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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:

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: 21

Showing 21 citing articles:

Receptor-binding proteins from animal viruses are broadly compatible with human cell entry factors
Jérémy Dufloo, Iván Andreu-Moreno, Jorge Moreno‐García, et al.
Nature Microbiology (2025)
Open Access | Times Cited: 1
DLBWE-Cys: a deep-learning-based tool for identifying cysteine S-carboxyethylation sites using binary-weight encoding
Zhengtao Luo, Qingyong Wang, Yingchun Xia, et al.
Frontiers in Genetics (2025) Vol. 15
Open Access
SumoPred-PLM: human SUMOylation and SUMO2/3 sites Prediction using Pre-trained Protein Language Model
Andrew Vargas Palacios, Pujan Acharya, Anthony S. Peidl, et al.
NAR Genomics and Bioinformatics (2024) Vol. 6, Iss. 1
Open Access | Times Cited: 4
Integrating Embeddings from Multiple Protein Language Models to Improve Protein O-GlcNAc Site Prediction
Suresh Pokharel, Pawel Pratyush, Hamid D. Ismail, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 21, pp. 16000-16000
Open Access | Times Cited: 11
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: 11
Post-translational modification prediction via prompt-based fine-tuning of a GPT-2 model
Palistha Shrestha, Jeevan Kandel, Hilal Tayara, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 3
Protein feature engineering framework for AMPylation site prediction
Hardik Prabhu, Hrushikesh Bhosale, Aamod Sane, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Sitetack: A Deep Learning Model that Improves PTM Prediction by Using Known PTMs
Clair S. Gutierrez, Alia A. Kassim, Benjamin D. Gutierrez, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Human O-linked Glycosylation Site Prediction Using Pretrained Protein Language Model
Subash Chandra Pakhrin, Neha Chauhan, Salman Khan, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 2
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
CaLMPhosKAN: Prediction of General Phosphorylation Sites in Proteins via Fusion of Codon-Aware Embeddings with Amino Acid-Aware Embeddings and Wavelet-based Kolmogorov–Arnold Network
Pawel Pratyush, C. Carrier, Suresh Pokharel, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Dynamic Sampling-Based Meta-Learning Using Multilingual Acoustic Data for Under-Resourced Speech Recognition
I-Ting Hsieh, Chung‐Hsien Wu, Zhe-Hong Zhao
IEEE Access (2024) Vol. 12, pp. 106070-106083
Open Access
PLM‐T3SE: Accurate Prediction of Type III Secretion Effectors Using Protein Language Model Embeddings
Mengru Gao, Chen Song, Taigang Liu
Journal of Cellular Biochemistry (2024)
Closed Access
CoNglyPred: Accurate Prediction of N‐Linked Glycosylation Sites Using ESM‐2 and Structural Features With Graph Network and Co‐Attention
Hongmei Wang, Long Zhao, Ziyuan Yu, et al.
PROTEOMICS (2024)
Closed Access
pLM-DBPs: Enhanced DNA-Binding Protein Prediction in Plants Using Embeddings From Protein Language Models
Suresh Pokharel, Kepha Barasa, Pawel Pratyush, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Sitetack: A deep learning model that improves PTM prediction by using known PTMs
Clair S. Gutierrez, Alia A. Kassim, Benjamin D. Gutierrez, et al.
Bioinformatics (2024) Vol. 40, Iss. 11
Open Access
Prediction of human O-linked glycosylation sites using stacked generalization and embeddings from pre-trained protein language model
Subash Chandra Pakhrin, Neha Chauhan, Salman Khan, et al.
Bioinformatics (2024) Vol. 40, Iss. 11
Open Access
Advances in Prediction of Posttranslational Modification Sites Known to Localize in Protein Supersecondary Structures
Pawel Pratyush, Dukka B. KC
Methods in molecular biology (2024), pp. 117-151
Closed Access
LMPTMSite: A Platform for PTM Site Prediction in Proteins Leveraging Transformer-Based Protein Language Models
Pawel Pratyush, Suresh Pokharel, Hamid D. Ismail, et al.
Methods in molecular biology (2024), pp. 261-297
Closed Access
Artificial Intelligence Transforming Post-Translational Modification Research
Doo Nam Kim, Tianzhixi Yin, Tong Zhang, et al.
Bioengineering (2024) Vol. 12, Iss. 1, pp. 26-26
Open Access
TargetCLP: clathrin proteins prediction combining transformed and evolutionary scale modeling-based multi-view features via weighted feature integration approach
Matee Ullah, Shahid Akbar, Ali Raza, et al.
Briefings in Bioinformatics (2024) Vol. 26, Iss. 1
Open Access
HumanO-linked Glycosylation Site Prediction Using Pretrained Protein Language Model
Subash C. Pakhrin, Neha Chauhan, Salman Khan, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
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