Changliu Liu

2.5k total citations
98 papers, 1.3k citations indexed

About

Changliu Liu is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Changliu Liu has authored 98 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Control and Systems Engineering, 39 papers in Computer Vision and Pattern Recognition and 36 papers in Artificial Intelligence. Recurrent topics in Changliu Liu's work include Robotic Path Planning Algorithms (26 papers), Autonomous Vehicle Technology and Safety (23 papers) and Robot Manipulation and Learning (22 papers). Changliu Liu is often cited by papers focused on Robotic Path Planning Algorithms (26 papers), Autonomous Vehicle Technology and Safety (23 papers) and Robot Manipulation and Learning (22 papers). Changliu Liu collaborates with scholars based in United States, China and Taiwan. Changliu Liu's co-authors include Masayoshi Tomizuka, Chung‐Yen Lin, Chung‐Wei Lin, Wei Zhan, Letian Wang, Tianhao Wei, Shinichi Shiraishi, Ching‐Yao Chan, Chengyuan Zhang and Lijun Sun and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, The International Journal of Robotics Research and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Changliu Liu

88 papers receiving 1.3k citations

Peers

Changliu Liu
Comparison fields: 5 of 72
  • Control and Systems Engineering 674
  • Automotive Engineering 552
  • Computer Vision and Pattern Recognition 489
  • Artificial Intelligence 259
  • Social Psychology 121
Replace Wilko Schwarting with:
Wilko Schwarting United States
Liting Sun United States
Dmitry Yershov United States
Michal Čáp Czechia
Tankut Acarman Türkiye
Olaf Stursberg Germany
Lie Guo China
Zhenping Sun China
David González France
Ahmed Hussein Spain
Wilko Schwarting United States View profile →
Citations per field, relative to Changliu Liu
Changliu Liu · 1×
Citations per year, relative to Changliu Liu
Changliu Liu · 1×

Countries citing papers authored by Changliu Liu

Since Specialization
Citations

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

Fields of papers citing papers by Changliu Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changliu Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Changliu Liu. A scholar is included among the top collaborators of Changliu Liu 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 Changliu Liu. Changliu Liu 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
# Work Indexed citations
1 0
2 0
3 0
4 1
5 4
6 1
7 2
8 2
9 1
10 7
11 1
12 25
13 0
14 23
15 1
16 4
17 7
18
Model-free Safe Control for Zero-Violation Reinforcement Learning
8
19 9
20 62

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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