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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:

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: 52

Showing 1-25 of 52 citing articles:

pAtbP-EnC: Identifying Anti-Tubercular Peptides Using Multi-Feature Representation and Genetic Algorithm-Based Deep Ensemble Model
Shahid Akbar, Ali Raza, Tamara Al Shloul, et al.
IEEE Access (2023) Vol. 11, pp. 137099-137114
Open Access | Times Cited: 54
StackedEnC-AOP: prediction of antioxidant proteins using transform evolutionary and sequential features based multi-scale vector with stacked ensemble learning
Gul Rukh, Shahid Akbar, Gauhar Rehman, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 26
Aggrescan4D: structure-informed analysis of pH-dependent protein aggregation
Oriol Bárcenas, Aleksander Kuriata, M. Zalewski, et al.
Nucleic Acids Research (2024) Vol. 52, Iss. W1, pp. W170-W175
Open Access | Times Cited: 13
Leveraging a meta-learning approach to advance the accuracy of Nav blocking peptides prediction
Watshara Shoombuatong, Nutta Homdee, Nalini Schaduangrat, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 12
Stack-HDAC3i: A high-precision identification of HDAC3 inhibitors by exploiting a stacked ensemble-learning framework
Watshara Shoombuatong, Ittipat Meewan, Lawankorn Mookdarsanit, et al.
Methods (2024) Vol. 230, pp. 147-157
Closed Access | Times Cited: 11
An ensemble computational model for prediction of clathrin protein by coupling machine learning with discrete cosine transform
Majdi Khalid, Farman Ali, Wajdi Alghamdi, et al.
Journal of Biomolecular Structure and Dynamics (2024), pp. 1-9
Closed Access | Times Cited: 9
Developing machine‐learning‐based amyloidogenicity predictors with Cross‐Beta DB
Valentin Gonay, Michael P. Dunne, Javier Cáceres-Delpiano, et al.
Alzheimer s & Dementia (2025)
Open Access | Times Cited: 1
Advancing the accuracy of tyrosinase inhibitory peptides prediction via a multiview feature fusion strategy
Watshara Shoombuatong, Nalini Schaduangrat, Nutta Homdee, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Massive experimental quantification allows interpretable deep learning of protein aggregation
Michael Thompson, Mariano Martín, Trinidad Sanmartín Olmo, et al.
Science Advances (2025) Vol. 11, Iss. 18
Open Access | Times Cited: 1
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
DeepAR: a novel deep learning-based hybrid framework for the interpretable prediction of androgen receptor antagonists
Nalini Schaduangrat, Nuttapat Anuwongcharoen, Phasit Charoenkwan, et al.
Journal of Cheminformatics (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 20
Stack-AVP: a stacked ensemble predictor based on multi-view information for fast and accurate discovery of antiviral peptides
Phasit Charoenkwan, Pramote Chumnanpuen, Nalini Schaduangrat, et al.
Journal of Molecular Biology (2024), pp. 168853-168853
Closed Access | Times Cited: 8
Rm-LR: A long-range-based deep learning model for predicting multiple types of RNA modifications
Sirui Liang, Yanxi Zhao, Junru Jin, et al.
Computers in Biology and Medicine (2023) Vol. 164, pp. 107238-107238
Closed Access | Times Cited: 14
A novel stacking-based predictor for accurate prediction of antimicrobial peptides
Sameera Kanwal, Roha Arif, Saeed Ahmed, et al.
Journal of Biomolecular Structure and Dynamics (2024), pp. 1-12
Closed Access | Times Cited: 5
YdbH and YnbE form an intermembrane bridge to maintain lipid homeostasis in the outer membrane of Escherichia coli
Sujeet Kumar, Rebecca Davis, Natividad Ruiz
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 21
Open Access | Times Cited: 5
Deepstack-ACE: A deep stacking-based ensemble learning framework for the accelerated discovery of ACE inhibitory peptides
Phasit Charoenkwan, Pramote Chumnanpuen, Nalini Schaduangrat, et al.
Methods (2024)
Closed Access | Times Cited: 5
PredAoDP: Accurate identification of antioxidant proteins by fusing different descriptors based on evolutionary information with support vector machine
Saeed Ahmed, Muhammad Arif, Muhammad Kabir, et al.
Chemometrics and Intelligent Laboratory Systems (2022) Vol. 228, pp. 104623-104623
Closed Access | Times Cited: 21
StackER: a novel SMILES-based stacked approach for the accelerated and efficient discovery of ERα and ERβ antagonists
Nalini Schaduangrat, Nutta Homdee, Watshara Shoombuatong
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 12
Sulfation of hyaluronic acid reconfigures the mechanistic pathway of bone morphogenetic protein-2 aggregation
Devi Prasanna Behera, Suchismita Subadini, Uwe Freudenberg, et al.
International Journal of Biological Macromolecules (2024) Vol. 263, pp. 130128-130128
Closed Access | Times Cited: 4
A Computational Predictor for Accurate Identification of Tumor Homing Peptides by Integrating Sequential and Deep BiLSTM Features
Roha Arif, Sameera Kanwal, Saeed Ahmed, et al.
Interdisciplinary Sciences Computational Life Sciences (2024) Vol. 16, Iss. 2, pp. 503-518
Closed Access | Times Cited: 4
The impact of cooking and burial on proteins: a characterisation of experimental foodcrusts and ceramics
Miranda Evans, Richard Hagan, Oliver J. Boyd, et al.
Royal Society Open Science (2024) Vol. 11, Iss. 9
Open Access | Times Cited: 4
Predicting amyloid proteins using attention-based long short-term memory
Zhuowen Li
PeerJ Computer Science (2025) Vol. 11, pp. e2660-e2660
Open Access
M3S-GRPred: a novel ensemble learning approach for the interpretable prediction of glucocorticoid receptor antagonists using a multi-step stacking strategy
Nalini Schaduangrat, Hathaichanok Chuntakaruk, Thanyada Rungrotmongkol, et al.
BMC Bioinformatics (2025) Vol. 26, Iss. 1
Open Access
Massive mutagenesis reveals an incomplete amyloid motif in Bri2 that turns amyloidogenic upon C-terminal extension
Mariano Martín, Benedetta Bolognesi
Proceedings of the National Academy of Sciences (2025) Vol. 122, Iss. 18
Open Access
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
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