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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:

Generating Flavor Molecules Using Scientific Machine Learning
Luana P. Queiroz, Carine M. Rebello, Erbet A. Costa, et al.
ACS Omega (2023) Vol. 8, Iss. 12, pp. 10875-10887
Open Access | Times Cited: 10

Showing 10 citing articles:

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
Flavor engineering: A comprehensive review of biological foundations, AI integration, industrial development, and socio-cultural dynamics
Luciano Paganucci de Queiroz, Idelfonso B. R. Nogueira, Ana M. Ribeiro
Food Research International (2024) Vol. 196, pp. 115100-115100
Open Access | Times Cited: 4
Transfer Learning Approach to Develop Natural Molecules with Specific Flavor Requirements
Luana P. Queiroz, Carine M. Rebello, Erbet A. Costa, et al.
Industrial & Engineering Chemistry Research (2023) Vol. 62, Iss. 23, pp. 9062-9076
Open Access | Times Cited: 12
Harnessing graph neural networks to craft fragrances based on consumer feedback
Bruno C. L. Rodrigues, Vinícius V. Santana, Luana P. Queiroz, et al.
Computers & Chemical Engineering (2024) Vol. 185, pp. 108674-108674
Open Access | Times Cited: 3
FlavorMiner: A Machine Learning Platform for Extracting Molecular Flavor Profiles from Structural Data
Fabio Herrera‐Rocha, Miguel Fernández-Niño, Jorge Duitama, et al.
(2024)
Open Access | Times Cited: 2
Molecule Generation and Optimization for Efficient Fragrance Creation
Bruno C. L. Rodrigues, Vinícius V. Santana, Sandris Murins, et al.
Industrial & Engineering Chemistry Research (2024) Vol. 63, Iss. 33, pp. 14480-14494
Open Access | Times Cited: 1
PUFFIN: A path-unifying feed-forward interfaced network for vapor pressure prediction
Vinícius V. Santana, Carine M. Rebello, Luana P. Queiroz, et al.
Chemical Engineering Science (2023) Vol. 286, pp. 119623-119623
Open Access | Times Cited: 4
FlavorMiner: A Machine Learning Platform for Extracting Molecular Flavor Profiles from Structural Data
Fabio Herrera‐Rocha, Miguel Fernández-Niño, Jorge Duitama, et al.
Research Square (Research Square) (2024)
Open Access
FlavorMiner: a machine learning platform for extracting molecular flavor profiles from structural data
Fabio Herrera‐Rocha, Miguel Fernández-Niño, Jorge Duitama, et al.
Journal of Cheminformatics (2024) Vol. 16, Iss. 1
Open Access
Scents of AI: Harnessing Graph Neural Networks to Craft Fragrances Based on Consumer Feedback
Bruno de Carvalho Leite Rodrigues, Vinícius V. Santana, Luana P. Queiroz, et al.
(2023)
Open Access | Times Cited: 1
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