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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.

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Showing 16 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
LMPhosSite: A Deep Learning-Based Approach for General Protein Phosphorylation Site Prediction Using Embeddings from the Local Window Sequence and Pretrained Protein Language Model
Subash C. Pakhrin, Suresh Pokharel, Pawel Pratyush, et al.
Journal of Proteome Research (2023) Vol. 22, Iss. 8, pp. 2548-2557
Closed Access | Times Cited: 20
LMCrot: an enhanced protein crotonylation site predictor by leveraging an interpretable window-level embedding from a transformer-based protein language model
Pawel Pratyush, Soufia Bahmani, Suresh Pokharel, et al.
Bioinformatics (2024) Vol. 40, Iss. 5
Open Access | Times Cited: 6
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: 6
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: 13
Improving PTM Site Prediction by Coupling of Multi-Granularity Structure and Multi-Scale Sequence Representation
Zhengyi Li, Menglu Li, Lida Zhu, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 1, pp. 188-196
Open Access | Times Cited: 4
Emerging trends in post-translational modification: Shedding light on Glioblastoma multiforme
Smita Kumari, Rohan Gupta, Rashmi K. Ambasta, et al.
Biochimica et Biophysica Acta (BBA) - Reviews on Cancer (2023) Vol. 1878, Iss. 6, pp. 188999-188999
Closed Access | Times Cited: 7
Brain-computer Interaction in the Smart Era
Zi-Neng Yan, Pengran Liu, Hong Zhou, et al.
Current Medical Science (2024)
Closed Access | Times Cited: 1
Hybrid protein-ligand binding residue prediction with protein language models: Does the structure matter?
Hamza Gamouh, Marián Novotný, David Hoksza
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 4
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 | Times Cited: 1
Post-Translational Modification Prediction via Prompt-Based Fine-Tuning of a GPT-2 Model
Palistha Shrestha, Jeevan Kandel, Hilal Tayara, et al.
Research Square (Research Square) (2024)
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
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
NCSP-PLM: An ensemble learning framework for predicting non-classical secreted proteins based on protein language models and deep learning
Taigang Liu, Chen Song, Chunhua Wang
Mathematical Biosciences & Engineering (2023) Vol. 21, Iss. 1, pp. 1472-1488
Open Access | Times Cited: 1
Nitric oxide delivery and heme-assisted S-nitrosation by the bedbug nitrophorin
Hemant B. Badgandi, A. Weichsel, W.R. Montfort
Journal of Inorganic Biochemistry (2023) Vol. 246, pp. 112263-112263
Open Access
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