Shang-Wen Chen

107 total papers · 2.8k total citations
78 papers, 1.6k citations indexed

About

Shang-Wen Chen is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Obstetrics and Gynecology. According to data from OpenAlex, Shang-Wen Chen has authored 78 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Oncology, 24 papers in Radiology, Nuclear Medicine and Imaging and 21 papers in Obstetrics and Gynecology. Recurrent topics in Shang-Wen Chen's work include Endometrial and Cervical Cancer Treatments (21 papers), Radiomics and Machine Learning in Medical Imaging (20 papers) and Head and Neck Cancer Studies (13 papers). Shang-Wen Chen is often cited by papers focused on Endometrial and Cervical Cancer Treatments (21 papers), Radiomics and Machine Learning in Medical Imaging (20 papers) and Head and Neck Cancer Studies (13 papers). Shang-Wen Chen collaborates with scholars based in Taiwan, China and United States. Shang-Wen Chen's co-authors include Ji‐An Liang, Shih-Neng Yang, Chia‐Hung Kao, Te‐Chun Hsieh, Kuo‐Yang Yen, Fang‐Jen Lin, Lian‐Shung Yeh, Yao‐Ching Hung, Wen‐Tsung Huang and Wei-Chih Shen and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Shang-Wen Chen

78 papers receiving 1.5k citations

Author Peers

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

Author Last Decade Papers Cites
Shang-Wen Chen 560 469 456 409 385 78 1.6k
Stephen Wan Leung 223 0.4× 508 1.1× 427 0.9× 456 1.1× 196 0.5× 52 1.5k
J.C. Horiot 342 0.6× 538 1.1× 439 1.0× 627 1.5× 327 0.8× 54 1.6k
James G. Schwade 374 0.7× 860 1.8× 470 1.0× 554 1.4× 176 0.5× 76 2.2k
Karin S. Kapp 266 0.5× 457 1.0× 734 1.6× 474 1.2× 351 0.9× 69 1.9k
Kae Okuma 273 0.5× 598 1.3× 307 0.7× 489 1.2× 250 0.6× 90 1.3k
Masaaki Kataoka 409 0.7× 394 0.8× 246 0.5× 424 1.0× 140 0.4× 90 1.3k
Hsuan‐Chih Hsu 192 0.3× 735 1.6× 458 1.0× 599 1.5× 175 0.5× 46 1.7k
Imran Zoberi 811 1.4× 511 1.1× 301 0.7× 405 1.0× 494 1.3× 90 2.0k
Jae Myoung Noh 242 0.4× 598 1.3× 549 1.2× 364 0.9× 90 0.2× 111 1.4k
Pei‐Wei Shueng 204 0.4× 450 1.0× 285 0.6× 326 0.8× 97 0.3× 114 1.4k

Countries citing papers authored by Shang-Wen Chen

Since Specialization
Citations

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

Fields of papers citing papers by Shang-Wen Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shang-Wen Chen. 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 Shang-Wen Chen. The network helps show where Shang-Wen Chen may publish in the future.

Co-authorship network of co-authors of Shang-Wen Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Shang-Wen Chen. A scholar is included among the top collaborators of Shang-Wen Chen 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 Shang-Wen Chen. Shang-Wen Chen 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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2026