Li Tian

86 total papers · 941 total citations
52 papers, 419 citations indexed

About

Li Tian is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Control and Systems Engineering. According to data from OpenAlex, Li Tian has authored 52 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 15 papers in Biomedical Engineering and 11 papers in Control and Systems Engineering. Recurrent topics in Li Tian's work include Robot Manipulation and Learning (8 papers), Soft Robotics and Applications (8 papers) and Advanced Vision and Imaging (6 papers). Li Tian is often cited by papers focused on Robot Manipulation and Learning (8 papers), Soft Robotics and Applications (8 papers) and Advanced Vision and Imaging (6 papers). Li Tian collaborates with scholars based in China, Singapore and Switzerland. Li Tian's co-authors include Kaushik Bhattacharya, Gal deBotton, Jianmin Zheng, Nadia Magnenat‐Thalmann, Daniël Thalmann, Vyas Sekar, Tianlong Yu, Yuqiong Sun, Srinivasan Seshan and Virginia Smith and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Journal of Colloid and Interface Science.

In The Last Decade

Li Tian

46 papers receiving 410 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Li Tian	182	89	63	58	50	52	419
Xin Shi	69 0.4×	59 0.7×	56 0.9×	60 1.0×	63 1.3×	52	434
Jim‐Wei Wu	148 0.8×	62 0.7×	21 0.3×	123 2.1×	51 1.0×	63	434
Wenxin Zhang	101 0.6×	77 0.9×	25 0.4×	34 0.6×	29 0.6×	48	449
Wenkai Huang	140 0.8×	83 0.9×	55 0.9×	111 1.9×	11 0.2×	48	476
Zhen Sun	91 0.5×	177 2.0×	32 0.5×	95 1.6×	23 0.5×	66	465
Zhipeng Cui	98 0.5×	137 1.5×	78 1.2×	21 0.4×	20 0.4×	29	389
Guangkai Sun	97 0.5×	92 1.0×	64 1.0×	22 0.4×	31 0.6×	33	427
Rui Chen	106 0.6×	111 1.2×	33 0.5×	50 0.9×	10 0.2×	49	471
Farong Gao	171 0.9×	105 1.2×	57 0.9×	22 0.4×	7 0.1×	40	386
Jin Ho Yang	85 0.5×	42 0.5×	127 2.0×	45 0.8×	30 0.6×	45	484

Countries citing papers authored by Li Tian

Since Specialization

Citations

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

Fields of papers citing papers by Li Tian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Tian

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

All Works

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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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