Shitong Luo
Impact in
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- Computer Graphics and Visualization Techniques
- Geology top 10%
- 3D Surveying and Cultural Heritage
Papers in
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- 3D Shape Modeling and Analysis 4
- Advanced Numerical Analysis Techniques 2
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- Computer Graphics and Visualization Techniques 4
- Co-authors
- Wei Hu (3 shared papers)Jian Peng (3 shared papers)Jianzhu Ma (2 shared papers)Yufeng Su (2 shared papers)Lili Fu (1 shared paper)Peng Chen (1 shared paper)Linqi Zhang (1 shared paper)Bonnie Berger (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Cell Reports (1 paper)Applied Bionics and Biomechanics (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Shitong Luo
9 papers receiving 464 citations
Shitong Luo's Hit Papers
Peers
Comparison fields: 5 of 70
- Computer Graphics and Computer-Aided Design 157
- Geology 62
- Computational Mechanics 221
- Computer Vision and Pattern Recognition 216
- Environmental Engineering 38
Countries citing papers authored by Shitong Luo
This map shows the geographic impact of Shitong Luo'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 Shitong Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shitong Luo more than expected).
Fields of papers citing papers by Shitong Luo
This network shows the impact of papers produced by Shitong Luo. 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 Shitong Luo. The network helps show where Shitong Luo may publish in the future.
Co-authors
The 25 scholars most cited alongside Shitong Luo, 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 | Diffusion Probabilistic Models for 3D Point Cloud Generation Hit paper breakdown → | 2021 | 319 |
| 2 | 2022 | 74 | |
| 3 | 2022 | 24 | |
| 4 | 2022 | 18 | |
| 5 | 2021 | 14 | |
| 6 | Predicting Molecular Conformation via Dynamic Graph Score Matching | 2021 | 12 |
| 7 | 2023 | 11 | |
| 8 | 2017 | 2 | |
| 9 | 2025 | 2 |
About Shitong Luo
Shitong Luo is a scholar working on Computational Mechanics, Computer Graphics and Computer-Aided Design, Molecular Biology, Computational Theory and Mathematics and Biomedical Engineering, having authored 9 papers that have together received 476 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (4 papers), Computer Graphics and Visualization Techniques (4 papers), Computational Drug Discovery Methods (2 papers), Advanced Numerical Analysis Techniques (2 papers), Protein Structure and Dynamics (2 papers), Bone health and osteoporosis research (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and Machine Learning in Materials Science (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (157 citations), Geology (62 citations), Computational Mechanics (221 citations), Computer Vision and Pattern Recognition (216 citations) and Environmental Engineering (38 citations). Shitong Luo has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Wei Hu, Jian Peng, Jianzhu Ma, Yufeng Su, Lili Fu, Peng Chen, Linqi Zhang, Bonnie Berger, Ziqing Yang and Chenyu Li. Their work appears in journals such as Proceedings of the National Academy of Sciences, IEEE Transactions on Pattern Analysis and Machine Intelligence, Cell Reports, Applied Bionics and Biomechanics and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
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.