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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:

ACP-2DCNN: Deep learning-based model for improving prediction of anticancer peptides using two-dimensional convolutional neural network
Ali Ghulam, Farman Ali, Rahu Sikander, et al.
Chemometrics and Intelligent Laboratory Systems (2022) Vol. 226, pp. 104589-104589
Closed Access | Times Cited: 52

Showing 1-25 of 52 citing articles:

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: 28
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: 26
Comprehensive Analysis of Computational Methods for Predicting Anti-inflammatory Peptides
Ali Raza, Jamal Uddin, Shahid Akbar, et al.
Archives of Computational Methods in Engineering (2024) Vol. 31, Iss. 6, pp. 3211-3229
Closed Access | Times Cited: 12
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: 12
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 efficient consolidation of word embedding and deep learning techniques for classifying anticancer peptides: FastText+BiLSTM
Onur Karakaya, Zeynep Hilal Kilimci
PeerJ Computer Science (2024) Vol. 10, pp. e1831-e1831
Open 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
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
Deepro-Glu: combination of convolutional neural network and Bi-LSTM models using ProtBert and handcrafted features to identify lysine glutarylation sites
Xiao Wang, Zhaoyuan Ding, Rong Wang, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 2
Closed Access | Times Cited: 18
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: 8
ACP-ESM: A novel framework for classification of anticancer peptides using protein-oriented transformer approach
Zeynep Hilal Kilimci, Mustafa Yalçın
Artificial Intelligence in Medicine (2024) Vol. 156, pp. 102951-102951
Open Access | Times Cited: 8
Metaverse Applications in Bioinformatics: A Machine Learning Framework for the Discrimination of Anti-Cancer Peptides
Sufyan Danish, Asfandyar Khan, L. Minh Dang, et al.
Information (2024) Vol. 15, Iss. 1, pp. 48-48
Open Access | Times Cited: 6
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: 6
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
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: 25
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
Enhancing the Breast Histopathology Image Analysis for Cancer Detection Using Variational Autoencoder
Harsh Vardhan Guleria, Ali Mazhar Luqmani, Harsh Devendra Kothari, et al.
International Journal of Environmental Research and Public Health (2023) Vol. 20, Iss. 5, pp. 4244-4244
Open Access | Times Cited: 15
StackTHPred: Identifying Tumor-Homing Peptides through GBDT-Based Feature Selection with Stacking Ensemble Architecture
Jiahui Guan, Lantian Yao, Chia‐Ru Chung, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 12, pp. 10348-10348
Open Access | Times Cited: 11
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
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
ACP‐DPE: A Dual‐Channel Deep Learning Model for Anticancer Peptide Prediction
Guohua Huang, Yujie Cao, Qi Dai, et al.
IET Systems Biology (2025) Vol. 19, Iss. 1
Open Access
Forecasting Gas Well Classification Based on a Two-Dimensional Convolutional Neural Network Deep Learning Model
Chunlan Zhao, Ying Jia, Yao Qu, et al.
Processes (2024) Vol. 12, Iss. 5, pp. 878-878
Open Access | Times Cited: 3
StackAHTPs: An explainable antihypertensive peptides identifier based on heterogeneous features and stacked learning approach
Ali Ghulam, Muhammad Arif, Ahsanullah Unar, et al.
IET Systems Biology (2025) Vol. 19, Iss. 1
Open Access
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