Li Su

100 total papers · 581 total citations
53 papers, 355 citations indexed

About

Li Su is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Li Su has authored 53 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 10 papers in Aerospace Engineering and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Li Su's work include Advanced Neural Network Applications (10 papers), Infrared Target Detection Methodologies (7 papers) and Advanced Algorithms and Applications (5 papers). Li Su is often cited by papers focused on Advanced Neural Network Applications (10 papers), Infrared Target Detection Methodologies (7 papers) and Advanced Algorithms and Applications (5 papers). Li Su collaborates with scholars based in China. Li Su's co-authors include Yongkang Luo, Zhi Zhang, Wanyi Li, Guoliang Zhao, Hao Meng, Peng Wang, Xin Yuan, Michael Gastpar, Hao Meng and Zhilin Liu and has published in prestigious journals such as Neurocomputing, IEEE Transactions on Circuits and Systems for Video Technology and IEEE Transactions on Instrumentation and Measurement.

In The Last Decade

Li Su

48 papers receiving 340 citations

Author Peers

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

Author						Papers	Cites
Li Su	162	96	85	38	35	53	355
Xiaoqiang Ji	92 0.6×	34 0.4×	58 0.7×	26 0.7×	34 1.0×	56	303
Jingyi Liu	156 1.0×	61 0.6×	50 0.6×	70 1.8×	37 1.1×	48	387
Kexin Zhao	78 0.5×	80 0.8×	54 0.6×	25 0.7×	54 1.5×	31	371
Liang Wu	110 0.7×	65 0.7×	35 0.4×	45 1.2×	88 2.5×	36	362
Xiaochen Liu	139 0.9×	92 1.0×	35 0.4×	51 1.3×	70 2.0×	37	341
Misha Urooj Khan	103 0.6×	76 0.8×	20 0.2×	48 1.3×	34 1.0×	30	306
Shaoyang Men	108 0.7×	118 1.2×	57 0.7×	29 0.8×	109 3.1×	31	380
Tahir Nawaz	204 1.3×	38 0.4×	23 0.3×	97 2.6×	16 0.5×	40	359
Tao Liu	210 1.3×	45 0.5×	54 0.6×	64 1.7×	17 0.5×	29	384
Dwi Pebrianti	107 0.7×	80 0.8×	18 0.2×	69 1.8×	33 0.9×	69	307

Countries citing papers authored by Li Su

Since Specialization

Citations

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

Fields of papers citing papers by Li Su

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Su

This figure shows the co-authorship network connecting the top 25 collaborators of Li Su. A scholar is included among the top collaborators of Li Su 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 Su. Li Su 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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