Andrew Y. Ng

129.3k total citations · 41 hit papers
208 papers, 68.8k citations indexed

About

Andrew Y. Ng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, Andrew Y. Ng has authored 208 papers receiving a total of 68.8k indexed citations (citations by other indexed papers that have themselves been cited), including 112 papers in Artificial Intelligence, 65 papers in Computer Vision and Pattern Recognition and 21 papers in Aerospace Engineering. Recurrent topics in Andrew Y. Ng's work include Topic Modeling (30 papers), Machine Learning and Algorithms (25 papers) and Natural Language Processing Techniques (24 papers). Andrew Y. Ng is often cited by papers focused on Topic Modeling (30 papers), Machine Learning and Algorithms (25 papers) and Natural Language Processing Techniques (24 papers). Andrew Y. Ng collaborates with scholars based in United States, France and Israel. Andrew Y. Ng's co-authors include Michael I. Jordan, David M. Blei, Christopher D. Manning, Honglak Lee, Richard Socher, Yair Weiss, Pieter Abbeel, Adam Coates, Christopher Potts and Ashutosh Saxena and has published in prestigious journals such as Nature Medicine, Nature Communications and Gastroenterology.

In The Last Decade

Andrew Y. Ng

206 papers receiving 64.2k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Latent dirichlet allocation

2003 18.1k citations Andrew Y. Ng, Michael I. Jordan et al. profile →
On Spectral Clustering: Analysis and an algorithm

2001 5.1k citations Andrew Y. Ng, Michael I. Jordan et al. neural information processing systems profile →
Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank

2013 3.7k citations Richard Socher, Jean Y. Wu et al. profile →
Learning Word Vectors for Sentiment Analysis

2011 1.8k citations Andrew Y. Ng, Christopher Potts et al. profile →
Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network

2018 1.8k citations Pranav Rajpurkar, Andrew Y. Ng et al. profile →
Distance Metric Learning with Application to Clustering with Side-Information

2002 1.7k citations Michael I. Jordan, Andrew Y. Ng et al. Neural Information Processing Systems profile →
Large Scale Distributed Deep Networks

2012 1.7k citations Andrew Y. Ng et al. Neural Information Processing Systems profile →
Apprenticeship learning via inverse reinforcement learning

2004 1.5k citations Andrew Y. Ng et al. profile →
Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations

2009 1.5k citations Honglak Lee, Andrew Y. Ng et al. profile →
Multimodal Deep Learning

2011 1.4k citations Jiquan Ngiam, Honglak Lee et al. International Conference on Machine Learning profile →
An analysis of single-layer networks in unsupervised feature learning

2011 1.4k citations Adam Coates, Andrew Y. Ng et al. profile →
Cheap and fast---but is it good?

2008 1.3k citations Rion Snow, Daniel Jurafsky et al. profile →
On Discriminative vs. Generative Classifiers: A comparison of logistic regression and naive Bayes

2001 1.3k citations Andrew Y. Ng, Michael I. Jordan Neural Information Processing Systems profile →
Self-taught learning

2007 1.0k citations Honglak Lee, Andrew Y. Ng et al. profile →
Feature selection, L₁ vs. L₂ regularization, and rotational invariance

2004 956 citations Andrew Y. Ng profile →
Reasoning With Neural Tensor Networks for Knowledge Base Completion

2013 910 citations Richard Socher, Christopher D. Manning et al. Neural Information Processing Systems profile →
Policy Invariance Under Reward Transformations: Theory and Application to Reward Shaping

1999 843 citations Andrew Y. Ng et al. International Conference on Machine Learning profile →
Semantic Compositionality through Recursive Matrix-Vector Spaces

2012 767 citations Richard Socher, Christopher D. Manning et al. profile →
Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions

2011 743 citations Richard Socher, Andrew Y. Ng et al. profile →
Parsing Natural Scenes and Natural Language with Recursive Neural Networks

2011 676 citations Richard Socher, Christopher D. Manning et al. International Conference on Machine Learning profile →
Learning hierarchical invariant spatio-temporal features for action recognition with independent subspace analysis

