Predicting research trends with semantic and neural networks with an application in quantum physics
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Predicting research trends with semantic and neural networks with an application in quantum physics
Authors
Keywords
-
Journal
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
Volume 117, Issue 4, Pages 1910-1916
Publisher
Proceedings of the National Academy of Sciences
Online
2020-01-15
DOI
10.1073/pnas.1914370116
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Network-based prediction of protein interactions
- (2019) István A. Kovács et al. Nature Communications
- Unsupervised word embeddings capture latent knowledge from materials science literature
- (2019) Vahe Tshitoyan et al. NATURE
- The emergent integrated network structure of scientific research
- (2019) Jordan D. Dworkin et al. PLoS One
- Network Dynamics of Innovation Processes
- (2018) Iacopo Iacopini et al. PHYSICAL REVIEW LETTERS
- Machine learning & artificial intelligence in the quantum domain: a review of recent progress
- (2018) Vedran Dunjko et al. REPORTS ON PROGRESS IN PHYSICS
- Science of science
- (2018) Santo Fortunato et al. SCIENCE
- The landscape of NeuroImage-ing research
- (2018) Jordan D. Dworkin et al. NEUROIMAGE
- Quantum computational supremacy
- (2017) Aram W. Harrow et al. NATURE
- Quantum machine learning
- (2017) Jacob Biamonte et al. NATURE
- The science of science: From the perspective of complex systems
- (2017) An Zeng et al. PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS
- Quantifying the evolution of individual scientific impact
- (2016) R. Sinatra et al. SCIENCE
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Choosing experiments to accelerate collective discovery
- (2015) Andrey Rzhetsky et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- DARPA sets out to automate research
- (2015) J. You SCIENCE
- Quantifying the cognitive extent of science
- (2015) Staša Milojević Journal of Informetrics
- Mapping the Semantic Structure of Cognitive Neuroscience
- (2014) Elizabeth Beam et al. JOURNAL OF COGNITIVE NEUROSCIENCE
- Coauthorship and citation patterns in the Physical Review
- (2013) Travis Martin et al. PHYSICAL REVIEW E
- Atypical Combinations and Scientific Impact
- (2013) B. Uzzi et al. SCIENCE
- Quantitative analysis of the evolution of novelty in cinema through crowdsourced keywords
- (2013) Sameet Sreenivasan Scientific Reports
- Advancing Science through Mining Libraries, Ontologies, and Communities
- (2011) James A. Evans et al. JOURNAL OF BIOLOGICAL CHEMISTRY
- Metaknowledge
- (2011) J. A. Evans et al. SCIENCE
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started