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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:

Deep learning methods in protein structure prediction
Mirko Torrisi, Gianluca Pollastri, Quan Le
Computational and Structural Biotechnology Journal (2020) Vol. 18, pp. 1301-1310
Open Access | Times Cited: 245

Showing 26-50 of 245 citing articles:

An Integrated Approach of Belief Rule Base and Deep Learning to Predict Air Pollution
Sami Kabir, Raihan Ul Islam, Mohammad Shahadat Hossain, et al.
Sensors (2020) Vol. 20, Iss. 7, pp. 1956-1956
Open Access | Times Cited: 66
Analysis of protein-ligand interactions of SARS-CoV-2 against selective drug using deep neural networks
N. Yuvaraj, K. Srihari, Selvaraj Chandragandhi, et al.
Big Data Mining and Analytics (2021) Vol. 4, Iss. 2, pp. 76-83
Open Access | Times Cited: 53
Enzymes in biotechnology: Critical platform technologies for bioprocess development
Constantinos Katsimpouras, Gregory Stephanopoulos
Current Opinion in Biotechnology (2021) Vol. 69, pp. 91-102
Closed Access | Times Cited: 51
Unraveling the roles of plant specialized metabolites: using synthetic biology to design molecular biosensors
Constantine Garagounis, Nikolaos Delkis, Kalliope Κ. Papadopoulou
New Phytologist (2021) Vol. 231, Iss. 4, pp. 1338-1352
Open Access | Times Cited: 47
APPTEST is a novel protocol for the automatic prediction of peptide tertiary structures
Patrick Brendan Timmons, Chandralal M. Hewage
Briefings in Bioinformatics (2021) Vol. 22, Iss. 6
Open Access | Times Cited: 41
From structure to function – Ligand recognition by myeloid C-type lectin receptors
Swantje Fischer, Felix Stegmann, Vinayaga S. Gnanapragassam, et al.
Computational and Structural Biotechnology Journal (2022) Vol. 20, pp. 5790-5812
Open Access | Times Cited: 37
Machine Learning and Artificial Intelligence: A Paradigm Shift in Big Data-Driven Drug Design and Discovery
Purvashi Pasrija, Prakash Jha, Pruthvi Upadhyaya, et al.
Current Topics in Medicinal Chemistry (2022) Vol. 22, Iss. 20, pp. 1692-1727
Closed Access | Times Cited: 36
Emergence of infectious diseases and role of advanced nanomaterials in point-of-care diagnostics: a review
Kalaimani Markandan, Yong Wei Tiong, Revathy Sankaran, et al.
Biotechnology and Genetic Engineering Reviews (2022) Vol. 40, Iss. 4, pp. 3438-3526
Closed Access | Times Cited: 33
Learning to evolve structural ensembles of unfolded and disordered proteins using experimental solution data
Oufan Zhang, Mojtaba Haghighatlari, Jie Li, et al.
The Journal of Chemical Physics (2023) Vol. 158, Iss. 17
Open Access | Times Cited: 22
Identification novel salt-enhancing peptides from largemouth bass and exploration their action mechanism with transmembrane channel-like 4 (TMC4) by molecular simulation
Ying Bu, Chaonan Sun, Jiaqi Guo, et al.
Food Chemistry (2023) Vol. 435, pp. 137614-137614
Closed Access | Times Cited: 17
A review on deep learning applications with semantics
Emre Akdemir, Necaattin Barışçı
Expert Systems with Applications (2024) Vol. 251, pp. 124029-124029
Closed Access | Times Cited: 8
Advanced AI and ML frameworks for Transforming Drug Discovery and Optimization: With Innovative insights in Polypharmacology, Drug Repurposing, Combination Therapy and Nanomedicine.
Subiya Ambreen, Mohammad Umar, Asra Noor, et al.
European Journal of Medicinal Chemistry (2024) Vol. 284, pp. 117164-117164
Closed Access | Times Cited: 8
Terahertz Data Extraction and Analysis Based on Deep Learning Techniques for Emerging Applications
Mavis Gezimati, Ghanshyam Singh
IEEE Access (2024) Vol. 12, pp. 21174-21198
Open Access | Times Cited: 6
Protein Design with Deep Learning
Marianne Defresne, Sophie Barbe, Thomas Schiex
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 21, pp. 11741-11741
Open Access | Times Cited: 39
Surveying over 100 predictors of intrinsic disorder in proteins
Bi Zhao, Lukasz Kurgan
Expert Review of Proteomics (2021) Vol. 18, Iss. 12, pp. 1019-1029
Closed Access | Times Cited: 33
Geometry-Based Molecular Generation With Deep Constrained Variational Autoencoder
Chunyan Li, Junfeng Yao, Wei Wei, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 4, pp. 4852-4861
Closed Access | Times Cited: 28
MolRoPE-BERT: An enhanced molecular representation with Rotary Position Embedding for molecular property prediction
Yunwu Liu, Ruisheng Zhang, Tongfeng Li, et al.
Journal of Molecular Graphics and Modelling (2022) Vol. 118, pp. 108344-108344
Closed Access | Times Cited: 26
Natural compound targeting BDNF V66M variant: insights from in silico docking and molecular analysis
Azra Sakhawat, Muhammad Umer Khan, Raima Rehman, et al.
AMB Express (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 15
Allergenicity of wheat protein in diet: Mechanisms, modifications and challenges
Ming Liu, Jihong Huang, Sen Ma, et al.
Food Research International (2023) Vol. 169, pp. 112913-112913
Closed Access | Times Cited: 14
Petascale Homology Search for Structure Prediction
Sewon Lee, Gyuri Kim, Eli Levy Karin, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 14
Deep learning algorithms for the early detection of breast cancer: A comparative study with traditional machine learning
Rolando Gonzales Martínez, Daan-Max van Dongen
Informatics in Medicine Unlocked (2023) Vol. 41, pp. 101317-101317
Open Access | Times Cited: 14
Insights into the inner workings of transformer models for protein function prediction
Markus Wenzel, Erik Grüner, Nils Strodthoff
Bioinformatics (2024) Vol. 40, Iss. 3
Open Access | Times Cited: 5
MHC-Fine: Fine-tuned AlphaFold for precise MHC-peptide complex prediction
Ernest Glukhov, Dmytro Kalitin, Darya Stepanenko, et al.
Biophysical Journal (2024) Vol. 123, Iss. 17, pp. 2902-2909
Open Access | Times Cited: 5
Accurate Protein pKa Prediction with Physical Organic Chemistry Guided 3D Protein Representation
Siyuan Liu, Qi Yang, Long Zhang, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 11, pp. 4410-4418
Closed Access | Times Cited: 5
Bibliometric analysis of the application of deep learning in cancer from 2015 to 2023
Ruiyu Wang, Shu Huang, Ping Wang, et al.
Cancer Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 5

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