A.Y. Ng

3.4k total citations · 1 hit paper
18 papers, 2.2k citations indexed

About

A.Y. Ng is a scholar working on Control and Systems Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, A.Y. Ng has authored 18 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Control and Systems Engineering, 7 papers in Artificial Intelligence and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in A.Y. Ng's work include Robotics and Sensor-Based Localization (5 papers), Robot Manipulation and Learning (4 papers) and Advanced Vision and Imaging (4 papers). A.Y. Ng is often cited by papers focused on Robotics and Sensor-Based Localization (5 papers), Robot Manipulation and Learning (4 papers) and Advanced Vision and Imaging (4 papers). A.Y. Ng collaborates with scholars based in United States, United Kingdom and Hungary. A.Y. Ng's co-authors include Amit Saxena, Min Sun, Ashutosh Saxena, J. Zico Kolter, Honglak Lee, Erick Delage, Sebastian Thrun, Daphne Koller, Dragomir Anguelov and Ben Taskar and has published in prestigious journals such as Nature Medicine, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

In The Last Decade

A.Y. Ng

17 papers receiving 2.1k citations

Hit 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.

Make3D: Learning 3D Scene Structure from a Single Still Image

2009 1.1k citations Amit Saxena, Min Sun et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
A.Y. Ng United States	16	1.5k	551	513	364	289	18	2.2k
René Ranftl Switzerland	15	1.6k 1.1×	468 0.8×	455 0.9×	178 0.5×	231 0.8×	25	2.3k
Jörg Stückler Germany	25	1.7k 1.1×	258 0.5×	1.4k 2.8×	415 1.1×	136 0.5×	65	2.4k
N. M. Kwok Australia	24	1.1k 0.7×	233 0.4×	790 1.5×	445 1.2×	259 0.9×	110	2.6k
Abraham Bachrach United States	15	1.6k 1.1×	250 0.5×	1.2k 2.4×	194 0.5×	166 0.6×	17	2.2k
Peter Henry United States	11	1.9k 1.2×	268 0.5×	1.2k 2.3×	159 0.4×	127 0.4×	11	2.4k
Robert Laganière Canada	24	1.9k 1.2×	777 1.4×	759 1.5×	97 0.3×	350 1.2×	133	2.7k
Ramakant Nevatia United States	25	2.8k 1.9×	336 0.6×	594 1.2×	113 0.3×	724 2.5×	63	3.3k
Shenlong Wang China	22	1.2k 0.8×	308 0.6×	316 0.6×	68 0.2×	209 0.7×	68	1.8k
Pietro Zanuttigh Italy	25	1.6k 1.0×	113 0.2×	201 0.4×	221 0.6×	642 2.2×	94	2.4k

Countries citing papers authored by A.Y. Ng

Since Specialization

Citations

This map shows the geographic impact of A.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 A.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 A.Y. Ng more than expected).

Fields of papers citing papers by A.Y. Ng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A.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 A.Y. Ng. The network helps show where A.Y. Ng may publish in the future.

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

This figure shows the co-authorship network connecting the top 25 collaborators of A.Y. Ng. A scholar is included among the top collaborators of A.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 A.Y. Ng. A.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:

18 of 18 papers shown

1.

Oberije, Cary, et al.. (2025). Assessing artificial intelligence in breast screening with stratified results on 306 839 mammograms across geographic regions, age, breast density and ethnicity: A Retrospective Investigation Evaluating Screening (ARIES) study. BMJ Health & Care Informatics. 32(1). e101318–e101318.

2.

Ng, A.Y., Cary Oberije, Éva Ambrózay, et al.. (2023). Prospective implementation of AI-assisted screen reading to improve early detection of breast cancer. Nature Medicine. 29(12). 3044–3049. 68 indexed citations

3.

Sharma, Nisha, A.Y. Ng, Jonathan J. James, et al.. (2023). Multi-vendor evaluation of artificial intelligence as an independent reader for double reading in breast cancer screening on 275,900 mammograms. BMC Cancer. 23(1). 460–460. 37 indexed citations

4.

Marsh, Phil, Pranav Rajpurkar, Eduardo Hariton, et al.. (2022). A proof of concept for a deep learning system that can aid embryologists in predicting blastocyst survival after thaw. Scientific Reports. 12(1). 21119–21119. 7 indexed citations

5.

Rao, D. V., et al.. (2010). Grasping novel objects with depth segmentation. 2578–2585. 81 indexed citations

6.

Brewer, Rubell, et al.. (2010). Low-cost accelerometers for robotic manipulator perception. 6168–6174. 34 indexed citations

7.

Saxena, Ashutosh, et al.. (2010). Learning to open new doors. 2751–2757. 66 indexed citations

8.

Saxena, Amit, Min Sun, & A.Y. Ng. (2009). Make3D: Learning 3D Scene Structure from a Single Still Image. IEEE Transactions on Pattern Analysis and Machine Intelligence. 31(5). 824–840. 1092 indexed citations breakdown →

9.

Saxena, Ashutosh, et al.. (2009). Learning 3-D object orientation from images. 794–800. 50 indexed citations

10.

Saxena, Ashutosh & A.Y. Ng. (2009). Learning sound location from a single microphone. 1737–1742. 39 indexed citations

11.

Kolter, J. Zico & A.Y. Ng. (2009). Task-space trajectories via cubic spline optimization. 1675–1682. 51 indexed citations

12.

Kolter, J. Zico & A.Y. Ng. (2009). Policy search via the signed derivative. 42 indexed citations

13.

Abbeel, Pieter, Dmitri Dolgov, A.Y. Ng, & Sebastian Thrun. (2008). Apprenticeship learning for motion planning with application to parking lot navigation. 1083–1090. 81 indexed citations

14.

Kolter, J. Zico & A.Y. Ng. (2007). Learning omnidirectional path following using dimensionality reduction. 21 indexed citations

15.

Delage, Erick, Honglak Lee, & A.Y. Ng. (2006). A Dynamic Bayesian Network Model for Autonomous 3D Reconstruction from a Single Indoor Image. 2. 2418–2428. 147 indexed citations

16.

Lee, Honglak, et al.. (2006). Quadruped robot obstacle negotiation via reinforcement learning. 3003–3010. 37 indexed citations

17.

Petrovskaya, Anna, Oussama Khatib, Sebastian Thrun, & A.Y. Ng. (2006). Bayesian estimation for autonomous object manipulation based on tactile sensors. 707–714. 96 indexed citations

18.

Anguelov, Dragomir, et al.. (2005). Discriminative Learning of Markov Random Fields for Segmentation of 3D Scan Data. 2. 169–176. 257 indexed citations

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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