Kao Zhang

44 total papers · 571 total citations
34 papers, 432 citations indexed

About

Kao Zhang is a scholar working on Computer Vision and Pattern Recognition, Genetics and Animal Science and Zoology. According to data from OpenAlex, Kao Zhang has authored 34 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 7 papers in Genetics and 5 papers in Animal Science and Zoology. Recurrent topics in Kao Zhang's work include Visual Attention and Saliency Detection (9 papers), Image and Video Quality Assessment (8 papers) and Virus-based gene therapy research (6 papers). Kao Zhang is often cited by papers focused on Visual Attention and Saliency Detection (9 papers), Image and Video Quality Assessment (8 papers) and Virus-based gene therapy research (6 papers). Kao Zhang collaborates with scholars based in China, United States and Germany. Kao Zhang's co-authors include Zhenzhong Chen, Daiqin Yang, Ruiqian Zhang, Jiadong Zhang, Zhaopeng Hu, Yingxue Zhang, Jian Yao, Jing Ling, Chen Feng and Di Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and Sensors.

In The Last Decade

Kao Zhang

27 papers receiving 427 citations

Author Peers

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

Author						Papers	Cites
Kao Zhang	297	77	57	47	43	34	432
Joong-Hwan Baek	182 0.6×	26 0.3×	37 0.6×	8 0.2×	2 0.0×	32	417
Bowen Luo	66 0.2×	9 0.1×	28 0.5×	4 0.1×	8 0.2×	38	428
Jiaming Guo	233 0.8×	19 0.2×	20 0.4×	10 0.2×	2 0.0×	49	472
Azadeh Alavi	281 0.9×	47 0.6×	2 0.0×	5 0.1×	30 0.7×	33	434
Wesley L. Passos	208 0.7×	34 0.4×	45 0.8×	6 0.1×	3 0.1×	12	481
Guiying Zhang	97 0.3×	23 0.3×	47 0.8×	4 0.1×	6 0.1×	34	472
Vinay Kumar	114 0.4×	54 0.7×	16 0.3×	1 0.0×	34 0.8×	55	452
Giuseppe Claudio Guarnera	203 0.7×	28 0.4×	14 0.2×	75 1.6×		40	450
Zhijie Tang	78 0.3×	20 0.3×	28 0.5×	78 1.7×	3 0.1×	55	475
Ju He	303 1.0×	27 0.4×	26 0.5×	24 0.5×	3 0.1×	11	445

Countries citing papers authored by Kao Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Kao Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kao Zhang

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