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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:

Potent antibiotic design via guided search from antibacterial activity evaluations
Lu Chen, Liang Yu, Lin Gao
Bioinformatics (2023) Vol. 39, Iss. 2
Open Access | Times Cited: 57

Showing 1-25 of 57 citing articles:

iAMP-Attenpred: a novel antimicrobial peptide predictor based on BERT feature extraction method and CNN-BiLSTM-Attention combination model
Wenxuan Xing, Jie Zhang, Chen Li, et al.
Briefings in Bioinformatics (2023) Vol. 25, Iss. 1
Open Access | Times Cited: 22
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
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
A BERT-based model for the prediction of lncRNA subcellular localization in Homo sapiens
Zhao‐Yue Zhang, Zheng Zhang, Xiucai Ye, et al.
International Journal of Biological Macromolecules (2024) Vol. 265, pp. 130659-130659
Open Access | Times Cited: 11
CODENET: A deep learning model for COVID-19 detection
Hong Ju, Yanyan Cui, Qiaosen Su, et al.
Computers in Biology and Medicine (2024) Vol. 171, pp. 108229-108229
Closed Access | Times Cited: 10
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
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
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
MGDM: Molecular generation using a multinomial diffusion model
Sisi Yuan, Chen Zhao, Jiuyong Li, et al.
Methods (2025)
Closed Access
ACP-GBDT: An improved anticancer peptide identification method with gradient boosting decision tree
Yanjuan Li, Ma Di, Dong Chen, et al.
Frontiers in Genetics (2023) Vol. 14
Open Access | Times Cited: 12
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
UMPPI: Unveiling Multilevel Protein–Peptide Interaction Prediction via Language Models
Shuwen Xiong, Jiajie Cai, Hua Shi, et al.
Journal of Chemical Information and Modeling (2025)
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
A Machine Learning Method to Identify Umami Peptide Sequences by Using Multiplicative LSTM Embedded Features
Jici Jiang, Jiayu Li, Junxian Li, et al.
Foods (2023) Vol. 12, Iss. 7, pp. 1498-1498
Open Access | Times Cited: 10
MFD–GDrug: multimodal feature fusion-based deep learning for GPCR–drug interaction prediction
Xingyue Gu, Junkai Liu, Yue Yu, et al.
Methods (2024) Vol. 223, pp. 75-82
Closed Access | Times Cited: 3
AtML: An Arabidopsis thaliana root cell identity recognition tool for medicinal ingredient accumulation
Shicong Yu, Lijia Liu, Hao Wang, et al.
Methods (2024)
Open Access | Times Cited: 3
Machine learning-based predictive model for abdominal diseases using physical examination datasets
Chen Wei, Yujie Zhang, Weili Wu, et al.
Computers in Biology and Medicine (2024) Vol. 173, pp. 108249-108249
Closed Access | Times Cited: 2
CFCN: An HLA-peptide Prediction Model based on Taylor Extension Theory and Multi-view Learning
Bing Rao, Bing Han, Leyi Wei, et al.
Current Bioinformatics (2024) Vol. 19, Iss. 10, pp. 977-990
Closed Access | Times Cited: 2
Advancing cancer driver gene detection via Schur complement graph augmentation and independent subspace feature extraction
Xinqian Ma, Zhen Li, Zhenya Du, et al.
Computers in Biology and Medicine (2024) Vol. 174, pp. 108484-108484
Closed Access | Times Cited: 2
MGDDI: A multi-scale graph neural networks for drug–drug interaction prediction
Guannan Geng, Lizhuang Wang, Yanwei Xu, et al.
Methods (2024) Vol. 228, pp. 22-29
Closed 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
TPpred-SC: multi-functional therapeutic peptide prediction based on multi-label supervised contrastive learning
Ke Yan, Hongwu Lv, Jiangyi Shao, et al.
Science China Information Sciences (2024) Vol. 67, Iss. 11
Closed Access | Times Cited: 2
Prediction of drug-target interactions via neural tangent kernel extraction feature matrix factorization model
Yu Wang, Yu Zhang, Jianchun Wang, et al.
Computers in Biology and Medicine (2023) Vol. 159, pp. 106955-106955
Closed Access | Times Cited: 5
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