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:
Review and Comparative Analysis of Machine Learning-based Predictors for Predicting and Analyzing Anti-angiogenic Peptides
Phasit Charoenkwan, Wararat Chiangjong, Md Mehedi Hasan, et al.
Current Medicinal Chemistry (2021) Vol. 29, Iss. 5, pp. 849-864
Closed Access | Times Cited: 9
Phasit Charoenkwan, Wararat Chiangjong, Md Mehedi Hasan, et al.
Current Medicinal Chemistry (2021) Vol. 29, Iss. 5, pp. 849-864
Closed Access | Times Cited: 9
Showing 9 citing articles:
MPMABP: A CNN and Bi-LSTM-Based Method for Predicting Multi-Activities of Bioactive Peptides
You Li, Xueyong Li, Yuewu Liu, et al.
Pharmaceuticals (2022) Vol. 15, Iss. 6, pp. 707-707
Open Access | Times Cited: 23
You Li, Xueyong Li, Yuewu Liu, et al.
Pharmaceuticals (2022) Vol. 15, Iss. 6, pp. 707-707
Open Access | Times Cited: 23
NEPTUNE: A novel computational approach for accurate and large-scale identification of tumor homing peptides
Phasit Charoenkwan, Nalini Schaduangrat, Píetro Lió, et al.
Computers in Biology and Medicine (2022) Vol. 148, pp. 105700-105700
Closed Access | Times Cited: 18
Phasit Charoenkwan, Nalini Schaduangrat, Píetro Lió, et al.
Computers in Biology and Medicine (2022) Vol. 148, pp. 105700-105700
Closed Access | Times Cited: 18
StackPR is a new computational approach for large-scale identification of progesterone receptor antagonists using the stacking strategy
Nalini Schaduangrat, Nuttapat Anuwongcharoen, Mohammad Ali Moni, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 13
Nalini Schaduangrat, Nuttapat Anuwongcharoen, Mohammad Ali Moni, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 13
MetaCGRP is a high-precision meta-model for large-scale identification of CGRP inhibitors using multi-view information
Nalini Schaduangrat, Phisit Khemawoot, Apisada Jiso, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Nalini Schaduangrat, Phisit Khemawoot, Apisada Jiso, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Empirical comparison and analysis of machine learning-based predictors for predicting and analyzing of thermophilic proteins.
Phasit Charoenkwan, Nalini Schaduangrat, Md Mehedi Hasan, et al.
PubMed (2022) Vol. 21, pp. 554-570
Closed Access | Times Cited: 5
Phasit Charoenkwan, Nalini Schaduangrat, Md Mehedi Hasan, et al.
PubMed (2022) Vol. 21, pp. 554-570
Closed Access | Times Cited: 5
Computational Methods and Resources in Biological and Medical Data
Hao Lin
Current Medicinal Chemistry (2022) Vol. 29, Iss. 5, pp. 786-788
Closed Access | Times Cited: 4
Hao Lin
Current Medicinal Chemistry (2022) Vol. 29, Iss. 5, pp. 786-788
Closed Access | Times Cited: 4
Recent development of machine learning-based methods for the prediction of defensin family and subfamily.
Phasit Charoenkwan, Nalini Schaduangrat, Saifuddin Mahmud, et al.
PubMed (2022) Vol. 21, pp. 757-771
Closed Access | Times Cited: 1
Phasit Charoenkwan, Nalini Schaduangrat, Saifuddin Mahmud, et al.
PubMed (2022) Vol. 21, pp. 757-771
Closed Access | Times Cited: 1
Categorical Variable Mapping Considerations in Classification Problems: Protein Application
Gerardo Alfonso, Raquel Castillo
Mathematics (2023) Vol. 11, Iss. 2, pp. 279-279
Open Access
Gerardo Alfonso, Raquel Castillo
Mathematics (2023) Vol. 11, Iss. 2, pp. 279-279
Open Access
