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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:

Identify Bitter Peptides by Using Deep Representation Learning Features
Jici Jiang, Xinxu Lin, Yueqi Jiang, et al.
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 14, pp. 7877-7877
Open Access | Times Cited: 22

Showing 22 citing articles:

An overview of bitter compounds in foodstuffs: Classifications, evaluation methods for sensory contribution, separation and identification techniques, and mechanism of bitter taste transduction
Jingna Yan, Huarong Tong
Comprehensive Reviews in Food Science and Food Safety (2022) Vol. 22, Iss. 1, pp. 187-232
Closed Access | Times Cited: 44
Bitter-RF: A random forest machine model for recognizing bitter peptides
Yufei Zhang, Yuhao Wang, Zhi-Feng Gu, et al.
Frontiers in Medicine (2023) Vol. 10
Open Access | Times Cited: 42
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: 29
Recent advances and applications of deep learning, electroencephalography, and modern analysis techniques in screening, evaluation, and mechanistic analysis of taste peptides
Lijun Su, Huizhuo Ji, Jianlei Kong, et al.
Trends in Food Science & Technology (2024) Vol. 150, pp. 104607-104607
Closed Access | Times Cited: 14
iBitter-GRE: A Novel Stacked Bitter Peptide Predictor with ESM-2 and Multi-View Features
Jingwei Lv, Aoyun Geng, Zhuoyu Pan, et al.
Journal of Molecular Biology (2025), pp. 169005-169005
Closed Access | Times Cited: 1
Identification of Thermophilic Proteins Based on Sequence-Based Bidirectional Representations from Transformer-Embedding Features
Hongdi Pei, Jiayu Li, Shuhan Ma, et al.
Applied Sciences (2023) Vol. 13, Iss. 5, pp. 2858-2858
Open Access | Times Cited: 21
FEOpti-ACVP: identification of novel anti-coronavirus peptide sequences based on feature engineering and optimization
Jici Jiang, Hongdi Pei, Jiayu Li, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 2
Open Access | Times Cited: 8
IUP-BERT: Identification of Umami Peptides Based on BERT Features
Liangzhen Jiang, Jici Jiang, Xiao Wang, et al.
Foods (2022) Vol. 11, Iss. 22, pp. 3742-3742
Open Access | Times Cited: 21
A Machine Learning Method to Identify Umami Peptide Sequences by Using Multiplicative LSTM Embedded Features
Jici Jiang, Jiayu Li, Junxian Li, et al.
Foods (2023) Vol. 12, Iss. 7, pp. 1498-1498
Open Access | Times Cited: 13
Prediction of Antifungal Activity of Antimicrobial Peptides by Transfer Learning from Protein Pretrained Models
Fernando Lobo, Maily Selena González, Alicia Boto, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 12, pp. 10270-10270
Open Access | Times Cited: 13
Identification and prediction of milk-derived bitter taste peptides based on peptidomics technology and machine learning method
Yang Yu, Shengchi Liu, Xinchen Zhang, et al.
Food Chemistry (2023) Vol. 433, pp. 137288-137288
Closed Access | Times Cited: 11
Peptide classification landscape: An in-depth systematic literature review on peptide types, databases, datasets, predictors architectures and performance
Muhammad Nabeel Asim, Tayyaba Asif, Faiza Mehmood, et al.
Computers in Biology and Medicine (2025) Vol. 188, pp. 109821-109821
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
Research on Bitter Peptides in the Field of Bioinformatics: A Comprehensive Review
Shanghua Liu, Tianyu Shi, Junwen Yu, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 18, pp. 9844-9844
Open Access | Times Cited: 3
Using the Random Forest for Identifying Key Physicochemical Properties of Amino Acids to Discriminate Anticancer and Non-Anticancer Peptides
Yiting Deng, Shuhan Ma, Jiayu Li, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 13, pp. 10854-10854
Open Access | Times Cited: 5
DeepNeuropePred: A robust and universal tool to predict cleavage sites from neuropeptide precursors by protein language model
Lei Wang, Zilu Zeng, Zhidong Xue, et al.
Computational and Structural Biotechnology Journal (2023) Vol. 23, pp. 309-315
Open Access | Times Cited: 5
Bitter peptide prediction using graph neural networks
Prashant K. Srivastava, Alexandra Steuer, Francesco Ferri, et al.
Journal of Cheminformatics (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 1
UniBioPAN: A Novel Universal Classification Architecture for Bioactive Peptides Inspired by Video Action Recognition
Ruihong Wang, Xiao Liang, Yi Zhao, et al.
Journal of Chemical Information and Modeling (2024)
Closed Access | Times Cited: 1
Integrated analysis of ovarian cancer patients from prospective transcription factor activity reveals subtypes of prognostic significance
Dongqing Su, Yuqiang Xiong, Haodong Wei, et al.
Heliyon (2023) Vol. 9, Iss. 5, pp. e16147-e16147
Open Access | Times Cited: 3
PTSP-BERT: Predict the thermal stability of proteins using sequence-based bidirectional representations from transformer-embedded features
Zhibin Lv, Mingxuan Wei, Hongdi Pei, et al.
Computers in Biology and Medicine (2024) Vol. 185, pp. 109598-109598
Closed Access
Predicting Compound-Protein Interaction by Deepening the Systemic Background via Molecular Network Feature Embedding
Han Wang, Hangxu Zhu, Wenhao Li, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2022), pp. 346-353
Closed Access | Times Cited: 2
DeepNeuropePred: a robust and universal tool to predict cleavage sites from neuropeptide precursors by protein language model
Lei Wang, Zilu Zeng, Zhidong Xue, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
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