Tian Liu
- Radiology, Nuclear Medicine and Imaging top 1%
- Cognitive Neuroscience top 5%
- Biomedical Engineering top 10%
- Molecular Biology
- Neurology top 5%
- Co-authors
- Yi WangPascal SpincemailleLudovic de RochefortJing LiuJames LedouxIldar KhalidovJue WangMartin R. Prince
- Topics
- Functional Brain Connectivity Studies (14 papers)Neural dynamics and brain function (12 papers)EEG and Brain-Computer Interfaces (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONENeuroImage
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Tian Liu
99 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Radiology, Nuclear Medicine and Imaging 1.1k
- Cognitive Neuroscience 562
- Biomedical Engineering 261
- Molecular Biology 220
- Neurology 215
Countries citing papers authored by Tian Liu
This map shows the geographic impact of Tian Liu'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 Tian Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tian Liu more than expected).
Fields of papers citing papers by Tian Liu
This network shows the impact of papers produced by Tian Liu. 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 Tian Liu. The network helps show where Tian Liu may publish in the future.
Co-authorship network of co-authors of Tian Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Tian Liu. A scholar is included among the top collaborators of Tian Liu 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 Tian Liu. Tian Liu 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 | 0 | |
| 3 | 25 | |
| 4 | 18 | |
| 5 | 0 | |
| 6 | 15 | |
| 7 | 7 | |
| 8 | 4 | |
| 9 | 24 | |
| 10 | 0 | |
| 11 | 35 | |
| 12 | 2 | |
| 13 | 20 | |
| 14 | 26 | |
| 15 | 19 | |
| 16 | 75 | |
| 17 | Embedded audio-video synchronization coding based on H.264 | 1 |
| 18 | Morphology enabled dipole inversion for quantitative susceptibility mapping using structural consistency between the magnitude image and the susceptibility mapbreakdown → | 382 |
| 19 | 11 | |
| 20 | 16 |
About Tian Liu
Tian Liu is a scholar working on Neurology, Computational Mathematics and Cognitive Neuroscience, having authored 108 papers that have together received 2.4k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (14 papers), Neural dynamics and brain function (12 papers) and EEG and Brain-Computer Interfaces (12 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.1k citations), Cognitive Neuroscience (562 citations) and Neurology (215 citations). Tian Liu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yi Wang, Pascal Spincemaille, Ludovic de Rochefort, Jing Liu, James Ledoux, Ildar Khalidov, Jue Wang, Martin R. Prince, Xiaofeng Yang and Apostolos John Tsiouris. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.
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.