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:

AFP-MFL: accurate identification of antifungal peptides using multi-view feature learning
Yitian Fang, Fan Xu, Lesong Wei, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 1
Closed Access | Times Cited: 35

Showing 26-50 of 35 citing articles:

DeepAIP: Deep learning for anti-inflammatory peptide prediction using pre-trained protein language model features based on contextual self-attention network
Lun Zhu, Qingguo Yang, Sen Yang
International Journal of Biological Macromolecules (2024) Vol. 280, pp. 136172-136172
Closed Access | Times Cited: 1

Latent relation shared learning for endometrial cancer diagnosis with incomplete multi-modality medical images
Jiaqi Li, Lejian Liao, Meihuizi Jia, et al.
iScience (2024) Vol. 27, Iss. 8, pp. 110509-110509
Open Access

Cycle-ESM: Generation-assisted classification of antifungal peptides using ESM protein language model
Yiming Wang, Chun Fang
Computational Biology and Chemistry (2024) Vol. 113, pp. 108240-108240
Closed Access

Alg-MFDL: A multi-feature deep learning framework for allergenic proteins prediction
Xiang Hu, Jingyi Li, Taigang Liu
Analytical Biochemistry (2024), pp. 115701-115701
Closed Access

TNFIPs-Net: A deep learning model based on multi-feature fusion for prediction of TNF-α inducing epitopes
Shengli Zhang, Yujie Xu, Yuanyuan Jing, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2023)
Closed Access | Times Cited: 1

Classification of bioactive peptides: a comparative analysis of models and encodings
Edoardo Bizzotto, Guido Zampieri, Laura Treu, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access

MP-MIENN: predicting multifunctional peptides by neural network with multiangle initialization embedding
Jing Xu, Xiaoli Ruan, Jing Yang, et al.
2021 7th International Conference on Computer and Communications (ICCC) (2023), pp. 1993-1998
Closed Access

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