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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:

UMPred-FRL: A New Approach for Accurate Prediction of Umami Peptides Using Feature Representation Learning
Phasit Charoenkwan, Chanin Nantasenamat, Md Mehedi Hasan, et al.
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 23, pp. 13124-13124
Open Access | Times Cited: 72

Showing 1-25 of 72 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
Characteristics of saltiness-enhancing peptides derived from yeast proteins and elucidation of their mechanism of action by molecular docking
Yajie Niu, Yuxiang Gu, Jingcheng Zhang, et al.
Food Chemistry (2024) Vol. 449, pp. 139216-139216
Closed Access | Times Cited: 23
Screening and Characterization of novel umami peptides in Cheddar cheese using peptidomics and bioinformatics approaches
Yuxiang Gu, Jingcheng Zhang, Yajie Niu, et al.
LWT (2024) Vol. 194, pp. 115780-115780
Open Access | Times Cited: 22
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: 4
A TastePeptides-Meta system including an umami/bitter classification model Umami_YYDS, a TastePeptidesDB database and an open-source package Auto_Taste_ML
Zhiyong Cui, Zhiwei Zhang, Tianxing Zhou, et al.
Food Chemistry (2022) Vol. 405, pp. 134812-134812
Closed Access | Times Cited: 62
AMYPred-FRL is a novel approach for accurate prediction of amyloid proteins by using feature representation learning
Phasit Charoenkwan, Saeed Ahmed, Chanin Nantasenamat, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 52
SAPPHIRE: A stacking-based ensemble learning framework for accurate prediction of thermophilic proteins
Phasit Charoenkwan, Nalini Schaduangrat, Mohammad Ali Moni, et al.
Computers in Biology and Medicine (2022) Vol. 146, pp. 105704-105704
Closed Access | Times Cited: 47
Umami-MRNN: Deep learning-based prediction of umami peptide using RNN and MLP
Lulu Qi, Jialuo Du, Yue Sun, et al.
Food Chemistry (2022) Vol. 405, pp. 134935-134935
Closed Access | Times Cited: 44
Conserved Sites and Recognition Mechanisms of T1R1 and T2R14 Receptors Revealed by Ensemble Docking and Molecular Descriptors and Fingerprints Combined with Machine Learning
Zhiyong Cui, Ninglong Zhang, Tianxing Zhou, et al.
Journal of Agricultural and Food Chemistry (2023) Vol. 71, Iss. 14, pp. 5630-5645
Closed Access | Times Cited: 39
Combining molecular docking and molecular dynamics simulation to discover four novel umami peptides from tuna skeletal myosin with sensory evaluation validation
Shuai Zhao, Shuang Ma, Yuanyue Zhang, et al.
Food Chemistry (2023) Vol. 433, pp. 137331-137331
Closed Access | Times Cited: 35
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
Current progress in umami peptides from blue foods: Preparation, screening, evaluation, synergistic effects, and taste mechanism
Hao Li, Yan Fan, Qiaoji Tian, et al.
Trends in Food Science & Technology (2024) Vol. 149, pp. 104567-104567
Closed Access | Times Cited: 15
Exploration of the flavor mechanism of novel umami peptides from lager beer: HPLC-Q-TOF-MS combined with flavor perception, molecular docking and molecular dynamics simulation
He Huang, Yiyuan Chen, Jiaxin Hong, et al.
Journal of Food Composition and Analysis (2025) Vol. 141, pp. 107338-107338
Closed Access | Times Cited: 1
Analysis of the mechanism of difference in umami peptides from oysters (Crassostrea ariakensis) prepared by trypsin hydrolysis and boiling through hydrogen bond interactions
Yikun Fang, Min Lv, Chuanyan Pan, et al.
Food Chemistry (2025) Vol. 476, pp. 143367-143367
Closed Access | Times Cited: 1
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
Identification of novel umami peptides from yeast extract and the mechanism against T1R1/T1R3
Hao Wang, Wenjun Wang, Shuyu Zhang, et al.
Food Chemistry (2023) Vol. 429, pp. 136807-136807
Closed Access | Times Cited: 20
Umami-BERT: An interpretable BERT-based model for umami peptides prediction
Jingcheng Zhang, Wenjing Yan, Qingchuan Zhang, et al.
Food Research International (2023) Vol. 172, pp. 113142-113142
Closed Access | Times Cited: 18
Unraveling umami complexity: From exploring umami peptides in fermented soybean curd to molecular elucidation of taste mechanisms
Yong Dong, Rui Chang, Zhongwei Ji, et al.
Food Bioscience (2024) Vol. 59, pp. 103951-103951
Closed Access | Times Cited: 9
Screening and identification of novel umami peptides from yeast proteins: Insights into their mechanism of action on receptors T1R1/T1R3
Yuxiang Gu, Xuewei Zhou, Yajie Niu, et al.
Food Chemistry (2024) Vol. 463, pp. 141138-141138
Closed Access | Times Cited: 8
Unraveling novel umami peptides from yeast extract (Saccharomyces cerevisiae) using peptidomics and molecular interaction modeling
Chunyu Gao, Rilei Yu, Xiaomei Zhang, et al.
Food Chemistry (2024) Vol. 453, pp. 139691-139691
Closed Access | Times Cited: 7
A strategy for screening novel umami dipeptides based on common feature pharmacophore and molecular docking
Yongzhao Xiong, Xinchang Gao, Daodong Pan, et al.
Biomaterials (2022) Vol. 288, pp. 121697-121697
Closed Access | Times Cited: 27
Rapid screening based on machine learning and molecular docking of umami peptides from porcine bone
Qing Liu, Xinchang Gao, Daodong Pan, et al.
Journal of the Science of Food and Agriculture (2022) Vol. 103, Iss. 8, pp. 3915-3925
Closed Access | Times Cited: 26
Computational prediction and interpretation of druggable proteins using a stacked ensemble-learning framework
Phasit Charoenkwan, Nalini Schaduangrat, Píetro Lió, et al.
iScience (2022) Vol. 25, Iss. 9, pp. 104883-104883
Open Access | Times Cited: 25
Invited review: Camel milk–derived bioactive peptides and diabetes—Molecular view and perspectives
Mohammed Akli Ayoub, Pei-Gee Yap, Priti Mudgil, et al.
Journal of Dairy Science (2023) Vol. 107, Iss. 2, pp. 649-668
Open Access | Times Cited: 14
Exploring the Relationship between Small Peptides and the T1R1/T1R3 Umami Taste Receptor for Umami Peptide Prediction: A Combined Approach
Wenyuan Zhang, Hui Guan, Miaomiao Wang, et al.
Journal of Agricultural and Food Chemistry (2024) Vol. 72, Iss. 23, pp. 13262-13272
Closed Access | Times Cited: 6
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