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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:

SDBP-Pred: Prediction of single-stranded and double-stranded DNA-binding proteins by extending consensus sequence and K-segmentation strategies into PSSM
Farman Ali, Muhammad Arif, Zaheer Ullah Khan, et al.
Analytical Biochemistry (2019) Vol. 589, pp. 113494-113494
Closed Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

Deep-AntiFP: Prediction of antifungal peptides using distanct multi-informative features incorporating with deep neural networks
Ashfaq Ahmad, Shahid Akbar, Salman Khan, et al.
Chemometrics and Intelligent Laboratory Systems (2020) Vol. 208, pp. 104214-104214
Closed Access | Times Cited: 85
XGB-DrugPred: computational prediction of druggable proteins using eXtreme gradient boosting and optimized features set
Rahu Sikander, Ali Ghulam, Farman Ali
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 63
DBP-CNN: Deep learning-based prediction of DNA-binding proteins by coupling discrete cosine transform with two-dimensional convolutional neural network
Omar Barukab, Farman Ali, Wajdi Alghamdi, et al.
Expert Systems with Applications (2022) Vol. 197, pp. 116729-116729
Closed Access | Times Cited: 44
Prediction of Antiviral peptides using transform evolutionary & SHAP analysis based descriptors by incorporation with ensemble learning strategy
Shahid Akbar, Farman Ali, Maqsood Hayat, et al.
Chemometrics and Intelligent Laboratory Systems (2022) Vol. 230, pp. 104682-104682
Closed Access | Times Cited: 40
AFP-SPTS: An Accurate Prediction of Antifreeze Proteins Using Sequential and Pseudo-Tri-Slicing Evolutionary Features with an Extremely Randomized Tree
Adnan Khan, Jamal Uddin, Farman Ali, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 3, pp. 826-834
Closed Access | Times Cited: 29
DEEP-EP: Identification of epigenetic protein by ensemble residual convolutional neural network for drug discovery
Farman Ali, Abdullah Almuhaimeed, Majdi Khalid, et al.
Methods (2024) Vol. 226, pp. 49-53
Closed Access | Times Cited: 13
Deep-VEGF: deep stacked ensemble model for prediction of vascular endothelial growth factor by concatenating gated recurrent unit with two-dimensional convolutional neural network
Raed Alsini, Abdullah Almuhaimeed, Farman Ali, et al.
Journal of Biomolecular Structure and Dynamics (2024), pp. 1-11
Closed Access | Times Cited: 12
An ensemble computational model for prediction of clathrin protein by coupling machine learning with discrete cosine transform
Majdi Khalid, Farman Ali, Wajdi Alghamdi, et al.
Journal of Biomolecular Structure and Dynamics (2024), pp. 1-9
Closed Access | Times Cited: 9
Comprehensive Analysis of Computational Models for Prediction of Anticancer Peptides Using Machine Learning and Deep Learning
Farman Ali, Norazlin Ibrahim, Raed Alsini, et al.
Archives of Computational Methods in Engineering (2025)
Closed Access | Times Cited: 1
StackACPred: Prediction of anticancer peptides by integrating optimized multiple feature descriptors with stacked ensemble approach
Muhammad Arif, Saeed Ahmed, Fang Ge, et al.
Chemometrics and Intelligent Laboratory Systems (2021) Vol. 220, pp. 104458-104458
Closed Access | Times Cited: 55
DBP-DeepCNN: Prediction of DNA-binding proteins using wavelet-based denoising and deep learning
Farman Ali, Harish Kumar, Shruti Patil, et al.
Chemometrics and Intelligent Laboratory Systems (2022) Vol. 229, pp. 104639-104639
Closed Access | Times Cited: 29
VEGF-ERCNN: A Deep Learning-based Model for Prediction of Vascular Endothelial Growth Factor using Ensemble Residual CNN
Farman Ali, Majdi Khalid, Atef Masmoudi, et al.
Journal of Computational Science (2024), pp. 102448-102448
Closed Access | Times Cited: 7
DBP-GAPred: An intelligent method for prediction of DNA-binding proteins types by enhanced evolutionary profile features with ensemble learning
Omar Barukab, Farman Ali, Sher Afzal Khan
Journal of Bioinformatics and Computational Biology (2021) Vol. 19, Iss. 04, pp. 2150018-2150018
Closed Access | Times Cited: 33
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
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
RUDEUS, a machine learning classification system to study DNA-Binding proteins
David Medina-Ortiz, Gabriel Cabas-Mora, Iván Moya-Barría, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 5
Improved prediction of DNA and RNA binding proteins with deep learning models
Siwen Wu, Jun‐tao Guo
Briefings in Bioinformatics (2024) Vol. 25, Iss. 4
Open Access | Times Cited: 5
StackDPPred: Multiclass prediction of defensin peptides using stacked ensemble learning with optimized features
Muhammad Arif, Saleh Musleh, Ali Ghulam, et al.
Methods (2024) Vol. 230, pp. 129-139
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
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