Huawei Liang

2.1k total citations
125 papers, 1.6k citations indexed

About

Huawei Liang is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Aerospace Engineering. According to data from OpenAlex, Huawei Liang has authored 125 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Computer Vision and Pattern Recognition, 44 papers in Automotive Engineering and 32 papers in Aerospace Engineering. Recurrent topics in Huawei Liang's work include Autonomous Vehicle Technology and Safety (39 papers), Robotic Path Planning Algorithms (30 papers) and Robotics and Sensor-Based Localization (27 papers). Huawei Liang is often cited by papers focused on Autonomous Vehicle Technology and Safety (39 papers), Robotic Path Planning Algorithms (30 papers) and Robotics and Sensor-Based Localization (27 papers). Huawei Liang collaborates with scholars based in China, Hong Kong and United States. Huawei Liang's co-authors include Pan Zhao, Iain C. Bruce, Zhiling Wang, Biao Yu, Jia Shen, Jingye Wang, Tao Mei, Tao Mei, Daobin Wang and Max Q.‐H. Meng and has published in prestigious journals such as Journal of Applied Physics, Stroke and Brain Research.

In The Last Decade

Huawei Liang

118 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Huawei Liang China 20 497 452 283 275 216 125 1.6k
Hong Cheng China 33 195 0.4× 1.8k 4.0× 514 1.8× 166 0.6× 157 0.7× 232 3.8k
Zhi Yan China 21 199 0.4× 652 1.4× 192 0.7× 388 1.4× 115 0.5× 93 1.7k
Ram Vasudevan United States 23 493 1.0× 553 1.2× 548 1.9× 291 1.1× 126 0.6× 91 1.8k
Yusuke Tamura Japan 23 252 0.5× 505 1.1× 372 1.3× 268 1.0× 73 0.3× 166 2.1k
Rong Xiong China 24 129 0.3× 1.0k 2.3× 636 2.2× 1.0k 3.7× 313 1.4× 291 2.5k
Jiankun Wang China 27 287 0.6× 1.4k 3.0× 553 2.0× 817 3.0× 212 1.0× 168 2.4k
Jiehao Li China 21 157 0.3× 453 1.0× 484 1.7× 282 1.0× 128 0.6× 90 1.6k
Ingmar Posner United Kingdom 23 418 0.8× 1.0k 2.3× 155 0.5× 816 3.0× 268 1.2× 72 1.9k
Liangjun Zhang China 19 89 0.2× 896 2.0× 262 0.9× 362 1.3× 49 0.2× 89 1.6k
William Holderbaum United Kingdom 21 189 0.4× 126 0.3× 651 2.3× 95 0.3× 808 3.7× 156 1.6k

Countries citing papers authored by Huawei Liang

Since Specialization
Citations

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

Fields of papers citing papers by Huawei Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huawei Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Huawei Liang. A scholar is included among the top collaborators of Huawei Liang 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 Huawei Liang. Huawei Liang 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
1.
Wang, Jian, et al.. (2025). LSReg-Net: An End-to-End Registration Network for Large-Scale LiDAR Point Cloud in Autonomous Driving. IEEE Sensors Journal. 25(11). 20675–20686. 1 indexed citations
2.
Liang, Huawei, Yuanzhi Liu, Y. J. Zeng, Yangjian Cai, & Tingyin Ning. (2025). Bound States in the Continuum of Infinite Quality Factor in Finite Unit Cells. Chinese Physics Letters. 42(8). 80401–80401.
3.
Liang, Huawei, et al.. (2024). InLIOM: Tightly-Coupled Intensity LiDAR Inertial Odometry and Mapping. IEEE Transactions on Intelligent Transportation Systems. 25(9). 11821–11832. 6 indexed citations
4.
Li, Zhiyuan, et al.. (2023). MKD-Cooper: Cooperative 3D Object Detection for Autonomous Driving via Multi-Teacher Knowledge Distillation. IEEE Transactions on Intelligent Vehicles. 9(1). 1490–1500. 10 indexed citations
5.
Wang, Zhiling, et al.. (2023). A Novel Adaptive Noise Covariance Matrix Estimation and Filtering Method: Application to Multiobject Tracking. IEEE Transactions on Intelligent Vehicles. 9(1). 626–641. 14 indexed citations
6.
Cheng, Shuo, et al.. (2022). A Novel Braking Control Strategy for Hybrid Electric Buses Based on Vehicle Mass and Road Slope Estimation. Chinese Journal of Mechanical Engineering. 35(1). 9 indexed citations
7.
8.
Wang, Zhiling, et al.. (2022). Dynamic vehicle pose estimation and tracking based on motion feedback for LiDARs. Applied Intelligence. 53(2). 2362–2390. 16 indexed citations
9.
Li, Zhiyuan, et al.. (2022). A Learning-Based Model Predictive Trajectory Planning Controller for Automated Driving in Unstructured Dynamic Environments. IEEE Transactions on Vehicular Technology. 71(6). 5944–5959. 16 indexed citations
10.
Liang, Huawei, et al.. (2021). A Fast Point Cloud Ground Segmentation Approach Based on Coarse-To-Fine Markov Random Field. IEEE Transactions on Intelligent Transportation Systems. 23(7). 7841–7854. 45 indexed citations
11.
Liang, Huawei, et al.. (2021). Fast Ground Segmentation for 3D LiDAR Point Cloud Based on Jump-Convolution-Process. Remote Sensing. 13(16). 3239–3239. 37 indexed citations
12.
Liang, Huawei, et al.. (2021). A Framework for Drivable Area Detection Via Point Cloud Double Projection on Rough Roads. Journal of Intelligent & Robotic Systems. 102(2). 6 indexed citations
13.
Zhang, Hui, et al.. (2021). Driving Force Distribution and Control for Maneuverability and Stability of a 6WD Skid-Steering EUGV with Independent Drive Motors. Applied Sciences. 11(3). 961–961. 15 indexed citations
14.
Wang, Shaobo, et al.. (2020). Vehicle Trajectory Prediction by Knowledge-Driven LSTM Network in Urban Environments. Journal of Advanced Transportation. 2020. 1–20. 23 indexed citations
15.
Huang, Junjie, Zhiling Wang, Huawei Liang, et al.. (2019). Lane Marking Detection Based on Segments with Upper and Lower Structure. International Journal of Pattern Recognition and Artificial Intelligence. 34(2). 2055005–2055005. 1 indexed citations
16.
Huang, Rulin, et al.. (2017). Intent-Estimation- and Motion-Model-Based Collision Avoidance Method for Autonomous Vehicles in Urban Environments. Applied Sciences. 7(5). 457–457. 33 indexed citations
17.
Liang, Huawei, et al.. (2017). A Scenario-Adaptive Driving Behavior Prediction Approach to Urban Autonomous Driving. Applied Sciences. 7(4). 426–426. 60 indexed citations
18.
Zhang, Tao, Qing Li, Changshui Zhang, et al.. (2017). Current trends in the development of intelligent unmanned autonomous systems. Frontiers of Information Technology & Electronic Engineering. 18(1). 68–85. 101 indexed citations
19.
Chen, Jiajia, Pan Zhao, Huawei Liang, & Tao Mei. (2014). A Multiple Attribute-based Decision Making model for autonomous vehicle in urban environment. 480–485. 23 indexed citations
20.
Wang, Daobin, et al.. (2013). Lidar Scan matching EKF-SLAM using the differential model of vehicle motion. 908–912. 18 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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