Xue Bin Peng

3.5k total citations · 3 hit papers
26 papers, 1.9k citations indexed

About

Xue Bin Peng is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Xue Bin Peng has authored 26 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Control and Systems Engineering, 10 papers in Computer Vision and Pattern Recognition and 9 papers in Artificial Intelligence. Recurrent topics in Xue Bin Peng's work include Human Motion and Animation (11 papers), Human Pose and Action Recognition (9 papers) and Robotic Locomotion and Control (8 papers). Xue Bin Peng is often cited by papers focused on Human Motion and Animation (11 papers), Human Pose and Action Recognition (9 papers) and Robotic Locomotion and Control (8 papers). Xue Bin Peng collaborates with scholars based in United States, Canada and China. Xue Bin Peng's co-authors include Michiel van de Panne, Sergey Levine, Pieter Abbeel, Glen Berseth, KangKang Yin, Angjoo Kanazawa, Ze Ma, Koushil Sreenath, Zhongyu Li and Sanja Fidler and has published in prestigious journals such as IEEE Access, ACM Transactions on Graphics and The International Journal of Robotics Research.

In The Last Decade

Xue Bin Peng

25 papers receiving 1.8k citations

Hit Papers

align trajectories sort by overperformance

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.

DeepMimic

2018 457 citations Xue Bin Peng, Pieter Abbeel et al. ACM Transactions on Graphics profile →
DeepLoco

2017 319 citations Xue Bin Peng, Glen Berseth et al. ACM Transactions on Graphics profile →
AMP

2021 204 citations Xue Bin Peng, Ze Ma et al. ACM Transactions on Graphics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xue Bin Peng United States	16	1.0k	925	688	496	115	26	1.9k
Jie Tan United States	22	916 0.9×	573 0.6×	532 0.8×	764 1.5×	148 1.3×	53	2.2k
Sehoon Ha United States	17	494 0.5×	510 0.6×	433 0.6×	253 0.5×	178 1.5×	62	1.3k
KangKang Yin Canada	21	1.3k 1.3×	1.4k 1.5×	373 0.5×	220 0.4×	56 0.5×	38	1.9k
Rui Yan China	26	849 0.8×	709 0.8×	440 0.6×	479 1.0×	320 2.8×	139	2.4k
Michael Gienger Germany	29	1.5k 1.4×	561 0.6×	1.1k 1.6×	535 1.1×	248 2.2×	101	2.3k
Christian Goerick Germany	22	592 0.6×	623 0.7×	329 0.5×	367 0.7×	74 0.6×	118	1.5k
Mike Stilman United States	25	1.3k 1.2×	1.3k 1.4×	552 0.8×	420 0.8×	295 2.6×	75	2.0k
Takamitsu Matsubara Japan	23	896 0.9×	274 0.3×	1000 1.5×	518 1.0×	221 1.9×	150	2.0k
Satoshi Kagami Japan	26	881 0.8×	884 1.0×	1.3k 1.9×	167 0.3×	177 1.5×	115	2.0k
Jeannette Bohg United States	25	1.2k 1.1×	843 0.9×	542 0.8×	526 1.1×	220 1.9×	83	2.1k

Countries citing papers authored by Xue Bin Peng

Since Specialization

Citations

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

Fields of papers citing papers by Xue Bin Peng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xue Bin Peng. 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 Xue Bin Peng. The network helps show where Xue Bin Peng may publish in the future.

Co-authorship network of co-authors of Xue Bin Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Xue Bin Peng. A scholar is included among the top collaborators of Xue Bin Peng 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 Xue Bin Peng. Xue Bin Peng 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

Petrovich, Mathis, Or Litany, Umar Iqbal, et al.. (2024). Multi-Track Timeline Control for Text-Driven 3D Human Motion Generation. SPIRE - Sciences Po Institutional REpository. 1911–1921. 8 indexed citations

Li, Zhongyu, Xue Bin Peng, Pieter Abbeel, et al.. (2023). Robust and Versatile Bipedal Jumping Control through Reinforcement Learning. 29 indexed citations

