Na Hu
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
- Signal Processing top 5%
- Speech and Audio Processing
Papers in
-
- Advanced Neuroimaging Techniques and Applications 10
-
- Epigenetics and DNA Methylation 5
- Co-authors
- Su Lui (24 shared papers)Marianne Bronner‐Fraser (4 shared papers)Qiyong Gong (19 shared papers)Pablo H. Strobl‐Mazzulla (3 shared papers)Wenjing Zhang (14 shared papers)Hui Ma (4 shared papers)Yuan Xiao (17 shared papers)Chengyuan Yang (1 shared paper)
- Journals
- Frontiers in Psychiatry (6 papers)PLoS ONE (3 papers)European Radiology (3 papers)Developmental Biology (2 papers)Brain and Behavior (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Na Hu
138 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 173
- Biological Psychiatry 104
- Signal Processing 166
- Cognitive Neuroscience 270
- Developmental Neuroscience 52
- Radiology, Nuclear Medicine and Imaging 274
Countries citing papers authored by Na Hu
This map shows the geographic impact of Na Hu'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 Na Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Na Hu more than expected).
Fields of papers citing papers by Na Hu
This network shows the impact of papers produced by Na Hu. 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 Na Hu. The network helps show where Na Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Na Hu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 151 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 238 | |
| 2 | 2019 | 144 | |
| 3 | 2013 | 105 | |
| 4 | 2014 | 67 | |
| 5 | 2012 | 63 | |
| 6 | 2017 | 61 | |
| 7 | 2020 | 57 | |
| 8 | 2020 | 48 | |
| 9 | 2020 | 48 | |
| 10 | 2016 | 45 | |
| 11 | 2022 | 40 | |
| 12 | 2014 | 39 | |
| 13 | 2021 | 38 | |
| 14 | 2021 | 37 | |
| 15 | 2021 | 36 | |
| 16 | 2022 | 35 | |
| 17 | 2019 | 35 | |
| 18 | 2021 | 30 | |
| 19 | 2020 | 30 | |
| 20 | 2021 | 30 |
About Na Hu
Na Hu is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Cognitive Neuroscience, Artificial Intelligence and Signal Processing, having authored 151 papers that have together received 2.2k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (10 papers), Speech Recognition and Synthesis (10 papers), Functional Brain Connectivity Studies (9 papers), Schizophrenia research and treatment (8 papers), Music and Audio Processing (8 papers), Speech and Audio Processing (7 papers), Tryptophan and brain disorders (6 papers) and Epigenetics and DNA Methylation (5 papers). The work is most often cited by research in Biological Psychiatry (104 citations), Signal Processing (166 citations), Cognitive Neuroscience (270 citations), Developmental Neuroscience (52 citations) and Radiology, Nuclear Medicine and Imaging (274 citations). Na Hu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Su Lui, Marianne Bronner‐Fraser, Qiyong Gong, Pablo H. Strobl‐Mazzulla, Wenjing Zhang, Hui Ma, Yuan Xiao, Chengyuan Yang, Wentao Zhang and Sihang Li. Their work appears in journals such as Frontiers in Psychiatry, PLoS ONE, European Radiology, Developmental Biology and Brain and Behavior.
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.