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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:

MAResNet: predicting transcription factor binding sites by combining multi-scale bottom-up and top-down attention and residual network
Ke Han, Long-Chen Shen, Yiheng Zhu, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Open Access | Times Cited: 13

Showing 13 citing articles:

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: 63
DeepPLM_mCNN: An approach for enhancing ion channel and ion transporter recognition by multi-window CNN based on features from pre-trained language models
Van‐The Le, Muhammad Shahid Malik, Yi-Hsuan Tseng, et al.
Computational Biology and Chemistry (2024) Vol. 110, pp. 108055-108055
Closed Access | Times Cited: 5
AI-Assisted Rational Design and Activity Prediction of Biological Elements for Optimizing Transcription-Factor-Based Biosensors
Nana Ding, Zenan Yuan, Zheng Ma, et al.
Molecules (2024) Vol. 29, Iss. 15, pp. 3512-3512
Open Access | Times Cited: 4
BTFBS: Binding Prediction of Bacterial Transcription Factors and Binding Sites Based on Deep Learning
Bingbing Jin, Song Liang, Xiaoqian Liu, et al.
Mathematics (2025) Vol. 13, Iss. 4, pp. 589-589
Open Access
A survey on protein–DNA-binding sites in computational biology
Yue Zhang, Wenzheng Bao, Yi Cao, et al.
Briefings in Functional Genomics (2022) Vol. 21, Iss. 5, pp. 357-375
Closed Access | Times Cited: 16
Comprehensive analysis of computational approaches in plant transcription factors binding regions discovery
Jyoti, Ritu Ritu, Sagar Gupta, et al.
Heliyon (2024) Vol. 10, Iss. 20, pp. e39140-e39140
Open Access | Times Cited: 1
Improving the prediction of DNA-protein binding by integrating multi-scale dense convolutional network with fault-tolerant coding
Yuhang Yin, Long-Chen Shen, Yuan-Hao Jiang, et al.
Analytical Biochemistry (2022) Vol. 656, pp. 114878-114878
Closed Access | Times Cited: 7
Comprehensive evaluation of plant transcription factors binding sites discovery tools
Jyoti, Ritu Ritu, Sagar Gupta, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
Prediction of Protein-Binding Sites in DNA Sequences
Kenta Nakai
Elsevier eBooks (2024)
Closed Access
CBLANE: A deep learning approach for Transcription Factor Binding Sites Prediction
Jonas Chris Ferrao, Dickson Dias, Sweta Morajkar
Research Square (Research Square) (2024)
Open Access
The evaluation of transcription factor binding site prediction tools in human and Arabidopsis genomes
Dinithi V. Wanniarachchi, Sameera Viswakula, Anushka M. Wickramasuriya
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access
iDHS-FFLG: Identifying DNase I Hypersensitive Sites by Feature Fusion and Local–Global Feature Extraction Network
Lei-Shan Wang, Zhan-Li Sun
Interdisciplinary Sciences Computational Life Sciences (2022) Vol. 15, Iss. 2, pp. 155-170
Closed Access | Times Cited: 2
How Deepbics Quantifies Intensities of Transcription Factor-DNA Binding and Facilitates Prediction of Single Nucleotide Variant Pathogenicity With a Deep Learning Model Trained On ChIP-Seq Data Sets
Lijun Quan, Xiaomin Chu, Xiaoyu Sun, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2022) Vol. 20, Iss. 2, pp. 1594-1599
Closed Access | Times Cited: 1
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