Li‐Fen Chen
About
In The Last Decade
Li‐Fen Chen
169 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Computer Vision and Pattern Recognition 1.1k
- Cognitive Neuroscience 991
- Molecular Biology 562
- Psychiatry and Mental health 424
- Public Health, Environmental and Occupational Health 412
Countries citing papers authored by Li‐Fen Chen
This map shows the geographic impact of Li‐Fen 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 Li‐Fen Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li‐Fen Chen more than expected).
Fields of papers citing papers by Li‐Fen Chen
This network shows the impact of papers produced by Li‐Fen 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 Li‐Fen Chen. The network helps show where Li‐Fen Chen may publish in the future.
Co-authorship network of co-authors of Li‐Fen Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Li‐Fen Chen. A scholar is included among the top collaborators of Li‐Fen 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 Li‐Fen Chen. Li‐Fen 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 | 1 | |
| 3 | 7 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 3 | |
| 10 | 5 | |
| 11 | 12 | |
| 12 | 6 | |
| 13 | 14 | |
| 14 | 5 | |
| 15 | 22 | |
| 16 | 31 | |
| 17 | 11 | |
| 18 | 11 | |
| 19 | 48 | |
| 20 | Quantitative Evaluation of Brain Magnetic Resonance Images Using Voxel-based Morphometry and Bayesian Theorem for Patients with Bipolar Disorder | 3 |
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.