Who Cited It

Parallel Distributed Processing

1986 · The MIT Press eBooks · 15,411 citations · 29 from inside this corpus

David E. Rumelhart, James L. McClelland

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.

Parallel Distributed Processing (1986)Parallel Distributed Processi…Support-vector networks (1995)Support-vector networksLearning representations by back-propagating errors (1986)Learning representations by b…Approximation by superpositions of a sigmoidal function (1989)Approximation by superpositio…Ant system: optimization by a colony of cooperating agents (1996)Ant system: optimization by a…The Graph Neural Network Model (2008)The Graph Neural Network ModelLearning long-term dependencies with gradient descent is difficult (1994)Learning long-term dependenci…An introduction to computing with neural nets (1987)An introduction to computing …Simple statistical gradient-following algorithms for connectionist reinforcement learning (1992)Simple statistical gradient-f…Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network (2020)Fundamentals of Recurrent Neu…Artificial neural networks: a tutorial (1996)Artificial neural networks: a…Backpropagation through time: what it does and how to do it (1990)Backpropagation through time:…A general regression neural network (1991)A general regression neural n…Neural network ensembles (1990)Neural network ensemblesA direct adaptive method for faster backpropagation learning: the RPROP algorithm (2002)A direct adaptive method for …Evolving artificial neural networks (1999)Evolving artificial neural ne…Phoneme recognition using time-delay neural networks (1989)Phoneme recognition using tim…On the momentum term in gradient descent learning algorithms (1999)On the momentum term in gradi…30 years of adaptive neural networks: perceptron, Madaline, and backpropagation (1990)30 years of adaptive neural n…Fuzzy ARTMAP: A neural network architecture for incremental supervised learning of analog… (1992)Fuzzy ARTMAP: A neural networ…Stochastic Gradient Descent Tricks (2012)Stochastic Gradient Descent T…How to Grow a Mind: Statistics, Structure, and Abstraction (2011)How to Grow a Mind: Statistic…Attribute-Based Classification for Zero-Shot Visual Object Categorization (2013)Attribute-Based Classificatio…An introduction to simulated evolutionary optimization (1994)An introduction to simulated …Temporal difference learning and TD-Gammon (1995)Temporal difference learning …Forward Models: Supervised Learning with a Distal Teacher (1992)Forward Models: Supervised Le…Distributed representations, simple recurrent networks, and grammatical structure (1991)Distributed representations, …Learning Quickly When Irrelevant Attributes Abound: A New Linear-Threshold Algorithm (1988)Auto-association by multilayer perceptrons and singular value decomposition (1988)A review of clustering techniques and developments (2017)A review of clustering techni…
29 of 29 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 cites it, inside the corpus

PaperYearCited
Support-vector networks199541,028
Learning representations by back-propagating errors198631,688
Approximation by superpositions of a sigmoidal function198913,884
Ant system: optimization by a colony of cooperating agents199612,034
The Graph Neural Network Model20089,662
Learning long-term dependencies with gradient descent is difficult19948,610
An introduction to computing with neural nets19877,871
Simple statistical gradient-following algorithms for connectionist reinforcement learning19927,519
Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network20205,639
Artificial neural networks: a tutorial19964,972
Backpropagation through time: what it does and how to do it19904,971
A general regression neural network19914,504
Neural network ensembles19904,288
A direct adaptive method for faster backpropagation learning: the RPROP algorithm20023,936
Evolving artificial neural networks19993,011
Phoneme recognition using time-delay neural networks19892,650
On the momentum term in gradient descent learning algorithms19992,351
30 years of adaptive neural networks: perceptron, Madaline, and backpropagation19902,244
Fuzzy ARTMAP: A neural network architecture for incremental supervised learning of analog…19921,987
Stochastic Gradient Descent Tricks20121,944
How to Grow a Mind: Statistics, Structure, and Abstraction20111,923
Attribute-Based Classification for Zero-Shot Visual Object Categorization20131,674
An introduction to simulated evolutionary optimization19941,517
Temporal difference learning and TD-Gammon19951,493
Forward Models: Supervised Learning with a Distal Teacher19921,477
Distributed representations, simple recurrent networks, and grammatical structure19911,383
Learning Quickly When Irrelevant Attributes Abound: A New Linear-Threshold Algorithm19881,382
Auto-association by multilayer perceptrons and singular value decomposition19881,369
A review of clustering techniques and developments20171,369

Links

DOI · OpenAlex record

Topics

Cognitive Computing and NetworksComputer Science
Computability, Logic, AI AlgorithmsComputer Science

Is this record sound?

partial

One field of this record is missing or disagrees with another. What is shown below is what the source publishes.

  • supports2 author record(s) attached.
  • weakensNo references are recorded despite 15,411 citations. A paper this heavily cited did not cite nothing, so the record is incomplete.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:40+00:00.

sha256 7e3d99a592f7f61f…