Who Cited It

Backpropagation through time: what it does and how to do it

1990 · Proceedings of the IEEE · 4,971 citations · 11 from inside this corpus

Paul J. Werbos

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.

Backpropagation through time: what it does and how to do it (1990)Backpropagation through time:…Learning Internal Representations by Error Propagation (1985)Learning Internal Representat…Parallel Distributed Processing (1986)Parallel Distributed Processi…Sequence to Sequence Learning with Neural Networks (2014)Sequence to Sequence Learning…Connectionist temporal classification (2006)Connectionist temporal classi…An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Mode… (2018)An Empirical Evaluation of Ge…Harnessing Nonlinearity: Predicting Chaotic Systems and Saving Energy in Wireless Communi… (2004)Harnessing Nonlinearity: Pred…Sequence to Sequence Learning with Neural Networks (2014)Sequence to Sequence Learning…Reservoir computing approaches to recurrent neural network training (2009)Reservoir computing approache…Knowledge Graph Embedding: A Survey of Approaches and Applications (2017)Knowledge Graph Embedding: A …Recent advances in physical reservoir computing: A review (2019)Recent advances in physical r…Neural networks for control systems—A survey (1992)Neural networks for control s…Cross-lingual Language Model Pretraining (2019)Cross-lingual Language Model …Hybrid computing using a neural network with dynamic external memory (2016)Hybrid computing using a neur…
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.
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What this paper cites, inside the corpus

PaperYearCited
Learning Internal Representations by Error Propagation198516,273
Parallel Distributed Processing198615,411

What cites it, inside the corpus

PaperYearCited
Sequence to Sequence Learning with Neural Networks201413,351
Connectionist temporal classification20065,582
An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Mode…20184,364
Harnessing Nonlinearity: Predicting Chaotic Systems and Saving Energy in Wireless Communi…20043,862
Sequence to Sequence Learning with Neural Networks20143,514
Reservoir computing approaches to recurrent neural network training20092,992
Knowledge Graph Embedding: A Survey of Approaches and Applications20172,703
Recent advances in physical reservoir computing: A review20192,125
Neural networks for control systems—A survey19921,871
Cross-lingual Language Model Pretraining20191,624
Hybrid computing using a neural network with dynamic external memory20161,448

Links

DOI · OpenAlex record

Topics

Neural Networks and ApplicationsComputer Science
Fault Detection and Control SystemsEngineering
Computational Physics and Python ApplicationsComputer Science

Is this record sound?

complete

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

  • supports1 author record(s) attached.
  • supports26 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:44+00:00.

sha256 648f8491aaceaa34…