Xiaoping Liu

17 total papers · 851 total citations
14 papers, 669 citations indexed

About

Xiaoping Liu is a scholar working on Computer Vision and Pattern Recognition, Applied Mathematics and Signal Processing. According to data from OpenAlex, Xiaoping Liu has authored 14 papers receiving a total of 669 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 12 papers in Applied Mathematics and 10 papers in Signal Processing. Recurrent topics in Xiaoping Liu's work include Image and Signal Denoising Methods (13 papers), Mathematical Analysis and Transform Methods (12 papers) and Digital Filter Design and Implementation (10 papers). Xiaoping Liu is often cited by papers focused on Image and Signal Denoising Methods (13 papers), Mathematical Analysis and Transform Methods (12 papers) and Digital Filter Design and Implementation (10 papers). Xiaoping Liu collaborates with scholars based in China, United States and Australia. Xiaoping Liu's co-authors include Jun Shi, Naitong Zhang, Qinyu Zhang, Wei Xiang, Xiaochen Sun, Cheng He, Yan‐Feng Chen, Feng Liang, Ming‐Hui Lu and Yulin Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, IEEE Transactions on Signal Processing and Signal Processing.

In The Last Decade

Xiaoping Liu

14 papers receiving 652 citations

Author Peers

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

Author						Papers	Cites
Xiaoping Liu	369	318	239	194	79	14	669
Stefan L. Hahn	212 0.6×	133 0.4×	122 0.5×	53 0.3×	9 0.1×	20	755
Fiona H. Kerr	368 1.0×	452 1.4×	230 1.0×	86 0.4×	4 0.1×	9	644
Timo Eirola	85 0.2×	83 0.3×	28 0.1×	61 0.3×	22 0.3×	33	565
Guang‐Jing Song	178 0.5×	273 0.9×	44 0.2×	46 0.2×	7 0.1×	43	700
Yue Wang	356 1.0×	227 0.7×	173 0.7×	19 0.1×	3 0.0×	36	700
Chun-Ching Shih	88 0.2×	105 0.3×	57 0.2×	463 2.4×	44 0.6×	34	693
Wayne Lawton	454 1.2×	349 1.1×	165 0.7×	33 0.2×	3 0.0×	45	791
G. Goertzel	69 0.2×	18 0.1×	116 0.5×	152 0.8×	14 0.2×	16	725
V. Belevitch	42 0.1×	65 0.2×	120 0.5×	97 0.5×	6 0.1×	37	749
Amir Averbuch	186 0.5×	29 0.1×	24 0.1×	50 0.3×	59 0.7×	48	612

Countries citing papers authored by Xiaoping Liu

Since Specialization

Citations

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

Fields of papers citing papers by Xiaoping Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoping Liu

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