Andy Zeng

9.8k total citations · 6 hit papers
28 papers, 3.4k citations indexed

About

Andy Zeng is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Andy Zeng has authored 28 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Control and Systems Engineering, 17 papers in Computer Vision and Pattern Recognition and 10 papers in Artificial Intelligence. Recurrent topics in Andy Zeng's work include Robot Manipulation and Learning (18 papers), Robotics and Sensor-Based Localization (7 papers) and Multimodal Machine Learning Applications (6 papers). Andy Zeng is often cited by papers focused on Robot Manipulation and Learning (18 papers), Robotics and Sensor-Based Localization (7 papers) and Multimodal Machine Learning Applications (6 papers). Andy Zeng collaborates with scholars based in United States, Singapore and Germany. Andy Zeng's co-authors include Shuran Song, Thomas Funkhouser, Jianxiong Xiao, Matthew Fisher, Matthias Nießner, Manolis Savva, Anne Lynn S. Chang, Matthias NieBner, Maciej Halber and Yinda Zhang and has published in prestigious journals such as The International Journal of Robotics Research, IEEE Transactions on Robotics and Autonomous Robots.

In The Last Decade

Andy Zeng

27 papers receiving 3.3k citations

Hit Papers

Matterport3D: Learning from RGB-D Data in Indoor Environm... 2017 2026 2020 2023 2017 2017 2017 2023 2023 250 500 750
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.

  1. Matterport3D: Learning from RGB-D Data in Indoor Environments
    2017 950 citations Anne Lynn S. Chang, Angela Dai et al. profile →
  2. 3DMatch: Learning Local Geometric Descriptors from RGB-D Reconstructions
    2017 685 citations Andy Zeng, Shuran Song et al. profile →
  3. Multi-view self-supervised deep learning for 6D pose estimation in the Amazon Picking Challenge
    2017 303 citations Andy Zeng, Kuan‐Ting Yu et al. profile →
  4. Code as Policies: Language Model Programs for Embodied Control
    2023 295 citations Jacky Liang, Wenlong Huang et al. profile →
  5. Visual Language Maps for Robot Navigation
    2023 160 citations Oier Mees, Andy Zeng et al. profile →
  6. TidyBot: personalized robot assistance with large language models
    2023 98 citations Jimmy Wu, Rika Antonova et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andy Zeng United States 18 1.9k 1.0k 991 799 631 28 3.4k
Danfei Xu United States 18 1.3k 0.7× 785 0.8× 1.1k 1.1× 486 0.6× 172 0.3× 30 2.4k
Stan Birchfield United States 33 3.6k 1.9× 1.1k 1.1× 725 0.7× 478 0.6× 150 0.2× 82 4.6k
Ankur Handa United Kingdom 18 1.5k 0.8× 1.1k 1.1× 462 0.5× 233 0.3× 475 0.8× 31 2.3k
Fei Gao China 31 3.0k 1.6× 2.6k 2.5× 957 1.0× 350 0.4× 183 0.3× 142 4.1k
César Cadena Switzerland 28 3.0k 1.6× 3.4k 3.3× 413 0.4× 546 0.7× 788 1.2× 90 4.6k
Ivan Petrović Croatia 29 1.3k 0.7× 1.1k 1.1× 1.2k 1.2× 357 0.4× 207 0.3× 230 3.0k
Javier González-Jiménez Spain 29 1.3k 0.7× 1.2k 1.2× 320 0.3× 232 0.3× 329 0.5× 137 2.7k
Manolis Savva United States 21 3.7k 2.0× 1.3k 1.3× 375 0.4× 602 0.8× 1.4k 2.2× 49 5.1k
Rong Xiong China 24 1.0k 0.6× 1.0k 1.0× 636 0.6× 261 0.3× 276 0.4× 291 2.5k
Roberto Martín-Martín United States 21 1.0k 0.6× 627 0.6× 992 1.0× 296 0.4× 162 0.3× 48 1.8k

Countries citing papers authored by Andy Zeng

Since Specialization
Citations

This map shows the geographic impact of Andy Zeng'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 Andy Zeng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andy Zeng more than expected).

Fields of papers citing papers by Andy Zeng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andy Zeng. 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 Andy Zeng. The network helps show where Andy Zeng may publish in the future.

