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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:

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

Showing 12 citing articles:

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
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
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
AACFlow: an end-to-end model based on attention augmented convolutional neural network and flow-attention mechanism for identification of anticancer peptides
Shengli Zhang, Ya Zhao, Yunyun Liang
Bioinformatics (2024) Vol. 40, Iss. 3
Open 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
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
CMANet: Convolutional Multi-channel Fusion Attention Mechanism Network for Semantic Image Segmentation
jiajia Liu, chidong huang
Authorea (Authorea) (2024)
Open Access
HemoFuse: multi-feature fusion based on multi-head cross-attention for identification of hemolytic peptides
Ya Zhao, Shengli Zhang, Yunyun Liang
Scientific Reports (2024) Vol. 14, Iss. 1
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
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