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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:

MA‐PEP: A novel anticancer peptide prediction framework with multimodal feature fusion based on attention mechanism
Liang Xiao, Haochen Zhao, Jianxin Wang
Protein Science (2024) Vol. 33, Iss. 4
Closed Access | Times Cited: 10

Showing 10 citing articles:

pACP-HybDeep: predicting anticancer peptides using binary tree growth based transformer and structural feature encoding with deep-hybrid learning
Muhammad Khalil Shahid, Maqsood Hayat, Wajdi Alghamdi, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 6
Bioactive Peptides Derived from Whey Proteins for Health and Functional Beverages
Margarita Saubenova, Yelena Oleinikova, Alexander Rapoport, et al.
Fermentation (2024) Vol. 10, Iss. 7, pp. 359-359
Open Access | Times Cited: 13
Dynamic Visualization of Computer-Aided Peptide Design for Cancer Therapeutics
Dan Hou, Haobin Zhou, Yuting Tang, et al.
Drug Design Development and Therapy (2025) Vol. Volume 19, pp. 1043-1065
Open Access | Times Cited: 1
ACP-CLB: An Anticancer Peptide Prediction Model Based on Multichannel Discriminative Processing and Integration of Large Pretrained Protein Language Models
Aoyun Geng, Zhenjie Luo, Aohan Li, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access | Times Cited: 1
Bridging machine learning and peptide design for cancer treatment: a comprehensive review
Khosro Rezaee, Hossein Eslami
Artificial Intelligence Review (2025) Vol. 58, Iss. 5
Open Access
Whey as an Optimal Substrate for the Development of Functional Products Enriched with Bioactive Peptides
Margarita Saubenova, Yelena Oleinikova, Alexander Rapoport, et al.
(2024)
Open Access | Times Cited: 3
pACPs-DNN: Predicting Anticancer peptides using Novel Peptide Transformation into Evolutionary and Structure Matrix-based Images with Self-attention Deep Learning Model
Muhammad Khalil Shahid, Maqsood Hayat, Ali Raza, et al.
Computational Biology and Chemistry (2025), pp. 108441-108441
Closed Access
CancerPPD2: an updated repository of anticancer peptides and proteins
Mohit Chauhan, Amisha Gupta, Ritu Tomer, et al.
Database (2025) Vol. 2025
Open Access
iACP-DFSRA: identification of anticancer peptides based on a dual-channel fusion strategy of ResCNN and Attention
Xin Wang, Zimeng Zhang, Chang Liu
Journal of Molecular Biology (2024), pp. 168810-168810
Closed Access | Times Cited: 2
AAindexNC: Estimating the Physicochemical Properties of Non-Canonical Amino Acids, Including Those Derived from the PDB and PDBeChem Databank
Yury V. Milchevskiy, Galina I. Kravatskaya, Yuri V. Kravatsky
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 23, pp. 12555-12555
Open Access
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