Siping Liu

55 total papers · 463 total citations
31 papers, 313 citations indexed

About

Siping Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, Siping Liu has authored 31 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 6 papers in Mechanical Engineering. Recurrent topics in Siping Liu's work include Advanced Vision and Imaging (5 papers), Supercapacitor Materials and Fabrication (4 papers) and Image Processing Techniques and Applications (4 papers). Siping Liu is often cited by papers focused on Advanced Vision and Imaging (5 papers), Supercapacitor Materials and Fabrication (4 papers) and Image Processing Techniques and Applications (4 papers). Siping Liu collaborates with scholars based in China, United States and Canada. Siping Liu's co-authors include Renfa Li, Cheng Xu, Zhiguo Li, Laurence T. Yang, Guoqi Xie, Jiahua Li, Rong Yu, Xiaoli Li, Pengfei Huo and Xiujuan Chen and has published in prestigious journals such as Journal of Applied Physics, IEEE Transactions on Geoscience and Remote Sensing and Physical Review A.

In The Last Decade

Siping Liu

30 papers receiving 306 citations

Author Peers

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

Author						Papers	Cites
Siping Liu	70	60	49	48	38	31	313
Komkrit Chomsuwan	20 0.3×	20 0.3×	162 3.3×	47 1.0×	23 0.6×	48	330
Zhaoyu Shou	31 0.4×	61 1.0×	66 1.3×	12 0.3×	8 0.2×	33	264
Wook‐Sung Kim	28 0.4×	144 2.4×	75 1.5×	7 0.1×	75 2.0×	44	301
Shivani Malhotra	19 0.3×	38 0.6×	82 1.7×	15 0.3×	7 0.2×	59	249
N. C. Shivaprakash	36 0.5×	20 0.3×	65 1.3×	6 0.1×	4 0.1×	38	342
Boyuan Liu	25 0.4×	54 0.9×	97 2.0×	2 0.0×	18 0.5×	30	291
Cristian Zet	64 0.9×	15 0.3×	83 1.7×	2 0.0×	34 0.9×	41	278
Wei Lin	9 0.1×	18 0.3×	241 4.9×	33 0.7×	37 1.0×	25	351
Chi-Cheng Lin	8 0.1×	32 0.5×	120 2.4×	9 0.2×	20 0.5×	21	342
Héctor Sánchez	18 0.3×	4 0.1×	45 0.9×	74 1.5×	11 0.3×	47	276

Countries citing papers authored by Siping Liu

Since Specialization

Citations

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

Fields of papers citing papers by Siping Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siping Liu

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