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:

Interpretable CRISPR/Cas9 off-target activities with mismatches and indels prediction using BERT
Ye Luo, Yaowen Chen, Huanzeng Xie, et al.
Computers in Biology and Medicine (2024) Vol. 169, pp. 107932-107932
Open Access | Times Cited: 6

Showing 6 citing articles:

Generating, modeling and evaluating a large-scale set of CRISPR/Cas9 off-target sites with bulges
Ofir Yaish, Yaron Orenstein
Nucleic Acids Research (2024) Vol. 52, Iss. 12, pp. 6777-6790
Open Access | Times Cited: 5

Transitioning from wet lab to artificial intelligence: a systematic review of AI predictors in CRISPR
Ahtisham Fazeel Abbasi, Muhammad Nabeel Asim, Andreas Dengel
Journal of Translational Medicine (2025) Vol. 23, Iss. 1
Open Access

Machine learning and deep learning for genomic data: a data-centric approach to CRISPR/Cas9 gene editing
Sobia Rafiq, Muzafar A. Macha, Assif Assad
International Journal of Data Science and Analytics (2025)
Closed Access

Contextual Statistical Evaluation of Selected CRISPR-Cas9 Recurrent Deep Learning Models Predicting Off-Target Activities for K562 and Hek293 Cell Lines
Maciej Powierża, Łukasz Łaczmański, Maciej Huk
Lecture notes in computer science (2025), pp. 225-239
Closed Access

The Evolution of Nucleic Acid–Based Diagnosis Methods from the (pre-)CRISPR to CRISPR era and the Associated Machine/Deep Learning Approaches in Relevant RNA Design
Shruti Sarika Chakraborty, Jayati Ray Dutta, Ramakrishnan Ganesan, et al.
Methods in molecular biology (2024), pp. 241-300
Closed Access | Times Cited: 1

CRISPert: A Transformer-Based Model for CRISPR-Cas Off-Target Prediction
William Jobson Pargeter, Rolf Backofen, Tran Van Dinh
Lecture notes in computer science (2024), pp. 92-104
Closed Access

DeepIndel: An Interpretable Deep Learning Approach for Predicting CRISPR/Cas9-Mediated Editing Outcomes
Guishan Zhang, Huanzeng Xie, Xianhua Dai
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 20, pp. 10928-10928
Open Access

Generating, modeling, and evaluating a large-scale set of CRISPR/Cas9 off-target sites with bulges
Ofir Yaish, Yaron Orenstein
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access

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