Tongyi Cao

640 total citations
9 papers, 359 citations indexed

About

Tongyi Cao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Environmental Engineering. According to data from OpenAlex, Tongyi Cao has authored 9 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 3 papers in Environmental Engineering. Recurrent topics in Tongyi Cao's work include Remote Sensing and LiDAR Applications (3 papers), Robotics and Sensor-Based Localization (3 papers) and Autonomous Vehicle Technology and Safety (2 papers). Tongyi Cao is often cited by papers focused on Remote Sensing and LiDAR Applications (3 papers), Robotics and Sensor-Based Localization (3 papers) and Autonomous Vehicle Technology and Safety (2 papers). Tongyi Cao collaborates with scholars based in Hong Kong, United States and China. Tongyi Cao's co-authors include Maosheng Ye, Shuangjie Xu, Qifeng Chen, Xiaoyi Zou, Haim Schweitzer, Ke Xu, Tengfei Wang, Fang Lü, Dit‐Yan Yeung and Akshay Krishnamurthy and has published in prestigious journals such as 2021 IEEE/CVF International Conference on Computer Vision (ICCV), Rare & Special e-Zone (The Hong Kong University of Science and Technology) and arXiv (Cornell University).

In The Last Decade

Tongyi Cao

9 papers receiving 349 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tongyi Cao Hong Kong	6	234	129	99	68	65	9	359
Zhibin Quan China	10	120 0.5×	90 0.7×	192 1.9×	75 1.1×	21 0.3×	25	377
Aljoša Ošep Germany	9	300 1.3×	95 0.7×	152 1.5×	28 0.4×	64 1.0×	21	393
Augusto Luis Ballardini Italy	9	110 0.5×	65 0.5×	89 0.9×	16 0.2×	50 0.8×	18	254
Srikanth Malla United States	6	179 0.8×	148 1.1×	57 0.6×	11 0.2×	35 0.5×	7	280
Zhengxu Yu China	8	227 1.0×	46 0.4×	90 0.9×	23 0.3×	26 0.4×	10	295
Jianhui Liu China	6	300 1.3×	37 0.3×	134 1.4×	71 1.0×	84 1.3×	18	424
Anshul Paigwar France	8	118 0.5×	62 0.5×	86 0.9×	22 0.3×	84 1.3×	15	252
Benjamin Caine Germany	2	157 0.7×	213 1.7×	46 0.5×	15 0.2×	18 0.3×	2	347
Inwook Shim South Korea	10	187 0.8×	56 0.4×	115 1.2×	23 0.3×	46 0.7×	29	301
Xuanyao Chen China	4	198 0.8×	60 0.5×	113 1.1×	14 0.2×	20 0.3×	4	288

Countries citing papers authored by Tongyi Cao

Since Specialization

Citations

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

Fields of papers citing papers by Tongyi Cao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tongyi Cao

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

All Works

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9 of 9 papers shown

Ye, Maosheng, et al.. (2023). Bootstrap Motion Forecasting With Self-Consistent Constraints. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 8470–8480. 10 indexed citations

Xu, Shuangjie, et al.. (2023). SVQNet: Sparse Voxel-Adjacent Query Network for 4D Spatio-Temporal LiDAR Semantic Segmentation. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 8535–8544. 3 indexed citations

Xu, Shuangjie, et al.. (2022). Sparse Cross-Scale Attention Network for Efficient LiDAR Panoptic Segmentation. Proceedings of the AAAI Conference on Artificial Intelligence. 36(3). 2920–2928. 25 indexed citations

Ye, Maosheng, Shuangjie Xu, Tongyi Cao, & Qifeng Chen. (2021). DRINet: A Dual-Representation Iterative Learning Network for Point Cloud Segmentation. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 7427–7436. 35 indexed citations

Ye, Maosheng, Tongyi Cao, & Qifeng Chen. (2021). TPCN: Temporal Point Cloud Networks for Motion Forecasting. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 11313–11322. 116 indexed citations

Cao, Tongyi & Akshay Krishnamurthy. (2020). Provably adaptive reinforcement learning in metric spaces. arXiv (Cornell University). 1 indexed citations

Ye, Maosheng, Shuangjie Xu, & Tongyi Cao. (2020). HVNet: Hybrid Voxel Network for LiDAR Based 3D Object Detection. 1628–1637. 155 indexed citations

Cao, Tongyi & Akshay Krishnamurthy. (2017). Disagreement-based combinatorial pure exploration: Efficient algorithms and an analysis with localization. arXiv (Cornell University). 1 indexed citations

Xu, Ke, et al.. (2017). Cleaning the Null Space: A Privacy Mechanism for Predictors. Proceedings of the AAAI Conference on Artificial Intelligence. 31(1). 13 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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