Chun-Hao Yang

37 total papers · 421 total citations
10 papers, 270 citations indexed

About

Chun-Hao Yang is a scholar working on Geometry and Topology, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Chun-Hao Yang has authored 10 papers receiving a total of 270 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Geometry and Topology, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Chun-Hao Yang's work include Image Retrieval and Classification Techniques (2 papers), Advanced Neuroimaging Techniques and Applications (2 papers) and Morphological variations and asymmetry (2 papers). Chun-Hao Yang is often cited by papers focused on Image Retrieval and Classification Techniques (2 papers), Advanced Neuroimaging Techniques and Applications (2 papers) and Morphological variations and asymmetry (2 papers). Chun-Hao Yang collaborates with scholars based in Taiwan, United States and Canada. Chun-Hao Yang's co-authors include B. C. Wang, Edward F. Chang, Tse‐Min Lee, Chi-Hsuan Cheng, Chen‐Hsi Chou, Chi‐Chang Lin, Ging‐Long Lin, Baba C. Vemuri, Sheng‐Mao Chang and Kuo‐Jung Lee and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Journal of Biomedical Materials Research.

In The Last Decade

Chun-Hao Yang

9 papers receiving 254 citations

Author Peers

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

Author						Papers	Cites
Chun-Hao Yang	122	82	71	52	46	10	270
Dennis Chun‐Yu Ho	72 0.6×	36 0.4×	38 0.5×	41 0.8×	29 0.6×	9	234
Asilah Yusof	37 0.3×	40 0.5×	16 0.2×	113 2.2×	6 0.1×	19	308
Joshua Nelson	51 0.4×	157 1.9×	41 0.6×	7 0.1×	8 0.2×	9	325
Yusuke Uchida	62 0.5×	28 0.3×	37 0.5×	22 0.4×	32 0.7×	19	323
Mercedes Rebuelta	84 0.7×	58 0.7×	12 0.2×	13 0.3×	11 0.2×	10	192
Robin A. Nadar	124 1.0×	18 0.2×	5 0.1×	13 0.3×	41 0.9×	10	274
Himanta Bansal	44 0.4×	26 0.3×	3 0.0×	72 1.4×	6 0.1×	15	313
Yuchi Zhou	83 0.7×	58 0.7×	12 0.2×	6 0.1×	13 0.3×	7	313
Yabing Hua	91 0.7×	13 0.2×	79 1.1×	4 0.1×	17 0.4×	16	299
Siew Ann Tan	27 0.2×	16 0.2×	35 0.5×	3 0.1×	31 0.7×	10	303

Countries citing papers authored by Chun-Hao Yang

Since Specialization

Citations

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

Fields of papers citing papers by Chun-Hao Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chun-Hao Yang

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