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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:

Accurate Prediction of Anti-hypertensive Peptides Based on Convolutional Neural Network and Gated Recurrent unit
Hongyan Shi, Shengli Zhang
Interdisciplinary Sciences Computational Life Sciences (2022) Vol. 14, Iss. 4, pp. 879-894
Closed Access | Times Cited: 21

Showing 21 citing articles:

Predicting microbe organisms using data of living micro forms of life and hybrid microbes classifier
Ali Raza, Furqan Rustam, Hafeez Ur Rehman Siddiqui, et al.
PLoS ONE (2023) Vol. 18, Iss. 4, pp. e0284522-e0284522
Open Access | Times Cited: 18
A deep learning-driven discovery of berberine derivatives as novel antibacterial against multidrug-resistant Helicobacter pylori
Xixi Guo, Xiaosa Zhao, Xi Lü, et al.
Signal Transduction and Targeted Therapy (2024) Vol. 9, Iss. 1
Open Access | Times Cited: 6
MPMABP: A CNN and Bi-LSTM-Based Method for Predicting Multi-Activities of Bioactive Peptides
You Li, Xueyong Li, Yuewu Liu, et al.
Pharmaceuticals (2022) Vol. 15, Iss. 6, pp. 707-707
Open Access | Times Cited: 24
Artificial intelligence in food bioactive peptides screening: Recent advances and future prospects
Ji Yoon Chang, Haitao Wang, Wentao Su, et al.
Trends in Food Science & Technology (2024), pp. 104845-104845
Closed Access | Times Cited: 4
Deepstack-ACE: A deep stacking-based ensemble learning framework for the accelerated discovery of ACE inhibitory peptides
Phasit Charoenkwan, Pramote Chumnanpuen, Nalini Schaduangrat, et al.
Methods (2024)
Closed Access | Times Cited: 4
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
MicrobeNet: An Automated Approach for Microbe Organisms Prediction Using Feature Fusion and Weighted CNN Model
Khaled Alnowaiser
International Journal of Computational Intelligence Systems (2025) Vol. 18, Iss. 1
Open Access
Machine learning and multi-omics integration: advancing cardiovascular translational research and clinical practice
Mingzhi Lin, Jiuqi Guo, Zhilin Gu, et al.
Journal of Translational Medicine (2025) Vol. 23, Iss. 1
Open Access
DapNet-HLA: Adaptive dual-attention mechanism network based on deep learning to predict non-classical HLA binding sites
Yuanyuan Jing, Shengli Zhang, Houqiang Wang
Analytical Biochemistry (2023) Vol. 666, pp. 115075-115075
Closed Access | Times Cited: 9
Bioinformatics and bioactive peptides from foods: Do they work together?
Anna Iwaniak, Piotr Mińkiewicz, Małgorzata Darewicz
Advances in food and nutrition research (2024), pp. 35-111
Closed Access | Times Cited: 2
iACP-GE: accurate identification of anticancer peptides by using gradient boosting decision tree and extra tree
Yunyun Liang, Xiaoqiu Ma
SAR and QSAR in environmental research (2022) Vol. 34, Iss. 1, pp. 1-19
Closed Access | Times Cited: 11
Computational Models That Use a Quantitative Structure–Activity Relationship Approach Based on Deep Learning
Yasunari Matsuzaka, Yoshihiro Uesawa
Processes (2023) Vol. 11, Iss. 4, pp. 1296-1296
Open Access | Times Cited: 5
Identification of antihypertensive peptides from lupine using a machine learning approach
Margarita Terziyska, Zhelyazko Terziyski, Ivelina Desseva, et al.
BIO Web of Conferences (2024) Vol. 102, pp. 02005-02005
Open Access | Times Cited: 1
NeuroPred-ResSE: Predicting neuropeptides by integrating residual block and squeeze-excitation attention mechanism
Yunyun Liang, Mengyi Cao, Shengli Zhang
Analytical Biochemistry (2024) Vol. 695, pp. 115648-115648
Closed Access | Times Cited: 1
ILYCROsite: Identification of lysine crotonylation sites based on FCM-GRNN undersampling technique
Yun Zuo, Minquan Wan, Yang Shen, et al.
Computational Biology and Chemistry (2024) Vol. 113, pp. 108212-108212
Closed Access
HemoFuse: multi-feature fusion based on multi-head cross-attention for identification of hemolytic peptides
Ya Zhao, Shengli Zhang, Yunyun Liang
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
AI4ACEIP: A Computing Tool to Identify Food Peptides with High Inhibitory Activity for ACE by Merged Molecular Representation and Rich Intrinsic Sequence Information Based on an Ensemble Learning Strategy
Sen Yang, Ni Jiang, P. Xu
Journal of Agricultural and Food Chemistry (2024) Vol. 72, Iss. 45, pp. 25340-25356
Closed Access
TCellPredX: A Novel Approach for Accurate Prediction of Hepatitis C Virus Linear T Cell Epitopes
Fang Ge, Haoyang Li, Ming Zhang, et al.
ACS Omega (2024) Vol. 9, Iss. 52, pp. 51494-51507
Open Access
AAindex-PPII: Predicting polyproline type II helix structure based on amino acid indexes with an improved BiGRU-TextCNN model
Jiasheng He, Shun Zhang, Chun Fang
Journal of Bioinformatics and Computational Biology (2023) Vol. 21, Iss. 05
Closed Access | Times Cited: 1
iAVPs-ResBi: Identifying antiviral peptides by using deep residual network and bidirectional gated recurrent unit
Xinyan Ma, Yunyun Liang, Shengli Zhang
Mathematical Biosciences & Engineering (2023) Vol. 20, Iss. 12, pp. 21563-21587
Open Access | Times Cited: 1
Very high risk of intracranial hemorrhage and severe outcomes in adult patients with mild hemophilia: Sub-analysis of the EMO.REC Registry
Samantha Pasca, Silvia Linari, Annarita Tagliaferri, et al.
Thrombosis Research (2022) Vol. 221, pp. 35-36
Closed Access | Times Cited: 1
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