jubair, Ruchika Verma, et al.
Frontiers in Artificial Intelligence (2024) Vol. 7
Open Access | Times Cited: 3
Toward a general and interpretable umami taste predictor using a multi-objective machine learning approach
Lorenzo Pallante, Aigli Korfiati, Lampros Androutsos, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 14
How can oral paediatric formulations be improved? A challenge for the XXI century
Miguel N. Moreira, Mafalda C. Sarraguça
International Journal of Pharmaceutics (2020) Vol. 590, pp. 119905-119905
Closed Access | Times Cited: 22
A novel multi-layer prediction approach for sweetness evaluation based on systematic machine learning modeling
Zhengfei Yang, Ran Xiao, Guo‐Li Xiong, et al.
Food Chemistry (2021) Vol. 372, pp. 131249-131249
Closed Access | Times Cited: 18
A mosaic-structured framework applied in the healthy food design: insights from integrated in silico and in vitro approaches
Luciana Azevedo, Daniel Granato, Vinícius Gonçalves Maltarollo, et al.
Current Opinion in Food Science (2023) Vol. 52, pp. 101047-101047
Open Access | Times Cited: 7
Sweetener identification using transfer learning and attention mechanism
Fanchao Lin, Yuan Ji, Shoujiang Xu
CyTA - Journal of Food (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 2
Bioinformatics and bioactive peptides from foods: Do they work together?
Anna Iwaniak, Piotr Mińkiewicz, Małgorzata Darewicz
Advances in food and nutrition research (2024), pp. 35-111
Closed Access | Times Cited: 2
Bridging odorants and olfactory perception through machine learning: A review
Zhong Risheng, Zongliang Ji, Shuqi Wang, et al.
Trends in Food Science & Technology (2024) Vol. 153, pp. 104700-104700
Closed Access | Times Cited: 2
The taste for health: the role of taste receptors and their ligands in the complex food/health relationship
Gabriella Morini
Frontiers in Nutrition (2024) Vol. 11
Open Access | Times Cited: 1
ChemSweet: An AI-driven computational platform for next-gen sweetener discovery
Jie Qian, Xuejie Wang, Fangliang Song, et al.
Food Chemistry (2024) Vol. 463, pp. 141362-141362
Closed Access | Times Cited: 1
Taste GPCRs and their ligands
Nitzan Dubovski, Fabrizio Fierro, Eitan Margulis, et al.
Progress in molecular biology and translational science (2022), pp. 177-193
Closed Access | Times Cited: 6
Insights into Chemical Structure-Based Modeling for New Sweetener Discovery
Ning Tang
Foods (2023) Vol. 12, Iss. 13, pp. 2563-2563
Open Access | Times Cited: 2
Gıda İşleme ve Üretiminde Yenilikçi Teknolojiler
Ebru Aydın, Erkan Karacabey, Erdoğan Küçüköner, et al.
(2024)
Open Access
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