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:

Uncovering the Relationship between Tissue-Specific TF-DNA Binding and Chromatin Features through a Transformer-Based Model
Yongqing Zhang, Yuhang Liu, Zixuan Wang, et al.
Genes (2022) Vol. 13, Iss. 11, pp. 1952-1952
Open Access | Times Cited: 10

Showing 10 citing articles:

A Review on the Applications of Transformer-based language models for Nucleotide Sequence Analysis
Nimisha Ghosh, Daniele Santoni, Indrajit Saha, et al.
Computational and Structural Biotechnology Journal (2025)
Open Access

A Unified Deep Learning Framework for Single-Cell ATAC-Seq Analysis Based on ProdDep Transformer Encoder
Zixuan Wang, Yongqing Zhang, Yun Yu, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 5, pp. 4784-4784
Open Access | Times Cited: 5

A novel interpretable regularized cnn with a modified xlnet transformer for segmenting and classifying the ovarian cancer
Vivekanand Aelgani, Dhanalaxmi Vadlakonda
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 1

scAuto as a comprehensive framework for single-cell chromatin accessibility data analysis
Meiqin Gong, Yun Yu, Zixuan Wang, et al.
Computers in Biology and Medicine (2024) Vol. 171, pp. 108230-108230
Closed Access

A Sparse and Wide Neural Network Model for DNA Sequences
Tong Yu, Lei Cheng, Ruslan Khalitov, et al.
(2024)
Closed Access

Prediction of Protein-Binding Sites in DNA Sequences
Kenta Nakai
Elsevier eBooks (2024)
Closed Access

A sparse and wide neural network model for DNA sequences
Tong Yu, Lei Cheng, Ruslan Khalitov, et al.
Neural Networks (2024) Vol. 184, pp. 107040-107040
Closed Access

Incorporating Sequence-Dependent DNA Shape and Dynamics into Transcriptome Data Analysis
Manisha Kalsan, Almas Jabeen, Shandar Ahmad
Methods in molecular biology (2024), pp. 317-343
Closed Access

DeepChrom: A Diffusion-Based Framework for Long-Tailed Chromatin State Prediction
Yuhang Liu, Zixuan Wang, Jiaheng Lv, et al.
Lecture notes in computer science (2023), pp. 188-199
Closed Access | Times Cited: 1

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