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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:

DTL-DephosSite: Deep Transfer Learning Based Approach to Predict Dephosphorylation Sites
Meenal Chaudhari, Niraj Thapa, Hamid D. Ismail, et al.
Frontiers in Cell and Developmental Biology (2021) Vol. 9
Open Access | Times Cited: 15

Showing 15 citing articles:

Mini-review: Recent advances in post-translational modification site prediction based on deep learning
Lingkuan Meng, Wai‐Sum Chan, Lei Huang, et al.
Computational and Structural Biotechnology Journal (2022) Vol. 20, pp. 3522-3532
Open Access | Times Cited: 31
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
Learning deep representations of enzyme thermal adaptation
Gang Li, Filip Buric, Jan Zrimec, et al.
Protein Science (2022) Vol. 31, Iss. 12
Open Access | Times Cited: 25
Emerging insights into serine/threonine-specific phosphoprotein phosphatase function and selectivity
Thomas Kokot, Maja Köhn
Journal of Cell Science (2022) Vol. 135, Iss. 19
Open Access | Times Cited: 22
Classification and Detection of Rice Diseases Using a 3-Stage CNN Architecture with Transfer Learning Approach
Munmi Gogoi, Vikash Kumar, Shahin Ara Begum, et al.
Agriculture (2023) Vol. 13, Iss. 8, pp. 1505-1505
Open Access | Times Cited: 13
Redox signaling modulates axonal microtubule organization and induces a specific phosphorylation signature of microtubule-regulating proteins
Christian Conze, Nataliya I. Trushina, Nanci Monteiro-Abreu, et al.
Redox Biology (2025), pp. 103626-103626
Open Access
DeepNphos: A deep-learning architecture for prediction of N-phosphorylation sites
Xulin Chang, Yafei Zhu, Yu Chen, et al.
Computers in Biology and Medicine (2024) Vol. 170, pp. 108079-108079
Closed Access | Times Cited: 4
Deep Learning–Based Advances In Protein Posttranslational Modification Site and Protein Cleavage Prediction
Subash C. Pakhrin, Suresh Pokharel, Hiroto Saigo, et al.
Methods in molecular biology (2022), pp. 285-322
Closed Access | Times Cited: 15
Cell Cycle–Specific Protein Phosphatase 1 (PP1) Substrates Identification Using Genetically Modified Cell Lines
Dorothee C Kommer, Konstantinos Stamatiou, Paola Vagnarelli
Methods in molecular biology (2024), pp. 37-61
Closed Access | Times Cited: 2
DTL-NeddSite: A Deep-Transfer Learning Architecture for Prediction of Lysine Neddylation Sites
Deli Xu, Yafei Zhu, Qiang Xu, et al.
IEEE Access (2023) Vol. 11, pp. 51798-51809
Open Access | Times Cited: 2
Learning deep representations of enzyme thermal adaptation
Gang Li, Filip Buric, Jan Zrimec, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 3
Identification of phosphorylation site using S-padding strategy based convolutional neural network
Yanjiao Zeng, Dongning Liu, Yang Wang
Health Information Science and Systems (2022) Vol. 10, Iss. 1
Open Access | Times Cited: 3
GPSD: a hybrid learning framework for the prediction of phosphatase-specific dephosphorylation sites
Han Cheng, Shanshan Fu, Miaomiao Chen, et al.
Briefings in Bioinformatics (2024) Vol. 26, Iss. 1
Open Access
DephosNet: A Novel Transfer Learning Approach for Dephosphorylation Site Prediction
Qing Yang, Xun Wang, Pan Zheng
Computers (2023) Vol. 12, Iss. 11, pp. 229-229
Open Access | Times Cited: 1
The Tyrosine Phosphatase SHP2: A New Target for Insulin Resistance?
Céline Saint-Laurent, Laurène Mazeyrie, Mylène Tajan, et al.
Biomedicines (2022) Vol. 10, Iss. 9, pp. 2139-2139
Open Access | Times Cited: 2
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