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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:

Enhancing the interpretability of transcription factor binding site prediction using attention mechanism
Sung‐Joon Park, Yookyung Koh, Hwisang Jeon, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 63

Showing 1-25 of 63 citing articles:

Obtaining genetics insights from deep learning via explainable artificial intelligence
Gherman Novakovsky, Nick Dexter, Maxwell W. Libbrecht, et al.
Nature Reviews Genetics (2022) Vol. 24, Iss. 2, pp. 125-137
Closed Access | Times Cited: 228
Transformer Architecture and Attention Mechanisms in Genome Data Analysis: A Comprehensive Review
Sanghyuk Roy Choi, Minhyeok Lee
Biology (2023) Vol. 12, Iss. 7, pp. 1033-1033
Open Access | Times Cited: 77
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
Leveraging the attention mechanism to improve the identification of DNA N6-methyladenine sites
Ying Zhang, Yan Liu, Jian Xu, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 6
Open Access | Times Cited: 63
Emerging applications of machine learning in genomic medicine and healthcare
Narjice Chafai, L. Bonizzi, Sara Botti, et al.
Critical Reviews in Clinical Laboratory Sciences (2023) Vol. 61, Iss. 2, pp. 140-163
Closed Access | Times Cited: 37
GeneViT: Gene Vision Transformer with Improved DeepInsight for cancer classification
Madhuri Gokhale, Sraban Kumar Mohanty, Aparajita Ojha
Computers in Biology and Medicine (2023) Vol. 155, pp. 106643-106643
Closed Access | Times Cited: 31
Discovering the Origin of Catalyst Performance and Degradation of Electrochemical CO2 Reduction through Interpretable Machine Learning
Daeun Chloe Shin, Hakan Karasu, Kyojin Jang, et al.
ACS Catalysis (2025) Vol. 15, Iss. 3, pp. 2158-2170
Closed Access | Times Cited: 2
Adapt-Kcr: a novel deep learning framework for accurate prediction of lysine crotonylation sites based on learning embedding features and attention architecture
Zutan Li, Jingya Fang, Shining Wang, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 2
Closed Access | Times Cited: 32
Deepro-Glu: combination of convolutional neural network and Bi-LSTM models using ProtBert and handcrafted features to identify lysine glutarylation sites
Xiao Wang, Zhaoyuan Ding, Rong Wang, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 2
Closed Access | Times Cited: 18
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
A survey on algorithms to characterize transcription factor binding sites
Manuel Tognon, Rosalba Giugno, Luca Pinello
Briefings in Bioinformatics (2023) Vol. 24, Iss. 3
Open Access | Times Cited: 14
UniproLcad: Accurate Identification of Antimicrobial Peptide by Fusing Multiple Pre-Trained Protein Language Models
Xiao Wang, Wu Zhou, Rong Wang, et al.
Symmetry (2024) Vol. 16, Iss. 4, pp. 464-464
Open Access | Times Cited: 6
Deep Learning Sequence Models for Transcriptional Regulation
Ksenia Sokolova, Kathleen Chen, Yun Hao, et al.
Annual Review of Genomics and Human Genetics (2024) Vol. 25, Iss. 1, pp. 105-122
Closed 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
High-resolution transcription factor binding sites prediction improved performance and interpretability by deep learning method
Yongqing Zhang, Zixuan Wang, Yuanqi Zeng, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 6
Closed Access | Times Cited: 30
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
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
DeepFormer: a hybrid network based on convolutional neural network and flow-attention mechanism for identifying the function of DNA sequences
Yao Zhou, Wenjing Zhang, Peng Song, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 2
Closed Access | Times Cited: 11
CSpredR: A Multi-Site mRNA Subcellular Localization Prediction Method Based on Fusion Encoding and Hybrid Neural Networks
Xiao Wang, Wenshuai Suo, Rong Wang
Algorithms (2025) Vol. 18, Iss. 2, pp. 67-67
Open Access
CacPred: a cascaded convolutional neural network for TF-DNA binding prediction
Shuangquan Zhang, Anjun Ma, Xuping Xie, et al.
BMC Genomics (2025) Vol. 26, Iss. S2
Open Access
DapNet-HLA: Adaptive dual-attention mechanism network based on deep learning to predict non-classical HLA binding sites
Yuanyuan Jing, Shengli Zhang, Houqiang Wang
Analytical Biochemistry (2023) Vol. 666, pp. 115075-115075
Closed Access | Times Cited: 9
Functional annotation of proteins for signaling network inference in non-model species
Lisa Van den Broeck, Dinesh Kiran Bhosale, Kuncheng Song, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 9
Machine learning for profile prediction in genomics
Jacob Schreiber, Ritambhara Singh
Current Opinion in Chemical Biology (2021) Vol. 65, pp. 35-41
Open Access | Times Cited: 16
Exploring variable-length features (motifs) for predicting binding sites through interpretable deep neural networks
Chandra Mohan Dasari, Santhosh Amilpur, Raju Bhukya
Engineering Applications of Artificial Intelligence (2021) Vol. 106, pp. 104485-104485
Closed Access | Times Cited: 15
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