Tianchang Shen

777 total citations · 1 hit paper
7 papers, 265 citations indexed

About

Tianchang Shen is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Tianchang Shen has authored 7 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Graphics and Computer-Aided Design, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Computational Mechanics. Recurrent topics in Tianchang Shen's work include Computer Graphics and Visualization Techniques (6 papers), Advanced Vision and Imaging (4 papers) and 3D Shape Modeling and Analysis (4 papers). Tianchang Shen is often cited by papers focused on Computer Graphics and Visualization Techniques (6 papers), Advanced Vision and Imaging (4 papers) and 3D Shape Modeling and Analysis (4 papers). Tianchang Shen collaborates with scholars based in Canada, United States and France. Tianchang Shen's co-authors include Sanja Fidler, Wenzheng Chen, Jon Hasselgren, Jacob Munkberg, Jun Gao, Thomas Müller, Alex Evans, Žan Gojčič, Nicholas Sharp and Zian Wang and has published in prestigious journals such as ACM Transactions on Graphics, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and arXiv (Cornell University).

In The Last Decade

Tianchang Shen

5 papers receiving 258 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.

Extracting Triangular 3D Models, Materials, and Lighting From Images

2022 184 citations Jacob Munkberg, Wenzheng Chen et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tianchang Shen Canada	4	197	180	145	26	17	7	265
Alex Evans United Kingdom	5	173 0.9×	135 0.8×	109 0.8×	25 1.0×	21 1.2×	7	234
Yuewen Ma China	6	172 0.9×	155 0.9×	121 0.8×	13 0.5×	14 0.8×	15	240
Boyang Deng United States	2	214 1.1×	187 1.0×	160 1.1×	33 1.3×	12 0.7×	4	287
Jean‐Marc Thiery France	10	122 0.6×	198 1.1×	209 1.4×	24 0.9×	28 1.6×	29	288
Utkarsh Sinha India	3	278 1.4×	174 1.0×	144 1.0×	12 0.5×	22 1.3×	9	330
Yawar Siddiqui Germany	6	161 0.8×	132 0.7×	132 0.9×	31 1.2×	12 0.7×	8	235
Basile Van Hoorick United States	3	218 1.1×	139 0.8×	127 0.9×	30 1.2×	43 2.5×	3	310
Anpei Chen Germany	4	206 1.0×	131 0.7×	89 0.6×	27 1.0×	9 0.5×	5	280
Jonathan T. Barron United Kingdom	5	197 1.0×	160 0.9×	117 0.8×	39 1.5×	7 0.4×	8	284
Ang Cao United States	5	213 1.1×	130 0.7×	82 0.6×	15 0.6×	14 0.8×	11	273

Countries citing papers authored by Tianchang Shen

Since Specialization

Citations

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

Fields of papers citing papers by Tianchang Shen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianchang Shen

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

7 of 7 papers shown

1.

Shen, Tianchang, Jiahui Huang, Huan Ling, et al.. (2025). Gen3C: 3D-Informed World-Consistent Video Generation with Precise Camera Control. 6121–6132. 2 indexed citations

2.

Daviet, Gilles, Tianchang Shen, Nicholas Sharp, & David I. W. Levin. (2025). Neurally Integrated Finite Elements for Differentiable Elasticity on Evolving Domains. ACM Transactions on Graphics. 44(2). 1–17.

3.

Shen, Tianchang. (2024). Deep marching tetrahedra: a hybrid representation for high-resolution 3D shape synthesis. arXiv (Cornell University). 34.

4.

Shen, Tianchang, Jacob Munkberg, Jon Hasselgren, et al.. (2023). Flexible Isosurface Extraction for Gradient-Based Mesh Optimization. ACM Transactions on Graphics. 42(4). 1–16. 24 indexed citations

5.

Shen, Tianchang, Merlin Nimier-David, Nicholas Sharp, et al.. (2023). Adaptive Shells for Efficient Neural Radiance Field Rendering. ACM Transactions on Graphics. 42(6). 1–15. 21 indexed citations

6.

Wang, Zian, Tianchang Shen, Jun Gao, et al.. (2023). Neural Fields Meet Explicit Geometric Representations for Inverse Rendering of Urban Scenes. 8370–8380. 34 indexed citations

7.

Munkberg, Jacob, Wenzheng Chen, Jon Hasselgren, et al.. (2022). Extracting Triangular 3D Models, Materials, and Lighting From Images. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 8270–8280. 184 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.

Explore authors with similar magnitude of impact