Yueh‐Hsin Lin
- Cognitive Neuroscience top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Psychiatry and Mental health
- Experimental and Cognitive Psychology
- Neurology
- Co-authors
- Isabella M. YoungRobert G. BriggsOnur TanglayR. Dineth FonsekaJorge HormovasVukshitha DhanarajMichael E. SughrueAndrew K. Conner
- Topics
- Functional Brain Connectivity Studies (13 papers)Advanced Neuroimaging Techniques and Applications (13 papers)Advanced MRI Techniques and Applications (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsPsychiatry Research
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Yueh‐Hsin Lin
18 papers receiving 497 citations
Peers
Comparison fields: 5 of 83
- Cognitive Neuroscience 321
- Radiology, Nuclear Medicine and Imaging 166
- Psychiatry and Mental health 81
- Experimental and Cognitive Psychology 45
- Neurology 44
Countries citing papers authored by Yueh‐Hsin Lin
This map shows the geographic impact of Yueh‐Hsin Lin'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 Yueh‐Hsin Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yueh‐Hsin Lin more than expected).
Fields of papers citing papers by Yueh‐Hsin Lin
This network shows the impact of papers produced by Yueh‐Hsin Lin. 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 Yueh‐Hsin Lin. The network helps show where Yueh‐Hsin Lin may publish in the future.
Co-authorship network of co-authors of Yueh‐Hsin Lin
This figure shows the co-authorship network connecting the top 25 collaborators of Yueh‐Hsin Lin. A scholar is included among the top collaborators of Yueh‐Hsin Lin 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 Yueh‐Hsin Lin. Yueh‐Hsin Lin 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 | 5 | |
| 3 | 14 | |
| 4 | 8 | |
| 5 | 1 | |
| 6 | 19 | |
| 7 | 70 | |
| 8 | 69 | |
| 9 | 16 | |
| 10 | 36 | |
| 11 | 11 | |
| 12 | 33 | |
| 13 | 22 | |
| 14 | 11 | |
| 15 | 20 | |
| 16 | 101 | |
| 17 | 16 | |
| 18 | 18 | |
| 19 | 28 |
About Yueh‐Hsin Lin
Yueh‐Hsin Lin is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Internal Medicine, having authored 19 papers that have together received 498 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (13 papers), Advanced Neuroimaging Techniques and Applications (13 papers) and Advanced MRI Techniques and Applications (4 papers). The work is most often cited by research in Cognitive Neuroscience (321 citations), Radiology, Nuclear Medicine and Imaging (166 citations) and Psychiatry and Mental health (81 citations). Yueh‐Hsin Lin has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Isabella M. Young, Robert G. Briggs, Onur Tanglay, R. Dineth Fonseka, Jorge Hormovas, Vukshitha Dhanaraj, Michael E. Sughrue, Andrew K. Conner, Michael Y. Bai and Arpan R. Chakraborty. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Psychiatry Research.
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.