Tingnan Zhang

2.4k total citations · 2 hit papers
25 papers, 1.3k citations indexed

About

Tingnan Zhang is a scholar working on Biomedical Engineering, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Tingnan Zhang has authored 25 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Biomedical Engineering, 9 papers in Artificial Intelligence and 6 papers in Control and Systems Engineering. Recurrent topics in Tingnan Zhang's work include Robotic Locomotion and Control (15 papers), Reinforcement Learning in Robotics (8 papers) and Soil Mechanics and Vehicle Dynamics (5 papers). Tingnan Zhang is often cited by papers focused on Robotic Locomotion and Control (15 papers), Reinforcement Learning in Robotics (8 papers) and Soil Mechanics and Vehicle Dynamics (5 papers). Tingnan Zhang collaborates with scholars based in United States, Italy and Switzerland. Tingnan Zhang's co-authors include Daniel I. Goldman, Chen Li, Jie Tan, Atıl Işçen, Yunfei Bai, Erwin Coumans, Vincent Vanhoucke, Steven Bohez, Danijar Hafner and Feifei Qian and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and Reports on Progress in Physics.

In The Last Decade

Tingnan Zhang

23 papers receiving 1.3k citations

Hit Papers

Sim-to-Real: Learning Agi... 2013 2026 2017 2021 2018 2013 100 200 300
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. Sim-to-Real: Learning Agile Locomotion For Quadruped Robots
    2018 379 citations Jie Tan, Tingnan Zhang et al. profile →
  2. A Terradynamics of Legged Locomotion on Granular Media
    2013 324 citations Chen Li, Tingnan Zhang et al. Science profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tingnan Zhang United States 14 754 323 294 244 232 25 1.3k
Robin Deits United States 15 902 1.2× 571 1.8× 230 0.8× 158 0.6× 275 1.2× 21 1.5k
Chaohui Gong United States 17 709 0.9× 263 0.8× 399 1.4× 32 0.1× 226 1.0× 43 1.1k
Song Liu China 19 519 0.7× 281 0.9× 172 0.6× 112 0.5× 133 0.6× 128 1.3k
Ross L. Hatton United States 23 1.5k 2.0× 704 2.2× 760 2.6× 51 0.2× 341 1.5× 72 2.0k
Aaron M. Johnson United States 20 619 0.8× 378 1.2× 290 1.0× 74 0.3× 183 0.8× 68 1.0k
Edgar Lobatón United States 23 541 0.7× 111 0.3× 184 0.6× 113 0.5× 264 1.1× 97 1.9k
Jean‐Christophe Zufferey Switzerland 28 727 1.0× 468 1.4× 605 2.1× 236 1.0× 1.4k 6.3× 70 2.9k
Matthew Travers United States 15 541 0.7× 275 0.9× 319 1.1× 41 0.2× 131 0.6× 57 765
Christian Hubicki United States 15 820 1.1× 294 0.9× 157 0.5× 50 0.2× 160 0.7× 36 944
Brian Wilcox United States 20 555 0.7× 371 1.1× 461 1.6× 79 0.3× 520 2.2× 100 1.5k

Countries citing papers authored by Tingnan Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Tingnan Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tingnan Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Tingnan Zhang. A scholar is included among the top collaborators of Tingnan Zhang 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 Tingnan Zhang. Tingnan Zhang 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.
Zhang, Yunzhe, Mingyang Yu, Yikai Wang, et al.. (2025). Human2LocoMan: Learning Versatile Quadrupedal Manipulation with Human Pretraining. 1 indexed citations
2.
3.
Yu, Wenhao, et al.. (2023). A Unified Perspective on Multiple Shooting In Differential Dynamic Programming. 9978–9985. 5 indexed citations
4.
5.
Soto, Daniel, et al.. (2022). Real‐Time Remodeling of Granular Terrain for Robot Locomotion. SHILAP Revista de lepidopterología. 4(12). 7 indexed citations
6.
Lee, Kuang-Huei, Ofir Nachum, Tingnan Zhang, et al.. (2022). PI-ARS: Accelerating Evolution-Learned Visual-Locomotion with Predictive Information Representations. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 1447–1454. 6 indexed citations
7.
Yu, Wenhao, et al.. (2022). Zero-Shot Retargeting of Learned Quadruped Locomotion Policies Using Hybrid Kinodynamic Model Predictive Control. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 11971–11977. 5 indexed citations
8.
Peng, Xue Bin, Wenhao Yu, Tingnan Zhang, et al.. (2022). Adversarial Motion Priors Make Good Substitutes for Complex Reward Functions. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 25–32. 53 indexed citations
9.
Yang, Tsung-Yen, et al.. (2022). Safe Reinforcement Learning for Legged Locomotion. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 2454–2461. 23 indexed citations
10.
Jiang, Yifeng, Tingnan Zhang, Daniel E. Ho, et al.. (2021). SimGAN: Hybrid Simulator Identification for Domain Adaptation via Adversarial Reinforcement Learning. 2884–2890. 29 indexed citations
11.
Pan, Xinlei, Tingnan Zhang, Brian Ichter, et al.. (2020). Zero-shot Imitation Learning from Demonstrations for Legged Robot Visual Navigation. 679–685. 15 indexed citations
12.
Senatore, Carmine, et al.. (2019). Modeling of the interaction of rigid wheels with dry granular media. Journal of Terramechanics. 85. 1–14. 44 indexed citations
13.
Tan, Jie, Tingnan Zhang, Erwin Coumans, et al.. (2018). Sim-to-Real: Learning Agile Locomotion For Quadruped Robots. 379 indexed citations breakdown →
14.
Aguilar, Jeffrey, Tingnan Zhang, Feifei Qian, et al.. (2016). A review on locomotion robophysics: the study of movement at the intersection of robotics, soft matter and dynamical systems. Reports on Progress in Physics. 79(11). 110001–110001. 185 indexed citations
15.
Qian, Feifei, Tingnan Zhang, Wyatt Korff, et al.. (2015). Principles of appendage design in robots and animals determining terradynamic performance on flowable ground. Bioinspiration & Biomimetics. 10(5). 56014–56014. 47 indexed citations
16.
Zhang, Tingnan & Daniel I. Goldman. (2014). The effectiveness of resistive force theory in granular locomotion. Physics of Fluids. 26(10). 99 indexed citations
17.
Li, Chen, Tingnan Zhang, & Daniel I. Goldman. (2013). A Terradynamics of Legged Locomotion on Granular Media. Science. 339(6126). 1408–1412. 324 indexed citations breakdown →
18.
19.
Zhang, Tingnan, Feifei Qian, Chen Li, et al.. (2013). Ground fluidization promotes rapid running of a lightweight robot. The International Journal of Robotics Research. 32(7). 859–869. 28 indexed citations
20.
Qian, Feifei, Tingnan Zhang, Chen Li, et al.. (2012). Walking and running on yielding and fluidizing ground. 13 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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