Yan Di

519 total citations
14 papers, 267 citations indexed

About

Yan Di is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Aerospace Engineering. According to data from OpenAlex, Yan Di has authored 14 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 7 papers in Control and Systems Engineering and 7 papers in Aerospace Engineering. Recurrent topics in Yan Di's work include Robot Manipulation and Learning (7 papers), Robotics and Sensor-Based Localization (7 papers) and Human Pose and Action Recognition (5 papers). Yan Di is often cited by papers focused on Robot Manipulation and Learning (7 papers), Robotics and Sensor-Based Localization (7 papers) and Human Pose and Action Recognition (5 papers). Yan Di collaborates with scholars based in Germany, China and United States. Yan Di's co-authors include Fabian Manhardt, Federico Tombari, Xiangyang Ji, Nassir Navab, Gu Wang, Benjamin Busam, Guangyao Zhai, Jason Rambach, Didier Stricker and Dianye Huang and has published in prestigious journals such as IEEE Transactions on Instrumentation and Measurement, IEEE Robotics and Automation Letters and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Yan Di

11 papers receiving 262 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yan Di Germany	7	203	179	122	36	33	14	267
Thomas Mörwald Austria	9	192 0.9×	93 0.5×	119 1.0×	32 0.9×	13 0.4×	14	288
Aaron Chan United States	3	179 0.9×	117 0.7×	155 1.3×	25 0.7×	22 0.7×	3	255
Jiehong Lin China	5	103 0.5×	87 0.5×	55 0.5×	28 0.8×	19 0.6×	7	197
Guillermo Garcia-Hernando United Kingdom	7	154 0.8×	95 0.5×	61 0.5×	30 0.8×	49 1.5×	12	218
Stephen James United Kingdom	9	188 0.9×	210 1.2×	95 0.8×	35 1.0×	20 0.6×	13	358
Andreas Richtsfeld Austria	6	208 1.0×	58 0.3×	151 1.2×	14 0.4×	13 0.4×	12	263
Yusuke Yoshiyasu Japan	10	177 0.9×	57 0.3×	67 0.5×	22 0.6×	7 0.2×	37	249
Thang To	2	89 0.4×	94 0.5×	64 0.5×	20 0.6×	19 0.6×	3	136
Christopher Xie United States	6	147 0.7×	60 0.3×	47 0.4×	11 0.3×	8 0.2×	7	187
Jordi Sànchez-Riera Taiwan	8	210 1.0×	25 0.1×	49 0.4×	31 0.9×	72 2.2×	12	255

Countries citing papers authored by Yan Di

Since Specialization

Citations

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

Fields of papers citing papers by Yan Di

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Di

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Di. A scholar is included among the top collaborators of Yan Di 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 Yan Di. Yan Di 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:

14 of 14 papers shown

Di, Yan, et al.. (2025). SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation. 11789–11798.

Li, Yanyan, et al.. (2025). SE(3)-Equivariance Learning for Category-Level Object Pose Estimation. IEEE Transactions on Instrumentation and Measurement. 74. 1–13.

Di, Yan, Chaowei Wang, Guangyao Zhai, et al.. (2024). ShapeMatcher: Self-Supervised Joint Shape Canonicalization, Segmentation, Retrieval and Deformation. 21017–21028. 2 indexed citations

Di, Yan, Gu Wang, Fabian Manhardt, et al.. (2024). MOHO: Learning Single-View Hand-Held Object Reconstruction with Multi-View Occlusion-Aware Supervision. 9992–10002. 4 indexed citations

Zhai, Guangyao, Dianye Huang, Yan Di, et al.. (2024). SG-Bot: Object Rearrangement via Coarse-to-Fine Robotic Imagination on Scene Graphs. 4303–4310. 9 indexed citations

Di, Yan, Martin Sundermeyer, Fabian Manhardt, et al.. (2024). HiPose: Hierarchical Binary Surface Encoding and Correspondence Pruning for RGB-D 6DoF Object Pose Estimation. 10148–10158. 5 indexed citations

Manhardt, Fabian, et al.. (2023). Self-Supervised Category-Level 6D Object Pose Estimation With Optical Flow Consistency. IEEE Robotics and Automation Letters. 8(5). 2510–2517. 6 indexed citations

Di, Yan, Fabian Manhardt, Jason Rambach, et al.. (2023). U-RED: Unsupervised 3D Shape Retrieval and Deformation for Partial Point Clouds. 8850–8861. 4 indexed citations

Di, Yan, et al.. (2023). CommonScenes: Generating Commonsense 3D Indoor Scenes with Scene Graph Diffusion. 30026–30038.

10.

Di, Yan, Guangyao Zhai, Fabian Manhardt, et al.. (2023). OPA-3D: Occlusion-Aware Pixel-Wise Aggregation for Monocular 3D Object Detection. IEEE Robotics and Automation Letters. 8(3). 1327–1334. 21 indexed citations

11.

Zhai, Guangyao, Dianye Huang, Shun‐Cheng Wu, et al.. (2023). MonoGraspNet: 6-DoF Grasping with a Single RGB Image. 1708–1714. 22 indexed citations

12.

Di, Yan, et al.. (2022). SSP-Pose: Symmetry-Aware Shape Prior Deformation for Direct Category-Level Object Pose Estimation. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 7452–7459. 20 indexed citations

13.

Di, Yan, et al.. (2022). GPV-Pose: Category-level Object Pose Estimation via Geometry-guided Point-wise Voting. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 6771–6781. 77 indexed citations

14.

Di, Yan, Fabian Manhardt, Gu Wang, et al.. (2021). SO-Pose: Exploiting Self-Occlusion for Direct 6D Pose Estimation. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 12376–12385. 97 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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