Edward Chien
Impact in
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- Computer Graphics and Visualization Techniques
- Computational Geometry and Mesh Generation
- Computational Mechanics top 5%
- 3D Shape Modeling and Analysis
- Advanced Numerical Analysis Techniques
- Advanced Numerical Methods in Computational Mathematics
Papers in
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- Computational Geometry and Mesh Generation 7
- Computer Graphics and Visualization Techniques 5
-
- Advanced Numerical Analysis Techniques 7
- 3D Shape Modeling and Analysis 7
- Fluid Dynamics and Turbulent Flows 1
- Co-authors
- Ofir WeberJustin SolomonDavid BommesRenjie ChenEtienne VougaLiane MakaturaSebastian ClaiciEmily Whiting
- Journals
- ACM Transactions on Graphics (6 papers)Computer Graphics Forum (4 papers)International Conference on Machine Learning (1 paper)OpenBU (Boston University) (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesIsraelCanada
In The Last Decade
Edward Chien
17 papers receiving 217 citations
Peers
Comparison fields: 5 of 38
- Computer Graphics and Computer-Aided Design 161
- Computational Mechanics 178
- Computer Vision and Pattern Recognition 46
- Architecture 2
- Geology 6
Countries citing papers authored by Edward Chien
This map shows the geographic impact of Edward Chien'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 Edward Chien with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward Chien more than expected).
Fields of papers citing papers by Edward Chien
This network shows the impact of papers produced by Edward Chien. 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 Edward Chien. The network helps show where Edward Chien may publish in the future.
Co-authorship network
The 13 scholars most cited alongside Edward Chien, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 5 | |
| 5 | 2023 | 10 | |
| 6 | Incorporating unlabeled data into distributionally-robust learning | 2021 | 2 |
| 7 | 2021 | 16 | |
| 8 | 2020 | 15 | |
| 9 | Hierarchical Optimal Transport for Document Representation | 2019 | 3 |
| 10 | 2019 | 14 | |
| 11 | 2019 | 1 | |
| 12 | Stochastic Wasserstein Barycenters | 2018 | 4 |
| 13 | 2018 | 49 | |
| 14 | 2017 | 36 | |
| 15 | 2017 | 6 | |
| 16 | 2016 | 22 | |
| 17 | 2016 | 31 |
About Edward Chien
Edward Chien is a scholar working on Computer Graphics and Computer-Aided Design, Computational Mechanics, Computer Vision and Pattern Recognition, Numerical Analysis and Human-Computer Interaction, having authored 17 papers that have together received 222 indexed citations. Recurring topics across this work include Advanced Numerical Analysis Techniques (7 papers), Computational Geometry and Mesh Generation (7 papers), 3D Shape Modeling and Analysis (7 papers), Computer Graphics and Visualization Techniques (5 papers), Advanced Vision and Imaging (4 papers), Optical measurement and interference techniques (2 papers), Manufacturing Process and Optimization (1 paper) and Fluid Dynamics and Turbulent Flows (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (161 citations), Computational Mechanics (178 citations), Computer Vision and Pattern Recognition (46 citations), Architecture (2 citations) and Geology (6 citations). Edward Chien has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Ofir Weber, Justin Solomon, David Bommes, Renjie Chen, Etienne Vouga, Liane Makatura, Sebastian Claici, Emily Whiting, Charlie Frogner and Mikhail Yurochkin. Their work appears in journals such as ACM Transactions on Graphics, Computer Graphics Forum, International Conference on Machine Learning, OpenBU (Boston University) and arXiv (Cornell University).
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.