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:

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

Showing 17 citing articles:

Big data and deep learning for RNA biology
Hyeonseo Hwang, Hyeonseong Jeon, Nagyeong Yeo, et al.
Experimental & Molecular Medicine (2024) Vol. 56, Iss. 6, pp. 1293-1321
Open Access | Times Cited: 10

Multi-modality attribute learning-based method for drug–protein interaction prediction based on deep neural network
Weihe Dong, Qiang Yang, Jian Wang, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 3
Closed Access | Times Cited: 17

Digerati – A multipath parallel hybrid deep learning framework for the identification of mycobacterial PE/PPE proteins
Fuyi Li, Xudong Guo, Yue Bi, et al.
Computers in Biology and Medicine (2023) Vol. 163, pp. 107155-107155
Closed Access | Times Cited: 12

Prediction of Multiple Types of RNA Modifications via Biological Language Model
Ying Zhang, Fang Ge, Fuyi Li, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2023) Vol. 20, Iss. 5, pp. 3205-3214
Closed Access | Times Cited: 11

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

DeepPepPI: A deep cross-dependent framework with information sharing mechanism for predicting plant peptide-protein interactions
Zhaowei Wang, Jun Meng, Qiguo Dai, et al.
Expert Systems with Applications (2024) Vol. 252, pp. 124168-124168
Closed Access | Times Cited: 3

RBProkCNN: Deep learning on appropriate contextual evolutionary information for RNA binding protein discovery in prokaryotes
Upendra Kumar Pradhan, Sanchita Naha, Ritwika Das, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 1631-1640
Open Access | Times Cited: 2

RBPLight: a computational tool for discovery of plant-specific RNA-binding proteins using light gradient boosting machine and ensemble of evolutionary features
Upendra Kumar Pradhan, Prabina Kumar Meher, Sanchita Naha, et al.
Briefings in Functional Genomics (2023) Vol. 22, Iss. 5, pp. 401-410
Closed Access | Times Cited: 6

ACP-PDAFF: Pretrained model and dual-channel attentional feature fusion for anticancer peptides prediction
Xinyi Wang, Shunfang Wang
Computational Biology and Chemistry (2024) Vol. 112, pp. 108141-108141
Closed Access | Times Cited: 1

PRONTO-TK: a user-friendly PROtein Neural neTwOrk tool-kit for accessible protein function prediction
Gianfranco Politano, Alfredo Benso, Hafeez Ur Rehman, et al.
NAR Genomics and Bioinformatics (2024) Vol. 6, Iss. 3
Open Access | Times Cited: 1

Advancing microRNA target site prediction with transformer and base-pairing patterns
Yue Bi, Fuyi Li, Cong Wang, et al.
Nucleic Acids Research (2024)
Open Access | Times Cited: 1

Advancing microRNA Target Site Prediction with Transformer and Base-Pairing Patterns
Yue Bi, Fuyi Li, Cong Wang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access

GraphNABP: Identifying nucleic acid-binding proteins with protein graphs and protein language models
Xiang Li, Zhuoyu Wei, Yueran Hu, et al.
International Journal of Biological Macromolecules (2024) Vol. 280, pp. 135599-135599
Closed Access

A comprehensive review of protein-centric predictors for biomolecular interactions: from proteins to nucleic acids and beyond
Pengzhen Jia, Fuhao Zhang, Chaojin Wu, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 3
Open Access

NCSP-PLM: An ensemble learning framework for predicting non-classical secreted proteins based on protein language models and deep learning
Taigang Liu, Chen Song, Chunhua Wang
Mathematical Biosciences & Engineering (2023) Vol. 21, Iss. 1, pp. 1472-1488
Open Access | Times Cited: 1

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