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:

Computational identification of microbial phosphorylation sites by the enhanced characteristics of sequence information
Md Mehedi Hasan, Md Mamunur Rashid, Mst. Shamima Khatun, et al.
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 38

Showing 26-50 of 38 citing articles:

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

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

Comparative Phosphoproteomics of Classical Bordetellae Elucidates the Potential Role of Serine, Threonine and Tyrosine Phosphorylation in Bordetella Biology and Virulence
Laurence Don Wai Luu, Ling Zhong, Sandeep Kaur, et al.
Frontiers in Cellular and Infection Microbiology (2021) Vol. 11
Open Access | Times Cited: 7

GroEL is an immunodominant surface-exposed antigen of Rickettsia typhi
Jessica Rauch, Jessica Barton, Marcel Kwiatkowski, et al.
PLoS ONE (2021) Vol. 16, Iss. 6, pp. e0253084-e0253084
Open Access | Times Cited: 7

Prediction of serine phosphorylation sites mapping on Schizosaccharomyces Pombe by fusing three encoding schemes with the random forest classifier
Samme Amena Tasmia, Md. Kaderi Kibria, Khanis Farhana Tuly, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open 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

A Novel Capsule Network with Attention Routing to Identify Prokaryote Phosphorylation Sites
Shixian Wang, Lina Zhang, Runtao Yang, et al.
Biomolecules (2022) Vol. 12, Iss. 12, pp. 1854-1854
Open Access | Times Cited: 4

Improved Prediction of Protein-Protein Interaction Mapping on Homo Sapiens by Using Amino Acid Sequence Features in a Supervised Learning Framework
Md. Merajul Islam, Md. Jahangir Alam, Fee Faysal Ahmed, et al.
Protein and Peptide Letters (2020) Vol. 28, Iss. 1, pp. 74-83
Closed Access | Times Cited: 5

Phosphoproteomic analysis reveals distinctive responses in Mangrovibacter phragmatis under high-salinity condition
Hong Soon Chin, Narendrakumar Ravi Varadharajulu, Zhi‐Han Lin, et al.
Biochemical and Biophysical Research Communications (2024) Vol. 736, pp. 150514-150514
Closed Access

DeepPhoPred: Accurate Deep Learning Model to Predict Microbial Phosphorylation
Faisal Ahmed, Alok Sharma, Swakkhar Shatabda, et al.
Proteins Structure Function and Bioinformatics (2024)
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

A Brief Review of Machine Learning Techniques for Protein Phosphorylation Sites Prediction.
Farzaneh Esmaili, Mahdi Pourmirzaei, Shahin Ramazi, et al.
arXiv (Cornell University) (2021)
Closed Access

Recent advancements in predicting protein phosphorylation sites using machine learning methods
Adil Yousaf, Muhammad Rashid Rasheed, Muhammad Arif, et al.
2021 International Conference on Innovative Computing (ICIC) (2021), pp. 1-6
Closed Access

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