Hsian‐He Hsu

84 total papers · 1.0k total citations
62 papers, 768 citations indexed

About

Hsian‐He Hsu is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine. According to data from OpenAlex, Hsian‐He Hsu has authored 62 papers receiving a total of 768 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Radiology, Nuclear Medicine and Imaging, 28 papers in Pulmonary and Respiratory Medicine and 13 papers in Pathology and Forensic Medicine. Recurrent topics in Hsian‐He Hsu's work include Radiomics and Machine Learning in Medical Imaging (16 papers), MRI in cancer diagnosis (13 papers) and Lung Cancer Diagnosis and Treatment (12 papers). Hsian‐He Hsu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (16 papers), MRI in cancer diagnosis (13 papers) and Lung Cancer Diagnosis and Treatment (12 papers). Hsian‐He Hsu collaborates with scholars based in Taiwan, United States and Hong Kong. Hsian‐He Hsu's co-authors include Wei‐Chou Chang, Kai‐Hsiung Ko, Giu‐Cheng Hsu, Guo‐Shu Huang, Jyh‐Cherng Yu, Cheng‐Ping Yu, Shih-Chun Lee, Yi‐Jen Peng, Chi‐Ming Chu and Ho‐Jui Tung and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Hsian‐He Hsu

59 papers receiving 750 citations

Author Peers

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

Author Last Decade Papers Cites
Hsian‐He Hsu 376 251 170 162 80 62 768
Heon Han 207 0.6× 168 0.7× 72 0.4× 240 1.5× 43 0.5× 54 793
Kazuhiro Shimamoto 302 0.8× 165 0.7× 77 0.5× 336 2.1× 62 0.8× 44 822
Byung Hee Lee 189 0.5× 309 1.2× 211 1.2× 195 1.2× 180 2.3× 58 855
Sandeep Ghai 270 0.7× 130 0.5× 180 1.1× 114 0.7× 84 1.1× 44 881
Kai‐Hsiung Ko 244 0.6× 250 1.0× 104 0.6× 126 0.8× 54 0.7× 46 635
Hubert Gufler 321 0.9× 104 0.4× 96 0.6× 369 2.3× 71 0.9× 46 847
Mototaka Miyake 360 1.0× 286 1.1× 49 0.3× 117 0.7× 91 1.1× 46 859
Marilyn J. Morton 337 0.9× 255 1.0× 146 0.9× 128 0.8× 99 1.2× 24 798
Wolfgang Thaiss 308 0.8× 206 0.8× 68 0.4× 99 0.6× 71 0.9× 66 828
Pierpaolo Pattacini 212 0.6× 254 1.0× 50 0.3× 68 0.4× 73 0.9× 47 632

Countries citing papers authored by Hsian‐He Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Hsian‐He Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsian‐He Hsu. 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 Hsian‐He Hsu. The network helps show where Hsian‐He Hsu may publish in the future.

Co-authorship network of co-authors of Hsian‐He Hsu

This figure shows the co-authorship network connecting the top 25 collaborators of Hsian‐He Hsu. A scholar is included among the top collaborators of Hsian‐He Hsu 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 Hsian‐He Hsu. Hsian‐He Hsu 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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