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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:

IRC-Fuse: improved and robust prediction of redox-sensitive cysteine by fusing of multiple feature representations
Md Mehedi Hasan, Md. Ashad Alam, Watshara Shoombuatong, et al.
Journal of Computer-Aided Molecular Design (2021) Vol. 35, Iss. 3, pp. 315-323
Closed Access | Times Cited: 8

Showing 8 citing articles:

Stack-DHUpred: Advancing the accuracy of dihydrouridine modification sites detection via stacking approach
Md. Harun-Or-Roshid, Kazuhiro Maeda, Le Thi Phan, et al.
Computers in Biology and Medicine (2023) Vol. 169, pp. 107848-107848
Closed Access | Times Cited: 10
PredNTS: Improved and Robust Prediction of Nitrotyrosine Sites by Integrating Multiple Sequence Features
Andi Nur Nilamyani, Firda Nurul Auliah, Mohammad Ali Moni, et al.
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 5, pp. 2704-2704
Open Access | Times Cited: 18
Meta-2OM: A multi-classifier meta-model for the accurate prediction of RNA 2′-O-methylation sites in human RNA
Md. Harun-Or-Roshid, Nhat Truong Pham, Balachandran Manavalan, et al.
PLoS ONE (2024) Vol. 19, Iss. 6, pp. e0305406-e0305406
Open Access | Times Cited: 2
PMTPred: machine-learning-based prediction of protein methyltransferases using the composition of k-spaced amino acid pairs
Arvind Kumar Yadav, P. K. Gupta, Tiratha Raj Singh
Molecular Diversity (2024) Vol. 28, Iss. 4, pp. 2301-2315
Closed Access | Times Cited: 2
Mul-SNO: A Novel Prediction Tool for S-Nitrosylation Sites Based on Deep Learning Methods
Qian Zhao, Jiaqi Ma, Yu Wang, et al.
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 26, Iss. 5, pp. 2379-2387
Closed Access | Times Cited: 12
PUP-Fuse: Prediction of Protein Pupylation Sites by Integrating Multiple Sequence Representations
Firda Nurul Auliah, Andi Nur Nilamyani, Watshara Shoombuatong, et al.
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 4, pp. 2120-2120
Open Access | Times Cited: 8
PMTPred: Machine Learning Based Prediction of Protein Methyltransferases using the Composition of k-spaced Amino Acid Pairs
Arvind Kumar Yadav, P. K. Gupta, Tiratha Raj Singh
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
pQLyCar: Peptide-based dynamic query-driven sample rescaling strategy for identifying carboxylation sites combined with KNN and SVM
Ning Qiao, Ansheng Deng, Tingting Zou, et al.
Analytical Biochemistry (2021) Vol. 633, pp. 114386-114386
Closed Access
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