Shaoshan Liu

503 citations
10 papers · 324 indexed · h-index 7
Topics
Robotic Path Planning Algorithms (5 papers)Autonomous Vehicle Technology and Safety (3 papers)Robotics and Sensor-Based Localization (3 papers)
Partner nations
United StatesChina

In The Last Decade

Shaoshan Liu

9 papers receiving 312 citations

Peers

Shaoshan Liu
Comparison fields: 5 of 60
  • Electrical and Electronic Engineering 104
  • Computer Vision and Pattern Recognition 96
  • Automotive Engineering 91
  • Aerospace Engineering 69
  • Computer Networks and Communications 68
Replace Vipin Kumar Kukkala with:
Vipin Kumar Kukkala United States
Baofu Wu China
Matt Skach United States
Yuki Kitsukawa Japan
Wolfram Hardt Germany
Mihir Mody United States
Kalinka Regina Lucas Jaquie Castelo Branco Brazil
Bassam Alrifaee Germany
Manisha Chahal India
Hamadou Saliah-Hassane Canada
Shaoshan Liu relative to Vipin Kumar Kukkala United States Vipin Kumar Kukkala's profile →
Citations per field
00.5×
Vipin Kumar Kukkala · 1×
Citations per year

Countries citing papers authored by Shaoshan Liu

Since Specialization
Citations

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

Fields of papers citing papers by Shaoshan Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaoshan Liu

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 0
2 8
3 76
4 14
5 116
6 72
7 4
8
Energy Reduction with Run-Time Partial Reconfiguration
13
9
Minimizing Partial Reconfiguration Overhead with Fully Streaming DMA Engines and Intelligent ICAP Controller
20
10 1

About Shaoshan Liu

Shaoshan Liu is a scholar working on Hardware and Architecture, Automotive Engineering and Computer Vision and Pattern Recognition, having authored 10 papers that have together received 324 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (5 papers), Autonomous Vehicle Technology and Safety (3 papers) and Robotics and Sensor-Based Localization (3 papers). The work is most often cited by research in Hardware and Architecture (59 citations), Automotive Engineering (91 citations) and Computer Vision and Pattern Recognition (96 citations). Shaoshan Liu has collaborated with scholars based in United States and China. Frequent co-authors include Jie Tang, Jean‐Luc Gaudiot, Liyun Li, Shuang Wu, Alessandro Forin, Zishen Wan, Yuhao Zhu, Yu Wang, Yu Bo and Arijit Raychowdhury. Their work appears in journals such as Communications of the ACM, Computer and IEEE Circuits and Systems Magazine.

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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