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:
iACP-GE: accurate identification of anticancer peptides by using gradient boosting decision tree and extra tree
Yunyun Liang, Xiaoqiu Ma
SAR and QSAR in environmental research (2022) Vol. 34, Iss. 1, pp. 1-19
Closed Access | Times Cited: 11
Yunyun Liang, Xiaoqiu Ma
SAR and QSAR in environmental research (2022) Vol. 34, Iss. 1, pp. 1-19
Closed Access | Times Cited: 11
Showing 11 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: 3
Muhammad Khalil Shahid, Maqsood Hayat, Wajdi Alghamdi, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 3
Accelerating the Discovery of Anticancer Peptides through Deep Forest Architecture with Deep Graphical Representation
Lantian Yao, Wenshuo Li, Yuntian Zhang, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 5, pp. 4328-4328
Open Access | Times Cited: 18
Lantian Yao, Wenshuo Li, Yuntian Zhang, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 5, pp. 4328-4328
Open Access | Times Cited: 18
ANNprob-ACPs: A novel anticancer peptide identifier based on probabilistic feature fusion approach
Tasmin Karim, Md. Shazzad Hossain Shaon, Md. Fahim Sultan, et al.
Computers in Biology and Medicine (2023) Vol. 169, pp. 107915-107915
Closed Access | Times Cited: 14
Tasmin Karim, Md. Shazzad Hossain Shaon, Md. Fahim Sultan, et al.
Computers in Biology and Medicine (2023) Vol. 169, pp. 107915-107915
Closed Access | Times Cited: 14
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
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
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
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
Muhammad Khalil Shahid, Maqsood Hayat, Ali Raza, et al.
Computational Biology and Chemistry (2025), pp. 108441-108441
Closed Access
StackTHPred: Identifying Tumor-Homing Peptides through GBDT-Based Feature Selection with Stacking Ensemble Architecture
Jiahui Guan, Lantian Yao, Chia‐Ru Chung, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 12, pp. 10348-10348
Open Access | Times Cited: 11
Jiahui Guan, Lantian Yao, Chia‐Ru Chung, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 12, pp. 10348-10348
Open Access | Times Cited: 11
ACP-CapsPred: an explainable computational framework for identification and functional prediction of anticancer peptides based on capsule network
Lantian Yao, Peilin Xie, Jiahui Guan, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 5
Open Access | Times Cited: 4
Lantian Yao, Peilin Xie, Jiahui Guan, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 5
Open Access | Times Cited: 4
Comprehensive Analysis of Computational Models for Prediction of Anticancer Peptides Using Machine Learning and Deep Learning
Farman Ali, Norazlin Ibrahim, Raed Alsini, et al.
Archives of Computational Methods in Engineering (2025)
Closed Access
Farman Ali, Norazlin Ibrahim, Raed Alsini, et al.
Archives of Computational Methods in Engineering (2025)
Closed Access
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
Khosro Rezaee, Hossein Eslami
Artificial Intelligence Review (2025) Vol. 58, Iss. 5
Open Access
Optimization of the Extraction Process of Effective Components of Eleutherococcus senticosus Using Mathematical Models
Shunjie Zhang, Yudan Wang, Tianyang Liu, et al.
Journal of Food Quality (2024) Vol. 2024, Iss. 1
Open Access
Shunjie Zhang, Yudan Wang, Tianyang Liu, et al.
Journal of Food Quality (2024) Vol. 2024, Iss. 1
Open Access
