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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:

LGBM-ACp: an ensemble model for anticancer peptide prediction and in silico screening with potential drug targets
Swarnava Garai, Juanit Thomas, Palash Dey, et al.
Molecular Diversity (2023)
Closed Access | Times Cited: 11

Showing 11 citing articles:

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
Advancing Peptide-Based Cancer Therapy with AI: In-Depth Analysis of State-of-the-Art AI Models
Sadik Bhattarai, Hilal Tayara, Kil To Chong
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 13, pp. 4941-4957
Closed Access | Times Cited: 8
CAPTURE: Comprehensive anti-cancer peptide predictor with a unique amino acid sequence encoder
Hina Ghafoor, Muhammad Nabeel Asim, Muhammad Ali Ibrahim, et al.
Computers in Biology and Medicine (2024) Vol. 176, pp. 108538-108538
Closed Access | Times Cited: 5
GAN-ML: Advancing anticancer peptide prediction through innovative Deep Convolution Generative Adversarial Network data augmentation technique
Sadik Bhattarai, Kil To Chong, Hilal Tayara
Chemometrics and Intelligent Laboratory Systems (2025), pp. 105390-105390
Closed Access
G-ACP: a machine learning approach to the prediction of therapeutic peptides for gastric cancer
Humera Azad, Muhammad Yasir Akbar, Jawad Sarfraz, et al.
Journal of Biomolecular Structure and Dynamics (2024), pp. 1-14
Closed Access | Times Cited: 3
Prebiotic levan type fructan from Bacillus subtilis PR-C18 as a potent antibiofilm agent: Structural elucidation and in silico analysis
Juanit Thomas, Payel Roy, Arabinda Ghosh, et al.
Carbohydrate Research (2024) Vol. 538, pp. 109075-109075
Closed Access | Times Cited: 3
Peptide classification landscape: An in-depth systematic literature review on peptide types, databases, datasets, predictors architectures and performance
Muhammad Nabeel Asim, Tayyaba Asif, Faiza Mehmood, et al.
Computers in Biology and Medicine (2025) Vol. 188, pp. 109821-109821
Closed Access
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
Machine Learning-Based Prediction of International Roughness Index for Continuous Reinforced Concrete Pavements
Ragaa T. Abd El-Hakim, Ahmed N. Awaad, Sherif M. El-Badawy
مجلة کلية دار العلوم (2024) Vol. 49, Iss. 3
Open Access | Times Cited: 2
Anticancer peptides from induced tumor-suppressing cells for inhibiting osteosarcoma cells.
Chang-peng Cui, Qingji Huo, Xue Xiong, et al.
PubMed (2023) Vol. 13, Iss. 9, pp. 4057-4072
Closed Access | Times Cited: 3
Prebiotic Levan Type Fructan from Bacillus Subtilis Pr-C18 as a Potent Antibiofilm Agent: Structural Elucidation and Insilico Analysis
Juanit Thomas, Payel Roy, Arabinda Ghosh, et al.
(2023)
Closed Access
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