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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:

iACVP: markedly enhanced identification of anti-coronavirus peptides using a dataset-specific word2vec model
Hiroyuki Kurata, Sho Tsukiyama, Balachandran Manavalan
Briefings in Bioinformatics (2022) Vol. 23, Iss. 4
Closed Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

A Statistical Analysis of the Sequence and Structure of Thermophilic and Non-Thermophilic Proteins
Zahoor Ahmed, Hasan Zulfiqar, Lixia Tang, et al.
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 17, pp. 10116-10116
Open Access | Times Cited: 40
MIBPred: Ensemble Learning-Based Metal Ion-Binding Protein Classifier
Hongqi Zhang, Shanghua Liu, Rui Li, et al.
ACS Omega (2024)
Open Access | Times Cited: 8
Leveraging a meta-learning approach to advance the accuracy of Nav blocking peptides prediction
Watshara Shoombuatong, Nutta Homdee, Nalini Schaduangrat, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 8
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: 7
ACVPred: Enhanced prediction of anti-coronavirus peptides by transfer learning combined with data augmentation
Yi Xu, Tianyuan Liu, Yu Yang, et al.
Future Generation Computer Systems (2024) Vol. 160, pp. 305-315
Closed Access | Times Cited: 5
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
Discovery of New Pentapeptide Inhibitors Against Amyloid-β Aggregation Using Word2Vec and Molecular Simulation
Yin-Lei Han, Huanhuan Yin, Chen Li, et al.
ACS Chemical Neuroscience (2025)
Closed Access
VITALdb: to select the best viroinformatics tools for a desired virus or application
M. K. Koul, Shalini kaushik, Kavya Singh, et al.
Briefings in Bioinformatics (2025) Vol. 26, Iss. 2
Open Access
GAN-ML: Advancing anticancer peptide prediction through innovative Deep Convolution Generative Adversarial Network data augmentation technique
Sadik Bhattarai, Kil To Chong, Hilal Tayara
Chemometrics and Intelligent Laboratory Systems (2025), pp. 105390-105390
Closed Access
AntiCVP-Deep: Identify anti-coronavirus peptides between different negative datasets based on self-attention and deep learning
Yan Lu, Minghui Wang, Hongyan Zhou, et al.
Biomedical Signal Processing and Control (2024) Vol. 90, pp. 105909-105909
Closed Access | Times Cited: 4
HybAVPnet: a Novel Hybrid Network Architecture for Antiviral Peptides Prediction
Ruiquan Ge, Yixiao Xia, Minchao Jiang, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2024) Vol. 21, Iss. 5, pp. 1358-1365
Closed Access | Times Cited: 4
A review of machine learning-based methods for predicting drug–target interactions
Weisong Shi, Hong Yang, Linhai Xie, et al.
Health Information Science and Systems (2024) Vol. 12, Iss. 1
Closed Access | Times Cited: 4
Stack-AVP: a stacked ensemble predictor based on multi-view information for fast and accurate discovery of antiviral peptides
Phasit Charoenkwan, Pramote Chumnanpuen, Nalini Schaduangrat, et al.
Journal of Molecular Biology (2024), pp. 168853-168853
Closed Access | Times Cited: 4
Stack-DHUpred: Advancing the accuracy of dihydrouridine modification sites detection via stacking approach
Md. Harun-Or-Roshid, Kazuhiro Maeda, Le Thi Phan, et al.
Computers in Biology and Medicine (2023) Vol. 169, pp. 107848-107848
Closed Access | Times Cited: 10
PRR-HyPred: A two-layer hybrid framework to predict pattern recognition receptors and their families by employing sequence encoded optimal features
Ahmad Firoz, Adeel Malik, Hani Mohammed Ali, et al.
International Journal of Biological Macromolecules (2023) Vol. 234, pp. 123622-123622
Closed Access | Times Cited: 7
ACP-Dnnel: anti-coronavirus peptides’ prediction based on deep neural network ensemble learning
Mingyou Liu, Hongmei Liu, Tao Wu, et al.
Amino Acids (2023) Vol. 55, Iss. 9, pp. 1121-1136
Closed Access | Times Cited: 7
A separable temporal convolutional networks based deep learning technique for discovering antiviral medicines
Vishakha Singh, Sanjay Kumar Singh
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 7
Meta-2OM: A multi-classifier meta-model for the accurate prediction of RNA 2′-O-methylation sites in human RNA
Md. Harun-Or-Roshid, Nhat Truong Pham, Balachandran Manavalan, et al.
PLoS ONE (2024) Vol. 19, Iss. 6, pp. e0305406-e0305406
Open Access | Times Cited: 2
New drug discovery and development from natural products: Advances and strategies
Yixin Wang, Fan Wang, Wenxiu Liu, et al.
Pharmacology & Therapeutics (2024) Vol. 264, pp. 108752-108752
Closed Access | Times Cited: 2
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: 2
Current Development of Data Resources and Bioinformatics Tools for Anticoronavirus Peptide
Bowen Li, Min Li, Chunying Lu, et al.
Current Medicinal Chemistry (2024) Vol. 31, Iss. 26, pp. 4079-4099
Closed Access | Times Cited: 1
SME-MFP: A novel spatiotemporal neural network with multiangle initialization embedding toward multifunctional peptides prediction
Jing Xu, Xiaoli Ruan, Jing Yang, et al.
Computational Biology and Chemistry (2024) Vol. 109, pp. 108033-108033
Closed Access | Times Cited: 1
APLpred: A machine learning-based tool for accurate prediction and characterization of asparagine peptide lyases using sequence-derived optimal features
Adeel Malik, Majid Rasool Kamli, Jamal S. M. Sabir, et al.
Methods (2024) Vol. 229, pp. 133-146
Closed Access | Times Cited: 1
Innovative Alignment-Based Method for Antiviral Peptide Prediction
Daniela De Llano García, Yovani Marrero‐Ponce, Guillermı́n Agüero-Chapin, et al.
(2024)
Open Access | Times Cited: 1
PredIL13: Stacking a variety of machine and deep learning methods with ESM-2 language model for identifying IL13-inducing peptides
Hiroyuki Kurata, Md. Harun-Or-Roshid, Sho Tsukiyama, et al.
PLoS ONE (2024) Vol. 19, Iss. 8, pp. e0309078-e0309078
Open Access | Times Cited: 1
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