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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:

iAMY-SCM: Improved prediction and analysis of amyloid proteins using a scoring card method with propensity scores of dipeptides
Phasit Charoenkwan, Sakawrat Kanthawong, Chanin Nantasenamat, et al.
Genomics (2020) Vol. 113, Iss. 1, pp. 689-698
Open Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Protein Design: From the Aspect of Water Solubility and Stability
Rui Qing, Shilei Hao, Eva Smorodina, et al.
Chemical Reviews (2022) Vol. 122, Iss. 18, pp. 14085-14179
Open Access | Times Cited: 142
BERT4Bitter: a bidirectional encoder representations from transformers (BERT)-based model for improving the prediction of bitter peptides
Phasit Charoenkwan, Chanin Nantasenamat, Md Mehedi Hasan, et al.
Bioinformatics (2021) Vol. 37, Iss. 17, pp. 2556-2562
Closed Access | Times Cited: 136
StackIL6: a stacking ensemble model for improving the prediction of IL-6 inducing peptides
Phasit Charoenkwan, Wararat Chiangjong, Chanin Nantasenamat, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 6
Closed Access | Times Cited: 109
ATSE: a peptide toxicity predictor by exploiting structural and evolutionary information based on graph neural network and attention mechanism
Lesong Wei, Xiucai Ye, Yuyang Xue, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 5
Closed Access | Times Cited: 74
StackDPPIV: A novel computational approach for accurate prediction of dipeptidyl peptidase IV (DPP-IV) inhibitory peptides
Phasit Charoenkwan, Chanin Nantasenamat, Md Mehedi Hasan, et al.
Methods (2021) Vol. 204, pp. 189-198
Closed Access | Times Cited: 58
AMYPred-FRL is a novel approach for accurate prediction of amyloid proteins by using feature representation learning
Phasit Charoenkwan, Saeed Ahmed, Chanin Nantasenamat, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 49
Prediction of Amyloid Proteins using Embedded Evolutionary & Ensemble Feature Selection based Descriptors with eXtreme Gradient Boosting Model
Shahid Akbar, Hashim Ali, Ashfaq Ahmad, et al.
IEEE Access (2023) Vol. 11, pp. 39024-39036
Open Access | Times Cited: 22
Towards a better prediction of subcellular location of long non-coding RNA
Zhao‐Yue Zhang, Zi‐Jie Sun, Yuhe Yang, et al.
Frontiers of Computer Science (2022) Vol. 16, Iss. 5
Closed Access | Times Cited: 35
Pathologic polyglutamine aggregation begins with a self-poisoning polymer crystal
Tej Kandola, Shriram Venkatesan, Jiahui Zhang, et al.
eLife (2023) Vol. 12
Open Access | Times Cited: 13
Predicting amyloid proteins using attention-based long short-term memory
Zhuowen Li
PeerJ Computer Science (2025) Vol. 11, pp. e2660-e2660
Open Access
SCMTHP: A New Approach for Identifying and Characterizing of Tumor-Homing Peptides Using Estimated Propensity Scores of Amino Acids
Phasit Charoenkwan, Wararat Chiangjong, Chanin Nantasenamat, et al.
Pharmaceutics (2022) Vol. 14, Iss. 1, pp. 122-122
Open Access | Times Cited: 19
AB-Amy: machine learning aided Amyloidogenic risk prediction of therapeutic antibody light chains
Yuwei Zhou, Ziru Huang, Yushu Gou, et al.
Antibody Therapeutics (2023) Vol. 6, Iss. 3, pp. 147-156
Open Access | Times Cited: 9
Prediction of Aggregation Prone Regions in Proteins Using Deep Neural Networks and Their Suppression by Computational Design
Vojtěch Cima, Antonín Kunka, Ekaterina Grakova, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 3
StackHCV: a web-based integrative machine-learning framework for large-scale identification of hepatitis C virus NS5B inhibitors
Aijaz Ahmad Malik, Warot Chotpatiwetchkul, Chuleeporn Phanus‐umporn, et al.
Journal of Computer-Aided Molecular Design (2021) Vol. 35, Iss. 10, pp. 1037-1053
Closed Access | Times Cited: 22
Bibliometric analysis of artificial intelligence for biotechnology and applied microbiology: Exploring research hotspots and frontiers
Dongyu Xu, Bing Liu, Jian Wang, et al.
Frontiers in Bioengineering and Biotechnology (2022) Vol. 10
Open Access | Times Cited: 15
PredNTS: Improved and Robust Prediction of Nitrotyrosine Sites by Integrating Multiple Sequence Features
Andi Nur Nilamyani, Firda Nurul Auliah, Mohammad Ali Moni, et al.
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 5, pp. 2704-2704
Open Access | Times Cited: 18
Pathologic polyglutamine aggregation begins with a self-poisoning polymer crystal
Tej Kandola, Shriram Venkatesan, Jiahui Zhang, et al.
eLife (2023) Vol. 12
Open Access | Times Cited: 7
Multi-view feature fusion and density-based minority over-sampling technique for amyloid protein prediction under imbalanced data
Runtao Yang, Jiaming Liu, Qian Zhang, et al.
Applied Soft Computing (2023) Vol. 150, pp. 111100-111100
Closed Access | Times Cited: 7
StructuralDPPIV: a novel deep learning model based on atom structure for predicting dipeptidyl peptidase-IV inhibitory peptides
Ding Wang, Junru Jin, Zhongshen Li, et al.
Bioinformatics (2024) Vol. 40, Iss. 2
Open Access | Times Cited: 2
AMYGNN: A Graph Convolutional Neural Network-Based Approach for Predicting Amyloid Formation from Polypeptides
Zuojun Yang, Yuhan Wu, Hao Liu, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 5, pp. 1751-1762
Closed Access | Times Cited: 2
SCMRSA: a New Approach for Identifying and Analyzing Anti-MRSA Peptides Using Estimated Propensity Scores of Dipeptides
Phasit Charoenkwan, Sakawrat Kanthawong, Nalini Schaduangrat, et al.
ACS Omega (2022) Vol. 7, Iss. 36, pp. 32653-32664
Open Access | Times Cited: 9
Large-scale comparative review and assessment of computational methods for phage virion proteins identification.
Muhammad Kabir, Chanin Nantasenamat, Sakawrat Kanthawong, et al.
PubMed (2022) Vol. 21, pp. 11-29
Closed Access | Times Cited: 8
iAMAP-SCM: A Novel Computational Tool for Large-Scale Identification of Antimalarial Peptides Using Estimated Propensity Scores of Dipeptides
Phasit Charoenkwan, Nalini Schaduangrat, Píetro Lió, et al.
ACS Omega (2022) Vol. 7, Iss. 45, pp. 41082-41095
Open Access | Times Cited: 8
Amyloid, a Jekyll and Hyde Molecule Inducing Neuronal Decline and Cognitive Dysfunction is Also a Unique Molecular Template used in Nano-electronics, Light Capture Photovoltaics, and Biosensors in Neuromorphic Computing.
James Melrose, Margaret M. Smith
(2024)
Open Access | Times Cited: 1
Pathologic polyglutamine aggregation begins with a self-poisoning polymer crystal
Tej Kandola, Shriram Venkatesan, Jiahui Zhang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 4
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