2011 658 citations Will Y. Zou, Andrew Y. Ng et al. profile →
Unsupervised feature learning for audio classification using convolutional deep belief networks

2009 645 citations Honglak Lee, Andrew Y. Ng et al. Neural Information Processing Systems profile →
Improving Word Representations via Global Context and Multiple Word Prototypes

2012 640 citations Richard Socher, Christopher D. Manning et al. profile →
Robotic Grasping of Novel Objects using Vision

2008 620 citations Ashutosh Saxena, Andrew Y. Ng et al. profile →
Learning Depth from Single Monocular Images

2005 586 citations Ashutosh Saxena, Sung Heon Chung et al. Neural Information Processing Systems profile →
On optimization methods for deep learning

2011 571 citations Jiquan Ngiam, Adam Coates et al. International Conference on Machine Learning profile →
Sparse deep belief net model for visual area V2

2007 561 citations Honglak Lee, Andrew Y. Ng et al. Neural Information Processing Systems profile →
End-to-End Text Recognition with Convolutional Neural Networks

2012 540 citations Adam Coates, Andrew Y. Ng et al. profile →
Zero-Shot Learning Through Cross-Modal Transfer

2013 511 citations Richard Socher, Christopher D. Manning et al. profile →
Dynamic Pooling and Unfolding Recursive Autoencoders for Paraphrase Detection

2011 477 citations Richard Socher, Christopher D. Manning et al. Neural Information Processing Systems profile →
Simultaneous Localization and Mapping with Sparse Extended Information Filters

2004 468 citations Andrew Y. Ng et al. profile →
Grounded Compositional Semantics for Finding and Describing Images with Sentences

2014 465 citations Richard Socher, Christopher D. Manning et al. profile →
Large-scale deep unsupervised learning using graphics processors

2009 421 citations Andrew Y. Ng et al. profile →
Building high-level features using large scale unsupervised learning

2012 406 citations Andrew Y. Ng et al. International Conference on Machine Learning profile →
3-D Depth Reconstruction from a Single Still Image

2007 390 citations Ashutosh Saxena, Sung Heon Chung et al. profile →
Autonomous Helicopter Aerobatics through Apprenticeship Learning

2010 372 citations Adam Coates, Andrew Y. Ng et al. profile →
Convolutional-Recursive Deep Learning for 3D Object Classification

2012 358 citations Richard Socher, Christopher D. Manning et al. Neural Information Processing Systems profile →
Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk Scoring

2016 319 citations Mads Nielsen, Andrew Y. Ng et al. profile →
The Importance of Encoding Versus Training with Sparse Coding and Vector Quantization

2011 314 citations Adam Coates, Andrew Y. Ng International Conference on Machine Learning profile →
End-to-End People Detection in Crowded Scenes

2016 309 citations Andrew Y. Ng et al. profile →
Expert-level detection of pathologies from unannotated chest X-ray images via self-supervised learning

2022 189 citations Andrew Y. Ng, Pranav Rajpurkar et al. profile →

Peers

Countries citing papers authored by Andrew Y. Ng

Since Specialization

Citations

This map shows the geographic impact of Andrew Y. Ng's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Andrew Y. Ng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Y. Ng more than expected).

Fields of papers citing papers by Andrew Y. Ng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew Y. Ng. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Andrew Y. Ng. The network helps show where Andrew Y. Ng may publish in the future.

