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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:

CRISPR-DIPOFF: an interpretable deep learning approach for CRISPR Cas-9 off-target prediction
Md. Toufikuzzaman, Md. Abul Hassan Samee, M. Sohel Rahman
Briefings in Bioinformatics (2024) Vol. 25, Iss. 2
Open Access | Times Cited: 10

Showing 10 citing articles:

CRISPR/Cas genome editing in plants: mechanisms, applications, and overcoming bottlenecks
Delight Hwarari, Yasmina Radani, Yongchao Ke, et al.
Functional & Integrative Genomics (2024) Vol. 24, Iss. 2
Closed Access | Times Cited: 13
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: 8
Machine learning-based risk assessment of gene editing: degeneration during gene editing possibility of target effect
Jingbo Wang
Theoretical and Natural Science (2025) Vol. 82, Iss. 1, pp. 33-38
Closed Access
Bioinformatic tools for CRISPR-mediated genome editing
Fatemeh Gila, Shayan Shakeri, Somayeh Khoddam, et al.
Gene Reports (2025), pp. 102204-102204
Closed Access
CRISPRoffT: comprehensive database of CRISPR/Cas off-targets
Grant Wang, Xiaona Liu, Aoqi Wang, et al.
Nucleic Acids Research (2024) Vol. 53, Iss. D1, pp. D914-D924
Open Access | Times Cited: 3
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
Overcoming CRISPR-Cas9 off-target prediction hurdles: A novel approach with ESB rebalancing strategy and CRISPR-MCA model
Yanpeng Yang, Yanyi Zheng, Quan Zou, et al.
PLoS Computational Biology (2024) Vol. 20, Iss. 9, pp. e1012340-e1012340
Open Access | Times Cited: 2
Roadmap and Considerations for Genome Editing in a Non-Model Organism: Genetic Variations and Off-Target Profiling
Hanin Wattad, Jonathan Molcho, Rivka Manor, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 23, pp. 12530-12530
Open Access | Times Cited: 1
A systematic method for solving data imbalance in CRISPR off-target prediction tasks
Zengrui Guan, Zhenran Jiang
Computers in Biology and Medicine (2024) Vol. 178, pp. 108781-108781
Closed Access
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