Yali Huang
- Molecular Biology top 10%
- Materials Chemistry
- Cognitive Neuroscience top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Electrical and Electronic Engineering
- Co-authors
- Valerie WilsonFilip J. WymeerschAnestis TsakiridisShao‐Wei BianJames BriscoeJens KleinjungMina GoutiRodrigo Osorno
- Topics
- Luminescence and Fluorescent Materials (7 papers)Functional Brain Connectivity Studies (6 papers)Advanced Neuroimaging Techniques and Applications (6 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyNature Communications
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Yali Huang
107 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 185
- Molecular Biology 1.1k
- Materials Chemistry 347
- Cognitive Neuroscience 343
- Radiology, Nuclear Medicine and Imaging 317
- Electrical and Electronic Engineering 245
Countries citing papers authored by Yali Huang
This map shows the geographic impact of Yali Huang'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 Yali Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yali Huang more than expected).
Fields of papers citing papers by Yali Huang
This network shows the impact of papers produced by Yali Huang. 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 Yali Huang. The network helps show where Yali Huang may publish in the future.
Co-authorship network of co-authors of Yali Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Yali Huang. A scholar is included among the top collaborators of Yali Huang 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 Yali Huang. Yali Huang 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 | 1 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 13 | |
| 9 | 4 | |
| 10 | 1 | |
| 11 | 18 | |
| 12 | 26 | |
| 13 | 65 | |
| 14 | 20 | |
| 15 | 15 | |
| 16 | 21 | |
| 17 | 141 | |
| 18 | Self-Correlation and PSD Analysis of Surface Lapping with Abrasive Jet Flow Restricted by Grinding Wheel | 1 |
| 19 | Fatty liver ultrasonic image recognition based on wavelet transform | 1 |
| 20 | Determination of cyazofamid residues in cucumber and soil by high effective liquid phase chromatography | 4 |
About Yali Huang
Yali Huang is a scholar working on Media Technology, Biophysics and Radiological and Ultrasound Technology, having authored 119 papers that have together received 2.8k indexed citations. Recurring topics across this work include Luminescence and Fluorescent Materials (7 papers), Functional Brain Connectivity Studies (6 papers) and Advanced Neuroimaging Techniques and Applications (6 papers). The work is most often cited by research in Developmental Neuroscience (143 citations), Cognitive Neuroscience (343 citations) and Molecular Biology (1.1k citations). Yali Huang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Valerie Wilson, Filip J. Wymeersch, Anestis Tsakiridis, Shao‐Wei Bian, James Briscoe, Jens Kleinjung, Mina Gouti, Rodrigo Osorno, Yuh‐Shan Ho and Kun‐Yang Chuang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nature Communications.
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.