Huang, Xiaoyu, Zhongyu Li, Yiming Ni, et al.. (2023). Creating a Dynamic Quadrupedal Robotic Goalkeeper with Reinforcement Learning. 2715–2722. 20 indexed citations

Li, Zhongyu, et al.. (2022). Hierarchical Reinforcement Learning for Precise Soccer Shooting Skills using a Quadrupedal Robot. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 1479–1486. 40 indexed citations

Smith, Laura, et al.. (2022). Legged Robots that Keep on Learning: Fine-Tuning Locomotion Policies in the Real World. 2022 International Conference on Robotics and Automation (ICRA). 1593–1599. 55 indexed citations

Peng, Xue Bin, et al.. (2022). ASE. ACM Transactions on Graphics. 41(4). 1–17. 108 indexed citations

Peng, Xue Bin, Ze Ma, Pieter Abbeel, Sergey Levine, & Angjoo Kanazawa. (2021). AMP. ACM Transactions on Graphics. 40(4). 1–20. 204 indexed citations breakdown →

Li, Zhongyu, Xuxin Cheng, Xue Bin Peng, et al.. (2021). Reinforcement Learning for Robust Parameterized Locomotion Control of Bipedal Robots. 2811–2817. 117 indexed citations

Song, Seungmoon, Łukasz Kidziński, Xue Bin Peng, et al.. (2021). Deep reinforcement learning for modeling human locomotion control in neuromechanical simulation. Journal of NeuroEngineering and Rehabilitation. 18(1). 126–126. 58 indexed citations

10.

Peng, Xue Bin, Ze Ma, Pieter Abbeel, Sergey Levine, & Angjoo Kanazawa. (2021). AMP. ACM Transactions on Graphics. 40(4). 1–20. 7 indexed citations

11.

Peng, Xue Bin, Pieter Abbeel, Sergey Levine, & Michiel van de Panne. (2018). DeepMimic. ACM Transactions on Graphics. 37(4). 1–14. 457 indexed citations breakdown →

12.

Peng, Xue Bin, Angjoo Kanazawa, Jitendra Malik, Pieter Abbeel, & Sergey Levine. (2018). SFV. ACM Transactions on Graphics. 37(6). 1–14. 115 indexed citations

13.

Peng, Xue Bin, Glen Berseth, KangKang Yin, & Michiel van de Panne. (2017). DeepLoco. ACM Transactions on Graphics. 36(4). 1–13. 319 indexed citations breakdown →

14.

Xue, Shaoshen, Jianghua Feng, Shuying Guo, et al.. (2017). Iron loss model for electrical machines fed by low switching frequency PWM. 2017 IEEE International Magnetics Conference (INTERMAG). 1–1. 1 indexed citations

15.

Peng, Xue Bin. (2017). Developing locomotion skills with deep reinforcement learning. Open Collections.

16.

Peng, Xue Bin, Glen Berseth, & Michiel van de Panne. (2015). Dynamic terrain traversal skills using reinforcement learning. ACM Transactions on Graphics. 34(4). 1–11. 47 indexed citations

17.

Shi, Huaitao, Jianchang Liu, Yuhou Wu, et al.. (2014). Fault diagnosis of nonlinear and large-scale processes using novel modified kernel Fisher discriminant analysis approach. International Journal of Systems Science. 47(5). 1095–1109. 11 indexed citations

18.

Shi, Huaitao, Jianchang Liu, Xue Bin Peng, et al.. (2014). Improved Relative-transformation Principal Component Analysis Based on Mahalanobis Distance and Its Application for Fault Detection. ACTA AUTOMATICA SINICA. 39(9). 1533–1542. 2 indexed citations

19.

Shi, Huaitao, Jianchang Liu, Xue Bin Peng, et al.. (2013). Improved Relative-transformation Principal Component Analysis Based on Mahalanobis Distance and Its Application for Fault Detection. Acta Automatica Sinica. 39(9). 1533–1542. 2 indexed citations

20.

Fan, Bo, et al.. (2009). Analog circuit fault diagnosis based on neural network and fuzzy logic. 199–202. 7 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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