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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:

Advancing the accuracy of SARS-CoV-2 phosphorylation site detection via meta-learning approach
Nhat Truong Pham, Le Thi Phan, Ji-Min Seo, et al.
Briefings in Bioinformatics (2023) Vol. 25, Iss. 1
Open Access | Times Cited: 20

Showing 20 citing articles:

mACPpred 2.0: Stacked Deep Learning for Anticancer Peptide Prediction with Integrated Spatial and Probabilistic Feature Representations
Vinoth Kumar Sangaraju, Nhat Truong Pham, Leyi Wei, et al.
Journal of Molecular Biology (2024) Vol. 436, Iss. 17, pp. 168687-168687
Closed Access | Times Cited: 10
DOGpred: A Novel Deep Learning Framework for Accurate Identification of Human O-linked Threonine Glycosylation Sites
Ki Wook Lee, Nhat Truong Pham, Hye Jung Min, et al.
Journal of Molecular Biology (2025), pp. 168977-168977
Closed Access | Times Cited: 1
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
The Dawn of a New Pharmaceutical Epoch: Can AI and Robotics Reshape Drug Formulation?
Pauric Bannigan, Riley J. Hickman, Alán Aspuru–Guzik, et al.
Advanced Healthcare Materials (2024) Vol. 13, Iss. 29
Open Access | Times Cited: 5
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
Identifying Protein-Nucleotide Binding Residues via Grouped Multi-task Learning and Pre-trained Protein Language Models
Jia‐shun Wu, Yan Liu, Ying Zhang, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access
Conotoxins: Classification, Prediction, and Future Directions in Bioinformatics
Rui Li, Junwen Yu, Dong-Xin Ye, et al.
Toxins (2025) Vol. 17, Iss. 2, pp. 78-78
Open Access
DrugPred: An ensemble learning model based on ESM2 for predicting potential druggable proteins
Hongqi Zhang, Shanghua Liu, Jun-Wen Yu, et al.
Future Generation Computer Systems (2025), pp. 107801-107801
Closed Access
PhosBERT: A self-supervised learning model for identifying phosphorylation sites in SARS-CoV-2-infected human cells
Yong Li, Ru Gao, Shan Liu, et al.
Methods (2024) Vol. 230, pp. 140-146
Closed Access | Times Cited: 4
E-MuLA: An Ensemble Multi-Localized Attention Feature Extraction Network for Viral Protein Subcellular Localization
Grace-Mercure Bakanina Kissanga, Hasan Zulfiqar, Shenghan Gao, et al.
Information (2024) Vol. 15, Iss. 3, pp. 163-163
Open Access | Times Cited: 2
mHPpred: Accurate identification of peptide hormones using multi-view feature learning
Shaherin Basith, Vinoth Kumar Sangaraju, Balachandran Manavalan, et al.
Computers in Biology and Medicine (2024) Vol. 183, pp. 109297-109297
Closed Access | Times Cited: 2
METnet: A novel deep learning model predicting MET dysregulation in non-small-cell lung cancer on computed tomography images
Yige Sun, Jirui Guo, Yang Liu, et al.
Computers in Biology and Medicine (2024) Vol. 171, pp. 108136-108136
Closed Access | Times Cited: 1
RDscan: Extracting RNA-disease relationship from the literature based on pre-training model
Yang Zhang, Yu Yang, Liping Ren, et al.
Methods (2024) Vol. 228, pp. 48-54
Closed Access | Times Cited: 1
Prediction of cell-type-specific cohesin-mediated chromatin loops based on chromatin state
Li Liu, Ranran Jia, Rui Hou, et al.
Methods (2024) Vol. 226, pp. 151-160
Closed 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
MST-m6A: A Novel Multi-Scale Transformer-based Framework for Accurate Prediction of m6A Modification Sites Across Diverse Cellular Contexts
Qiaosen Su, Le Thi Phan, Nhat Truong Pham, et al.
Journal of Molecular Biology (2024), pp. 168856-168856
Closed Access | Times Cited: 1
Three-dimensional morphology scoring of hepatocellular carcinoma stratifies prognosis and immune infiltration
Xinxin Wang, Can Yu, Yucheng Sun, et al.
Computers in Biology and Medicine (2024) Vol. 172, pp. 108253-108253
Closed Access
Deciphering the Complex Characterization of Coding LncRNA
Tianyuan Liu, Xiucai Ye, Tetsuya Sakurai
2022 International Joint Conference on Neural Networks (IJCNN) (2024), pp. 1-8
Closed Access
Predicting cyclins based on key features and machine learning methods
Chengyan Wu, Zhi‐Xue Xu, Nan Li, et al.
Methods (2024)
Closed Access
Empirical Comparison and Analysis of Artificial Intelligence-Based Methods for Identifying Phosphorylation Sites of SARS-CoV-2 Infection
Hongyan Lai, Tao Zhu, Sijia Xie, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 24, pp. 13674-13674
Open Access
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