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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:

Comparative analysis of machine learning-based approaches for identifying therapeutic peptides targeting SARS-CoV-2
Balachandran Manavalan, Shaherin Basith, Gwang Lee
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Open Access | Times Cited: 23

Showing 23 citing articles:

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: 45
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: 36
COVID-DSNet: A novel deep convolutional neural network for detection of coronavirus (SARS-CoV-2) cases from CT and Chest X-Ray images
Hatice Çatal Reis, Veysel Turk
Artificial Intelligence in Medicine (2022) Vol. 134, pp. 102427-102427
Open Access | Times Cited: 31
ADP-Fuse: A novel two-layer machine learning predictor to identify antidiabetic peptides and diabetes types using multiview information
Shaherin Basith, Nhat Truong Pham, Minkyung Song, et al.
Computers in Biology and Medicine (2023) Vol. 165, pp. 107386-107386
Closed Access | Times Cited: 17
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
DLBWE-Cys: a deep-learning-based tool for identifying cysteine S-carboxyethylation sites using binary-weight encoding
Zhengtao Luo, Qingyong Wang, Yingchun Xia, et al.
Frontiers in Genetics (2025) Vol. 15
Open Access
AntiT2DMP-Pred: Leveraging feature fusion and optimization for superior machine learning prediction of type 2 diabetes mellitus
Shaherin Basith, Balachandran Manavalan, Gwang Lee
Methods (2025)
Closed Access
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
A Comparative Analysis of Optical Biosensors for Rapid Detection of SARS‐CoV‐2 and Influenza
Rajesh W. Raut, Harshala S. Naik, Parvindar M. Sah, et al.
Biotechnology and Bioengineering (2025)
Closed Access
A comprehensive review and evaluation of machine learning-based approaches for identifying tumor T cell antigens
Watshara Shoombuatong, Saeed Ahmed, Sakib Mahmud, et al.
Computational Biology and Chemistry (2025), pp. 108440-108440
Closed Access
Prediction of anti-inflammatory peptides by a sequence-based stacking ensemble model named AIPStack
Hua Deng, Chaofeng Lou, Zengrui Wu, et al.
iScience (2022) Vol. 25, Iss. 9, pp. 104967-104967
Open Access | Times Cited: 21
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 Machine Learning Classification Model for Gold-Binding Peptides
Jose Isagani B. Janairo
ACS Omega (2022) Vol. 7, Iss. 16, pp. 14069-14073
Open Access | Times Cited: 12
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
Physicochemical properties-based hybrid machine learning technique for the prediction of SARS-CoV-2 T-cell epitopes as vaccine targets
Syed Nisar Hussain Bukhari, E. Elshiekh, Mohamed Abbas
PeerJ Computer Science (2024) Vol. 10, pp. e1980-e1980
Open Access | Times Cited: 1
A protein pre-trained model-based approach for the identification of the liquid-liquid phase separation (LLPS) proteins
Zahoor Ahmed, Kiran Shahzadi, Sebu Aboma Temesgen, et al.
International Journal of Biological Macromolecules (2024) Vol. 277, pp. 134146-134146
Closed Access | Times Cited: 1
Computational prediction of allergenic proteins based on multi-feature fusion
Bin Liu, Ziman Yang, Qing Liu, et al.
Frontiers in Genetics (2023) Vol. 14
Open Access | Times Cited: 3
Machine Learning Tools for Peptide Bioactivity Evaluation – Implications for Cell Culture Media Optimization and the Broader Cultivated Meat Industry
Kathy Sharon Isaac, Michelle Combe, Greg Potter, et al.
Current Research in Food Science (2024) Vol. 9, pp. 100842-100842
Open Access
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
ACP-Dnnel: Anti-coronavirus Peptides Prediction based on Deep Neural Network Ensemble Learning
Mingyou Liu, Hongmei Liu, Tao Wu, et al.
Research Square (Research Square) (2023)
Closed Access
EdeepSADPr: an extensive deep-learning architecture for prediction of the in situ crosstalks of serine phosphorylation and ADP-ribosylation
Haoqiang Jiang, Shipeng Shang, Yutong Sha, et al.
Frontiers in Cell and Developmental Biology (2023) Vol. 11
Open Access
AI based strategies for Covid-19 drug repurposing.
Sonakshi Srivastava, P Preeti, Trapti Sharma, et al.
(2022)
Open Access
Omics data analysis and integration for COVID-19 patients – editorial
Liang Cheng
Briefings in Bioinformatics (2022) Vol. 23, Iss. 6
Closed Access
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