Zhanghui Kuang

64 total papers · 2.0k total citations
32 papers, 1.0k citations indexed

About

Zhanghui Kuang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Zhanghui Kuang has authored 32 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 4 papers in Aerospace Engineering. Recurrent topics in Zhanghui Kuang's work include Advanced Image and Video Retrieval Techniques (11 papers), Advanced Neural Network Applications (8 papers) and Domain Adaptation and Few-Shot Learning (6 papers). Zhanghui Kuang is often cited by papers focused on Advanced Image and Video Retrieval Techniques (11 papers), Advanced Neural Network Applications (8 papers) and Domain Adaptation and Few-Shot Learning (6 papers). Zhanghui Kuang collaborates with scholars based in China, Hong Kong and United Kingdom. Zhanghui Kuang's co-authors include Wei Zhang, Kenneth K. Wong, Shuyang Sun, Wanli Ouyang, Lu Sheng, Hao Zhou, Jianyong Chen, Liyang Liu, Lianwen Jin and Lingyu Liang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Expert Systems with Applications.

In The Last Decade

Zhanghui Kuang

31 papers receiving 1.0k citations

Author Peers

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

Author						Papers	Cites
Zhanghui Kuang	886	348	141	77	74	32	1.0k
Hakan Çevıkalp	766 0.9×	327 0.9×	150 1.1×	83 1.1×	183 2.5×	65	1.1k
Huan Ling	723 0.8×	206 0.6×	89 0.6×	51 0.7×	43 0.6×	33	1.0k
Minsik Lee	618 0.7×	309 0.9×	65 0.5×	85 1.1×	54 0.7×	76	939
Avinash Ravichandran	825 0.9×	454 1.3×	123 0.9×	118 1.5×	107 1.4×	18	1.1k
Alberto Albiol	773 0.9×	108 0.3×	95 0.7×	59 0.8×	178 2.4×	52	938
Richard Souvenir	650 0.7×	186 0.5×	65 0.5×	49 0.6×	41 0.6×	56	851
Yiming Liu	881 1.0×	164 0.5×	201 1.4×	47 0.6×	78 1.1×	59	1.2k
Fengwei Yu	805 0.9×	526 1.5×	133 0.9×	43 0.6×	33 0.4×	18	1.1k
Leonid Karlinsky	657 0.7×	657 1.9×	82 0.6×	27 0.4×	49 0.7×	45	1.0k
Haotong Qin	524 0.6×	460 1.3×	74 0.5×	75 1.0×	44 0.6×	36	1.0k

Countries citing papers authored by Zhanghui Kuang

Since Specialization

Citations

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

Fields of papers citing papers by Zhanghui Kuang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhanghui Kuang

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