Guihua Er

31 total papers · 483 total citations
24 papers, 357 citations indexed

About

Guihua Er is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology. According to data from OpenAlex, Guihua Er has authored 24 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 9 papers in Signal Processing and 4 papers in Media Technology. Recurrent topics in Guihua Er's work include Advanced Image and Video Retrieval Techniques (15 papers), Image Retrieval and Classification Techniques (13 papers) and Advanced Vision and Imaging (7 papers). Guihua Er is often cited by papers focused on Advanced Image and Video Retrieval Techniques (15 papers), Image Retrieval and Classification Techniques (13 papers) and Advanced Vision and Imaging (7 papers). Guihua Er collaborates with scholars based in China. Guihua Er's co-authors include Qionghai Dai, Wei Jiang, Jinwei Gu, Wenli Xu, Fei Li, Xun Cao, Hang Shao, Xudong Xie, Feng Lu and Chenglei Wu and has published in prestigious journals such as IEEE Transactions on Image Processing, Pattern Recognition and IEEE Transactions on Multimedia.

In The Last Decade

Guihua Er

22 papers receiving 341 citations

Author Peers

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

Author						Papers	Cites
Guihua Er	337	79	48	44	23	24	357
Shiaw-Shian Yu	272 0.8×	72 0.9×	40 0.8×	52 1.2×	15 0.7×	15	304
Zhongqin Wu	264 0.8×	74 0.9×	31 0.6×	102 2.3×	10 0.4×	21	364
Farah Torkamani‐Azar	299 0.9×	73 0.9×	78 1.6×	41 0.9×	10 0.4×	31	354
Jing Li	284 0.8×	78 1.0×	50 1.0×	90 2.0×	6 0.3×	22	361
Frank M. Candocia	278 0.8×	90 1.1×	39 0.8×	11 0.3×	25 1.1×	24	359
Gangyi Jiang	328 1.0×	71 0.9×	32 0.7×	9 0.2×	17 0.7×	32	345
Yangsheng Wang	277 0.8×	37 0.5×	55 1.1×	31 0.7×	20 0.9×	31	351
Xiaosheng Wu	198 0.6×	46 0.6×	19 0.4×	91 2.1×	6 0.3×	23	320
Cristian Munteanu	244 0.7×	105 1.3×	32 0.7×	68 1.5×	6 0.3×	22	367
Ben Yang	311 0.9×	58 0.7×	24 0.5×	180 4.1×	32 1.4×	32	398

Countries citing papers authored by Guihua Er

Since Specialization

Citations

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

Fields of papers citing papers by Guihua Er

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guihua Er

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