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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:

SAResNet: self-attention residual network for predicting DNA-protein binding
Long-Chen Shen, Yan Liu, Jiangning Song, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 5
Open Access | Times Cited: 40

Showing 1-25 of 40 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: 61
A multiple-input deep residual convolutional neural network for reservoir permeability prediction
Milad Masroor, Mohammad Emami Niri, Mohammad Hassan Sharifinasab
Geoenergy Science and Engineering (2023) Vol. 222, pp. 211420-211420
Closed Access | Times Cited: 33
Deep learning in structural bioinformatics: current applications and future perspectives
Niranjan Kumar, Rakesh Srivastava
Briefings in Bioinformatics (2024) Vol. 25, Iss. 3
Open Access | Times Cited: 13
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: 19
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
PTFSpot: deep co-learning on transcription factors and their binding regions attains impeccable universality in plants
Sagar Gupta, Veerbhan Kesarwani, Umesh Bhati, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 4
Open Access | Times Cited: 4
Deep Learning for Predicting Biomolecular Binding Sites of Proteins
Minjie Mou, Zhichao Zhang, Ziqi Pan, et al.
Research (2025) Vol. 8
Open Access
Comparative transcriptomic analysis of primary endometrial cancer and bone metastatic cancer: metastasis-associated genes and abnormal cell cycle regulation
Qinmin Wu, Li Feng, Yunlong Zhang, et al.
Discover Oncology (2025) Vol. 16, Iss. 1
Open Access
Cooperation of local features and global representations by a dual-branch network for transcription factor binding sites prediction
Yutong Yu, Pengju Ding, Hongli Gao, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 2
Open Access | Times Cited: 12
RBP-TSTL is a two-stage transfer learning framework for genome-scale prediction of RNA-binding proteins
Xinxin Peng, Xiaoyu Wang, Yuming Guo, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 4
Open Access | Times Cited: 17
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 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
E2EATP: Fast and High-Accuracy Protein–ATP Binding Residue Prediction via Protein Language Model Embedding
B. Dharma Rao, Xuan Yu, Jie Bai, et al.
Journal of Chemical Information and Modeling (2023) Vol. 64, Iss. 1, pp. 289-300
Closed Access | Times Cited: 9
DRBPPred-GAT: Accurate prediction of DNA-binding proteins and RNA-binding proteins based on graph multi-head attention network
Xinyu Zhang, Yifei Wang, Qinqin Wei, et al.
Knowledge-Based Systems (2023) Vol. 285, pp. 111354-111354
Closed Access | Times Cited: 9
Improving language model of human genome for DNA–protein binding prediction based on task-specific pre-training
Hanyu Luo, Wenyu Shan, Cheng Chen, et al.
Interdisciplinary Sciences Computational Life Sciences (2022)
Closed Access | Times Cited: 15
iEnhancer-BERT: A Novel Transfer Learning Architecture Based on DNA-Language Model for Identifying Enhancers and Their Strength
Hanyu Luo, Libin Chen, Wenyu Shan, et al.
Lecture notes in computer science (2022), pp. 153-165
Closed Access | Times Cited: 13
ResSUMO: A Deep Learning Architecture Based on Residual Structure for Prediction of Lysine SUMOylation Sites
Yafei Zhu, Yuhai Liu, Yu Chen, et al.
Cells (2022) Vol. 11, Iss. 17, pp. 2646-2646
Open Access | Times Cited: 13
ProkDBP: Toward more precise identification of prokaryoticDNAbinding proteins
Upendra Kumar Pradhan, Prabina Kumar Meher, Sanchita Naha, et al.
Protein Science (2024) Vol. 33, Iss. 6
Closed Access | Times Cited: 2
DeepCTF: transcription factor binding specificity prediction using DNA sequence plus shape in an attention-based deep learning model
Sana Tariq, Asjad Amin
Signal Image and Video Processing (2024) Vol. 18, Iss. 6-7, pp. 5239-5251
Closed Access | Times Cited: 2
Predicting transcription factor binding sites by a multi-modal representation learning method based on cross-attention network
Yuxiao Wei, Qi Zhang, Liwei Liu
Applied Soft Computing (2024) Vol. 166, pp. 112134-112134
Closed Access | Times Cited: 2
MGF6mARice: prediction of DNA N6-methyladenine sites in rice by exploiting molecular graph feature and residual block
Mengya Liu, Zhan-Li Sun, Zhigang Zeng, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 3
Closed Access | Times Cited: 12
DeepCAC: a deep learning approach on DNA transcription factors classification based on multi-head self-attention and concatenate convolutional neural network
Jidong Zhang, Bo Liu, Jiahui Wu, et al.
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 6
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
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
Analysis of Emerging Variants of Turkey Reovirus using Machine Learning
Maryam KafiKang, Chamudi Abeysiriwardana, Vikash Singh, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 3
Open Access | Times Cited: 1
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