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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:

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

Showing 12 citing articles:

Progress of machine learning in the application of small molecule druggability prediction
Junyao Li, Jianmei Zhang, Rui Guo, et al.
European Journal of Medicinal Chemistry (2025) Vol. 285, pp. 117269-117269
Closed Access
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
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
Geom-SAC: Geometric multi-discrete soft actor critic with applications in de novo drug design
Amgad Abdallah, Nada Adel, Ahmed M. El Kerdawy, et al.
IEEE Access (2024) Vol. 12, pp. 45519-45529
Open Access | Times Cited: 1
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
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: 1
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
A systematic review of deep learning chemical language models in recent era
Hector Flores-Hernandez, Emmanuel Martínez-Ledesma
Journal of Cheminformatics (2024) Vol. 16, Iss. 1
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
Digital Transformation in the Chemical Industry: The Potential of Augmented Reality and Digital Twin
Lorena Claudia de Souza Moreira, Carine M. Rebello, Erbet A. Costa, et al.
Applied Sciences (2024) Vol. 14, Iss. 24, pp. 11607-11607
Open Access
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