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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.

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Showing 1-25 of 52 citing articles:

Accurately identifying hemagglutinin using sequence information and machine learning methods
Xidan Zou, Liping Ren, Peiling Cai, et al.
Frontiers in Medicine (2023) Vol. 10
Open Access | Times Cited: 68
DisoFLAG: accurate prediction of protein intrinsic disorder and its functions using graph-based interaction protein language model
Yihe Pang, Bin Liu
BMC Biology (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 12
Prediction of blood–brain barrier penetrating peptides based on data augmentation with Augur
Zhi-Feng Gu, Yu-Duo Hao, Tianyu Wang, et al.
BMC Biology (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 12
AGF-PPIS: A protein–protein interaction site predictor based on an attention mechanism and graph convolutional networks
Xiuhao Fu, Ye Yuan, Haoye Qiu, et al.
Methods (2024) Vol. 222, pp. 142-151
Closed Access | Times Cited: 11
A computational model of circRNA-associated diseases based on a graph neural network: prediction and case studies for follow-up experimental validation
Mengting Niu, Chunyu Wang, Zhanguo Zhang, et al.
BMC Biology (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 11
ac4C-AFL: A high-precision identification of human mRNA N4-acetylcytidine sites based on adaptive feature representation learning
Nhat Truong Pham, Annie Terrina Terrance, Young-Jun Jeon, et al.
Molecular Therapy — Nucleic Acids (2024) Vol. 35, Iss. 2, pp. 102192-102192
Open Access | Times Cited: 11
Identification, characterization and expression analysis of circRNA encoded by SARS-CoV-1 and SARS-CoV-2
Mengting Niu, Chunyu Wang, Yaojia Chen, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 2
Open Access | Times Cited: 9
PSAC-6mA: 6mA site identifier using self-attention capsule network based on sequence-positioning
Zheyu Zhou, Cuilin Xiao, Jinfen Yin, et al.
Computers in Biology and Medicine (2024) Vol. 171, pp. 108129-108129
Closed Access | Times Cited: 8
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
ERNIE-ac4C: A novel deep learning model for effectively predicting N4-acetylcytidine sites
Ronglin Lu, Jianbo Qiao, Kaixiang Li, et al.
Journal of Molecular Biology (2025), pp. 168978-168978
Closed Access | Times Cited: 1
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
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
msBERT-Promoter: a multi-scale ensemble predictor based on BERT pre-trained model for the two-stage prediction of DNA promoters and their strengths
Yazi Li, Xiaoman Wei, Qinglin Yang, et al.
BMC Biology (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 6
MucLiPred: Multi-Level Contrastive Learning for Predicting Nucleic Acid Binding Residues of Proteins
Jiashuo Zhang, Ruheng Wang, Leyi Wei
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 3, pp. 1050-1065
Closed Access | Times Cited: 5
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
Comprehensive wheat lodging detection under different UAV heights using machine/deep learning models
Jianing Long, Zhao Zhang, Qu Zhang, et al.
Computers and Electronics in Agriculture (2025) Vol. 231, pp. 109972-109972
Closed 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
Identification of RNA‐dependent liquid‐liquid phase separation proteins using an artificial intelligence strategy
Zahoor Ahmed, Kiran Shahzadi, Yan-Ting Jin, et al.
PROTEOMICS (2024) Vol. 24, Iss. 21-22
Closed Access | Times Cited: 4
Unveiling the Potential Pattern Representation of RNA 5-Methyluridine Modification Sites Through a Novel Feature Fusion Model Leveraging Convolutional Neural Network and Tetranucleotide Composition
Waleed Alam, Muhammad Tahir, Shahid Hussain, et al.
IEEE Access (2024) Vol. 12, pp. 10023-10035
Open Access | Times Cited: 3
Deep-m5U: a deep learning-based approach for RNA 5-methyluridine modification prediction using optimized feature integration
Sumaiya Noor, Afshan Naseem, Hamid Hussain Awan, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 3
m5U-GEPred: prediction of RNA 5-methyluridine sites based on sequence-derived and graph embedding features
Zhongxing Xu, Xuan Wang, Jia Meng, et al.
Frontiers in Microbiology (2023) Vol. 14
Open Access | Times Cited: 7
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
Excavation of gene markers associated with pancreatic ductal adenocarcinoma based on interrelationships of gene expression
Zhao‐Yue Zhang, Zi‐Jie Sun, Dong Gao, et al.
IET Systems Biology (2024)
Open Access | Times Cited: 2
The prediction of Recombination Hotspot Based on Automated Machine Learning
Dong-Xin Ye, Jun-Wen Yu, Rui Li, et al.
Journal of Molecular Biology (2024), pp. 168653-168653
Closed Access | Times Cited: 2
IIFS: An improved incremental feature selection method for protein sequence processing
Chaolu Meng, Ye Yuan, Haiyan Zhao, et al.
Computers in Biology and Medicine (2023) Vol. 167, pp. 107654-107654
Closed Access | Times Cited: 5
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