Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Supercomputing Pipelines Search for Therapeutics Against COVID-19
Josh V. Vermaas, Ada Sedova, Matthew Baker, et al.
Computing in Science & Engineering (2020) Vol. 23, Iss. 1, pp. 7-16
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Supercomputer-Based Ensemble Docking Drug Discovery Pipeline with Application to Covid-19
Atanu Acharya, Rupesh Agarwal, Matthew Baker, et al.
Journal of Chemical Information and Modeling (2020) Vol. 60, Iss. 12, pp. 5832-5852
Open Access | Times Cited: 165
Design and Performance Characterization of RADICAL-Pilot on Leadership-Class Platforms
André Merzky, Matteo Turilli, Mikhail Titov, et al.
IEEE Transactions on Parallel and Distributed Systems (2021) Vol. 33, Iss. 4, pp. 818-829
Open Access | Times Cited: 45
SubMDTA: drug target affinity prediction based on substructure extraction and multi-scale features
Shourun Pan, Leiming Xia, Lei Xu, et al.
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 16
SARS-CoV2 billion-compound docking
David Rogers, Rupesh Agarwal, Josh V. Vermaas, et al.
Scientific Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 14
GPU-optimized approaches to molecular docking-based virtual screening in drug discovery: A comparative analysis
Emanuele Vitali, Federico Ficarelli, Mauro Bisson, et al.
Journal of Parallel and Distributed Computing (2023) Vol. 186, pp. 104819-104819
Open Access | Times Cited: 10
A review of machine learning-based methods for predicting drug–target interactions
Weisong Shi, Hong Yang, Linhai Xie, et al.
Health Information Science and Systems (2024) Vol. 12, Iss. 1
Closed Access | Times Cited: 3
High Throughput Virtual Screening and Validation of a SARS-CoV-2 Main Protease Non-Covalent Inhibitor
Austin Clyde, Stephanie Galanie, Daniel W. Kneller, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 23
Pre‐exascale HPC approaches for molecular dynamics simulations. Covid‐19 research: A use case
Miłosz Wieczór, Vito Genna, Juan Aranda, et al.
Wiley Interdisciplinary Reviews Computational Molecular Science (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 12
Scalable HPC & AI infrastructure for COVID-19 therapeutics
Hyungro Lee, André Merzky, Li Lynn Tan, et al.
(2021), pp. 1-13
Open Access | Times Cited: 16
Applications of Machine Learning and High-Performance Computing in the Era of COVID-19
Abdul Majeed, Sungchang Lee
Applied System Innovation (2021) Vol. 4, Iss. 3, pp. 40-40
Open Access | Times Cited: 15
Drugging the entire human proteome: Are we there yet?
Micholas Dean Smith, L. Darryl Quarles, Omar Demerdash, et al.
Drug Discovery Today (2024) Vol. 29, Iss. 3, pp. 103891-103891
Open Access | Times Cited: 1
Compromise in Docking Power of Liganded Crystal Structures of Mpro SARS-CoV-2 Surpasses 90% Success Rate
Dávid Zajaček, Adriána Dunárová, Lukáš Bučinský, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 5, pp. 1628-1643
Closed Access | Times Cited: 1
Protein data bank: From two epidemics to the global pandemic to mRNA vaccines and Paxlovid
S.K. Burley
Current Opinion in Structural Biology (2024) Vol. 90, pp. 102954-102954
Open Access | Times Cited: 1
High-Performance Deep Learning Toolbox for Genome-Scale Prediction of Protein Structure and Function
Mu Gao, Peik K. Lund-Andersen, Alex Morehead, et al.
(2021), pp. 46-57
Open Access | Times Cited: 12
Molecular Dynamics and Other HPC Simulations for Drug Discovery
Martin Kotev, Constantino Diaz Gonzalez
Methods in molecular biology (2023), pp. 265-291
Closed Access | Times Cited: 2
Portability for GPU-accelerated molecular docking applications for cloud and HPC: can portable compiler directives provide performance across all platforms?
Mathialakan Thavappiragasam, Wael Elwasif, Ada Sedova
2022 22nd IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid) (2022), pp. 975-984
Open Access | Times Cited: 4
Addressing Load Imbalance in Bioinformatics and Biomedical Applications: Efficient Scheduling across Multiple GPUs
Mathialakan Thavappiragasam, Vivek Kale, Óscar Hernández, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2021), pp. 1992-1999
Closed Access | Times Cited: 5
High-throughput drug discovery on the Fujitsu A64FX architecture
Filippo Barbari, Federico Ficarelli, Daniele Cesarini
(2024), pp. 17-23
Closed Access
SchNetPack Hyperparameter Optimization for a More Reliable Top Docking Scores Prediction
Ján Matúška, Lukáš Bučinský, Marián Gall, et al.
The Journal of Physical Chemistry B (2024) Vol. 128, Iss. 20, pp. 4943-4951
Closed Access
Exploring Chemical Spaces in the Billion Range: Is Docking a Computational Alternative to DNA-Encoded Libraries?
Levente M. Mihalovits, Tibor V. Szalai, Dávid Bajusz, et al.
Journal of Chemical Information and Modeling (2024)
Open Access
RAPTOR: Ravenous Throughput Computing
André Merzky, Matteo Turilli, Shantenu Jha
2022 22nd IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid) (2022), pp. 595-604
Open Access | Times Cited: 3
Compiler Optimization Parameter Selection Method Based on Ensemble Learning
Hui Liu, Jinlong Xu, Sen Chen, et al.
Electronics (2022) Vol. 11, Iss. 15, pp. 2452-2452
Open Access | Times Cited: 3
<strong></strong>Supercomputers at the Forefront: From Crisis to Preparedness in Pandemic Response
Mujahed I. Mustafa, Abdelrafie M. Makhawi
(2023)
Open Access | Times Cited: 1
Three practical workflow schedulers for easy maximum parallelism
David Rogers
Software Practice and Experience (2021) Vol. 53, Iss. 1, pp. 99-114
Open Access | Times Cited: 3
Artificial Intelligence in Medicine Discovery:AI in Virtual Screening
Manish Nath Choudhary, James Connolly
(2021) Vol. 11, pp. 1-6
Closed Access | Times Cited: 2
Page 1 - Next Page

Scroll to top