Who Cited It

An Introduction to Deep Learning for the Physical Layer

2017 · IEEE Transactions on Cognitive Communications and Networking · 3,005 citations · 3 from inside this corpus

Timothy J. O’Shea, Jakob Hoydis

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

An Introduction to Deep Learning for the Physical Layer (2017)An Introduction to Deep Learn…Adam: A Method for Stochastic Optimization (2014)Adam: A Method for Stochastic…Scikit-learn: Machine Learning in Python (2012)Scikit-learn: Machine Learnin…[No title in the source record — DROPS (Schloss Dagstuhl – Leibniz Center for Informatics… (2015)[No title in the source recor…Dropout: a simple way to prevent neural networks from overfitting (2014)Dropout: a simple way to prev…A Survey on Transfer Learning (2009)A Survey on Transfer LearningMultilayer feedforward networks are universal approximators (1989)Multilayer feedforward networ…A Fast Learning Algorithm for Deep Belief Nets (2006)A Fast Learning Algorithm for…Multilayer feedforward networks are universal approximators (1989)Multilayer feedforward networ…Static Analysis of Shape in TensorFlow Programs (2016)Static Analysis of Shape in T…Convolutional Radio Modulation Recognition Networks (2016)Convolutional Radio Modulatio…[No title in the source record — Edinburgh Research Explorer (University of Edinburgh)][No title in the source recor…Over-the-Air Deep Learning Based Radio Signal Classification (2018)Over-the-Air Deep Learning Ba…Deep Learning Enabled Semantic Communication Systems (2021)Deep Learning Enabled Semanti…
13 of 13 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
this paper works it cites works citing it node size = global citations · hover for the full title

What this paper cites, inside the corpus

PaperYearCited
Adam: A Method for Stochastic Optimization201484,698
Scikit-learn: Machine Learning in Python201264,025
[No title in the source record — DROPS (Schloss Dagstuhl – Leibniz Center for Informatics…201550,396
Dropout: a simple way to prevent neural networks from overfitting201434,236
A Survey on Transfer Learning200923,670
Multilayer feedforward networks are universal approximators198921,633
A Fast Learning Algorithm for Deep Belief Nets200616,540
Multilayer feedforward networks are universal approximators19899,357
Static Analysis of Shape in TensorFlow Programs20161,686
Convolutional Radio Modulation Recognition Networks20161,584

What cites it, inside the corpus

PaperYearCited
[No title in the source record — Edinburgh Research Explorer (University of Edinburgh)]1,853
Over-the-Air Deep Learning Based Radio Signal Classification20181,604
Deep Learning Enabled Semantic Communication Systems20211,547

Links

DOI · OpenAlex record

Topics

Wireless Signal Modulation ClassificationComputer Science
Blind Source Separation TechniquesComputer Science
Radar Systems and Signal ProcessingEngineering

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

  • supports2 author record(s) attached.
  • supports93 reference(s) recorded.
  • supportsThe DOI's year agrees with the publication year.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:47+00:00.

sha256 a08467ae9504f237…