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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:

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: 26

Showing 1-25 of 26 citing articles:

Recent Advances in Machine Learning-Based Models for Prediction of Antiviral Peptides
Farman Ali, Harish Kumar, Wajdi Alghamdi, et al.
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 7, pp. 4033-4044
Open Access | Times Cited: 25
Prediction of Amyloid Proteins using Embedded Evolutionary & Ensemble Feature Selection based Descriptors with eXtreme Gradient Boosting Model
Shahid Akbar, Hashim Ali, Ashfaq Ahmad, et al.
IEEE Access (2023) Vol. 11, pp. 39024-39036
Open Access | Times Cited: 22
Deep learning for lungs cancer detection: a review
Rabia Javed, Tahir Abbas, Ali Haider Khan, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 8
Open Access | Times Cited: 13
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: 11
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: 10
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: 8
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
IP-GCN: A Deep Learning Model for Prediction of Insulin using Graph Convolutional Network for Diabetes Drug Design
Farman Ali, Majdi Khalid, Abdullah Almuhaimeed, et al.
Journal of Computational Science (2024) Vol. 81, pp. 102388-102388
Closed Access | Times Cited: 7
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: 27
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: 24
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: 23
BiCaps-DBP: Predicting DNA-binding proteins from protein sequences using Bi-LSTM and a 1D-capsule network
Muhammad Khaerul Naim Mursalim, Tati L.E.R. Mengko, Rukman Hertadi, et al.
Computers in Biology and Medicine (2023) Vol. 163, pp. 107241-107241
Closed Access | Times Cited: 14
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
Leveraging deep learning for epigenetic protein prediction: a novel approach for early lung cancer diagnosis and drug discovery
Farman Ali, Abdullah Almuhaimeed, Wajdi Alghamdi, et al.
Health Information Science and Systems (2025) Vol. 13, Iss. 1
Closed Access
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: 21
Classifying DNA-Binding Proteins using GRU, Bi-LSTM, and CapsNet
Muhammad Khaerul Naim Mursalim, Akhmad Rezki Purnajaya, Raymond Erz Saragih
Next research. (2025), pp. 100177-100177
Closed Access
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: 3
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
ProkDBP: Toward more precise identification of prokaryoticDNAbinding proteins
Upendra Kumar Pradhan, Prabina Kumar Meher, Sanchita Naha, et al.
Protein Science (2024) Vol. 33, Iss. 6
Closed Access | Times Cited: 2
PreDBP-PLMs: Prediction of DNA-binding proteins based on pre-trained protein language models and convolutional neural networks
Dawei Qi, Chen Song, Taigang Liu
Analytical Biochemistry (2024) Vol. 694, pp. 115603-115603
Closed Access | Times Cited: 2
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: 2
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: 2
EmbedCaps-DBP: Predicting DNA-Binding Proteins Using Protein Sequence Embedding and Capsule Network
Muhammad Khaerul Naim, Tati L.E.R. Mengko, Rukman Hertadi, et al.
IEEE Access (2023) Vol. 11, pp. 121256-121268
Open Access | Times Cited: 2
Machine Learning for the Discovery of DNA‐binding Proteins in Plants
Upendra Kumar Pradhan, Prabina Kumar Meher, P. K. Gupta
(2024), pp. 299-319
Closed Access
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