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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:

Prediction of anticancer peptides based on an ensemble model of deep learning and machine learning using ordinal positional encoding
Qitong Yuan, Keyi Chen, Yimin Yu, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 1
Closed Access | Times Cited: 74

Showing 1-25 of 74 citing articles:

Confirming the statistically significant superiority of tree-based machine learning algorithms over their counterparts for tabular data
Shahadat Uddin, Haohui Lu
PLoS ONE (2024) Vol. 19, Iss. 4, pp. e0301541-e0301541
Open Access | Times Cited: 24
Effective multi-modal clustering method via skip aggregation network for parallel scRNA-seq and scATAC-seq data
Dayu Hu, Ke Liang, Zhibin Dong, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 2
Open Access | Times Cited: 21
Sequence based model using deep neural network and hybrid features for identification of 5-hydroxymethylcytosine modification
Salman Khan, Islam Uddin, Mukhtaj Khan, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 17
Predictive modelling and identification of key risk factors for stroke using machine learning
Ahmad Hassan, Saima Gulzar Ahmad, Ehsan Ullah Munir, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 16
The role and future prospects of artificial intelligence algorithms in peptide drug development
Zhiheng Chen, Ruoxi Wang, Junqi Guo, et al.
Biomedicine & Pharmacotherapy (2024) Vol. 175, pp. 116709-116709
Open Access | Times Cited: 15
Recent advances and applications of deep learning, electroencephalography, and modern analysis techniques in screening, evaluation, and mechanistic analysis of taste peptides
Lijun Su, Huizhuo Ji, Jianlei Kong, et al.
Trends in Food Science & Technology (2024) Vol. 150, pp. 104607-104607
Closed Access | Times Cited: 13
Bioactive Peptides Derived from Whey Proteins for Health and Functional Beverages
Margarita Saubenova, Yelena Oleinikova, Alexander Rapoport, et al.
Fermentation (2024) Vol. 10, Iss. 7, pp. 359-359
Open Access | Times Cited: 13
ACPPfel: Explainable deep ensemble learning for anticancer peptides prediction based on feature optimization
Mingyou Liu, Tao Wu, Xue Li, et al.
Frontiers in Genetics (2024) Vol. 15
Open Access | Times Cited: 12
Short-term load forecasting based on CEEMDAN and dendritic deep learning
Keyu Song, Yang Yu, Tengfei Zhang, et al.
Knowledge-Based Systems (2024) Vol. 294, pp. 111729-111729
Closed Access | Times Cited: 11
Cardiovascular Health Management in Diabetic Patients with Machine-Learning-Driven Predictions and Interventions
Rejath Jose, Faiz Syed, Anvin Thomas, et al.
Applied Sciences (2024) Vol. 14, Iss. 5, pp. 2132-2132
Open Access | Times Cited: 10
MA‐PEP: A novel anticancer peptide prediction framework with multimodal feature fusion based on attention mechanism
Liang Xiao, Haochen Zhao, Jianxin Wang
Protein Science (2024) Vol. 33, Iss. 4
Closed Access | Times Cited: 10
Dynamic Visualization of Computer-Aided Peptide Design for Cancer Therapeutics
Dan Hou, Haobin Zhou, Yuting Tang, et al.
Drug Design Development and Therapy (2025) Vol. Volume 19, pp. 1043-1065
Open Access | Times Cited: 1
Advancing Peptide-Based Cancer Therapy with AI: In-Depth Analysis of State-of-the-Art AI Models
Sadik Bhattarai, Hilal Tayara, Kil To Chong
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 13, pp. 4941-4957
Closed Access | Times Cited: 8
Using a hybrid neural network architecture for DNA sequence representation: A study on N4-methylcytosine sites
Van-Nui Nguyen, Trang-Thi Ho, Thu-Dung Doan, et al.
Computers in Biology and Medicine (2024) Vol. 178, pp. 108664-108664
Closed Access | Times Cited: 6
Graph Regularization Methods in Soft Detector Fusion
Addisson Salazar, Gonzalo Safont, Luis Vergara, et al.
IEEE Access (2023) Vol. 11, pp. 144747-144759
Open Access | Times Cited: 15
Histopathology image classification: highlighting the gap between manual analysis and AI automation
Refika Sultan Doğan, Bülent Yılmaz
Frontiers in Oncology (2024) Vol. 13
Open Access | Times Cited: 5
SumoPred-PLM: human SUMOylation and SUMO2/3 sites Prediction using Pre-trained Protein Language Model
Andrew Vargas Palacios, Pujan Acharya, Anthony S. Peidl, et al.
NAR Genomics and Bioinformatics (2024) Vol. 6, Iss. 1
Open Access | Times Cited: 5
Automatic Optimization of Deep Learning Training through Feature-Aware-Based Dataset Splitting
Somayeh Shahrabadi, Telmo Adão, Emanuel Peres, et al.
Algorithms (2024) Vol. 17, Iss. 3, pp. 106-106
Open Access | Times Cited: 5
CAPTURE: Comprehensive anti-cancer peptide predictor with a unique amino acid sequence encoder
Hina Ghafoor, Muhammad Nabeel Asim, Muhammad Ali Ibrahim, et al.
Computers in Biology and Medicine (2024) Vol. 176, pp. 108538-108538
Closed Access | Times Cited: 5
Contrastive learning for enhancing feature extraction in anticancer peptides
Byungjo Lee, Dongkwan Shin
Briefings in Bioinformatics (2024) Vol. 25, Iss. 3
Open Access | Times Cited: 4
AI-Assisted Rational Design and Activity Prediction of Biological Elements for Optimizing Transcription-Factor-Based Biosensors
Nana Ding, Zenan Yuan, Zheng Ma, et al.
Molecules (2024) Vol. 29, Iss. 15, pp. 3512-3512
Open Access | Times Cited: 4
Enhanced efficacy of combined VEGFR peptide–drug conjugate and anti-PD-1 antibody in treating hepatocellular carcinoma
Jiacheng Liu, Yaowei Bai, Xiaoming Liu, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
High-Accuracy Identification and Structure–Activity Analysis of Antioxidant Peptides via Deep Learning and Quantum Chemistry
Wanxing Li, Xuejing Liu, Yuanfa Liu, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access
BTFBS: Binding Prediction of Bacterial Transcription Factors and Binding Sites Based on Deep Learning
Bingbing Jin, Song Liang, Xiaoqian Liu, et al.
Mathematics (2025) Vol. 13, Iss. 4, pp. 589-589
Open Access
Bridging machine learning and peptide design for cancer treatment: a comprehensive review
Khosro Rezaee, Hossein Eslami
Artificial Intelligence Review (2025) Vol. 58, Iss. 5
Open Access
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