Yanjie Li

804 citations
62 papers · 550 indexed · h-index 13
Topics
Reinforcement Learning in Robotics (25 papers)Adaptive Dynamic Programming Control (9 papers)Autonomous Vehicle Technology and Safety (7 papers)
Journals
SHILAP Revista de lepidopterologíaAutomaticaThe Journal of Physical Chemistry C
Partner nations
ChinaHong KongChile

In The Last Decade

Yanjie Li

60 papers receiving 531 citations

Peers

Yanjie Li
Comparison fields: 5 of 87
  • Computer Vision and Pattern Recognition 198
  • Artificial Intelligence 111
  • Aerospace Engineering 92
  • Electrical and Electronic Engineering 85
  • Control and Systems Engineering 84
Replace Mattias O’Nils with:
Mattias O’Nils Sweden
Zijian Zhao China
Xinghui Dong China
Christoph von Tycowicz Germany
Norbert Druml Austria
Sen Wang China
Riccardo Scopigno Italy
Christian Dick Germany
Yanjie Li relative to Mattias O’Nils Sweden Mattias O’Nils's profile →
Citations per field
00.5×1.5×2.3×
Mattias O’Nils · 1×
Citations per year

Countries citing papers authored by Yanjie Li

Since Specialization
Citations

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

Fields of papers citing papers by Yanjie Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanjie Li

This figure shows the co-authorship network connecting the top 25 collaborators of Yanjie Li. A scholar is included among the top collaborators of Yanjie Li 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 Yanjie Li. Yanjie Li 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
#WorkIndexed citations
1 0
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Sensitivity-based inverse reinforcement learning
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18 23
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Infinite-horizon gradient estimation for semi-Markov decision processes
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20 11

About Yanjie Li

Yanjie Li is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Automotive Engineering, having authored 62 papers that have together received 550 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (25 papers), Adaptive Dynamic Programming Control (9 papers) and Autonomous Vehicle Technology and Safety (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (198 citations), Surfaces, Coatings and Films (42 citations) and Geology (26 citations). Yanjie Li has collaborated with scholars based in China, Hong Kong and Chile. Frequent co-authors include Haoyao Chen, Yunhui Liu, Ke Lin, Xiangqin Li, Tianqing Liu, Sun We, Dong Liang, Heye Zhang, Yuanyuan Sun and Shuo Li. Their work appears in journals such as SHILAP Revista de lepidopterología, Automatica and The Journal of Physical Chemistry C.

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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