Xinlei Pan

768 citations
9 papers · 121 indexed · h-index 6
Topics
Reinforcement Learning in Robotics (4 papers)Robot Manipulation and Learning (2 papers)Adversarial Robustness in Machine Learning (2 papers)
Journals
Mechanical Systems and Signal ProcessingProgress in Surface ScienceAdaptive Agents and Multi-Agents Systems
Partner nations
United StatesChinaCanada

In The Last Decade

Xinlei Pan

8 papers receiving 114 citations

Peers

Xinlei Pan
Comparison fields: 5 of 36
  • Artificial Intelligence 70
  • Control and Systems Engineering 35
  • Automotive Engineering 31
  • Computer Vision and Pattern Recognition 28
  • Biomedical Engineering 17
Replace Torsten Koller with:
Torsten Koller Germany
Shane Barratt United States
Zoraze Ali Spain
Ricardo Bedin Grando Brazil
Hamidreza Bagheri Finland
Buu Phan Canada
Simone Soderi Italy
Tania Panayiotou Cyprus
Jianyang Gu China
Xinlei Pan relative to Torsten Koller Germany Torsten Koller's profile →
Citations per field
00.5×1.5×2.1×
Torsten Koller · 1×
Citations per year

Countries citing papers authored by Xinlei Pan

Since Specialization
Citations

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

Fields of papers citing papers by Xinlei Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinlei Pan

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 0
2 4
3 2
4 25
5 8
6 15
7 19
8 9
9 39

About Xinlei Pan

Xinlei Pan is a scholar working on Computer Science Applications, Automotive Engineering and Artificial Intelligence, having authored 9 papers that have together received 121 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (4 papers), Robot Manipulation and Learning (2 papers) and Adversarial Robustness in Machine Learning (2 papers). The work is most often cited by research in Automotive Engineering (31 citations), Artificial Intelligence (70 citations) and Control and Systems Engineering (35 citations). Xinlei Pan has collaborated with scholars based in United States, China and Canada. Frequent co-authors include John Canny, Daniel Seita, Yang Gao, Aleksandra Faust, Jie Tan, Jinfeng Yi, Sehoon Ha, Bo Li, Dawn Song and Tingnan Zhang. Their work appears in journals such as Mechanical Systems and Signal Processing, Progress in Surface Science and Adaptive Agents and Multi-Agents Systems.

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