Kang Yang

30 total papers · 416 total citations
20 papers, 271 citations indexed

About

Kang Yang is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kang Yang has authored 20 papers receiving a total of 271 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Biomedical Engineering and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kang Yang's work include Medical Imaging Techniques and Applications (6 papers), Advanced X-ray and CT Imaging (5 papers) and Viral gastroenteritis research and epidemiology (3 papers). Kang Yang is often cited by papers focused on Medical Imaging Techniques and Applications (6 papers), Advanced X-ray and CT Imaging (5 papers) and Viral gastroenteritis research and epidemiology (3 papers). Kang Yang collaborates with scholars based in China, Canada and United States. Kang Yang's co-authors include Wei Qian, He Ma, Hongyang Jiang, Dongdong Zhang, Mengdi Gao, Mengdi Gao, Jie Xu, Guyue Zhou, Honghui Zhang and Kai Wang and has published in prestigious journals such as Journal of Virology, IEEE Access and Composites Part B Engineering.

In The Last Decade

Kang Yang

16 papers receiving 252 citations

Author Peers

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

Author						Papers	Cites
Kang Yang	181	92	85	65	38	20	271
Xianglong Zeng	206 1.1×	145 1.6×	119 1.4×	94 1.4×	24 0.6×	11	302
Tyler Rhodes	156 0.9×	23 0.3×	117 1.4×	30 0.5×	21 0.6×	12	320
Henry A. Leopold	150 0.8×	110 1.2×	114 1.3×	11 0.2×	26 0.7×	10	255
Álvaro S. Hervella	261 1.4×	122 1.3×	168 2.0×	19 0.3×	50 1.3×	21	307
Qing Cao	116 0.6×	105 1.1×	12 0.1×	9 0.1×	41 1.1×	22	305
Pengshuai Yin	92 0.5×	79 0.9×	56 0.7×	4 0.1×	26 0.7×	15	166
Peng Liu	79 0.4×	95 1.0×	41 0.5×	3 0.0×	100 2.6×	38	250
Lie Ju	158 0.9×	86 0.9×	98 1.2×	10 0.2×	85 2.2×	23	318
Arezoo Sadeghzadeh	75 0.4×	79 0.9×	42 0.5×	3 0.0×	11 0.3×	20	249
Yasmin M. Kassim	79 0.4×	161 1.8×	14 0.2×	5 0.1×	56 1.5×	21	278

Countries citing papers authored by Kang Yang

Since Specialization

Citations

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

Fields of papers citing papers by Kang Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kang Yang

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