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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:

Bigram-PGK: phosphoglycerylation prediction using the technique of bigram probabilities of position specific scoring matrix
Abel Chandra, Alok Sharma, Abdollah Dehzangi, et al.
BMC Molecular and Cell Biology (2019) Vol. 20, Iss. S2
Open Access | Times Cited: 19

Showing 19 citing articles:

Transformer-based deep learning for predicting protein properties in the life sciences
Abel Chandra, Laura Tünnermann, Tommy Löfstedt, et al.
eLife (2023) Vol. 12
Open Access | Times Cited: 93
CNN-Pred: Prediction of single-stranded and double-stranded DNA-binding protein using convolutional neural networks
Farnoush Manavi, Alok Sharma, Ronesh Sharma, et al.
Gene (2022) Vol. 853, pp. 147045-147045
Closed Access | Times Cited: 13
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
predML-Site: Predicting Multiple Lysine PTM Sites With Optimal Feature Representation and Data Imbalance Minimization
Sabit Ahmed, Afrida Rahman, Md. Al Mehedi Hasan, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2021) Vol. 19, Iss. 6, pp. 3624-3634
Closed Access | Times Cited: 14
PLP_FS: prediction of lysine phosphoglycerylation sites in protein using support vector machine and fusion of multiple F_Score feature selection
Md. Sohrawordi, Md. Ali Hossain, Md. Al Mehedi Hasan
Briefings in Bioinformatics (2022) Vol. 23, Iss. 5
Closed Access | Times Cited: 9
Computational identification of multiple lysine PTM sites by analyzing the instance hardness and feature importance
Sabit Ahmed, Afrida Rahman, Md. Al Mehedi Hasan, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 12
predPhogly-Site: Predicting phosphoglycerylation sites by incorporating probabilistic sequence-coupling information into PseAAC and addressing data imbalance
Sabit Ahmed, Afrida Rahman, Md. Al Mehedi Hasan, et al.
PLoS ONE (2021) Vol. 16, Iss. 4, pp. e0249396-e0249396
Open Access | Times Cited: 10
RAM-PGK: Prediction of Lysine Phosphoglycerylation Based on Residue Adjacency Matrix
Abel Chandra, Alok Sharma, Abdollah Dehzangi, et al.
Genes (2020) Vol. 11, Iss. 12, pp. 1524-1524
Open Access | Times Cited: 9
Accurately predicting nitrosylated tyrosine sites using probabilistic sequence information
Afrida Rahman, Sabit Ahmed, Md. Al Mehedi Hasan, et al.
Gene (2022) Vol. 826, pp. 146445-146445
Closed Access | Times Cited: 5
Accurately predicting microbial phosphorylation sites using evolutionary and structural features
Faisal Ahmed, Abdollah Dehzangi, Md Mehedi Hasan, et al.
Gene (2022) Vol. 851, pp. 146993-146993
Closed Access | Times Cited: 5
Predicting Lysine Phosphoglycerylation Sites using Bidirectional Encoder Representations with Transformers & Protein Feature Extraction and Selection
Songning Lai, Xifeng Hu, Jing Han, et al.
2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) (2022) Vol. 44, pp. 1-6
Closed Access | Times Cited: 4
iDPGK: characterization and identification of lysine phosphoglycerylation sites based on sequence-based features
Kai‐Yao Huang, Fang-Yu Hung, Hui‐Ju Kao, et al.
BMC Bioinformatics (2020) Vol. 21, Iss. 1
Open Access | Times Cited: 5
BERT_PLPS: A BERT-based Model for Predicting Lysine Phosphoglycerylation Sites
Songning Lai, Yankun Cao, Pengwei Wang, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
DNA/RNA sequence feature representation algorithms for predicting methylation-modified sites
Juanying Xie, Mingzhao Wang, Sheng‐Quan Xu
Scientia Sinica Vitae (2022) Vol. 53, Iss. 6, pp. 841-875
Closed Access | Times Cited: 2
iDPGK: Characterization and Identification of Lysine Phosphoglycerylation Sites Based on Sequence-Based Features
Kai‐Yao Huang, Fang-Yu Hung, Hui‐Ju Kao, et al.
Research Square (Research Square) (2020)
Open Access | Times Cited: 2
BERT_PLPS: A BERT-based Model for Predicting Lysine Phosphoglycerylation Sites
Songning Lai, Pengwei Wang, Lan Ye, et al.
(2023)
Open Access
Research and Implementation of DNA Molecular Sequence Pattern Matching Algorithm Based on Bioinformatics
亭宇 陈
Computer Science and Application (2023) Vol. 13, Iss. 02, pp. 236-250
Closed Access
Predicting Phosphoglycerylation with Transformer Features and Deep Learning
Abel Chandra, Alok Sharma, Abdollah Dehzangi, et al.
2021 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE) (2023), pp. 1-6
Open Access
KPhogly-RAM:Prediction of Phosphoglycerylation Sites Using Residue Adjacency Matrix
Audity Ghosh, Farhana Amin, Mansura Naznine
2020 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE) (2022), pp. 294-298
Closed Access
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