Peide Cai

730 total citations
12 papers, 326 citations indexed

About

Peide Cai is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Peide Cai has authored 12 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Automotive Engineering, 8 papers in Computer Vision and Pattern Recognition and 3 papers in Artificial Intelligence. Recurrent topics in Peide Cai's work include Autonomous Vehicle Technology and Safety (10 papers), Advanced Neural Network Applications (5 papers) and Robotic Path Planning Algorithms (3 papers). Peide Cai is often cited by papers focused on Autonomous Vehicle Technology and Safety (10 papers), Advanced Neural Network Applications (5 papers) and Robotic Path Planning Algorithms (3 papers). Peide Cai collaborates with scholars based in Hong Kong, China and United States. Peide Cai's co-authors include Ming Liu, Hengli Wang, Yuxiang Sun, Rui Fan, Huaiyang Huang, Lujia Wang, Yuxuan Liu, Yuying Chen, Ming Liu and Lei Qiao and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE/ASME Transactions on Mechatronics and IEEE Robotics and Automation Letters.

In The Last Decade

Peide Cai

12 papers receiving 316 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peide Cai Hong Kong	9	195	148	65	57	45	12	326
Mirko Meuter Germany	10	248 1.3×	194 1.3×	59 0.9×	23 0.4×	53 1.2×	26	350
Jinze Song China	10	174 0.9×	136 0.9×	25 0.4×	48 0.8×	81 1.8×	30	318
Yanhua Jiang China	6	238 1.2×	211 1.4×	35 0.5×	32 0.6×	35 0.8×	16	331
A. Joos Germany	5	184 0.9×	220 1.5×	39 0.6×	67 1.2×	64 1.4×	6	378
R. Omar Chavéz-García Switzerland	5	194 1.0×	100 0.7×	85 1.3×	46 0.8×	133 3.0×	9	352
Chunmian Lin China	10	201 1.0×	65 0.4×	45 0.7×	17 0.3×	55 1.2×	14	344
Daniel Goehring Germany	10	154 0.8×	108 0.7×	36 0.6×	79 1.4×	93 2.1×	28	310
My-Ha Le Vietnam	9	235 1.2×	99 0.7×	43 0.7×	29 0.5×	59 1.3×	41	338
Haibao Yu China	5	253 1.3×	138 0.9×	39 0.6×	40 0.7×	86 1.9×	11	395
Neeraj K. Kanhere United States	11	335 1.7×	155 1.0×	46 0.7×	28 0.5×	25 0.6×	18	452

Countries citing papers authored by Peide Cai

Since Specialization

Citations

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

Fields of papers citing papers by Peide Cai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peide Cai

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

All Works

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12 of 12 papers shown

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

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

Jiao, Jianhao, et al.. (2022). R-PCC: A Baseline for Range Image-based Point Cloud Compression. 2022 International Conference on Robotics and Automation (ICRA). 10055–10061. 17 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

Cai, Peide, et al.. (2021). DiTNet: End-to-End 3D Object Detection and Track ID Assignment in Spatio-Temporal World. IEEE Robotics and Automation Letters. 6(2). 3397–3404. 20 indexed citations

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

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

10.

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

11.

Sun, Yuxiang, Weixun Zuo, Huaiyang Huang, Peide Cai, & Ming Liu. (2020). PointMoSeg: Sparse Tensor-Based End-to-End Moving-Obstacle Segmentation in 3-D Lidar Point Clouds for Autonomous Driving. IEEE Robotics and Automation Letters. 6(2). 510–517. 24 indexed citations

12.

Cai, Peide, Yuxiang Sun, Yuying Chen, & Ming Liu. (2019). Vision-Based Trajectory Planning via Imitation Learning for Autonomous Vehicles. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 2736–2742. 36 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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