Cheng-en Guo

19 total papers · 650 total citations
14 papers, 388 citations indexed

About

Cheng-en Guo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Cheng-en Guo has authored 14 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 3 papers in Signal Processing. Recurrent topics in Cheng-en Guo's work include Image Retrieval and Classification Techniques (8 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Advanced Vision and Imaging (5 papers). Cheng-en Guo is often cited by papers focused on Image Retrieval and Classification Techniques (8 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Advanced Vision and Imaging (5 papers). Cheng-en Guo collaborates with scholars based in United States, China and United Kingdom. Cheng-en Guo's co-authors include Song‐Chun Zhu, Ying Wu, Zijian Xu, Yizhou Wang, Jiebo Luo, Song Chun Zhu, Ying Wu, Hua Wei, Haisong Gu and Ying Wu and has published in prestigious journals such as Pattern Recognition, International Journal of Computer Vision and Computer Vision and Image Understanding.

In The Last Decade

Cheng-en Guo

14 papers receiving 362 citations

Author Peers

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

Author Last Decade Papers Cites
Cheng-en Guo 320 79 44 40 35 14 388
S. Tanimoto 270 0.8× 48 0.6× 53 1.2× 38 0.9× 40 1.1× 13 402
Thomas Schoenemann 316 1.0× 36 0.5× 47 1.1× 27 0.7× 41 1.2× 19 400
Minwoo Park 317 1.0× 62 0.8× 23 0.5× 25 0.6× 69 2.0× 34 396
Hanqing Lu 332 1.0× 45 0.6× 44 1.0× 31 0.8× 27 0.8× 29 393
Tiancheng Shen 256 0.8× 36 0.5× 127 2.9× 54 1.4× 17 0.5× 13 429
G. Guy 322 1.0× 42 0.5× 22 0.5× 65 1.6× 36 1.0× 9 416
D.N. Bhat 353 1.1× 49 0.6× 17 0.4× 39 1.0× 48 1.4× 8 406
Cong Phuoc Huynh 271 0.8× 136 1.7× 37 0.8× 32 0.8× 32 0.9× 32 438
Alessio Tonioni 281 0.9× 65 0.8× 81 1.8× 28 0.7× 40 1.1× 18 387
Bastian Goldlücke 344 1.1× 52 0.7× 21 0.5× 66 1.6× 27 0.8× 14 405

Countries citing papers authored by Cheng-en Guo

Since Specialization
Citations

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

Fields of papers citing papers by Cheng-en Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheng-en Guo

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