Liangkai Liu

2.0k total citations · 1 hit paper
29 papers, 1.3k citations indexed

About

Liangkai Liu is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Liangkai Liu has authored 29 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 14 papers in Automotive Engineering and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Liangkai Liu's work include Autonomous Vehicle Technology and Safety (13 papers), Advanced Neural Network Applications (9 papers) and IoT and Edge/Fog Computing (8 papers). Liangkai Liu is often cited by papers focused on Autonomous Vehicle Technology and Safety (13 papers), Advanced Neural Network Applications (9 papers) and IoT and Edge/Fog Computing (8 papers). Liangkai Liu collaborates with scholars based in United States, China and United Kingdom. Liangkai Liu's co-authors include Weisong Shi, Shaoshan Liu, Jie Tang, Yu Bo, Yifan Wang, Sidi Lu, Qingyang Zhang, Xingzhou Zhang, Baofu Wu and Yongtao Yao and has published in prestigious journals such as Proceedings of the IEEE, IEEE Access and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Liangkai Liu

27 papers receiving 1.3k 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

Liangkai Liu

CNC

EEE

CVPR

AE

AI

Shaoshan Liu United States

Yu Bo China

Qingyang Zhang China

Hirozumi Yamaguchi Japan

Jiadai Wang China

Gunasekaran Raja India

Nabil Benamar Morocco

Xuting Duan China

Yair Wiseman Israel

‪Mahmood A. Al-Shareeda‬‏ Malaysia

Shaoshan Liu United States

Liangkai Liu

603 ×1.1

CNC

447 ×1.0

EEE

516 ×1.3

CVPR

302 ×1.0

AE

219 ×0.9

AI

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

Countries citing papers authored by Liangkai Liu

Since Specialization

Citations

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

Fields of papers citing papers by Liangkai Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liangkai Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Liangkai Liu. A scholar is included among the top collaborators of Liangkai 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 Liangkai Liu. Liangkai 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.

Gong, Yifan, Liangkai Liu, Mengquan Li, et al.. (2024). AyE-Edge: Automated Deployment Space Search Empowering Accuracy yet Efficient Real-Time Object Detection on the Edge. 1–9.

2.

Gong, Yifan, Zheng Zhan, Pu Zhao, et al.. (2024). LOTUS: learning-based online thermal and latency variation management for two-stage detectors on edge devices. 1–6. 1 indexed citations

3.

Liu, Liangkai, Yanzhi Wang, & Weisong Shi. (2024). CPT: A Configurable Predictability Testbed for DNN Inference in AVs. Tsinghua Science & Technology. 30(1). 87–99.

4.

Liu, Liangkai, Jin-Kyu Lee, & Kang G. Shin. (2024). RT-BEV: Enhancing Real-Time BEV Perception for Autonomous Vehicles. 267–279. 2 indexed citations

5.

Liu, Liangkai, et al.. (2023). Fuel Rate Prediction for Heavy-Duty Trucks. IEEE Transactions on Intelligent Transportation Systems. 24(8). 8222–8235. 7 indexed citations

6.

Coronado, Estefanía, Roberto Riggio, Liangkai Liu, et al.. (2023). INGR Roadmap Edge Services and Automation Chapter. 1–68. 1 indexed citations

7.

Liu, Liangkai, et al.. (2023). An Open Approach to Energy-Efficient Autonomous Mobile Robots. 11569–11575. 5 indexed citations

8.

Coronado, Estefanía, et al.. (2022). INGR Roadmap Edge Services and Automation Chapter. 1–49. 1 indexed citations

9.

Liu, Liangkai, Zheng Dong, Yanzhi Wang, & Weisong Shi. (2022). Prophet: Realizing a Predictable Real-time Perception Pipeline for Autonomous Vehicles. 305–317. 17 indexed citations

10.

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

11.

Liu, Liangkai, et al.. (2021). A pulse‐and‐glide ‐driven adaptive cruise control system for electric vehicle. International Transactions on Electrical Energy Systems. 31(11). 10 indexed citations

12.

Tang, Jie, Shaoshan Liu, Liangkai Liu, Yu Bo, & Weisong Shi. (2020). LoPECS: A Low-Power Edge Computing System for Real-Time Autonomous Driving Services. IEEE Access. 8. 30467–30479. 48 indexed citations

13.

Liu, Liangkai, Baofu Wu, & Weisong Shi. (2020). A Comparison of Communication Mechanisms in Vehicular Edge Computing.. 8 indexed citations

14.

Liu, Liangkai, et al.. (2020). Equinox: A Road-Side Edge Computing Experimental Platform for CAVs. 41–42. 17 indexed citations

15.

Jiang, Congfeng, Honghao Gao, Weisong Shi, et al.. (2020). Energy aware edge computing: A survey. Computer Communications. 151. 556–580. 144 indexed citations

16.

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 →

17.

Liu, Liangkai, et al.. (2019). E2M. 59–73. 14 indexed citations

18.

Zhang, Xingzhou, Yifan Wang, Sidi Lu, et al.. (2019). OpenEI: An Open Framework for Edge Intelligence. 1840–1851. 86 indexed citations

19.

Liu, Liangkai, et al.. (2019). AutoVAPS. 41–47. 10 indexed citations

20.

Liu, Liangkai, Xingzhou Zhang, Mu Qiao, & Weisong Shi. (2018). SafeShareRide: Edge-Based Attack Detection in Ridesharing Services. 20 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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