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:

A Bidirectional LSTM-RNN and GRU Method to Exon Prediction Using Splice-Site Mapping
Peren Jerfi Canatalay, Osman Nuri Uçan
Applied Sciences (2022) Vol. 12, Iss. 9, pp. 4390-4390
Open Access | Times Cited: 7

Showing 7 citing articles:

An automated framework for evaluation of deep learning models for splice site predictions
Amin Zabardast, Elif Güney Tamer, Yeşim Aydın Son, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 7

Deep Learning in Bioinformatics
A.G. Cioletti, Frederico Chaves Carvalho, Lucas Moraes dos Santos, et al.
Advances in bioinformatics and biomedical engineering book series (2024), pp. 137-168
Closed Access | Times Cited: 1

Daily Scale Streamflow Forecasting Based-Hybrid Gradient Boosting Machine Learning Model
Hüseyin Çağan Kılınç, Iman Ahmadianfar, Vahdettin Demir, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 3

Splice site recognition - deciphering Exon-Intron transitions for genetic insights using Enhanced integrated Block-Level gated LSTM model
Mohemmed Sha, Mohamudha Parveen Rahamathulla
Gene (2024) Vol. 915, pp. 148429-148429
Closed Access

Unravelling the Complexities of Genetic Codes Through Advanced Machine Learning Algorithms for DNA Sequencing and Analysis
Swathi Gowroju, Mandeep Kumar, Sharvin Vats, et al.
(2024), pp. 87-107
Closed Access

Artificial intelligence and deep learning algorithms for epigenetic sequence analysis: A review for epigeneticists and AI experts
Muhammad Tahir, Mahboobeh Norouzi, Shehroz S. Khan, et al.
Computers in Biology and Medicine (2024) Vol. 183, pp. 109302-109302
Open Access

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