Shitong Luo

1.6k total citations · 1 hit paper
9 papers, 476 citations indexed

About

Shitong Luo is a scholar working on Computational Mechanics, Computer Graphics and Computer-Aided Design and Molecular Biology. According to data from OpenAlex, Shitong Luo has authored 9 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computational Mechanics, 4 papers in Computer Graphics and Computer-Aided Design and 3 papers in Molecular Biology. Recurrent topics in Shitong Luo's work include Computer Graphics and Visualization Techniques (4 papers), 3D Shape Modeling and Analysis (4 papers) and Protein Structure and Dynamics (2 papers). Shitong Luo is often cited by papers focused on Computer Graphics and Visualization Techniques (4 papers), 3D Shape Modeling and Analysis (4 papers) and Protein Structure and Dynamics (2 papers). Shitong Luo collaborates with scholars based in China, United States and Canada. Shitong Luo's co-authors include Wei Hu, Jian Peng, Yufeng Su, Jianzhu Ma, Lili Fu, Xuanling Shi, Linqi Zhang, Qi Zhang, Bonnie Berger and Peng Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, IEEE Transactions on Pattern Analysis and Machine Intelligence and Cell Reports.

In The Last Decade

Shitong Luo

9 papers receiving 464 citations

Hit Papers

Diffusion Probabilistic Models for 3D Point Cloud Generation 2021 2026 2022 2024 2021 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shitong Luo China 7 221 216 157 72 62 9 476
Giulia Fracastoro Italy 10 100 0.5× 194 0.9× 61 0.4× 5 0.1× 50 0.8× 34 352
Michael Tao United States 11 67 0.3× 695 3.2× 110 0.7× 17 0.2× 17 0.3× 24 830
Zirui Wang China 12 48 0.2× 286 1.3× 48 0.3× 18 0.3× 31 0.5× 40 550
Zhangjin Huang China 10 79 0.4× 135 0.6× 33 0.2× 27 0.4× 14 0.2× 41 346
Ricardo Fabbri Brazil 8 32 0.1× 268 1.2× 44 0.3× 11 0.2× 22 0.4× 15 441
Manfred Ernst United States 9 177 0.8× 381 1.8× 316 2.0× 4 0.1× 22 0.4× 14 580
Yasushi Yamaguchi Japan 13 123 0.6× 368 1.7× 188 1.2× 14 0.2× 13 0.2× 53 670
Ioana M. Martin United States 10 298 1.3× 326 1.5× 378 2.4× 12 0.2× 181 2.9× 15 675
Rui Bu China 7 251 1.1× 171 0.8× 84 0.5× 5 0.1× 201 3.2× 16 452

Countries citing papers authored by Shitong Luo

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Shitong Luo

This figure shows the co-authorship network connecting the top 25 collaborators of Shitong Luo. A scholar is included among the top collaborators of Shitong Luo 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 Shitong Luo. Shitong Luo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Gao, Wenhao, Shitong Luo, & Connor W. Coley. (2025). Generative AI for navigating synthesizable chemical space. Proceedings of the National Academy of Sciences. 122(41). e2415665122–e2415665122. 2 indexed citations
2.
Lei, Ruipeng, Andrea Hernandez Garcia, Timothy J.C. Tan, et al.. (2023). Mutational fitness landscape of human influenza H3N2 neuraminidase. Cell Reports. 42(1). 111951–111951. 11 indexed citations
3.
Luo, Shitong, et al.. (2022). Deep Point Set Resampling via Gradient Fields. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(3). 1–1. 24 indexed citations
4.
Shan, Sisi, Shitong Luo, Ziqing Yang, et al.. (2022). Deep learning guided optimization of human antibody against SARS-CoV-2 variants with broad neutralization. Proceedings of the National Academy of Sciences. 119(11). 74 indexed citations
5.
Luo, Shitong, Jiahan Li, Jiaqi Guan, et al.. (2022). Equivariant Point Cloud Analysis via Learning Orientations for Message Passing. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 18910–18919. 18 indexed citations
6.
Luo, Shitong, Chence Shi, Minkai Xu, & Jian Tang. (2021). Predicting Molecular Conformation via Dynamic Graph Score Matching. Neural Information Processing Systems. 34. 12 indexed citations
7.
Luo, Shitong, et al.. (2021). Unsupervised Learning of Geometric Sampling Invariant Representations for 3D Point Clouds. 893–903. 14 indexed citations
8.
Luo, Shitong & Wei Hu. (2021). Diffusion Probabilistic Models for 3D Point Cloud Generation. 2836–2844. 319 indexed citations breakdown →
9.
Luo, Shitong, et al.. (2017). Validation of Material Algorithms for Femur Remodelling Using Medical Image Data. Applied Bionics and Biomechanics. 2017. 1–10. 2 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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