Wei-Chung Shia

19 papers and 289 indexed citations i.

About

Wei-Chung Shia is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Wei-Chung Shia has authored 19 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Artificial Intelligence and 5 papers in Molecular Biology. Recurrent topics in Wei-Chung Shia’s work include AI in cancer detection (10 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Digital Radiography and Breast Imaging (4 papers). Wei-Chung Shia is often cited by papers focused on AI in cancer detection (10 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Digital Radiography and Breast Imaging (4 papers). Wei-Chung Shia collaborates with scholars based in Taiwan, China and India. Wei-Chung Shia's co-authors include Dar‐Ren Chen, Fang-Rong Hsu, Ming-Feng Hsieh, Huang‐Chi Chen, Chun-Eng Liu, Hwei‐Ling Peng, Chuan-Yi Tang, Chang‐Hua Chen, Hwa‐Koon Wu and Yu-Len Huang and has published in prestigious journals such as Cancer Research, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Co-authorship network of co-authors of Wei-Chung Shia i

Fields of papers citing papers by Wei-Chung Shia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei-Chung Shia. 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 Wei-Chung Shia. The network helps show where Wei-Chung Shia may publish in the future.

Countries citing papers authored by Wei-Chung Shia

Since Specialization
Citations

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

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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2025