Angela Dai

12.4k total citations · 4 hit papers
48 papers, 5.2k citations indexed

About

Angela Dai is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Angela Dai has authored 48 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 24 papers in Computational Mechanics and 16 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Angela Dai's work include 3D Shape Modeling and Analysis (24 papers), Advanced Vision and Imaging (17 papers) and Computer Graphics and Visualization Techniques (15 papers). Angela Dai is often cited by papers focused on 3D Shape Modeling and Analysis (24 papers), Advanced Vision and Imaging (17 papers) and Computer Graphics and Visualization Techniques (15 papers). Angela Dai collaborates with scholars based in Germany, United States and United Kingdom. Angela Dai's co-authors include Matthias Nießner, Manolis Savva, Anne Lynn S. Chang, Thomas Funkhouser, Maciej Halber, Matthias NieBner, Christian Theobalt, Michael Zollhöfer, Shahram Izadi and Shuran Song and has published in prestigious journals such as ACM Transactions on Graphics, Journal of Mechanical Design and Computer Graphics Forum.

In The Last Decade

Angela Dai

43 papers receiving 5.1k 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.

ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes

2017 2.3k citations Angela Dai, Anne Lynn S. Chang et al. profile →
Matterport3D: Learning from RGB-D Data in Indoor Environments

2017 950 citations Anne Lynn S. Chang, Angela Dai et al. profile →
BundleFusion

2017 394 citations Angela Dai, Matthias Nießner et al. profile →
3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans

2019 281 citations Ji Hou, Angela Dai et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Angela Dai Germany	20	3.7k	1.9k	1.9k	1.8k	904	48	5.2k
Manolis Savva United States	21	3.7k 1.0×	1.7k 0.9×	1.3k 0.7×	1.4k 0.8×	795 0.9×	49	5.1k
Maciej Halber United States	4	2.3k 0.6×	1.1k 0.6×	960 0.5×	1.0k 0.6×	492 0.5×	5	3.3k
Gim Hee Lee Singapore	30	2.2k 0.6×	801 0.4×	2.0k 1.1×	978 0.5×	217 0.2×	88	3.6k
Shaoshuai Shi Hong Kong	17	4.5k 1.2×	1.2k 0.6×	2.4k 1.3×	1.1k 0.6×	224 0.2×	24	5.8k
Jaesik Park South Korea	22	3.2k 0.9×	896 0.5×	1.1k 0.6×	968 0.5×	540 0.6×	58	4.3k
Chiew‐Lan Tai Hong Kong	32	2.7k 0.7×	2.0k 1.1×	771 0.4×	696 0.4×	1.4k 1.6×	89	4.5k
Daniel Maturana United States	11	1.6k 0.4×	1.3k 0.7×	645 0.3×	1.1k 0.6×	373 0.4×	13	2.9k
Richard A. Newcombe United Kingdom	8	4.5k 1.2×	655 0.3×	4.2k 2.2×	1.7k 0.9×	407 0.5×	9	5.6k
Linguang Zhang United States	6	1.6k 0.4×	1.7k 0.9×	524 0.3×	1.1k 0.6×	555 0.6×	11	2.9k
Qian-Yi Zhou United States	21	1.7k 0.5×	1.0k 0.5×	1.0k 0.5×	1.1k 0.6×	716 0.8×	24	2.8k

Countries citing papers authored by Angela Dai

Since Specialization

Citations

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

Fields of papers citing papers by Angela Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Angela Dai

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

1.

Dai, Angela, et al.. (2025). DrivAerNet: A Parametric Car Dataset for Data-Driven Aerodynamic Design and Prediction. Journal of Mechanical Design. 147(4). 2 indexed citations

2.

Gao, Dong, et al.. (2025). MeshArt: Generating Articulated Meshes with Structure-Guided Transformers. 618–627.

3.

Tulsiani, Shubham, et al.. (2025). SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation. 628–639.

4.

Li, Lei, et al.. (2025). LT3SD: Latent Trees for 3D Scene Diffusion. 650–660. 1 indexed citations

5.

Diller, Christian & Angela Dai. (2024). CG-HOI: Contact-Guided 3D Human-Object Interaction Generation. 19888–19901. 7 indexed citations

6.

Litany, Or, et al.. (2024). UnScene3D: Unsupervised 3D Instance Segmentation for Indoor Scenes. 19957–19967. 10 indexed citations

7.

Siddiqui, Yawar, et al.. (2024). MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers. 19615–19625. 19 indexed citations

8.

Khadiv, Majid, et al.. (2024). Non-Gaited Legged Locomotion With Monte-Carlo Tree Search and Supervised Learning. IEEE Robotics and Automation Letters. 10(2). 1265–1272.

9.

Dai, Angela, et al.. (2024). PaSCo: Urban 3D Panoptic Scene Completion with Uncertainty Awareness. 14554–14564. 10 indexed citations

10.

Thies, Justus, et al.. (2024). FaceTalk: Audio-Driven Motion Diffusion for Neural Parametric Head Models. 21263–21273. 17 indexed citations

11.

Dai, Angela, et al.. (2024). DrivAerNet: A Parametric Car Dataset for Data-Driven Aerodynamic Design and Graph-Based Drag Prediction. 7 indexed citations

12.

Tang, Jiapeng, et al.. (2024). DPHMs: Diffusion Parametric Head Models for Depth-Based Tracking. 1111–1122. 5 indexed citations

13.

Diller, Christian, Thomas Funkhouser, & Angela Dai. (2024). FutureHuman3D: Forecasting Complex Long-Term 3D Human Behavior from Video Observations. 19902–19914. 1 indexed citations

14.

Tang, Jiapeng, et al.. (2024). DiffuScene: Denoising Diffusion Models for Generative Indoor Scene Synthesis. 20507–20518. 18 indexed citations

15.

Erkoç, Ziya, Fangchang Ma, Qi Shan, Matthias Nießner, & Angela Dai. (2023). HyperDiffusion: Generating Implicit Neural Fields with Weight-Space Diffusion. 14254–14264. 31 indexed citations

16.

Dai, Xiaoliang, et al.. (2023). Mask3D: Pretraining 2D Vision Transformers by Learning Masked 3D Priors. 13510–13519. 16 indexed citations

17.

Zhao, Yuchen, et al.. (2021). Exploring Location-Based AR Narrative Design for Historic Site. PRESENCE Virtual and Augmented Reality. 30. 167–184. 2 indexed citations

18.

Hou, Ji, Angela Dai, & Matthias Nießner. (2019). 3D-SIC: 3D Semantic Instance Completion for RGB-D Scans. arXiv (Cornell University). 3 indexed citations

19.

Dai, Angela & Matthias NieBner. (2019). Scan2Mesh: From Unstructured Range Scans to 3D Meshes. 5569–5578. 54 indexed citations

20.

Dai, Angela, Anne Lynn S. Chang, Manolis Savva, et al.. (2017). ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes. 2432–2443. 2255 indexed citations breakdown →

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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