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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:

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

Showing 20 citing articles:

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
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: 5
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
Ai-enabled language models (LMs) to large language models (LLMs) and multimodal large language models (MLLMs) in drug discovery and development
Chiranjib Chakraborty, Manojit Bhattacharya, Soumen Pal, et al.
Journal of Advanced Research (2025)
Open Access
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
Accurate prediction of antibody deamidations by combining high-throughput automated peptide mapping and protein language model-based deep learning
Ben Niu, Benjamin C. Lee, Lili Wang, et al.
(2024)
Open Access | Times Cited: 1
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 | Times Cited: 1
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
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 | Times Cited: 1
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 | 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
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
The Accurate Prediction of Antibody Deamidations by Combining High-Throughput Automated Peptide Mapping and Protein Language Model-Based Deep Learning
Ben Niu, Benjamin C. Lee, Lili Wang, et al.
Antibodies (2024) Vol. 13, Iss. 3, pp. 74-74
Open Access
Improving compound-protein interaction prediction by focusing on intra-modality and inter-modality dynamics with a multimodal tensor fusion strategy
Meng Wang, Jianmin Wang, Jianxin Ji, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 3714-3729
Open Access
Alg-MFDL: A multi-feature deep learning framework for allergenic proteins prediction
Xiang Hu, Jingyi Li, Taigang Liu
Analytical Biochemistry (2024), pp. 115701-115701
Closed Access
GPS-pPLM: A Language Model for Prediction of Prokaryotic Phosphorylation Sites
C. Zhang, Dachao Tang, Cheng Han, et al.
Cells (2024) Vol. 13, Iss. 22, pp. 1854-1854
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
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
PhosphoLingo: protein language models for phosphorylation site prediction
Jasper Zuallaert, Pathmanaban Ramasamy, Robbin Bouwmeester, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access
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