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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:

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

Showing 20 citing articles:

Predicting DNA structure using a deep learning method
Jinsen Li, Tsu-Pei Chiu, Remo Rohs
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 29
ML-FGAT: Identification of multi-label protein subcellular localization by interpretable graph attention networks and feature-generative adversarial networks
Congjing Wang, Yifei Wang, Pengju Ding, et al.
Computers in Biology and Medicine (2024) Vol. 170, pp. 107944-107944
Closed Access | Times Cited: 8
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
TBCA: Prediction of Transcription Factor Binding Sites Using a Deep Neural Network With Lightweight Attention Mechanism
Xun Wang, Qiao Lian, Peng Qu, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 4, pp. 2397-2407
Open Access | Times Cited: 5
Types of Exoskeletons, Exoskeleton AI Algorithms, and Integration of the Two: Advances From 2020 to 2024
Yichen Wu
(2025)
Closed Access
A Review on the Applications of Transformer-based language models for Nucleotide Sequence Analysis
Nimisha Ghosh, Daniele Santoni, Indrajit Saha, et al.
Computational and Structural Biotechnology Journal (2025)
Open Access
Deep Neural Network‐Mining of Rice Drought‐Responsive TF‐TAG Modules by a Combinatorial Analysis of ATAC‐Seq and RNA‐Seq
Jingpeng Liu, Ximiao Shi, Zhitai Zhang, et al.
Plant Cell & Environment (2025)
Closed Access
ECA-PHV: Predicting human-virus protein-protein interactions through an interpretable model of effective channel attention mechanism
Minghui Wang, Jiali Lai, Jihua Jia, et al.
Chemometrics and Intelligent Laboratory Systems (2024) Vol. 247, pp. 105103-105103
Closed Access | Times Cited: 4
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
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
Identifying transcription factors with cell-type specific DNA binding signatures
Aseel Awdeh, Marcel Turcotte, Theodore J. Perkins
BMC Genomics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 1
BCDB: A Dual-Branch Network Based on Transformer for Predicting Transcription Factor Binding Sites
Jiaqi He, Yupeng Zhang, Yuhang Liu, et al.
Methods (2024)
Closed Access | Times Cited: 1
Deep DNAshape: Predicting DNA shape considering extended flanking regions using a deep learning method
Jinsen Li, Tsu-Pei Chiu, Remo Rohs
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
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
Advances in computational and experimental approaches for deciphering transcriptional regulatory networks
Camille Moeckel, Ioannis Mouratidis, Nikol Chantzi, et al.
BioEssays (2024) Vol. 46, Iss. 7
Open Access
MLSNet: a deep learning model for predicting transcription factor binding sites
Yuchuan Zhang, Zhikang Wang, Fang Ge, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 6
Open Access
DeepTFBS: Transkripsiyon Faktörü Bağlanma Bölgeleri Tahmini İçin Derin Öğrenme Yöntemleri Kullanan Hibrit Bir Model
Ayşegül Hatipoğlu, Volkan Altuntaş
Journal of Polytechnic (2024)
Open Access
DeepUTF: Locating transcription factor binding sites via interpretable dual-channel encoder-decoder structure
Pengju Ding, Jianxin Wang, Shiyue He, et al.
Pattern Recognition (2024), pp. 111279-111279
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
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