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:
High-throughput virtual laboratory for drug discovery using massive datasets
Jens Gläser, Josh V. Vermaas, David Rogers, et al.
The International Journal of High Performance Computing Applications (2021) Vol. 35, Iss. 5, pp. 452-468
Closed Access | Times Cited: 42
Jens Gläser, Josh V. Vermaas, David Rogers, et al.
The International Journal of High Performance Computing Applications (2021) Vol. 35, Iss. 5, pp. 452-468
Closed Access | Times Cited: 42
Showing 26-50 of 42 citing articles:
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
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
LIGATE - LIgand Generator and portable drug discovery platform AT Exascale
Gianluca Palermo, Gianmarco Accordi, Davide Gadioli, et al.
(2024), pp. 107-109
Closed Access
Gianluca Palermo, Gianmarco Accordi, Davide Gadioli, et al.
(2024), pp. 107-109
Closed Access
A Portable Drug Discovery Platform for Urgent Computing
Davide Gadioli, Gianmarco Accordi, Jan Křenek, et al.
Procedia Computer Science (2024) Vol. 240, pp. 42-51
Open Access
Davide Gadioli, Gianmarco Accordi, Jan Křenek, et al.
Procedia Computer Science (2024) Vol. 240, pp. 42-51
Open Access
Transcription Factor Databases
Subham Kapil, P. S. Bagga, Punit Puri, et al.
Elsevier eBooks (2024)
Closed Access
Subham Kapil, P. S. Bagga, Punit Puri, et al.
Elsevier eBooks (2024)
Closed 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
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
Evaluating scalable supervised learning for synthesize-on-demand chemical libraries
Moayad Alnammi, Shengchao Liu, Spencer S. Ericksen, et al.
(2023)
Open Access | Times Cited: 1
Moayad Alnammi, Shengchao Liu, Spencer S. Ericksen, et al.
(2023)
Open Access | Times Cited: 1
HiTViSc: High-Throughput Virtual Screening as a Service
Natalia Nikitina, Evgeny Ivashko
Lecture notes in computer science (2023), pp. 83-92
Closed Access | Times Cited: 1
Natalia Nikitina, Evgeny Ivashko
Lecture notes in computer science (2023), pp. 83-92
Closed Access | Times Cited: 1
Evaluating scalable supervised learning for synthesize-on-demand chemical libraries
Moayad Alnammi, Shengchao Liu, Spencer S. Ericksen, et al.
(2021)
Open Access | Times Cited: 1
Moayad Alnammi, Shengchao Liu, Spencer S. Ericksen, et al.
(2021)
Open Access | Times Cited: 1
Evaluating scalable supervised learning for synthesize-on-demand chemical libraries
Moayad Alnammi, Shengchao Liu, Spencer S. Ericksen, et al.
(2023)
Open Access
Moayad Alnammi, Shengchao Liu, Spencer S. Ericksen, et al.
(2023)
Open Access
A European Drug-Discovery Platform: From In Silico to Experimental Validation
Gianluca Palermo, Daniela Iaconis, Philip Gribbon
SpringerBriefs in applied sciences and technology (2023), pp. 9-17
Closed Access
Gianluca Palermo, Daniela Iaconis, Philip Gribbon
SpringerBriefs in applied sciences and technology (2023), pp. 9-17
Closed Access
Domain-Specific Energy Modeling for Drug Discovery and Magnetohydrodynamics Applications
Lorenzo Carpentieri, Marco D'Antonio, Kaijie Fan, et al.
(2023), pp. 1790-1800
Open Access
Lorenzo Carpentieri, Marco D'Antonio, Kaijie Fan, et al.
(2023), pp. 1790-1800
Open Access
Computational Medicine in the Exascale Computing Era: Applications at the Oak Ridge Leadership Computing Facility
Georgia D. Tourassi
(2023), pp. 75-79
Closed Access
Georgia D. Tourassi
(2023), pp. 75-79
Closed Access
Scaling SQL to the Supercomputer for Interactive Analysis of Simulation Data
Jens Gläser, Felipe Aramburú, William Malpica, et al.
Communications in computer and information science (2022), pp. 327-339
Closed Access
Jens Gläser, Felipe Aramburú, William Malpica, et al.
Communications in computer and information science (2022), pp. 327-339
Closed Access
Modeling design of university laboratory based on virtual reality technology
Chunlan Shen
2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2022) (2022), pp. 174-174
Closed Access
Chunlan Shen
2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2022) (2022), pp. 174-174
Closed Access
Characterizing flexibility and mobility in the natural mutations of the SARS-CoV-2 spikes
James Panayis, Navodya S. Römer, Dom Bellini, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access
James Panayis, Navodya S. Römer, Dom Bellini, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access
EXSCALATE: An extreme-scale in-silico virtual screening platform to evaluate 1 trillion compounds in 60 hours on 81 PFLOPS supercomputers
Davide Gadioli, Emanuele Vitali, Federico Ficarelli, et al.
arXiv (Cornell University) (2021)
Closed Access
Davide Gadioli, Emanuele Vitali, Federico Ficarelli, et al.
arXiv (Cornell University) (2021)
Closed Access
Evaluating scalable supervised learning for synthesize-on-demand chemical libraries
Moayad Alnammi, Shengchao Liu, Spencer S. Ericksen, et al.
(2021)
Open Access
Moayad Alnammi, Shengchao Liu, Spencer S. Ericksen, et al.
(2021)
Open Access
