Liyiming Ke

427 citations
8 papers · 137 indexed · h-index 5
Topics
Robot Manipulation and Learning (3 papers)Reinforcement Learning in Robotics (2 papers)Advanced Image and Video Retrieval Techniques (1 paper)
Journals
Proceedings of the AAAI Conference on Artificial Intelligence

In The Last Decade

Liyiming Ke

7 papers receiving 136 citations

Peers

Liyiming Ke
Comparison fields: 5 of 20
  • Computer Vision and Pattern Recognition 95
  • Artificial Intelligence 87
  • Control and Systems Engineering 31
  • Aerospace Engineering 9
  • Mechanical Engineering 7
Replace Kuo-Hao Zeng with:
Kuo-Hao Zeng United States
Eric Undersander United States
Unnat Jain United States
Suneel Belkhale United States
Thanard Kurutach United States
Siddharth Karamcheti United States
Samarth Sinha Canada
Keerthana Gopalakrishnan United States
Coline Devin United States
Oleksandr Maksymets United States
Liyiming Ke relative to Kuo-Hao Zeng United States Kuo-Hao Zeng's profile →
Citations per field
00.5×
Kuo-Hao Zeng · 1×
Citations per year

Countries citing papers authored by Liyiming Ke

Since Specialization
Citations

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

Fields of papers citing papers by Liyiming Ke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liyiming Ke

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

All Works

8 of 8 papers shown
#WorkIndexed citations
1 1
2 0
3 6
4 4
5 20
6 10
7 93
8 3

About Liyiming Ke

Liyiming Ke is a scholar working on Computer Science Applications, Artificial Intelligence and Control and Systems Engineering, having authored 8 papers that have together received 137 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (3 papers), Reinforcement Learning in Robotics (2 papers) and Advanced Image and Video Retrieval Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (95 citations), Artificial Intelligence (87 citations) and Control and Systems Engineering (31 citations). Liyiming Ke has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Siddhartha S Srinivasa, Yejin Choi, Yonatan Bisk, Jingjing Liu, Xiujun Li, Ari Holtzman, Zhe Gan, Jianfeng Gao, Jingqiang Wang and Tapomayukh Bhattacharjee. Their work appears in journals such as Proceedings of the AAAI Conference on Artificial Intelligence.

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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