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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:

cACP-2LFS: Classification of Anticancer Peptides Using Sequential Discriminative Model of KSAAP and Two-Level Feature Selection Approach
Shahid Akbar, Maqsood Hayat, Muhammad Tahir, et al.
IEEE Access (2020) Vol. 8, pp. 131939-131948
Open Access | Times Cited: 47

Showing 1-25 of 47 citing articles:

cACP-DeepGram: Classification of anticancer peptides via deep neural network and skip-gram-based word embedding model
Shahid Akbar, Maqsood Hayat, Muhammad Tahir, et al.
Artificial Intelligence in Medicine (2022) Vol. 131, pp. 102349-102349
Closed Access | Times Cited: 94
AIPs-SnTCN: Predicting Anti-Inflammatory Peptides Using fastText and Transformer Encoder-Based Hybrid Word Embedding with Self-Normalized Temporal Convolutional Networks
Ali Raza, Jamal Uddin, Abdullah Almuhaimeed, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 21, pp. 6537-6554
Closed Access | Times Cited: 73
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: 68
pAtbP-EnC: Identifying Anti-Tubercular Peptides Using Multi-Feature Representation and Genetic Algorithm-Based Deep Ensemble Model
Shahid Akbar, Ali Raza, Tamara Al Shloul, et al.
IEEE Access (2023) Vol. 11, pp. 137099-137114
Open Access | Times Cited: 53
Optimizing Gene Selection and Cancer Classification with Hybrid Sine Cosine and Cuckoo Search Algorithm
Abrar Yaqoob, Navneet Kumar Verma, Rabia Musheer Aziz
Journal of Medical Systems (2024) Vol. 48, Iss. 1
Closed Access | Times Cited: 38
ToxinPred 3.0: An improved method for predicting the toxicity of peptides
Anand Singh Rathore, Shubham Choudhury, Akanksha Arora, et al.
Computers in Biology and Medicine (2024) Vol. 179, pp. 108926-108926
Open Access | Times Cited: 37
pACP-HybDeep: predicting anticancer peptides using binary tree growth based transformer and structural feature encoding with deep-hybrid learning
Muhammad Khalil Shahid, Maqsood Hayat, Wajdi Alghamdi, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 3
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
iAtbP-Hyb-EnC: Prediction of antitubercular peptides via heterogeneous feature representation and genetic algorithm based ensemble learning model
Shahid Akbar, Ashfaq Ahmad, Maqsood Hayat, et al.
Computers in Biology and Medicine (2021) Vol. 137, pp. 104778-104778
Closed Access | Times Cited: 76
AFP-CMBPred: Computational identification of antifreeze proteins by extending consensus sequences into multi-blocks evolutionary information
Farman Ali, Shahid Akbar, Ali Ghulam, et al.
Computers in Biology and Medicine (2021) Vol. 139, pp. 105006-105006
Closed Access | Times Cited: 68
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: 38
Identifying Neuropeptides via Evolutionary and Sequential Based Multi-Perspective Descriptors by Incorporation With Ensemble Classification Strategy
Shahid Akbar, Heba G. Mohamed, Hashim Ali, et al.
IEEE Access (2023) Vol. 11, pp. 49024-49034
Open Access | Times Cited: 31
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
MA‐PEP: A novel anticancer peptide prediction framework with multimodal feature fusion based on attention mechanism
Liang Xiao, Haochen Zhao, Jianxin Wang
Protein Science (2024) Vol. 33, Iss. 4
Closed Access | Times Cited: 10
Learning embedding features based on multisense-scaled attention architecture to improve the predictive performance of anticancer peptides
Wenjia He, Yu Wang, Lizhen Cui, et al.
Bioinformatics (2021) Vol. 37, Iss. 24, pp. 4684-4693
Closed Access | Times Cited: 42
ACP-MLC: A two-level prediction engine for identification of anticancer peptides and multi-label classification of their functional types
Hua Deng, Meng Ding, Yimeng Wang, et al.
Computers in Biology and Medicine (2023) Vol. 158, pp. 106844-106844
Closed Access | Times Cited: 21
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: 7
In Silico Prediction of New Inhibitors for Kirsten Rat Sarcoma G12D Cancer Drug Target Using Machine Learning-Based Virtual Screening, Molecular Docking, and Molecular Dynamic Simulation Approaches
Amar Ajmal, Muhammad Danial, Maryam Zulfat, et al.
Pharmaceuticals (2024) Vol. 17, Iss. 5, pp. 551-551
Open 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: 24
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: 5
Raman Spectroscopy and AI Applications in Cancer Grading: An Overview
Pietro Manganelli Conforti, Gianmarco Lazzini, Paolo Russo, et al.
IEEE Access (2024) Vol. 12, pp. 54816-54852
Open Access | Times Cited: 5
SFS-AGGL: Semi-Supervised Feature Selection Integrating Adaptive Graph with Global and Local Information
Yugen Yi, Haoming Zhang, Ningyi Zhang, et al.
Information (2024) Vol. 15, Iss. 1, pp. 57-57
Open Access | Times Cited: 4
Bridging machine learning and peptide design for cancer treatment: a comprehensive review
Khosro Rezaee, Hossein Eslami
Artificial Intelligence Review (2025) Vol. 58, Iss. 5
Open Access
pACPs-DNN: Predicting Anticancer peptides using Novel Peptide Transformation into Evolutionary and Structure Matrix-based Images with Self-attention Deep Learning Model
Muhammad Khalil Shahid, Maqsood Hayat, Ali Raza, et al.
Computational Biology and Chemistry (2025), pp. 108441-108441
Closed Access
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