Zhuoru Li

473 total citations
14 papers, 215 citations indexed

About

Zhuoru Li is a scholar working on Molecular Biology, Artificial Intelligence and Organic Chemistry. According to data from OpenAlex, Zhuoru Li has authored 14 papers receiving a total of 215 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Artificial Intelligence and 3 papers in Organic Chemistry. Recurrent topics in Zhuoru Li's work include Chemical Synthesis and Analysis (4 papers), Reinforcement Learning in Robotics (4 papers) and Click Chemistry and Applications (3 papers). Zhuoru Li is often cited by papers focused on Chemical Synthesis and Analysis (4 papers), Reinforcement Learning in Robotics (4 papers) and Click Chemistry and Applications (3 papers). Zhuoru Li collaborates with scholars based in China, Singapore and Japan. Zhuoru Li's co-authors include Chuanliu Wu, Tze-Yun Leong, Yibing Zhao, Tomi Silander, Weidong Liu, Louis Y. P. Luk, Wei Gao, Xiaoting Meng, Yu‐Hsuan Tsai and Xuefei Li and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Chemical Science.

In The Last Decade

Zhuoru Li

12 papers receiving 209 citations

Peers

Zhuoru Li

MB

OC

AI

RNMI

CVPR

Jianxing Hu China

Tomasz Danel Poland

Yizhe Li China

Xiao Xiong China

Bruno Iochins Grisci Brazil

M. Hänggi United States

Linhao Zhang China

Manon Réau France

Shengcong Chen China

Jianxing Hu China

Zhuoru Li

168 ×1.3

MB

47 ×0.6

OC

24 ×0.6

AI

42 ×1.2

RNMI

9 ×0.3

CVPR

Citations per year, relative to Zhuoru Li Zhuoru Li (= 1×) peers Jianxing Hu

Countries citing papers authored by Zhuoru Li

Since Specialization

Citations

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

Fields of papers citing papers by Zhuoru Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhuoru Li

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

All Works

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14 of 14 papers shown

1.

Li, Zhuoru, et al.. (2025). Image Referenced Sketch Colorization Based on Animation Creation Workflow. 23391–23400.

2.

Li, Zhuoru, et al.. (2024). On Statistical Rates and Provably Efficient Criteria of Latent Diffusion Transformers (DiTs). 31562–31628.

3.

Li, Shengwen, et al.. (2022). Region-aware neural graph collaborative filtering for personalized recommendation. International Journal of Digital Earth. 15(1). 1446–1462. 7 indexed citations

4.

Li, Zhuoru, et al.. (2021). The Animation Transformer: Visual Correspondence via Segment Matching. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 11303–11312. 19 indexed citations

5.

Zheng, Xiaoli, Zhuoru Li, Wei Gao, et al.. (2020). Condensation of 2-((Alkylthio)(aryl)methylene)malononitrile with 1,2-Aminothiol as a Novel Bioorthogonal Reaction for Site-Specific Protein Modification and Peptide Cyclization. Journal of the American Chemical Society. 142(11). 5097–5103. 66 indexed citations

6.

Yin, Yizhen, et al.. (2019). Chemical and Ribosomal Synthesis of Topologically Controlled Bicyclic and Tricyclic Peptide Scaffolds Primed by Selenoether Formation. Angewandte Chemie International Edition. 58(15). 4880–4885. 31 indexed citations

7.

Yin, Yizhen, et al.. (2019). Chemical and Ribosomal Synthesis of Topologically Controlled Bicyclic and Tricyclic Peptide Scaffolds Primed by Selenoether Formation. Angewandte Chemie. 131(15). 4934–4939. 3 indexed citations

8.

Li, Zhuoru, Akshay Narayan, & Tze-Yun Leong. (2017). An Efficient Approach to Model-Based Hierarchical Reinforcement Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 31(1). 10 indexed citations

9.

Gao, Jinhong, et al.. (2017). Tunable accessibility of dye-doped liposomes towards gold nanoparticles for fluorescence sensing of lipopolysaccharide. The Analyst. 142(7). 1084–1090. 8 indexed citations

10.

Narayan, Akshay, Zhuoru Li, & Tze-Yun Leong. (2017). SEAPoT-RL: Selective Exploration Algorithm for Policy Transfer in RL. Proceedings of the AAAI Conference on Artificial Intelligence. 31(1). 1 indexed citations

11.

Zheng, Yiwu, Zhuoru Li, Jing Ren, et al.. (2017). Artificial disulfide-rich peptide scaffolds with precisely defined disulfide patterns and a minimized number of isomers. Chemical Science. 8(4). 2547–2552. 26 indexed citations

12.

Silander, Tomi, et al.. (2015). Scalable transfer learning in heterogeneous, dynamic environments. Artificial Intelligence. 247. 70–94. 16 indexed citations

13.

Bai, Jie, Hui Shi, Limei Ai, et al.. (2015). [Survival and prognosis of patients with polycythemia vera: a study of 816 patients in a single Chinese center].. PubMed. 95(18). 1364–8. 2 indexed citations

14.

Li, Zhuoru, et al.. (2013). Online Feature Selection for Model-based Reinforcement Learning. Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University). 1. 498–506. 26 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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