Co-authorship network of co-authors of Andy Zeng

This figure shows the co-authorship network connecting the top 25 collaborators of Andy Zeng. A scholar is included among the top collaborators of Andy Zeng 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 Andy Zeng. Andy Zeng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Huang, Chenguang, Oier Mees, Andy Zeng, & Wolfram Burgard. (2025). Multimodal spatial language maps for robot navigation and manipulation. The International Journal of Robotics Research.
2.
Jain, Deepali, et al.. (2024). Embodied AI with Two Arms: Zero-shot Learning, Safety and Modularity. 3651–3657. 3 indexed citations
3.
Kawaharazuka, Kento, et al.. (2024). Real-World Robot Applications of Foundation Models: A Review. arXiv (Cornell University). 1 indexed citations
4.
Kawaharazuka, Kento, et al.. (2024). Real-world robot applications of foundation models: a review. Advanced Robotics. 38(18). 1232–1254. 24 indexed citations
5.
Wu, Jimmy, Rika Antonova, Marion Lepert, et al.. (2023). TidyBot: Personalized Robot Assistance with Large Language Models. 3546–3553. 50 indexed citations
6.
Liang, Jacky, Wenlong Huang, Fei Xia, et al.. (2023). Code as Policies: Language Model Programs for Embodied Control. 9493–9500. 295 indexed citations breakdown →
7.
Subramanian, Sanjay, Medhini Narasimhan, Kevin Yang, et al.. (2023). Modular Visual Question Answering via Code Generation. 14 indexed citations
8.
Pan, Zherong, Andy Zeng, Yunzhu Li, Jingjin Yu, & Kris Hauser. (2022). Algorithms and Systems for Manipulating Multiple Objects. IEEE Transactions on Robotics. 39(1). 2–20. 18 indexed citations
9.
Seita, Daniel, Pete Florence, Jonathan Tompson, et al.. (2021). Learning to Rearrange Deformable Cables, Fabrics, and Bags with Goal-Conditioned Transporter Networks. 4568–4575. 92 indexed citations
10.
Rivas, Alberto, Jacob Varley, Andy Zeng, et al.. (2021). Reward Machines for Vision-Based Robotic Manipulation. 14284–14290. 8 indexed citations
11.
Zeng, Andy, et al.. (2020). Form2Fit: Learning Shape Priors for Generalizable Assembly from Disassembly. 9404–9410. 60 indexed citations
12.
Zeng, Andy, Shuran Song, Johnny Lee, Alberto Rodríguez, & Thomas Funkhouser. (2020). TossingBot: Learning to Throw Arbitrary Objects With Residual Physics. IEEE Transactions on Robotics. 36(4). 1307–1319. 167 indexed citations
13.
Moore, Matthew R., et al.. (2020). Clear Grasp: 3D Shape Estimation of Transparent Objects for Manipulation. 3634–3642. 145 indexed citations
14.
Xu, Zhenjia, Jiajun Wu, Andy Zeng, Joshua B. Tenenbaum, & Shuran Song. (2019). DensePhysNet: Learning Dense Physical Object Representations Via Multi-Step Dynamic Interactions. 47 indexed citations
15.
Fujita, Masahiro, Yukiyasu Domae, Akio Noda, et al.. (2019). What are the important technologies for bin picking? Technology analysis of robots in competitions based on a set of performance metrics. Advanced Robotics. 1–15. 51 indexed citations
16.
Zeng, Andy. (2019). Learning Visual Affordances for Robotic Manipulation. 13 indexed citations
17.
Song, Shuran, Andy Zeng, Anne Lynn S. Chang, et al.. (2018). Im2Pano3D: Extrapolating 360° Structure and Semantics Beyond the Field of View. 3847–3856. 41 indexed citations
18.
Zeng, Andy, Kuan‐Ting Yu, Shuran Song, et al.. (2017). Multi-view self-supervised deep learning for 6D pose estimation in the Amazon Picking Challenge. 1386–1383. 303 indexed citations breakdown →
19.
Chang, Anne Lynn S., Angela Dai, Thomas Funkhouser, et al.. (2017). Matterport3D: Learning from RGB-D Data in Indoor Environments. 667–676. 950 indexed citations breakdown →
20.
Zeng, Andy, Vishnu Naresh Boddeti, Kris Kitani, & Takeo Kanade. (2015). Face Alignment Refinement. 162–169. 1 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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