Suyuan Liu

74 total papers · 1.6k total citations
32 papers, 897 citations indexed

About

Suyuan Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Suyuan Liu has authored 32 papers receiving a total of 897 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 19 papers in Artificial Intelligence and 5 papers in Experimental and Cognitive Psychology. Recurrent topics in Suyuan Liu's work include Face and Expression Recognition (15 papers), Advanced Clustering Algorithms Research (14 papers) and Text and Document Classification Technologies (8 papers). Suyuan Liu is often cited by papers focused on Face and Expression Recognition (15 papers), Advanced Clustering Algorithms Research (14 papers) and Text and Document Classification Technologies (8 papers). Suyuan Liu collaborates with scholars based in China, United States and Taiwan. Suyuan Liu's co-authors include Xinwang Liu, Siwei Wang, Yuan Zong, Wenming Zheng, En Zhu, Zhen Cui, Tengfei Song, Yang Li, Changwang Zhang and Pei Zhang and has published in prestigious journals such as IEEE Transactions on Image Processing, The Journal of the Acoustical Society of America and Life Sciences.

In The Last Decade

Suyuan Liu

31 papers receiving 889 citations

Author Peers

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

Author						Papers	Cites
Suyuan Liu	418	367	221	210	58	32	897
Huihui Li	342 0.8×	257 0.7×	234 1.1×	60 0.3×	22 0.4×	70	879
Byoung‐Jun Park	80 0.2×	344 0.9×	139 0.6×	137 0.7×	12 0.2×	56	818
Abdullah M. Dobaie	321 0.8×	201 0.5×	183 0.8×	63 0.3×	24 0.4×	32	980
Yandan Wang	379 0.9×	330 0.9×	195 0.9×	54 0.3×	38 0.7×	37	955
Lun Xie	125 0.3×	140 0.4×	169 0.8×	67 0.3×	16 0.3×	82	930
Yaman Akbulut	204 0.5×	148 0.4×	85 0.4×	151 0.7×	8 0.1×	32	728
Ioan Buciu	709 1.7×	187 0.5×	213 1.0×	76 0.4×	28 0.5×	37	947
Yuxiu Sui	146 0.3×	222 0.6×	65 0.3×	225 1.1×	14 0.2×	34	960
Pradip Sircar	198 0.5×	173 0.5×	177 0.8×	376 1.8×	12 0.2×	57	991
Yong Zhang	211 0.5×	207 0.6×	302 1.4×	275 1.3×	13 0.2×	72	882

Countries citing papers authored by Suyuan Liu

Since Specialization

Citations

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

Fields of papers citing papers by Suyuan Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suyuan Liu

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