Na Hu
- Biological Psychiatry top 5%
- Tryptophan and brain disorders 6
- Cognitive Neuroscience top 5%
- Functional Brain Connectivity Studies 15
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- Advanced Neuroimaging Techniques and Applications 12
- Signal Processing top 5%
- Music and Audio Processing 8
- Speech and Audio Processing 7
- Developmental Neuroscience top 10%
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- Schizophrenia research and treatment 12
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- Speech Recognition and Synthesis 10
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- Epigenetics and DNA Methylation 7
- Co-authors
- Su LuiMarianne Bronner‐FraserQiyong GongPablo H. Strobl‐MazzullaWenjing ZhangHui MaYuan XiaoJianlong Wang
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Na Hu
129 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 171
- Biological Psychiatry 113
- Cognitive Neuroscience 342
- Radiology, Nuclear Medicine and Imaging 393
- Signal Processing 162
- Developmental Neuroscience 59
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 4 | |
| 9 | 2024 | 0 | |
| 10 | 2024 | 4 | |
| 11 | 2024 | 0 | |
| 12 | 2023 | 0 | |
| 13 | 2023 | 3 | |
| 14 | 2022 | 6 | |
| 15 | 2022 | 1 | |
| 16 | 2021 | 11 | |
| 17 | 2021 | 8 | |
| 18 | 2020 | 11 | |
| 19 | 2017 | 4 | |
| 20 | 2016 | 43 |
About Na Hu
Na Hu is a scholar working on Biological Psychiatry, Computational Mathematics, Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Psychiatry and Mental health, having authored 149 papers that have together received 2.1k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (15 papers), Advanced Neuroimaging Techniques and Applications (12 papers), Schizophrenia research and treatment (12 papers), Speech Recognition and Synthesis (10 papers), Music and Audio Processing (8 papers), Speech and Audio Processing (7 papers), Epigenetics and DNA Methylation (7 papers) and Tryptophan and brain disorders (6 papers). The work is most often cited by research in Biological Psychiatry (113 citations), Cognitive Neuroscience (342 citations), Radiology, Nuclear Medicine and Imaging (393 citations), Signal Processing (162 citations) and Developmental Neuroscience (59 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, Jianlong Wang, Sihang Li and Leina Dou. Their work appears in journals such as Frontiers in Psychiatry, European Radiology, PLoS ONE, Schizophrenia Research and Cerebral Cortex.
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.