Fang‐Cheng Yeh
- Radiology, Nuclear Medicine and Imaging top 0.1%
- Cognitive Neuroscience top 0.5%
- Neurology top 0.5%
- Pediatrics, Perinatology and Child Health top 1%
- Cellular and Molecular Neuroscience top 2%
- Co-authors
- Wen‐Yih Isaac TsengJuan C. Fernandez‐MirandaTimothy VerstynenVan J. WedeenYibao WangSandip S. PanesarSudhir PathakAntonio Meola
- Topics
- Advanced Neuroimaging Techniques and Applications (95 papers)Advanced MRI Techniques and Applications (49 papers)Functional Brain Connectivity Studies (41 papers)
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- United StatesTaiwanChina
In The Last Decade
Fang‐Cheng Yeh
113 papers receiving 6.8k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Radiology, Nuclear Medicine and Imaging 4.7k
- Cognitive Neuroscience 2.8k
- Neurology 1.4k
- Pediatrics, Perinatology and Child Health 933
- Cellular and Molecular Neuroscience 670
Countries citing papers authored by Fang‐Cheng Yeh
This map shows the geographic impact of Fang‐Cheng Yeh'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 Fang‐Cheng Yeh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fang‐Cheng Yeh more than expected).
Fields of papers citing papers by Fang‐Cheng Yeh
This network shows the impact of papers produced by Fang‐Cheng Yeh. 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 Fang‐Cheng Yeh. The network helps show where Fang‐Cheng Yeh may publish in the future.
Co-authorship network of co-authors of Fang‐Cheng Yeh
This figure shows the co-authorship network connecting the top 25 collaborators of Fang‐Cheng Yeh. A scholar is included among the top collaborators of Fang‐Cheng Yeh 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 Fang‐Cheng Yeh. Fang‐Cheng Yeh 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 | 1 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 25 | |
| 7 | 9 | |
| 8 | 25 | |
| 9 | 10 | |
| 10 | 45 | |
| 11 | 7 | |
| 12 | 49 | |
| 13 | 77 | |
| 14 | 64 | |
| 15 | 2 | |
| 16 | 131 | |
| 17 | Population-averaged atlas of the macroscale human structural connectome and its network topologybreakdown → | 389 |
| 18 | 19 | |
| 19 | 73 | |
| 20 | 35 |
About Fang‐Cheng Yeh
Fang‐Cheng Yeh is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Biological Psychiatry, having authored 120 papers that have together received 6.9k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (95 papers), Advanced MRI Techniques and Applications (49 papers) and Functional Brain Connectivity Studies (41 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (4.7k citations), Cognitive Neuroscience (2.8k citations) and Neurology (1.4k citations). Fang‐Cheng Yeh has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Wen‐Yih Isaac Tseng, Juan C. Fernandez‐Miranda, Timothy Verstynen, Van J. Wedeen, Yibao Wang, Sandip S. Panesar, Sudhir Pathak, Antonio Meola, David Fernandes and Kumar Abhinav. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.
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.