Shaoshan Liu

2.7k total citations · 1 hit paper
97 papers, 1.6k citations indexed

About

Shaoshan Liu is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Hardware and Architecture. According to data from OpenAlex, Shaoshan Liu has authored 97 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Vision and Pattern Recognition, 29 papers in Computer Networks and Communications and 27 papers in Hardware and Architecture. Recurrent topics in Shaoshan Liu's work include Parallel Computing and Optimization Techniques (23 papers), Robotics and Sensor-Based Localization (22 papers) and Autonomous Vehicle Technology and Safety (13 papers). Shaoshan Liu is often cited by papers focused on Parallel Computing and Optimization Techniques (23 papers), Robotics and Sensor-Based Localization (22 papers) and Autonomous Vehicle Technology and Safety (13 papers). Shaoshan Liu collaborates with scholars based in United States, China and United Kingdom. Shaoshan Liu's co-authors include Jie Tang, Yu Bo, Jean‐Luc Gaudiot, Weisong Shi, Liangkai Liu, Yifan Wang, Yuhao Zhu, Alessandro Forin, Jie Tang and Zishen Wan and has published in prestigious journals such as Proceedings of the IEEE, Scientific Reports and Communications of the ACM.

In The Last Decade

Shaoshan Liu

94 papers receiving 1.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Edge Computing for Autonomous Driving: Opportunities and Challenges

2019 489 citations Shaoshan Liu, Liangkai Liu et al. Proceedings of the IEEE profile →

Peers

Shaoshan Liu

CNC

CVPR

EEE

AE

Jie Tang China

Liangkai Liu United States

Y. Charlie Hu United States

Oliver Bringmann Germany

Yung-Hsiang Lu United States

Jean‐Luc Gaudiot United States

Luciano Bononi Italy

Yair Wiseman Israel

Shen Wang Ireland

Jie Tang China

Shaoshan Liu

472 ×0.8

CNC

620 ×1.2

CVPR

429 ×1.0

EEE

240 ×0.8

AE

327 ×1.1

AE

Citations per year, relative to Shaoshan Liu Shaoshan Liu (= 1×) peers Jie Tang

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Bo, Yu, et al.. (2025). Dadu-Corki: Algorithm-Architecture Co-Design for Embodied AI-powered Robotic Manipulation. 327–343.

2.

Wu, Shuang, Yu Bo, Shaoshan Liu, & Yuhao Zhu. (2025). Autonomy 2.0: The Quest for Economies of Scale. Communications of the ACM. 68(4). 28–32.

3.

Liu, Shaoshan, et al.. (2024). Health satisfaction outcome from integrated autonomous mobile clinics. Scientific Reports. 14(1). 24878–24878. 1 indexed citations

4.

Yang, T., et al.. (2024). AICOM-MP: an AI-based monkeypox detector for resource-constrained environments. Connection Science. 36(1). 5 indexed citations

5.

Liu, Shaoshan, et al.. (2023). The Need for a Global Standard of Artificial Intelligence Regulation. ACM SIGCAS Computers and Society. 52(1). 16–16. 2 indexed citations

6.

Liu, Shaoshan, et al.. (2022). Autonomous Mobile Clinics: Empowering Affordable Anywhere, Anytime Healthcare Access. IEEE Engineering Management Review. 50(4). 147–154. 5 indexed citations

7.

Luo, Yunpeng, Ningfei Wang, Bo Yu, Shaoshan Liu, & Qi Alfred Chen. (2022). WIP: Infrastructure-Aided Defense for Autonomous Driving Systems: Opportunities and Challenges. 3 indexed citations

8.

Liu, Shaoshan & Jean‐Luc Gaudiot. (2022). Rise of the Autonomous Machines. Computer. 55(1). 64–73. 6 indexed citations

9.

Bo, Yu, et al.. (2022). Autonomous Vehicles Digital Twin: A Practical Paradigm for Autonomous Driving System Development. Computer. 55(9). 26–34. 24 indexed citations

10.

Guan, Hui, Shaoshan Liu, Xiaolong Ma, et al.. (2021). CoCoPIE. Communications of the ACM. 64(6). 62–68. 14 indexed citations

11.

Wu, Baofu, Sa Wang, Liangkai Liu, et al.. (2021). Oops! It's Too Late. Your Autonomous Driving System Needs a Faster Middleware. IEEE Robotics and Automation Letters. 6(4). 7301–7308. 9 indexed citations

12.

Liu, Liu, Jie Tang, Shaoshan Liu, et al.. (2021). Π-RT: A Runtime Framework to Enable Energy-Efficient Real-Time Robotic Vision Applications on Heterogeneous Architectures. Computer. 54(4). 14–25. 9 indexed citations

13.

Liu, Shaoshan, Liyun Li, Jie Tang, Shuang Wu, & Jean‐Luc Gaudiot. (2020). Creating Autonomous Vehicle Systems. 19 indexed citations

14.

Liu, Shaoshan. (2020). Engineering Autonomous Vehicles and Robots. 16 indexed citations

15.

Li, Bai, Shaoshan Liu, Jie Tang, et al.. (2020). Autonomous Last-Mile Delivery Vehicles in Complex Traffic Environments. Computer. 53(11). 26–35. 23 indexed citations

16.

Tang, Jie, et al.. (2020). A Container Based Edge Offloading Framework for Autonomous Driving. IEEE Access. 8. 33713–33726. 32 indexed citations

17.

Liu, Shaoshan, Liangkai Liu, Jie Tang, et al.. (2019). Edge Computing for Autonomous Driving: Opportunities and Challenges. Proceedings of the IEEE. 107(8). 1697–1716. 489 indexed citations breakdown →

18.

Tang, Jie, Shaoshan Liu, Songwen Pei, et al.. (2018). Teaching Autonomous Driving Using a Modular and Integrated Approach. 361–366. 16 indexed citations

19.

Liu, Shaoshan, et al.. (2017). A Unified Cloud Platform for Autonomous Driving. Computer. 50(12). 42–49. 42 indexed citations

20.

Liu, Shaoshan, James Peng, & Jean‐Luc Gaudiot. (2017). Computer, Drive My Car!. Computer. 50(1). 8–8. 17 indexed citations

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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