Yi‐Chang Chen
- Pulmonary and Respiratory Medicine
- Materials Chemistry
- Radiology, Nuclear Medicine and Imaging top 10%
- Spectroscopy top 10%
- Surgery
- Co-authors
- Song SongYan‐Song ZhengChang‐Hong ShenHai‐Tao FengYeun‐Chung ChangCheng‐Hsing HsiehChung‐Ming ChenGeng‐Long Hsu
- Topics
- Lung Cancer Diagnosis and Treatment (14 papers)Radiomics and Machine Learning in Medical Imaging (10 papers)Medical Imaging Techniques and Applications (4 papers)
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Yi‐Chang Chen
40 papers receiving 475 citations
Peers
Comparison fields: 5 of 86
- Pulmonary and Respiratory Medicine 176
- Materials Chemistry 117
- Radiology, Nuclear Medicine and Imaging 115
- Spectroscopy 95
- Surgery 85
Countries citing papers authored by Yi‐Chang Chen
This map shows the geographic impact of Yi‐Chang 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 Yi‐Chang Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi‐Chang Chen more than expected).
Fields of papers citing papers by Yi‐Chang Chen
This network shows the impact of papers produced by Yi‐Chang 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 Yi‐Chang Chen. The network helps show where Yi‐Chang Chen may publish in the future.
Co-authorship network of co-authors of Yi‐Chang Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Yi‐Chang Chen. A scholar is included among the top collaborators of Yi‐Chang 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 Yi‐Chang Chen. Yi‐Chang Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 10 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 13 | |
| 11 | 11 | |
| 12 | 24 | |
| 13 | 15 | |
| 14 | 6 | |
| 15 | Herd Behavior and Rational Expectations: A Test of China’s Market Using Quantile Regression | 12 |
| 16 | 16 | |
| 17 | 1 | |
| 18 | 22 | |
| 19 | 16 | |
| 20 | 42 |
About Yi‐Chang Chen
Yi‐Chang Chen is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Urology, having authored 44 papers that have together received 484 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (14 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Medical Imaging Techniques and Applications (4 papers). The work is most often cited by research in Spectroscopy (95 citations), Pulmonary and Respiratory Medicine (176 citations) and Radiology, Nuclear Medicine and Imaging (115 citations). Yi‐Chang Chen has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Song Song, Yan‐Song Zheng, Chang‐Hong Shen, Hai‐Tao Feng, Yeun‐Chung Chang, Cheng‐Hsing Hsieh, Chung‐Ming Chen, Geng‐Long Hsu, Shyh‐Chyan Chen and Hsien‐Sheng Wen. Their work appears in journals such as PLoS ONE, Scientific Reports and Expert Systems with Applications.
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.