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:

PUStackNGly: Positive-Unlabeled and Stacking Learning for N-Linked Glycosylation Site Prediction
Alhasan Alkuhlani, Walaa Gad, Mohamed Roushdy, et al.
IEEE Access (2022) Vol. 10, pp. 12702-12713
Open Access | Times Cited: 15

Showing 15 citing articles:

LMNglyPred: prediction of human N-linked glycosylation sites using embeddings from a pre-trained protein language model
Subash C. Pakhrin, Suresh Pokharel, Kiyoko F. Aoki‐Kinoshita, et al.
Glycobiology (2023) Vol. 33, Iss. 5, pp. 411-422
Closed Access | Times Cited: 23

EMNGly: predicting N-linked glycosylation sites using the language models for feature extraction
Xiaoyang Hou, Yu Wang, Dongbo Bu, et al.
Bioinformatics (2023) Vol. 39, Iss. 11
Open Access | Times Cited: 14

A hybrid Stacking-SMOTE model for optimizing the prediction of autistic genes
Eman H. Ismail, Walaa Gad, Mohamed Hashem
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 6

PTG-PLM: Predicting Post-Translational Glycosylation and Glycation Sites Using Protein Language Models and Deep Learning
Alhasan Alkuhlani, Walaa Gad, Mohamed Roushdy, et al.
Axioms (2022) Vol. 11, Iss. 9, pp. 469-469
Open Access | Times Cited: 9

GNNGLY: Graph Neural Networks for Glycan Classification
Alhasan Alkuhlani, Walaa Gad, Mohamed Roushdy, et al.
IEEE Access (2023) Vol. 11, pp. 51838-51847
Open Access | Times Cited: 5

Prediction of protein-carbohydrate binding sites from protein primary sequence
Quazi Farah Nawar, Md Muhaiminul Islam Nafi, Tasnim Nishat Islam, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1

N-GlycoPred: A hybrid deep learning model for accurate identification of N-glycosylation sites
Fengzhu Hu, Jie Gao, Jia Zheng, et al.
Methods (2024) Vol. 227, pp. 48-57
Closed Access | Times Cited: 1

HEC-ASD: a hybrid ensemble-based classification model for predicting autism spectrum disorder disease genes
Eman H. Ismail, Walaa Gad, Mohamed Hashem
BMC Bioinformatics (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 6

A potent subset of Mycobacterium tuberculosis glycoproteins as relevant candidates for vaccine and therapeutic target
Shamsi Yari, Parviz Afrough, Fatemeh Yari, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 3

Using Machine Learning to Predict Diabetes Early on
Satyendra Singh Rawat, Amit Kumar Mishra, Deepak Motwani
(2024), pp. 165-167
Closed Access

Model Classification Using an Extreme Gradient Boosting Algorithm to Predict the Post-Translational Modification (PTM) Glycosylation in Sequence O
Sabyasachi Pramanik
Advances in healthcare information systems and administration book series (2024), pp. 161-173
Closed Access

Efficient Brain Tumor Classification on Resource-Constrained Devices Using Stacking Ensemble and RadImageNet Pretrained Models
Nihal Remzan, Karim Tahiry, Abdelmajid Farchi
(2023), pp. 1-7
Closed Access | Times Cited: 1

The similarity between Disease and Drug Network in Link Prediction
Muhammad Azam, Muhammad Nouman
ICST Transactions on Mobile Communications and Applications (2022) Vol. 7, Iss. 2, pp. e5-e5
Open Access | Times Cited: 2

SMOTE-RUS : Combined Oversampling and Undersampling Technique to Classify the Imbalanced Autism Spectrum disorder dataset
Eman H. Ismail, Walaa Gad, Mohamed Hashem
International journal of intelligent computing and information sciences/International Journal of Intelligent Computing and Information Sciences (2023) Vol. 23, Iss. 3, pp. 83-94
Open Access

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