Lei Tai

2.8k total citations · 1 hit paper
20 papers, 1.4k citations indexed

About

Lei Tai is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Lei Tai has authored 20 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 7 papers in Aerospace Engineering. Recurrent topics in Lei Tai's work include Robotics and Sensor-Based Localization (7 papers), Advanced Neural Network Applications (5 papers) and Reinforcement Learning in Robotics (5 papers). Lei Tai is often cited by papers focused on Robotics and Sensor-Based Localization (7 papers), Advanced Neural Network Applications (5 papers) and Reinforcement Learning in Robotics (5 papers). Lei Tai collaborates with scholars based in Hong Kong, China and Germany. Lei Tai's co-authors include Ming Liu, Giuseppe Paolo, Shaohua Li, Mingyang Li, Kai Sun, Yongjian Chen, Wolfram Burgard, Jingwei Zhang, Yun Peng and Yuan Wang and has published in prestigious journals such as The International Journal of Advanced Manufacturing Technology, Journal of Materials Chemistry B and IEEE Robotics and Automation Letters.

In The Last Decade

Lei Tai

20 papers receiving 1.4k 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.

Virtual-to-real deep reinforcement learning: Continuous control of mobile robots for mapless navigation

2017 517 citations Lei Tai, Giuseppe Paolo et al. Rare & Special e-Zone (The Hong Kong University of Science and Technology) profile →

Peers

Lei Tai

CVPR

CSE

Hanna Kurniawati Australia

Pinxin Long China

Rahul Kala India

Christoph Sprunk Germany

Zsolt Kira United States

Michael Everett United States

Erion Plaku United States

Anthony Stentz United States

Xuesu Xiao United States

A. Jagadeesh India

Hanna Kurniawati Australia

Lei Tai

714 ×0.7

CVPR

504 ×0.9

426 ×0.9

315 ×1.3

CSE

114 ×0.5

Citations per year, relative to Lei Tai Lei Tai (= 1×) peers Hanna Kurniawati

Countries citing papers authored by Lei Tai

Since Specialization

Citations

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

Fields of papers citing papers by Lei Tai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lei Tai

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

Tai, Lei, et al.. (2024). Microfluidic-based cardiovascular systems for advanced study of atherosclerosis. Journal of Materials Chemistry B. 12(30). 7225–7245. 3 indexed citations

Fan, Wei, et al.. (2024). Research on Temperature-Resistant Polymer-Based Nano-SiO2 Composite Sealing Agent. Journal of Inorganic and Organometallic Polymers and Materials. 34(10). 4729–4741. 2 indexed citations

Chen, Yongjian, Lei Tai, Kai Sun, & Mingyang Li. (2020). MonoPair: Monocular 3D Object Detection Using Pairwise Spatial Relationships. 12090–12099. 196 indexed citations

Jiao, Jianhao, Yun Peng, Lei Tai, & Ming Liu. (2020). MLOD: Awareness of Extrinsic Perturbation in Multi-LiDAR 3D Object Detection for Autonomous Driving. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 10556–10563. 10 indexed citations

Peng, Yun, Lei Tai, Yuan Wang, Chengju Liu, & Ming Liu. (2019). Focal Loss in 3D Object Detection. IEEE Robotics and Automation Letters. 4(2). 1263–1270. 49 indexed citations

Zhang, Jingwei, Lei Tai, Yun Peng, et al.. (2019). VR-Goggles for Robots: Real-to-Sim Domain Adaptation for Visual Control. IEEE Robotics and Automation Letters. 4(2). 1148–1155. 57 indexed citations

Tai, Lei, Yun Peng, Yuying Chen, et al.. (2019). Visual-based Autonomous Driving Deployment from a Stochastic and Uncertainty-aware Perspective. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 2622–2628. 16 indexed citations

Liu, Congcong, et al.. (2019). A gaze model improves autonomous driving. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–5. 16 indexed citations

Tai, Lei, Jingwei Zhang, Ming Liu, & Wolfram Burgard. (2018). Socially compliant navigation through raw depth inputs with generative adversarial imitation learning. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 117 indexed citations

10.

Zhang, Jingwei, Lei Tai, Joschka Boedecker, Wolfram Burgard, & Ming Liu. (2017). Neural SLAM. arXiv (Cornell University). 7 indexed citations

11.

Tai, Lei, Giuseppe Paolo, & Ming Liu. (2017). Virtual-to-real deep reinforcement learning: Continuous control of mobile robots for mapless navigation. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 31–36. 517 indexed citations breakdown →

12.

Tai, Lei, Haoyang Ye, Qiong Ye, & Ming Liu. (2017). PCA-aided fully convolutional networks for semantic segmentation of multi-channel fMRI. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 49. 124–130. 5 indexed citations

13.

Cai, Chuang, Liqun Li, & Lei Tai. (2017). Narrow-gap laser-MIG hybrid welding of thick-section steel with different shielding gas nozzles. The International Journal of Advanced Manufacturing Technology. 92(1-4). 909–916. 11 indexed citations

14.

Tai, Lei, Shaohua Li, & Ming Liu. (2017). Autonomous exploration of mobile robots through deep neural networks. International Journal of Advanced Robotic Systems. 14(4). 4038956661–4038956661. 26 indexed citations

15.

Tai, Lei & Ming Liu. (2016). Deep-learning in Mobile Robotics - from Perception to Control Systems: A Survey on Why and Why not.. arXiv (Cornell University). 31 indexed citations

16.

Tai, Lei & Ming Liu. (2016). Mobile robots exploration through cnn-based reinforcement learning. PubMed. 3(1). 24–24. 90 indexed citations

17.

Tai, Lei & Ming Liu. (2016). A robot exploration strategy based on Q-learning network. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 57–62. 90 indexed citations

18.

Tai, Lei, Shaohua Li, & Ming Liu. (2016). A deep-network solution towards model-less obstacle avoidance. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 2759–2764. 152 indexed citations

19.

Li, Xin, et al.. (2014). Seismic Analysis of L-Shaped Irregular Plane Frame Structure with Viscous Dampers. Applied Mechanics and Materials. 501-504. 1547–1550. 1 indexed citations

20.

Tai, Lei. (2009). Predicting financial distress of listed corporations based on fuzzy support vector machine. Guanli kexue xuebao. 3 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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