Guohua Peng

113 total papers · 495 total citations
65 papers, 348 citations indexed

About

Guohua Peng is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computational Mechanics. According to data from OpenAlex, Guohua Peng has authored 65 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computer Vision and Pattern Recognition, 12 papers in Media Technology and 11 papers in Computational Mechanics. Recurrent topics in Guohua Peng's work include Advanced Image and Video Retrieval Techniques (15 papers), Advanced Numerical Analysis Techniques (9 papers) and Visual Attention and Saliency Detection (9 papers). Guohua Peng is often cited by papers focused on Advanced Image and Video Retrieval Techniques (15 papers), Advanced Numerical Analysis Techniques (9 papers) and Visual Attention and Saliency Detection (9 papers). Guohua Peng collaborates with scholars based in China, Belgium and Canada. Guohua Peng's co-authors include Bernard De Baets, Chen Wang, Zhengge Huang, Chen Wang, Jingjing Cui, Si Chen, Xingshi He, Xin‐She Yang, Wei Lin and Weijie Song and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and Pattern Recognition.

In The Last Decade

Guohua Peng

56 papers receiving 328 citations

Author Peers

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

Author						Papers	Cites
Guohua Peng	169	62	60	58	42	65	348
Yan Dong	161 1.0×	49 0.8×	55 0.9×	75 1.3×	26 0.6×	35	368
Jinlong Shi	249 1.5×	29 0.5×	65 1.1×	42 0.7×	22 0.5×	48	381
Chao Yuan	94 0.6×	33 0.5×	147 2.5×	33 0.6×	21 0.5×	50	324
Baojiang Zhong	242 1.4×	46 0.7×	26 0.4×	64 1.1×	13 0.3×	62	350
Donghui Li	192 1.1×	35 0.6×	58 1.0×	59 1.0×	21 0.5×	60	403
Qing Zhu	166 1.0×	40 0.6×	24 0.4×	53 0.9×	37 0.9×	31	327
Xiujun Zhang	164 1.0×	82 1.3×	35 0.6×	98 1.7×	15 0.4×	32	347
R. Y. Wong	208 1.2×	22 0.4×	29 0.5×	45 0.8×	45 1.1×	37	333
Guangliang Chen	262 1.6×	131 2.1×	125 2.1×	112 1.9×	15 0.4×	26	398
Dan C. Popescu	114 0.7×	35 0.6×	39 0.7×	22 0.4×	17 0.4×	43	305

Countries citing papers authored by Guohua Peng

Since Specialization

Citations

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

Fields of papers citing papers by Guohua Peng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guohua Peng

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