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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:

DeepGRN: prediction of transcription factor binding site across cell-types using attention-based deep neural networks
Chen Chen, Jie Hou, Xiaowen Shi, et al.
BMC Bioinformatics (2021) Vol. 22, Iss. 1
Open Access | Times Cited: 68

Showing 1-25 of 68 citing articles:

Diffusion models in bioinformatics and computational biology
Zhiye Guo, Jian Liu, Yanli Wang, et al.
Nature Reviews Bioengineering (2023) Vol. 2, Iss. 2, pp. 136-154
Open Access | Times Cited: 48
MathFeature: feature extraction package for DNA, RNA and protein sequences based on mathematical descriptors
Robson Parmezan Bonidia, Douglas Silva Domingues, Danilo Sipoli Sanches, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Open Access | Times Cited: 63
In Silico Methods for Identification of Potential Active Sites of Therapeutic Targets
Jianbo Liao, Qinyu Wang, Fengxu Wu, et al.
Molecules (2022) Vol. 27, Iss. 20, pp. 7103-7103
Open Access | Times Cited: 56
Transcription factor-based biosensors for screening and dynamic regulation
Jonathan Tellechea‐Luzardo, Martin T. Stiebritz, Pablo Carbonell
Frontiers in Bioengineering and Biotechnology (2023) Vol. 11
Open Access | Times Cited: 36
maxATAC: Genome-scale transcription-factor binding prediction from ATAC-seq with deep neural networks
Tareian Cazares, Faiz W. Rizvi, Balaji Iyer, et al.
PLoS Computational Biology (2023) Vol. 19, Iss. 1, pp. e1010863-e1010863
Open Access | Times Cited: 27
Deep learning for inferring transcription factor binding sites
Peter K. Koo, Matt Ploenzke
Current Opinion in Systems Biology (2020) Vol. 19, pp. 16-23
Open Access | Times Cited: 67
Regulatory SNPs: Altered Transcription Factor Binding Sites Implicated in Complex Traits and Diseases
A. O. Degtyareva, E. V. Antontseva, Т. И. Меркулова
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 12, pp. 6454-6454
Open Access | Times Cited: 56
Estimation of municipal solid waste amount based on one-dimension convolutional neural network and long short-term memory with attention mechanism model: A case study of Shanghai
Kunsen Lin, Youcai Zhao, Lu Tian, et al.
The Science of The Total Environment (2021) Vol. 791, pp. 148088-148088
Closed Access | Times Cited: 53
Protein–DNA/RNA interactions: Machine intelligence tools and approaches in the era of artificial intelligence and big data
Feifei Cui, Zilong Zhang, Chen Cao, et al.
PROTEOMICS (2022) Vol. 22, Iss. 8
Closed Access | Times Cited: 30
DeepSTF: predicting transcription factor binding sites by interpretable deep neural networks combining sequence and shape
Pengju Ding, Yifei Wang, Xinyu Zhang, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 4
Closed Access | Times Cited: 20
BERT-TFBS: a novel BERT-based model for predicting transcription factor binding sites by transfer learning
Kai Wang, Xuan Zeng, Jingwen Zhou, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 3
Open Access | Times Cited: 7
Combination of deep neural network with attention mechanism enhances the explainability of protein contact prediction
Chen Chen, Tianqi Wu, Zhiye Guo, et al.
Proteins Structure Function and Bioinformatics (2021) Vol. 89, Iss. 6, pp. 697-707
Open Access | Times Cited: 34
DNAffinity: a machine-learning approach to predict DNA binding affinities of transcription factors
Sandro Barissi, Alba Sala, Miłosz Wieczór, et al.
Nucleic Acids Research (2022) Vol. 50, Iss. 16, pp. 9105-9114
Open Access | Times Cited: 23
Massively parallel characterization of psychiatric disorder-associated and cell-type-specific regulatory elements in the developing human cortex
Chengyu Deng, Sean Whalen, Marilyn Steyert, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 16
Predicting Transcription Factor Binding Sites with Deep Learning
Nimisha Ghosh, Daniele Santoni, Indrajit Saha, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 9, pp. 4990-4990
Open Access | Times Cited: 5
A self-attention model for inferring cooperativity between regulatory features
Fahad Ullah, Asa Ben‐Hur
Nucleic Acids Research (2021) Vol. 49, Iss. 13, pp. e77-e77
Open Access | Times Cited: 31
Learning the Regulatory Code of Gene Expression
Jan Zrimec, Filip Buric, Mariia Kokina, et al.
Frontiers in Molecular Biosciences (2021) Vol. 8
Open Access | Times Cited: 29
DNA breathing integration with deep learning foundational model advances genome-wide binding prediction of human transcription factors
Anowarul Kabir, Manish Bhattarai, S N Peterson, et al.
Nucleic Acids Research (2024)
Open Access | Times Cited: 4
Factorbook: an updated catalog of transcription factor motifs and candidate regulatory motif sites
Henry Pratt, Gregory Andrews, Nishigandha Phalke, et al.
Nucleic Acids Research (2021) Vol. 50, Iss. D1, pp. D141-D149
Open Access | Times Cited: 26
A cost‐effective tsCUT&Tag method for profiling transcription factor binding landscape
Leiming Wu, Zi Wei Luo, Yanni Shi, et al.
Journal of Integrative Plant Biology (2022) Vol. 64, Iss. 11, pp. 2033-2038
Closed Access | Times Cited: 19
Towards a better understanding of TF-DNA binding prediction from genomic features
Zixuan Wang, Meiqin Gong, Yuhang Liu, et al.
Computers in Biology and Medicine (2022) Vol. 149, pp. 105993-105993
Closed Access | Times Cited: 17
A Review on Deep Learning-driven Drug Discovery: Strategies, Tools and Applications
Sundaravadivelu Sumathi, Kanagaraj Suganya, Kandasamy Swathi, et al.
Current Pharmaceutical Design (2023) Vol. 29, Iss. 13, pp. 1013-1025
Closed Access | Times Cited: 11
Artificial Intelligence in Pathomics and Genomics of Renal Cell Carcinoma
J Knudsen, Joseph M. Rich, Runzhuo Ma
Urologic Clinics of North America (2023) Vol. 51, Iss. 1, pp. 47-62
Closed Access | Times Cited: 10
Biosensor-guided discovery and engineering of metabolic enzymes
Hyun Gyu Hwang, Dae-yeol Ye, Gyoo Yeol Jung
Biotechnology Advances (2023) Vol. 69, pp. 108251-108251
Closed Access | Times Cited: 10
Methods for Functional Characterization of Genetic Polymorphisms of Non-Coding Regulatory Regions of the Human Genome
А. Н. Уварова, Е А Ткаченко, Ekaterina M. Stasevich, et al.
Biochemistry (Moscow) (2024) Vol. 89, Iss. 6, pp. 1002-1013
Open Access | Times Cited: 3
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