Shihui Guo

20 total papers · 466 total citations
14 papers, 307 citations indexed

About

Shihui Guo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Shihui Guo has authored 14 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 3 papers in Biomedical Engineering. Recurrent topics in Shihui Guo's work include Human Pose and Action Recognition (3 papers), Hand Gesture Recognition Systems (2 papers) and Image Enhancement Techniques (2 papers). Shihui Guo is often cited by papers focused on Human Pose and Action Recognition (3 papers), Hand Gesture Recognition Systems (2 papers) and Image Enhancement Techniques (2 papers). Shihui Guo collaborates with scholars based in China, Hong Kong and United Kingdom. Shihui Guo's co-authors include Kay Chen Tan, Min Jiang, Zhenzhong Wang, Xing Gao, Liming Qiu, Minghong Liao, Xiangyang Liu, Fei Chao, Juncong Lin and Xiaogang Jin and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Cybernetics and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

Shihui Guo

13 papers receiving 304 citations

Author Peers

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

Author						Papers	Cites
Shihui Guo	186	178	45	27	26	14	307
Sayan Maity	190 1.0×	136 0.8×	50 1.1×	5 0.2×	45 1.7×	9	310
Meiji Cui	108 0.6×	81 0.5×	29 0.6×	21 0.8×	13 0.5×	15	241
Qiongjie Tian	182 1.0×	90 0.5×	27 0.6×	6 0.2×	59 2.3×	13	298
Marjan Abdechiri	154 0.8×	49 0.3×	55 1.2×	11 0.4×	33 1.3×	16	311
Nan Li	163 0.9×	86 0.5×	71 1.6×	19 0.7×	34 1.3×	17	308
Andrew Guillory	128 0.7×	42 0.2×	99 2.2×	25 0.9×	10 0.4×	11	295
Sabine Helwig	137 0.7×	95 0.5×	18 0.4×	7 0.3×	31 1.2×	9	222
M. Sefrioui	87 0.5×	126 0.7×	7 0.2×	18 0.7×	24 0.9×	13	266
Abdelmonem M. Ibrahim	238 1.3×	126 0.7×	47 1.0×	8 0.3×	35 1.3×	15	346
Raffaele Mascella	206 1.1×	100 0.6×	36 0.8×	9 0.3×	44 1.7×	16	302

Countries citing papers authored by Shihui Guo

Since Specialization

Citations

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

Fields of papers citing papers by Shihui Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shihui Guo

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