Jiadai Sun

796 total citations
15 papers, 398 citations indexed

About

Jiadai Sun is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Aerospace Engineering. According to data from OpenAlex, Jiadai Sun has authored 15 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 8 papers in Computational Mechanics and 8 papers in Aerospace Engineering. Recurrent topics in Jiadai Sun's work include 3D Surveying and Cultural Heritage (8 papers), Robotics and Sensor-Based Localization (8 papers) and 3D Shape Modeling and Analysis (8 papers). Jiadai Sun is often cited by papers focused on 3D Surveying and Cultural Heritage (8 papers), Robotics and Sensor-Based Localization (8 papers) and 3D Shape Modeling and Analysis (8 papers). Jiadai Sun collaborates with scholars based in China, Australia and Hong Kong. Jiadai Sun's co-authors include Yuchao Dai, Zhiyuan Zhang, Mingyi He, Xibin Song, Xieyuanli Chen, Jintao Xu, Bin Fan, Rui Ai, Dingfu Zhou and Liangjun Zhang and has published in prestigious journals such as Pattern Recognition, IEEE Transactions on Intelligent Transportation Systems and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Jiadai Sun

15 papers receiving 381 citations

Peers

Jiadai Sun

CVPR

GEOLO

Tolga Birdal United States

Jiageng Mao Hong Kong

Jianhui Liu China

Jiantao Gao China

Shi-Sheng Huang China

Chuanzhe Suo Hong Kong

Lingni Ma Netherlands

Jürgen Gall Germany

Jian Dou China

Truc Le United States

Tolga Birdal United States

Jiadai Sun

284 ×1.4

CVPR

176 ×1.0

GEOLO

220 ×1.4

206 ×1.4

81 ×0.8

Citations per year, relative to Jiadai Sun Jiadai Sun (= 1×) peers Tolga Birdal

Countries citing papers authored by Jiadai Sun

Since Specialization

Citations

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

Fields of papers citing papers by Jiadai Sun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiadai Sun

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

All Works

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15 of 15 papers shown

Chen, Xieyuanli, Yufei Liu, Jiadai Sun, et al.. (2024). Joint Scene Flow Estimation and Moving Object Segmentation on Rotational LiDAR Data. IEEE Transactions on Intelligent Transportation Systems. 25(11). 17733–17743. 25 indexed citations

Sun, Jiadai, Yuxin Mao, Yuchao Dai, Yiran Zhong, & Jianyuan Wang. (2023). MUNet: Motion uncertainty-aware semi-supervised video object segmentation. Pattern Recognition. 138. 109399–109399. 23 indexed citations

Wang, Chen, Jiadai Sun, Lina Liu, et al.. (2023). Digging into Depth Priors for Outdoor Neural Radiance Fields. 1221–1230. 10 indexed citations

Wu, Chenming, Jiadai Sun, Zhelun Shen, & Liangjun Zhang. (2023). MapNeRF: Incorporating Map Priors into Neural Radiance Fields for Driving View Simulation. 7082–7088. 12 indexed citations

Guo, Xiang, Jiadai Sun, Yuchao Dai, et al.. (2023). Forward Flow for Novel View Synthesis of Dynamic Scenes. 15976–15987. 18 indexed citations

Liu, Lina, Xibin Song, Jiadai Sun, et al.. (2023). MFF-Net: Towards Efficient Monocular Depth Completion With Multi-Modal Feature Fusion. IEEE Robotics and Automation Letters. 8(2). 920–927. 24 indexed citations

Zhang, Zhiyuan, Jiadai Sun, Yuchao Dai, Bin Fan, & Mingyi He. (2022). VRNet: Learning the Rectified Virtual Corresponding Points for 3D Point Cloud Registration. IEEE Transactions on Circuits and Systems for Video Technology. 32(8). 4997–5010. 41 indexed citations

Wang, Yufei, et al.. (2022). CU-Net: LiDAR Depth-Only Completion With Coupled U-Net. IEEE Robotics and Automation Letters. 7(4). 11476–11483. 7 indexed citations

Zhang, Zhiyuan, Yuchao Dai, Bin Fan, Jiadai Sun, & Mingyi He. (2022). Learning a Task-Specific Descriptor for Robust Matching of 3D Point Clouds. IEEE Transactions on Circuits and Systems for Video Technology. 32(12). 8462–8475. 12 indexed citations

10.

Zhang, Zhiyuan, Jiadai Sun, Yuchao Dai, Bin Fan, & Qi Liu. (2022). Searching Dense Point Correspondences via Permutation Matrix Learning. IEEE Signal Processing Letters. 29. 1192–1196. 2 indexed citations

11.

Sun, Jiadai, et al.. (2022). Efficient Spatial-Temporal Information Fusion for LiDAR-Based 3D Moving Object Segmentation. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 11456–11463. 56 indexed citations

12.

Zhang, Zhiyuan, Jiadai Sun, Yuchao Dai, et al.. (2022). Self-supervised rigid transformation equivariance for accurate 3D point cloud registration. Pattern Recognition. 130. 108784–108784. 24 indexed citations

13.

Zhang, Zhiyuan, Jiadai Sun, Yuchao Dai, et al.. (2022). End-to-End Learning the Partial Permutation Matrix for Robust 3D Point Cloud Registration. Proceedings of the AAAI Conference on Artificial Intelligence. 36(3). 3399–3407. 25 indexed citations

14.

Zhang, Zhiyuan, Jiadai Sun, Yuchao Dai, et al.. (2021). A Representation Separation Perspective to Correspondence-Free Unsupervised 3-D Point Cloud Registration. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 8 indexed citations

15.

Zhang, Zhiyuan, Yuchao Dai, & Jiadai Sun. (2020). Deep learning based point cloud registration: an overview. Virtual Reality & Intelligent Hardware. 2(3). 222–246. 111 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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