Zhanpeng He

688 total citations
18 papers, 181 citations indexed

About

Zhanpeng He is a scholar working on Control and Systems Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Zhanpeng He has authored 18 papers receiving a total of 181 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Control and Systems Engineering, 8 papers in Artificial Intelligence and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Zhanpeng He's work include Robot Manipulation and Learning (7 papers), Reinforcement Learning in Robotics (6 papers) and Auction Theory and Applications (3 papers). Zhanpeng He is often cited by papers focused on Robot Manipulation and Learning (7 papers), Reinforcement Learning in Robotics (6 papers) and Auction Theory and Applications (3 papers). Zhanpeng He collaborates with scholars based in United States, China and South Korea. Zhanpeng He's co-authors include Shuran Song, Zhenjia Xu, Matei Ciocarlie, Yichuan Jiang, Weiwei Wu, Wanyuan Wang, Peng Shi, Tianjian Chen, Bo An and Bing Chen and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, The International Journal of Robotics Research and IEEE Transactions on Mobile Computing.

In The Last Decade

Zhanpeng He

16 papers receiving 175 citations

Peers

Zhanpeng He
Scott Fujimoto Canada
Damien Pellier France
Steven Kapturowski United States
Abbas Abdolmaleki Portugal
Chenjia Bai China
Deirdre Quillen United States
Humbert Fiorino France
Yunlong Mao China
Bernhard Hengst Australia
Zhen Zeng China
Scott Fujimoto Canada
Zhanpeng He
Citations per year, relative to Zhanpeng He Zhanpeng He (= 1×) peers Scott Fujimoto

Countries citing papers authored by Zhanpeng He

Since Specialization
Citations

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

Fields of papers citing papers by Zhanpeng He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhanpeng He

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

All Works

18 of 18 papers shown
1.
2.
He, Zhanpeng & Matei Ciocarlie. (2024). MORPH: Design Co-optimization with Reinforcement Learning via a Differentiable Hardware Model Proxy. 7764–7771. 1 indexed citations
3.
He, Zhanpeng, Sandip Pravin Patel, Gunnar A. Sigurdsson, et al.. (2024). Decision Making for Human-in-the-loop Robotic Agents via Uncertainty-Aware Reinforcement Learning. 7939–7945. 4 indexed citations
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He, Zhanpeng, et al.. (2023). A Decoupling Matrix-Based Learning Control Scheme for the Machine Directional Register of Roll-to-Roll Systems. IEEE Transactions on Industrial Electronics. 70(8). 8398–8407. 6 indexed citations
6.
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He, Zhanpeng, et al.. (2023). An Adaptive Decoupling Register Control Method for Roll-to-Roll Printing Systems. Journal of Dynamic Systems Measurement and Control. 145(10). 3 indexed citations
8.
Ma, Dong, Zhihua Chen, Zhanpeng He, & Xueqin Huang. (2022). A SNARE Protein Identification Method Based on iLearnPlus to Efficiently Solve the Data Imbalance Problem. Frontiers in Genetics. 12. 818841–818841. 1 indexed citations
9.
He, Zhanpeng & Matei Ciocarlie. (2022). Discovering Synergies for Robot Manipulation with Multi-Task Reinforcement Learning. 2022 International Conference on Robotics and Automation (ICRA). 2714–2721. 9 indexed citations
10.
Xu, Zhenjia, Zhanpeng He, & Shuran Song. (2022). Universal Manipulation Policy Network for Articulated Objects. IEEE Robotics and Automation Letters. 7(2). 2447–2454. 36 indexed citations
11.
Chen, Tianjian, Zhanpeng He, & Matei Ciocarlie. (2021). Co-designing hardware and control for robot hands. Science Robotics. 6(54). 17 indexed citations
12.
Xu, Zhenjia, Zhanpeng He, Jiajun Wu, & Shuran Song. (2020). Learning 3D Dynamic Scene Representations for Robot Manipulation. 126–142. 2 indexed citations
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Julian, Ryan, Eric Heiden, Zhanpeng He, et al.. (2020). Scaling simulation-to-real transfer by learning a latent space of robot skills. The International Journal of Robotics Research. 39(10-11). 1259–1278. 1 indexed citations
15.
Yu, Tianhe, Deirdre Quillen, Zhanpeng He, et al.. (2019). Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning. 2019. 1094–1100. 27 indexed citations
16.
Wang, Wanyuan, Zhanpeng He, Peng Shi, et al.. (2018). Strategic Social Team Crowdsourcing: Forming a Team of Truthful Workers for Crowdsourcing in Social Networks. IEEE Transactions on Mobile Computing. 18(6). 1419–1432. 41 indexed citations
17.
Wang, Wanyuan, Zhanpeng He, Peng Shi, Weiwei Wu, & Yichuan Jiang. (2016). Truthful Team Formation for Crowdsourcing in Social Networks: (Extended Abstract). Adaptive Agents and Multi-Agents Systems. 1327–1328. 6 indexed citations
18.
He, Zhanpeng, Weiwei Wu, Peng Shi, Wanyuan Wang, & Yichuan Jiang. (2016). Truthful Team Formation for Crowdsourcing in Social Networks. 5 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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2026