Yunzhu Li

3.0k total citations · 3 hit papers
33 papers, 1.8k citations indexed

About

Yunzhu Li is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Mechanical Engineering. According to data from OpenAlex, Yunzhu Li has authored 33 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 10 papers in Control and Systems Engineering and 10 papers in Mechanical Engineering. Recurrent topics in Yunzhu Li's work include Robot Manipulation and Learning (8 papers), Tactile and Sensory Interactions (6 papers) and Advanced Thermodynamic Systems and Engines (5 papers). Yunzhu Li is often cited by papers focused on Robot Manipulation and Learning (8 papers), Tactile and Sensory Interactions (6 papers) and Advanced Thermodynamic Systems and Engines (5 papers). Yunzhu Li collaborates with scholars based in United States, China and Germany. Yunzhu Li's co-authors include Antonio Torralba, Wojciech Matusik, Jun-Yan Zhu, Petr Kellnhofer, Subramanian Sundaram, Gang Pei, Jing Li, Jie Ji, Dongyue Wang and Yiyue Luo and has published in prestigious journals such as Nature, Nature Communications and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Yunzhu Li

28 papers receiving 1.8k citations

Hit Papers

Learning the signatures o... 2019 2026 2021 2023 2019 2021 2024 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yunzhu Li United States 13 1.1k 755 480 323 285 33 1.8k
Shuo Gao China 26 961 0.9× 465 0.6× 157 0.3× 506 1.6× 247 0.9× 164 2.0k
Shijie Guo China 25 1.4k 1.3× 309 0.4× 177 0.4× 531 1.6× 84 0.3× 197 2.1k
Ruize Xu China 12 803 0.7× 311 0.4× 255 0.5× 345 1.1× 148 0.5× 41 1.2k
Chenchen Sun China 18 1.6k 1.5× 645 0.9× 307 0.6× 427 1.3× 199 0.7× 39 1.9k
Caihua Xiong China 31 1.8k 1.6× 324 0.4× 619 1.3× 199 0.6× 118 0.4× 177 2.9k
Jiyu Wang United States 15 900 0.8× 335 0.4× 389 0.8× 443 1.4× 45 0.2× 56 1.3k
Mauro Serpelloni Italy 26 1.3k 1.2× 180 0.2× 427 0.9× 1.1k 3.3× 146 0.5× 152 2.2k
Ruud Vullers Netherlands 25 932 0.9× 236 0.3× 1.1k 2.3× 1.7k 5.2× 44 0.2× 88 3.0k
Yingzhong Tian China 18 1.3k 1.2× 397 0.5× 507 1.1× 261 0.8× 84 0.3× 104 1.8k
Giovanni Saggio Italy 25 1.0k 1.0× 460 0.6× 151 0.3× 465 1.4× 493 1.7× 167 2.2k

Countries citing papers authored by Yunzhu Li

Since Specialization
Citations

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

Fields of papers citing papers by Yunzhu Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunzhu Li

This figure shows the co-authorship network connecting the top 25 collaborators of Yunzhu Li. A scholar is included among the top collaborators of Yunzhu Li 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 Yunzhu Li. Yunzhu Li 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.
Tian, Stephen, Tobias Pfaff, Cheston Tan, et al.. (2025). A review of learning-based dynamics models for robotic manipulation. Science Robotics. 10(106). eadt1497–eadt1497.
2.
Chen, Zhenfang, Kexin Yi, Yunzhu Li, et al.. (2025). Compositional Physical Reasoning of Objects and Events From Videos. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(9). 7689–7703. 1 indexed citations
3.
Jiang, Hanxiao, Shaowei Liu, Saurabh Gupta, et al.. (2025). PhysGen3D: Crafting a Miniature Interactive World from a Single Image. 6178–6189.
5.
Ai, Bo, Stephen Tian, Haochen Shi, et al.. (2024). RoboPack: Learning Tactile-Informed Dynamics Models for Dense Packing. 4 indexed citations
6.
Luo, Yiyue, Chao Liu, Young Joong Lee, et al.. (2024). Adaptive tactile interaction transfer via digitally embroidered smart gloves. Nature Communications. 15(1). 868–868. 60 indexed citations breakdown →
7.
Wang, Yixuan, Yunzhu Li, Katherine Driggs-Campbell, Li Fei-Fei, & Jiajun Wu. (2023). Dynamic-Resolution Model Learning for Object Pile Manipulation. 5 indexed citations
8.
Xu, Huazhe, et al.. (2023). RoboCraft: Learning to see, simulate, and shape elasto-plastic objects in 3D with graph networks. The International Journal of Robotics Research. 43(4). 533–549. 16 indexed citations
9.
Gao, Ruohan, Yiming Dou, Jeannette Bohg, et al.. (2023). The Object Folder Benchmark : Multisensory Learning with Neural and Real Objects. 17276–17286. 11 indexed citations
10.
Li, Jianli, et al.. (2023). Multi-Node Motion Estimation Method Based on B-Spline of Array Position and Orientation System. Remote Sensing. 15(11). 2892–2892.
11.
Tian, Stephen, et al.. (2023). Multi-Object Manipulation via Object-Centric Neural Scattering Functions. 9021–9031. 4 indexed citations
12.
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
13.
Zhang, Kaiqing, et al.. (2022). Discrete Approximate Information States in Partially Observable Environments. 2022 American Control Conference (ACC). 16. 1406–1413. 4 indexed citations
14.
Luo, Yiyue, Yunzhu Li, Michael Foshey, et al.. (2021). Intelligent Carpet: Inferring 3D Human Pose from Tactile Signals. 11250–11260. 45 indexed citations
15.
Li, Yunzhu, Antonio Torralba, Animashree Anandkumar, Dieter Fox, & Animesh Garg. (2020). Causal Discovery in Physical Systems from Videos. CaltechAUTHORS (California Institute of Technology). 33. 9180–9192. 2 indexed citations
16.
Li, Yunzhu, Kexin Yi, Daniel M. Bear, et al.. (2020). Visual Grounding of Learned Physical Models. 1. 5927–5936. 3 indexed citations
17.
Sundaram, Subramanian, Petr Kellnhofer, Yunzhu Li, et al.. (2019). Learning the signatures of the human grasp using a scalable tactile glove. Nature. 569(7758). 698–702. 880 indexed citations breakdown →
18.
Zhao, Lan, Chunlei Zhou, Li Li, et al.. (2016). Acupuncture Improves Cerebral Microenvironment in Mice with Alzheimer’s Disease Treated with Hippocampal Neural Stem Cells. Molecular Neurobiology. 54(7). 5120–5130. 25 indexed citations
19.
Li, Jing, Gang Pei, Yunzhu Li, & Jie Ji. (2013). Analysis of a novel gravity driven organic Rankine cycle for small-scale cogeneration applications. Applied Energy. 108. 34–44. 28 indexed citations
20.
Li, Jing, Gang Pei, Yunzhu Li, Dongyue Wang, & Jie Ji. (2012). Examination of the expander leaving loss in variable organic Rankine cycle operation. Energy Conversion and Management. 65. 66–74. 23 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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