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:

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

Showing 12 citing articles:

AIPs-DeepEnC-GA: Predicting Anti-inflammatory Peptides using Embedded Evolutionary and Sequential Feature Integration with Genetic Algorithm based Deep Ensemble Model
Ali Raza, Jamal Uddin, Quan Zou, et al.
Chemometrics and Intelligent Laboratory Systems (2024), pp. 105239-105239
Closed Access | Times Cited: 19

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

XGBoost-enhanced ensemble model using discriminative hybrid features for the prediction of sumoylation sites
Salman Khan, Sumaiya Noor, Tahir Javed, et al.
BioData Mining (2025) Vol. 18, Iss. 1
Open Access | Times Cited: 2

DeepAIPs-Pred: Predicting Anti-Inflammatory Peptides Using Local Evolutionary Transformation Images and Structural Embedding-Based Optimal Descriptors with Self-Normalized BiTCNs
Shahid Akbar, Matee Ullah, Ali Raza, et al.
Journal of Chemical Information and Modeling (2024)
Closed Access | Times Cited: 5

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

Optimizing performance of parallel computing platforms for large-scale genome data analysis
Sumaiya Noor, Hamid Hussain Awan, Amber Sarwar Hashmi, et al.
Computing (2025) Vol. 107, Iss. 3
Closed Access

Classification of pulmonary diseases from chest radiographs using deep transfer learning
M. Nasir Shamas, Huma Tauseef, Ashfaq Ahmad, et al.
PLoS ONE (2025) Vol. 20, Iss. 3, pp. e0316929-e0316929
Open Access

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: 3

AI based predictive acceptability model for effective vaccine delivery in healthcare systems
Muhammad Shuaib Qureshi, Muhammad Bilal Qureshi, Urooj Iqrar, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2

AISMPred: A Machine Learning Approach for Predicting Anti-Inflammatory Small Molecules
Subathra Selvam, Priya Dharshini Balaji, Honglae Sohn, et al.
Pharmaceuticals (2024) Vol. 17, Iss. 12, pp. 1693-1693
Open Access

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