Hengli Wang

1.2k total citations
23 papers, 570 citations indexed

About

Hengli Wang is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Control and Systems Engineering. According to data from OpenAlex, Hengli Wang has authored 23 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 8 papers in Automotive Engineering and 6 papers in Control and Systems Engineering. Recurrent topics in Hengli Wang's work include Autonomous Vehicle Technology and Safety (8 papers), Advanced Neural Network Applications (5 papers) and Advanced Vision and Imaging (5 papers). Hengli Wang is often cited by papers focused on Autonomous Vehicle Technology and Safety (8 papers), Advanced Neural Network Applications (5 papers) and Advanced Vision and Imaging (5 papers). Hengli Wang collaborates with scholars based in Hong Kong, China and United States. Hengli Wang's co-authors include Ming Liu, Yuxiang Sun, Peide Cai, Rui Fan, Weixun Zuo, Yun Peng, Huaiyang Huang, Yuxuan Liu, Jin Wu and Lujia Wang and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Cybernetics and IEEE Transactions on Instrumentation and Measurement.

In The Last Decade

Hengli Wang

23 papers receiving 562 citations

Peers

Hengli Wang

CVPR

CSE

Marius Zöllner Germany

Deepak Kumar Dewangan India

Miguel Ángel García-Garrido Spain

Yifeng Shi China

Bogdan Stanciulescu France

Mauro Bellone Estonia

Zhong Yang China

Yeqiang Qian China

Norbert Buch United Kingdom

Zhaozheng Hu China

Marius Zöllner Germany

Hengli Wang

378 ×1.1

CVPR

185 ×1.3

116 ×1.2

44 ×0.6

CSE

73 ×1.1

CSE

Citations per year, relative to Hengli Wang Hengli Wang (= 1×) peers Marius Zöllner

Countries citing papers authored by Hengli Wang

Since Specialization

Citations

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

Fields of papers citing papers by Hengli Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hengli Wang

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

All Works

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20 of 20 papers shown

Wang, Hengli, et al.. (2023). Robust Model Predictive Control for Two-DOF Flexible-Joint Manipulator System. Mathematics. 11(16). 3593–3593. 2 indexed citations

Cai, Peide, Hengli Wang, Yuxiang Sun, & Ming Liu. (2022). DQ-GAT: Towards Safe and Efficient Autonomous Driving With Deep Q-Learning and Graph Attention Networks. IEEE Transactions on Intelligent Transportation Systems. 23(11). 21102–21112. 36 indexed citations

Guo, Yanning, et al.. (2022). MAFNet: Segmentation of Road Potholes With Multimodal Attention Fusion Network for Autonomous Vehicles. IEEE Transactions on Instrumentation and Measurement. 71. 1–12. 17 indexed citations

Wang, Hengli, Rui Fan, Peide Cai, Ming Liu, & Lujia Wang. (2022). UnDAF: A General Unsupervised Domain Adaptation Framework for Disparity or Optical Flow Estimation. 2022 International Conference on Robotics and Automation (ICRA). 33. 1–7. 4 indexed citations

Wang, Hengli, Peide Cai, Yuxiang Sun, Lujia Wang, & Ming Liu. (2021). Learning Interpretable End-to-End Vision-Based Motion Planning for Autonomous Driving with Optical Flow Distillation. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 13731–13737. 30 indexed citations

Cai, Peide, Hengli Wang, Huaiyang Huang, Yuxuan Liu, & Ming Liu. (2021). Vision-Based Autonomous Car Racing Using Deep Imitative Reinforcement Learning. IEEE Robotics and Automation Letters. 6(4). 7262–7269. 56 indexed citations

Fan, Rui, Hengli Wang, Peide Cai, et al.. (2021). Learning Collision-Free Space Detection From Stereo Images: Homography Matrix Brings Better Data Augmentation. IEEE/ASME Transactions on Mechatronics. 27(1). 225–233. 46 indexed citations

Wang, Hengli, Rui Fan, Yuxiang Sun, & Ming Liu. (2021). Dynamic Fusion Module Evolves Drivable Area and Road Anomaly Detection: A Benchmark and Algorithms. IEEE Transactions on Cybernetics. 52(10). 10750–10760. 75 indexed citations

Fan, Rui, Hengli Wang, Huaiyang Huang, et al.. (2021). Three-Filters-to-Normal: An Accurate and Ultrafast Surface Normal Estimator. IEEE Robotics and Automation Letters. 6(3). 5405–5412. 25 indexed citations

10.

Wang, Hengli, Peide Cai, Rui Fan, Yuxiang Sun, & Ming Liu. (2021). End-to-End Interactive Prediction and Planning with Optical Flow Distillation for Autonomous Driving. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 2229–2238. 8 indexed citations

11.

Cai, Peide, Hengli Wang, Yuxiang Sun, & Ming Liu. (2021). DiGNet: Learning Scalable Self-Driving Policies for Generic Traffic Scenarios with Graph Neural Networks. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 8979–8984. 8 indexed citations

12.

Wang, Hengli, Rui Fan, & Ming Liu. (2021). SCV-Stereo: Learning Stereo Matching From a Sparse Cost Volume. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 3203–3207. 6 indexed citations

13.

Wang, Hengli, Rui Fan, Peide Cai, & Ming Liu. (2021). SNE-RoadSeg+: Rethinking Depth-Normal Translation and Deep Supervision for Freespace Detection. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 41 indexed citations

14.

Sun, Yuxiang, Weixun Zuo, Yun Peng, Hengli Wang, & Ming Liu. (2020). FuseSeg: Semantic Segmentation of Urban Scenes Based on RGB and Thermal Data Fusion. IEEE Transactions on Automation Science and Engineering. 18(3). 1000–1011. 174 indexed citations

15.

Wang, Hengli, Yanlei Shang, & Xiuquan Qiao. (2020). The Integrated Organization of Data and Knowledge Based on Distributed Hash. 8 3. 243–250. 1 indexed citations

16.

Tian, Qinghua, Hengli Wang, Yuntao Xin, et al.. (2016). Effect of selected parameters on stibnite concentrates leaching by ozone. Hydrometallurgy. 165. 295–299. 13 indexed citations

17.

Xiao, Fei, et al.. (2014). Parallel connected three phase inverters based on modular design and distributed control. 72–77. 1 indexed citations

18.

Wei, Chen, et al.. (2013). Study on the topology of three-phase inverter systems based on parallel-connected bridges. 32. 3678–3682. 1 indexed citations

19.

Yuan, Lei, et al.. (2012). A novel reaching law approach of quasi-sliding-mode control for uncertain discrete-time systems. Journal of Central South University. 19(9). 2514–2519. 11 indexed citations

20.

Wang, Hengli. (2004). Research on Hyperspectral Imaging Algorithm for Targets Detection. 1 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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