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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:

iAFPs-EnC-GA: Identifying antifungal peptides using sequential and evolutionary descriptors based multi-information fusion and ensemble learning approach
Ashfaq Ahmad, Shahid Akbar, Muhammad Tahir, et al.
Chemometrics and Intelligent Laboratory Systems (2022) Vol. 222, pp. 104516-104516
Closed Access | Times Cited: 69

Showing 26-50 of 69 citing articles:

Target-DBPPred: An intelligent model for prediction of DNA-binding proteins using discrete wavelet transform based compression and light eXtreme gradient boosting
Farman Ali, Harish Kumar, Shruti Patil, et al.
Computers in Biology and Medicine (2022) Vol. 145, pp. 105533-105533
Closed Access | Times Cited: 28
Prediction of antifreeze proteins using machine learning
Adnan Khan, Jamal Uddin, Farman Ali, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 26
DBP-iDWT: Improving DNA-Binding Proteins Prediction Using Multi-Perspective Evolutionary Profile and Discrete Wavelet Transform
Farman Ali, Omar Barukab, Ajay B. Gadicha, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-8
Open Access | Times Cited: 25
Deep-GHBP: Improving prediction of Growth Hormone-binding proteins using deep learning model
Farman Ali, Harish Kumar, Shruti Patil, et al.
Biomedical Signal Processing and Control (2022) Vol. 78, pp. 103856-103856
Closed Access | Times Cited: 23
Comparative analysis of the existing methods for prediction of antifreeze proteins
Adnan Khan, Jamal Uddin, Farman Ali, et al.
Chemometrics and Intelligent Laboratory Systems (2022) Vol. 232, pp. 104729-104729
Closed Access | Times Cited: 23
Deep-AGP: Prediction of angiogenic protein by integrating two-dimensional convolutional neural network with discrete cosine transform
Farman Ali, Wajdi Alghamdi, Alaa Omran Almagrabi, et al.
International Journal of Biological Macromolecules (2023) Vol. 243, pp. 125296-125296
Closed Access | Times Cited: 16
Machine learning-based model for accurate identification of druggable proteins using light extreme gradient boosting
Omar Alghushairy, Farman Ali, Wajdi Alghamdi, et al.
Journal of Biomolecular Structure and Dynamics (2023) Vol. 42, Iss. 22, pp. 12330-12341
Closed Access | Times Cited: 16
Isolation and identification of anti-colorectal cancer peptides from walnut proteins and associated in silico analysis
Jing Xie, Zi-Shan Hong, Jingjing Dai, et al.
Journal of Functional Foods (2023) Vol. 112, pp. 105952-105952
Open Access | Times Cited: 14
Multi-headed Ensemble Residual CNN: A Powerful Tool for Fibroblast Growth Factor Prediction
Naif Almusallam, Farman Ali, Harish Kumar, et al.
Results in Engineering (2024) Vol. 24, pp. 103348-103348
Open Access | Times Cited: 6
Does lifelong learning matter for the subjective wellbeing of the elderly? A machine learning analysis on Singapore data
Zheng Fang, Nicholas Sim
PLoS ONE (2024) Vol. 19, Iss. 6, pp. e0303478-e0303478
Open Access | Times Cited: 5
Deep‐GB: A novel deep learning model for globular protein prediction using CNN‐BiLSTM architecture and enhanced PSSM with trisection strategy
Sonia Zouari, Farman Ali, Atef Masmoudi, et al.
IET Systems Biology (2024)
Open Access | Times Cited: 5
iDBP-PBMD: A machine learning model for detection of DNA-binding proteins by extending compression techniques into evolutionary profile
Ameen Banjar, Farman Ali, Omar Alghushairy, et al.
Chemometrics and Intelligent Laboratory Systems (2022) Vol. 231, pp. 104697-104697
Closed Access | Times Cited: 22
An interpretable machine learning framework for diagnosis and prognosis of COVID-19
Yongxian Fan, Meng Liu, Guicong Sun
PLoS ONE (2023) Vol. 18, Iss. 9, pp. e0291961-e0291961
Open Access | Times Cited: 13
E-CLEAP: An ensemble learning model for efficient and accurate identification of antimicrobial peptides
Si-Cheng Wang
PLoS ONE (2024) Vol. 19, Iss. 5, pp. e0300125-e0300125
Open Access | Times Cited: 4
An omics-driven computational model for angiogenic protein prediction: Advancing therapeutic strategies with Ens-deep-AGP
Naif Almusallam, Farman Ali, Atef Masmoudi, et al.
International Journal of Biological Macromolecules (2024), pp. 136475-136475
Closed Access | Times Cited: 4
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: 4
Multimodal adversarial representation learning for breast cancer prognosis prediction
Xiuquan Du, Yuefan Zhao
Computers in Biology and Medicine (2023) Vol. 157, pp. 106765-106765
Closed Access | Times Cited: 10
HGCPep: A Hypergraph-based Deep Learning Model for Enhancing Representation of Peptide Features in Cancer-associated ncPEPs Identification
Wentao Long, Zhongshen Li, Junru Jin, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Closed Access
Peptide classification landscape: An in-depth systematic literature review on peptide types, databases, datasets, predictors architectures and performance
Muhammad Nabeel Asim, Tayyaba Asif, Faiza Mehmood, et al.
Computers in Biology and Medicine (2025) Vol. 188, pp. 109821-109821
Closed Access
A Broad Ensemble Learning System for Drifting Stream Classification
Sepehr Bakhshi, Pouya Ghahramanian, Hamed Bonab, et al.
IEEE Access (2023) Vol. 11, pp. 89315-89330
Open Access | Times Cited: 9
Analysis and interpretability of machine learning models to classify thyroid disease
Sumya Akter, Hossen Asiful Mustafa
PLoS ONE (2024) Vol. 19, Iss. 5, pp. e0300670-e0300670
Open Access | Times Cited: 3
BERT-AmPEP60: A BERT-Based Transfer Learning Approach to Predict the Minimum Inhibitory Concentrations of Antimicrobial Peptides for Escherichia coli and Staphylococcus aureus
Jianxiu Cai, Jielu Yan, Chon-Wai Un, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access
How Machine Learning Helps in Combating Antimicrobial Resistance: A Review of AMP Analysis and Generation Methods
Khalit Musin, Elvina Asyanova
International Journal of Peptide Research and Therapeutics (2025) Vol. 31, Iss. 4
Closed Access
IPPF-FE: an integrated peptide and protein function prediction framework based on fused features and ensemble models
Han Yu, Xiaozhou Luo
Briefings in Bioinformatics (2022) Vol. 24, Iss. 1
Closed Access | Times Cited: 13
A bi-layer model for identification of piwiRNA using deep neural learning
Adnan Adnan, Hongya Wang, Farman Ali, et al.
Journal of Biomolecular Structure and Dynamics (2023) Vol. 42, Iss. 11, pp. 5725-5733
Closed Access | Times Cited: 8

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