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:

Evaluation and optimization of sequence-based gene regulatory deep learning models
Abdul Muntakim Rafi, Daria Nogina, Dmitry Penzar, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 8

Showing 8 citing articles:

Hold out the genome: a roadmap to solving the cis-regulatory code
Carl G. de Boer, Jussi Taipale
Nature (2023) Vol. 625, Iss. 7993, pp. 41-50
Open Access | Times Cited: 46

Machine-guided design of cell-type-targeting cis-regulatory elements
Sager J. Gosai, Rodrigo Castro, Natalia Fuentes, et al.
Nature (2024) Vol. 634, Iss. 8036, pp. 1211-1220
Open Access | Times Cited: 26

Proformer: a hybrid macaron transformer model predicts expression values from promoter sequences
Il‐Youp Kwak, Byeongchan Kim, Juhyun Lee, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 5

Improving the generalization of protein expression models with mechanistic sequence information
Yuxin Shen, Grzegorz Kudla, Diego A. Oyarzún
Nucleic Acids Research (2025) Vol. 53, Iss. 3
Open Access

DNA representations and generalization performance of sequence-to-expression models
Yuxin Shen, Grzegorz Kudla, Diego A. Oyarzún
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access

LegNet: a best-in-class deep learning model for short DNA regulatory regions
Dmitry Penzar, Daria Nogina, Elizaveta Noskova, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 2

Proformer: a hybrid macaron transformer model predicts expression values from promoter sequences
Il‐Youp Kwak, Byeongchan Kim, Juhyun Lee, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access

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