Kuangyu Shi

383 total papers · 4.9k total citations
221 papers, 2.6k citations indexed

About

Kuangyu Shi is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Kuangyu Shi has authored 221 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 151 papers in Radiology, Nuclear Medicine and Imaging, 40 papers in Biomedical Engineering and 36 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Kuangyu Shi's work include Medical Imaging Techniques and Applications (112 papers), Radiomics and Machine Learning in Medical Imaging (58 papers) and Advanced MRI Techniques and Applications (35 papers). Kuangyu Shi is often cited by papers focused on Medical Imaging Techniques and Applications (112 papers), Radiomics and Machine Learning in Medical Imaging (58 papers) and Advanced MRI Techniques and Applications (35 papers). Kuangyu Shi collaborates with scholars based in Switzerland, Germany and China. Kuangyu Shi's co-authors include Axel Rominger, Ali Afshar‐Oromieh, Hasan Sari, Ian Alberts, George Prenosil, Clemens Mingels, Karl Peter Bohn, Michael Hentschel, Sibylle Ziegler and Bjoern Menze and has published in prestigious journals such as Nature Communications, NeuroImage and Neurology.

In The Last Decade

Kuangyu Shi

193 papers receiving 2.6k citations

Hit Papers

Performance Characteristi... 2021 2026 2022 2024 2021 2021 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Kuangyu Shi 1.8k 481 436 347 245 221 2.6k
Piotr Kozłowski 1.8k 1.0× 307 0.6× 635 1.5× 355 1.0× 116 0.5× 146 3.3k
Raymond F. Muzic 1.4k 0.8× 456 0.9× 326 0.7× 281 0.8× 180 0.7× 98 3.1k
M. J. Bronskill 1.4k 0.8× 637 1.3× 533 1.2× 235 0.7× 312 1.3× 60 3.0k
Hiroaki Hoshi 1.5k 0.8× 322 0.7× 1.1k 2.5× 431 1.2× 62 0.3× 254 3.5k
Emmanuel Barbier 2.3k 1.3× 633 1.3× 906 2.1× 388 1.1× 343 1.4× 143 4.4k
Floris H. P. van Velden 1.8k 1.0× 435 0.9× 480 1.1× 295 0.9× 84 0.3× 94 2.3k
Pierre Véra 2.6k 1.5× 340 0.7× 1.2k 2.8× 335 1.0× 115 0.5× 224 5.0k
Nizar A. Mullani 2.9k 1.6× 660 1.4× 302 0.7× 796 2.3× 401 1.6× 86 4.9k
Sotirios Bisdas 3.0k 1.7× 435 0.9× 595 1.4× 82 0.2× 162 0.7× 198 4.9k
Chin-Tu Chen 1.2k 0.6× 767 1.6× 426 1.0× 339 1.0× 122 0.5× 127 3.0k

Countries citing papers authored by Kuangyu Shi

Since Specialization
Citations

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

Fields of papers citing papers by Kuangyu Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kuangyu Shi

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