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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:

Classification-based machine learning approaches to predict the taste of molecules: A review
Cristian Rojas, Davide Ballabio, Viviana Consonni, et al.
Food Research International (2023) Vol. 171, pp. 113036-113036
Open Access | Times Cited: 21

Showing 21 citing articles:

Virtual screening and characteristics of novel umami peptides from porcine type I collagen
Yuxiang Gu, Jingcheng Zhang, Yajie Niu, et al.
Food Chemistry (2023) Vol. 434, pp. 137386-137386
Closed Access | Times Cited: 50
Bitter flavors and bitter compounds in foods: identification, perception, and reduction techniques
Xinyu Chu, Wangsheng Zhu, Xue Li, et al.
Food Research International (2024) Vol. 183, pp. 114234-114234
Closed Access | Times Cited: 17
Advancements in production, assessment, and food applications of salty and saltiness-enhancing peptides: A review
Yingying Hu, Iftikhar Hussain Badar, Yue Liu, et al.
Food Chemistry (2024) Vol. 453, pp. 139664-139664
Closed Access | Times Cited: 15
De novo antioxidant peptide design via machine learning and DFT studies
Parsa Hesamzadeh, Abdolvahab Seif, Kazem Mahmoudzadeh, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 14
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: 9
Identification of novel umami peptides from oyster hydrolysate and the mechanisms underlying their taste characteristics using machine learning
Baifeng Fu, Minbo Li, Zhihui Chang, et al.
Food Chemistry (2025) Vol. 473, pp. 142970-142970
Closed Access | Times Cited: 2
Machine Learning-Based Multi-Modal and Multi-Granularity Feature Fusion Framework for Accurate Prediction of Molecular Properties
Shihao Nan, Zhongmei Li, Saimeng Jin, et al.
Industrial & Engineering Chemistry Research (2025)
Closed Access | Times Cited: 1
Taste and its receptors in human physiology: A comprehensive look
Chao Li, Yaxin Li, Qing Sun, et al.
Food Frontiers (2024) Vol. 5, Iss. 4, pp. 1512-1533
Open Access | Times Cited: 6
Unlocking the Potential of the Umami Taste-Presenting Compounds: A Review of the Health Benefits, Metabolic Mechanisms and Intelligent Detection Strategies
Rongrong Xia, Yitong Qiao, Heran Xu, et al.
Food Reviews International (2024), pp. 1-21
Closed Access | Times Cited: 4
A Systematic Review on Intensifications of Artificial Intelligence Assisted Green Solvent Development
Huaqiang Wen, Shihao Nan, Di Wu, et al.
Industrial & Engineering Chemistry Research (2023) Vol. 62, Iss. 48, pp. 20473-20491
Closed Access | Times Cited: 11
Structure–function relationships between the human bitter taste receptor TAS2R38 and propylthiouracil: An in‐silico investigation
Gowtham Subramanian, Vinithra Ponnusamy, Janaranjani Murugesan, et al.
IUBMB Life (2025) Vol. 77, Iss. 2
Closed Access
ChemTastesPredictor: an ensemble of machine learning classifiers to predict the taste of molecular tastants
Cristian Rojas, Mónica Abril-González, Davide Ballabio, et al.
Chemometrics and Intelligent Laboratory Systems (2025), pp. 105380-105380
Closed Access
In silico identification for flavor antioxidant compounds in Chrysanthemi flos uncovers the interactions between saccharides and secondary metabolites
Jiamu Ma, Le Wang, Mingxia Li, et al.
Food Chemistry (2025), pp. 144160-144160
Closed Access
Decoding the Taste of Peptides: Structure, Interactions With Taste Receptors, Bioactivities, and Applications
Nesma Elhadad, Jianping Wu
Sustainable Food Proteins (2025) Vol. 3, Iss. 2
Open Access
AI-Driven Prediction of Bitterness and Sweetness and Analysis of Receptor Interactions
Hiroaki Iwata
Current Research in Food Science (2025), pp. 101090-101090
Open Access
Multidimensional exploration of the interactions and mechanisms between fat and salt: Saltiness perception, and taste perception and oxidation of fat
Yao Feng, Yu Zhang, Kai Huang, et al.
Trends in Food Science & Technology (2025), pp. 105099-105099
Closed Access
Identification and Taste Characteristics of Six Novel Umami Peptides from Mytilus coruscus and Their Interaction with the T1R1/T1R3 Receptor
Jian Chen, Yuhan Li, Yanbin Lu, et al.
Journal of Agricultural and Food Chemistry (2025)
Closed Access
Chemical space deconstruction-based dynamic model ensemble architecture for molecular property prediction
Huaqiang Wen, Shihao Nan, Jun Zhang, et al.
Chemical Engineering Science (2024) Vol. 295, pp. 120118-120118
Closed Access | Times Cited: 2
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
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 | Times Cited: 2
A Comprehensive Review of Paediatric Drug Development: An Extensive Analysis of Present Difficulties and Prospects for the Future
Manasa Chandramouli
(2024)
Closed Access | Times Cited: 1
A Comprehensive Comparative Analysis of Deep Learning Based Feature Representations for Molecular Taste Prediction
Yu Song, Sihao Chang, Jing Tian, et al.
Foods (2023) Vol. 12, Iss. 18, pp. 3386-3386
Open Access | Times Cited: 2
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
Database, prediction, and antibacterial research of astringency based on large language models
一彦 須賀, Yilin Gao, Kaifeng Liu, et al.
Computers in Biology and Medicine (2024) Vol. 184, pp. 109375-109375
Closed Access
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