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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 14 citing articles:

STALLION: a stacking-based ensemble learning framework for prokaryotic lysine acetylation site prediction
Shaherin Basith, Gwang Lee, Balachandran Manavalan
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Open Access | Times Cited: 72
GPS-Uber: a hybrid-learning framework for prediction of general and E3-specific lysine ubiquitination sites
Chenwei Wang, Xiaodan Tan, Dachao Tang, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 2
Closed Access | Times Cited: 30
Deep learning methods for protein structure prediction
Yiming Qin, Zihan Chen, Peng Ye, et al.
MedComm – Future Medicine (2024) Vol. 3, Iss. 3
Open Access | Times Cited: 3
BERT-Kgly: A Bidirectional Encoder Representations From Transformers (BERT)-Based Model for Predicting Lysine Glycation Site for Homo sapiens
Yinbo Liu, Yufeng Liu, Gang-Ao Wang, et al.
Frontiers in Bioinformatics (2022) Vol. 2
Open Access | Times Cited: 15
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
VirusHound-I: prediction of viral proteins involved in the evasion of host adaptive immune response using the random forest algorithm and generative adversarial network for data augmentation
Jorge F. Beltrán, Lisandra Herrera Belén, Jorge G. Farías, et al.
Briefings in Bioinformatics (2023) Vol. 25, Iss. 1
Open Access | Times Cited: 8
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
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
DeepPTM: Protein Post-translational Modification Prediction from Protein Sequences by Combining Deep Protein Language Model with Vision Transformers
Necla Nisa Soylu, Emre Sefer
Current Bioinformatics (2024) Vol. 19, Iss. 9, pp. 810-824
Closed Access | Times Cited: 1
Current computational tools for protein lysine acylation site prediction
Zhaohui Qin, Haoran Ren, Pei Zhao, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 6
Closed Access | Times Cited: 1
A hybrid feature extraction scheme for efficient malonylation site prediction
Ali Ghanbari Sorkhi, Jamshid Pirgazi, Vahid Ghasemi
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 7
UbNiRF: A Hybrid Framework Based on Null Importances and Random Forest that Combines Multiple Features to Predict Ubiquitination Sites in Arabidopsis thaliana and Homo sapiens
Xiaokang Li, Zheming Yuan, Yuan Chen
Frontiers in Bioscience-Landmark (2024) Vol. 29, Iss. 5
Open Access
SuccSPred2.0: A Two-Step Model to Predict Succinylation Sites Based on Multifeature Fusion and Selection Algorithm
Yixiao Xia, Minchao Jiang, Yizhang Luo, et al.
Journal of Computational Biology (2022) Vol. 29, Iss. 10, pp. 1085-1094
Closed Access | Times Cited: 1
SuccSPred: Succinylation Sites Prediction Using Fused Feature Representation and Ranking Method
Ruiquan Ge, Yizhang Luo, Guanwen Feng, et al.
Lecture notes in computer science (2021), pp. 191-202
Closed Access | Times Cited: 1
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