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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:

iTTCA-RF: a random forest predictor for tumor T cell antigens
Shihu Jiao, Quan Zou, Huannan Guo, et al.
Journal of Translational Medicine (2021) Vol. 19, Iss. 1
Open Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

Adventures in data analysis: a systematic review of Deep Learning techniques for pattern recognition in cyber-physical-social systems
Zahra Mohtasham‐Amiri, Arash Heidari, Nima Jafari Navimipour, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 8, pp. 22909-22973
Closed Access | Times Cited: 86
CRBPDL: Identification of circRNA-RBP interaction sites using an ensemble neural network approach
Mengting Niu, Quan Zou, Chen Lin
PLoS Computational Biology (2022) Vol. 18, Iss. 1, pp. e1009798-e1009798
Open Access | Times Cited: 45
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
Protein–DNA/RNA interactions: Machine intelligence tools and approaches in the era of artificial intelligence and big data
Feifei Cui, Zilong Zhang, Chen Cao, et al.
PROTEOMICS (2022) Vol. 22, Iss. 8
Closed Access | Times Cited: 30
IF-AIP: A machine learning method for the identification of anti-inflammatory peptides using multi-feature fusion strategy
Saima Gaffar, Mir Tanveerul Hassan, Hilal Tayara, et al.
Computers in Biology and Medicine (2023) Vol. 168, pp. 107724-107724
Closed Access | Times Cited: 21
An integrative machine learning model for the identification of tumor T-cell antigens
Mir Tanveerul Hassan, Hilal Tayara, Kil To Chong
Biosystems (2024) Vol. 237, pp. 105177-105177
Closed Access | Times Cited: 6
IMPROVE: a feature model to predict neoepitope immunogenicity through broad-scale validation of T-cell recognition
Annie Borch, Ibel Carri, Birkir Reynisson, et al.
Frontiers in Immunology (2024) Vol. 15
Open Access | Times Cited: 6
DeepMC-iNABP: Deep learning for multiclass identification and classification of nucleic acid-binding proteins
Feifei Cui, Shuang Li, Zilong Zhang, et al.
Computational and Structural Biotechnology Journal (2022) Vol. 20, pp. 2020-2028
Open Access | Times Cited: 24
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
In Silico Methods for Assessing Cancer Immunogenicity—A Comparison Between Peptide and Protein Models
Stanislav Sotirov, Ivan Dimitrov
Applied Sciences (2025) Vol. 15, Iss. 8, pp. 4123-4123
Open Access
Sa-TTCA: An SVM-based approach for tumor T-cell antigen classification using features extracted from biological sequencing and natural language processing
Thi-Oanh Tran, Nguyen Quoc Khanh Le
Computers in Biology and Medicine (2024) Vol. 174, pp. 108408-108408
Closed Access | Times Cited: 4
MultiFeatVotPIP: a voting-based ensemble learning framework for predicting proinflammatory peptides
Chaorui Yan, Aoyun Geng, Zhuoyu Pan, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 6
Open Access | Times Cited: 4
Sequence-Based Intelligent Model for Identification of Tumor T Cell Antigens Using Fusion Features
N. Bibi, Mukhtaj Khan, Salman Khan, et al.
IEEE Access (2024) Vol. 12, pp. 155040-155051
Open Access | Times Cited: 4
Machine learning potential predictor of idiopathic pulmonary fibrosis
Chenchun Ding, Quan Liao, Renjie Zuo, et al.
Frontiers in Genetics (2025) Vol. 15
Open Access
Vegvisir: Probabilistic Model (VAE) for Viral T-Cell Epitope Prediction
Lys Sanz Moreta, Ibel Carri, Heli M. Garcia Alvarez, et al.
Lecture notes in computer science (2025), pp. 112-130
Closed Access
Empirical comparison and recent advances of computational prediction of hormone binding proteins using machine learning methods
Hasan Zulfiqar, Zhiling Guo, Bakanina Kissanga Grace-Mercure, et al.
Computational and Structural Biotechnology Journal (2023) Vol. 21, pp. 2253-2261
Open Access | Times Cited: 10
Tumor-Derived Antigenic Peptides as Potential Cancer Vaccines
Stanislav Sotirov, Ivan Dimitrov
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 9, pp. 4934-4934
Open Access | Times Cited: 3
Risk prediction of diabetes and pre-diabetes based on physical examination data
Yumei Han, Hui Yang, Qin-Lai Huang, et al.
Mathematical Biosciences & Engineering (2022) Vol. 19, Iss. 4, pp. 3597-3608
Open Access | Times Cited: 14
PSRTTCA: A new approach for improving the prediction and characterization of tumor T cell antigens using propensity score representation learning
Phasit Charoenkwan, Chonlatip Pipattanaboon, Chanin Nantasenamat, et al.
Computers in Biology and Medicine (2022) Vol. 152, pp. 106368-106368
Closed Access | Times Cited: 14
AIPPT: Predicts anti-inflammatory peptides using the most characteristic subset of bases and sequences by stacking ensemble learning strategies
Ruiqi Liu, Xiuhao Fu, Shankai Yan, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2023), pp. 23-29
Closed Access | Times Cited: 7
Application of Machine Learning Algorithms for Prediction of Tumor T-Cell Immunogens
Stanislav Sotirov, Ivan Dimitrov
Applied Sciences (2024) Vol. 14, Iss. 10, pp. 4034-4034
Open Access | Times Cited: 2
A random forest model for predicting exosomal proteins using evolutionary information and motifs
Akanksha Arora, Sumeet Patiyal, Neelam Sharma, et al.
PROTEOMICS (2023) Vol. 24, Iss. 6
Open Access | Times Cited: 6
AAPred-CNN: Accurate predictor based on deep convolution neural network for identification of anti-angiogenic peptides
Changhang Lin, Lei Wang, Lei Shi
Methods (2022) Vol. 204, pp. 442-448
Closed Access | Times Cited: 10
Random forest classification algorithm for medical industry data
Christodoulos Vlachas, Lazaros Damianos, Nikolaos Gousetis, et al.
SHS Web of Conferences (2022) Vol. 139, pp. 03008-03008
Open Access | Times Cited: 9
HKAM-MKM: A hybrid kernel alignment maximization-based multiple kernel model for identifying DNA-binding proteins
Shulin Zhao, Yijie Ding, Xiaobin Liu, et al.
Computers in Biology and Medicine (2022) Vol. 145, pp. 105395-105395
Closed Access | Times Cited: 8
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