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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:

Serverless Prediction of Peptide Properties with Recurrent Neural Networks
Mehrad Ansari, Andrew Dickson White
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 8, pp. 2546-2553
Open Access | Times Cited: 21

Showing 21 citing articles:

Development and use of machine learning algorithms in vaccine target selection
Barbara Bravi
npj Vaccines (2024) Vol. 9, Iss. 1
Open Access | Times Cited: 22
PeptideBERT: A Language Model Based on Transformers for Peptide Property Prediction
Chakradhar Guntuboina, Adrita Das, Parisa Mollaei, et al.
The Journal of Physical Chemistry Letters (2023) Vol. 14, Iss. 46, pp. 10427-10434
Open Access | Times Cited: 25
Deep learning for advancing peptide drug development: Tools and methods in structure prediction and design
Xinyi Wu, Huitian Lin, Renren Bai, et al.
European Journal of Medicinal Chemistry (2024) Vol. 268, pp. 116262-116262
Closed Access | Times Cited: 8
PepFuNN: Novo Nordisk Open‐Source Toolkit to Enable Peptide in Silico Analysis
Rodrigo Ochoa, Kristine Deibler
Journal of Peptide Science (2025) Vol. 31, Iss. 2
Open Access
Physicochemical and biochemical characterization of antimicrobial peptides
Valentina Quezada, Paula Guzmán-Satoque, María Camila Rincón-Garcia, et al.
Elsevier eBooks (2025), pp. 259-299
Closed Access
Modern machine learning methods for protein property prediction
Arjun Dosajh, P. K. Agrawal, Prathit Chatterjee, et al.
Current Opinion in Structural Biology (2025) Vol. 90, pp. 102990-102990
Closed Access
Prediction of hemolytic peptides and their hemolytic concentration
Anand Singh Rathore, Nishant Kumar, Shubham Choudhury, et al.
Communications Biology (2025) Vol. 8, Iss. 1
Open Access
Artificial intelligence-driven antimicrobial peptide discovery
Paulina Szymczak, Ewa Szczurek
Current Opinion in Structural Biology (2023) Vol. 83, pp. 102733-102733
Open Access | Times Cited: 15
Therapeutic Peptide Development Revolutionized: Harnessing the Power of Artificial Intelligence for Drug Discovery
Samaneh Hashemi, Parisa Vosough, Saeed Taghizadeh, et al.
Heliyon (2024) Vol. 10, Iss. 22, pp. e40265-e40265
Open Access | Times Cited: 4
Computational methods in glaucoma research: Current status and future outlook
Minjae J. Kim, Cole A. Martin, Jin‐Hwa Kim, et al.
Molecular Aspects of Medicine (2023) Vol. 94, pp. 101222-101222
Open Access | Times Cited: 6
Massive Parallel Alignment of RNA-seq Reads in Serverless Computing
Pietro Cinaglia, José Luis Vázquez‐Poletti, Mario Cannataro
Big Data and Cognitive Computing (2023) Vol. 7, Iss. 2, pp. 98-98
Open Access | Times Cited: 5
Generative β-hairpin design using a residue-based physicochemical property landscape
Vardhan Satalkar, Gemechis D. Degaga, Wei Li, et al.
Biophysical Journal (2024) Vol. 123, Iss. 17, pp. 2790-2806
Open Access | Times Cited: 1
Predicting small molecules solubility on endpoint devices using deep ensemble neural networks
Mayk Caldas Ramos, Andrew Dickson White
Digital Discovery (2024) Vol. 3, Iss. 4, pp. 786-795
Open Access | Times Cited: 1
Can large language models predict antimicrobial peptide activity and toxicity?
Markus Orsi, Jean‐Louis Reymond
RSC Medicinal Chemistry (2024) Vol. 15, Iss. 6, pp. 2030-2036
Open Access | Times Cited: 1
PepExplainer: An explainable deep learning model for selection-based macrocyclic peptide bioactivity prediction and optimization
Silong Zhai, Yahong Tan, Cheng Zhu, et al.
European Journal of Medicinal Chemistry (2024) Vol. 275, pp. 116628-116628
Closed Access | Times Cited: 1
Data-driven exploration of silver nanoplate formation in multidimensional chemical design spaces
Huat Thart Chiang, Kiran Vaddi, Lilo D. Pozzo
Digital Discovery (2024)
Open Access
Peptidomics and machine-learning-based evaluation of ncRNA-derived micropeptides in breast cancer: Expression patterns and functional/therapeutic insights.
Alexandre Luiz Korte de Azevedo, Talita Helen Bombardelli Gomig, Michel Batista, et al.
Laboratory Investigation (2024) Vol. 104, Iss. 12, pp. 102150-102150
Closed Access
Non-hemolytic peptide classification using a quantum support vector machine
Shengxin Zhuang, John J. Tanner, Yusen Wu, et al.
Quantum Information Processing (2024) Vol. 23, Iss. 11
Open Access
Multi-Peptide: Multimodality Leveraged Language-Graph Learning of Peptide Properties
Srivathsan Badrinarayanan, Chakradhar Guntuboina, Parisa Mollaei, et al.
Journal of Chemical Information and Modeling (2024) Vol. 65, Iss. 1, pp. 83-91
Open Access
Learning peptide properties with positive examples only
Mehrad Ansari, Andrew Dickson White
Digital Discovery (2024) Vol. 3, Iss. 5, pp. 977-986
Open Access
AbAMPdb: a database of Acinetobacter baumannii specific antimicrobial peptides
Farha Anwer, Ali Navid, F. A. Faiz, et al.
Database (2024) Vol. 2024
Open Access
A method for modelling and executing customized pipelines in serverless computing
Pietro Cinaglia, Mario Cannataro
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2023), pp. 3453-3458
Closed Access | Times Cited: 1
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