Co-authorship network of co-authors of Andrew Y. Ng

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Y. Ng. A scholar is included among the top collaborators of Andrew Y. Ng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Andrew Y. Ng. Andrew Y. Ng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	MedAgentBench: A Virtual EHR Environment to Benchmark Medical LLM Agents 2025 ·NEJM AI ·(unknown), (unknown), (unknown), (unknown), James Zou, Andrew Y. Ng, Jonathan H. Chen	7
2	Benchmarking saliency methods for chest X-ray interpretation 2022 ·Nature Machine Intelligence ·(unknown), (unknown), Ashwin Agrawal, Anuj Pareek, Steven Q. H. Truong, Chanh D. Tr. Nguyen, (unknown), Jayne Seekins, Francis G. Blankenberg, Andrew Y. Ng, Matthew P. Lungren, Pranav Rajpurkar	107
3	PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging 2020 ·npj Digital Medicine ·Shih-Cheng Huang, (unknown), Imon Banerjee, Chris Chute, Robyn L. Ball, (unknown), (unknown), Bhavik N. Patel, Pranav Rajpurkar, Jeremy Irvin, Jared Dunnmon, Joseph Bledsoe, Katie Shpanskaya, (unknown), Roham T. Zamanian, Andrew Y. Ng, Matthew P. Lungren	103
4	Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank breakdown → 2013 ·Richard Socher, (unknown), Jean Y. Wu, Jason Chuang, Christopher D. Manning, Andrew Y. Ng, Christopher Potts	3653
5	Breast density scoring with multiscale denoising autoencoders 2012 ·Research at the University of Copenhagen (University of Copenhagen) ·P. Petersen, (unknown), Mads Nielsen, Andrew Y. Ng	3
6	Deep Learning of Invariant Features via Simulated Fixations in Video 2012 ·Neural Information Processing Systems ·Will Y. Zou, Shenghuo Zhu, Kai Yu, Andrew Y. Ng	87
7	Sparse Filtering 2011 ·Neural Information Processing Systems ·Jiquan Ngiam, Zhenghao Chen, (unknown), Pang Wei Koh, Andrew Y. Ng	118
8	The Importance of Encoding Versus Training with Sparse Coding and Vector Quantization breakdown → 2011 ·International Conference on Machine Learning ·Adam Coates, Andrew Y. Ng	314
9	Energy Disaggregation via Discriminative Sparse Coding 2010 ·Neural Information Processing Systems ·J. Zico Kolter, (unknown), Andrew Y. Ng	250
10	Unsupervised feature learning for audio classification using convolutional deep belief networks breakdown → 2009 ·Neural Information Processing Systems ·Honglak Lee, (unknown), (unknown), Andrew Y. Ng	645
11	Learning grasp strategies with partial shape information 2008 ·National Conference on Artificial Intelligence ·Ashutosh Saxena, Lawson L. S. Wong, Andrew Y. Ng	107
12	Peripheral-foveal vision for real-time object recognition and tracking in video 2007 ·ANU Open Research (Australian National University) ·Stephen Jay Gould, (unknown), Adrian Kaehler, Benjamin Sapp, (unknown), Gary Bradski, (unknown), (unknown), Andrew Y. Ng	57
13	From uncertainty to belief: inferring the specification within 2006 ·Operating Systems Design and Implementation ·Ted Kremenek, (unknown), Godmar Back, Andrew Y. Ng, Dawson Engler	110
14	Learning Depth from Single Monocular Images breakdown → 2005 ·Neural Information Processing Systems ·Ashutosh Saxena, Sung Heon Chung, Andrew Y. Ng	586
15	Transfer learning for text classification 2005 ·Neural Information Processing Systems ·Joshua Shulman, Andrew Y. Ng	137
16	Online Bounds for Bayesian Algorithms 2004 ·ScholarlyCommons (University of Pennsylvania) ·Sham M. Kakade, Andrew Y. Ng	24
17	Learning Syntactic Patterns for Automatic Hypernym Discovery 2004 ·Neural Information Processing Systems ·Rion Snow, Daniel Jurafsky, Andrew Y. Ng	415
18	On Spectral Clustering: Analysis and an algorithm breakdown → 2001 ·neural information processing systems ·Andrew Y. Ng, Michael I. Jordan, Yair Weiss	5099
19	On Discriminative vs. Generative Classifiers: A comparison of logistic regression and naive Bayes breakdown → 2001 ·Neural Information Processing Systems ·Andrew Y. Ng, Michael I. Jordan	1261
20	A sparse sampling algorithm for near-optimal planning in large Markov decision processes 1999 ·International Joint Conference on Artificial Intelligence ·Michael Kearns, Yishay Mansour, Andrew Y. Ng	129

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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