Li Huang
- Biological Psychiatry top 2%
- Tryptophan and brain disorders 6
- Cognitive Neuroscience top 1%
- Functional Brain Connectivity Studies 50
- Neural dynamics and brain function 5
- Psychiatry and Mental health top 1%
- Bipolar Disorder and Treatment 26
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- Mental Health Research Topics 12
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- Advanced Neuroimaging Techniques and Applications 27
- Advanced MRI Techniques and Applications 20
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- Obsessive-Compulsive Spectrum Disorders 4
- Co-authors
- Ying WangShuming ZhongGuanmao ChenJunjing WangYanbin JiaJiaying GongPan ChenZhangzhang Qi
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Li Huang
75 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Biological Psychiatry 244
- Cognitive Neuroscience 1.6k
- Psychiatry and Mental health 957
- Experimental and Cognitive Psychology 548
- Radiology, Nuclear Medicine and Imaging 780
Countries citing papers authored by Li Huang
This map shows the geographic impact of Li 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 Li Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Huang more than expected).
Fields of papers citing papers by Li Huang
This network shows the impact of papers produced by Li 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 Li Huang. The network helps show where Li Huang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Li Huang, 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 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 14 | |
| 5 | 2024 | 27 | |
| 6 | Systematic review and meta-analysis: multimodal functional and anatomical neural alterations in autism spectrum disorderbreakdown → | 2024 | 45 |
| 7 | 2023 | 2 | |
| 8 | 2022 | 36 | |
| 9 | 2021 | 50 | |
| 10 | Common and distinct patterns of intrinsic brain activity alterations in major depression and bipolar disorder: voxel-based meta-analysisbreakdown → | 2020 | 222 |
| 11 | 2019 | 2 | |
| 12 | 2019 | 95 | |
| 13 | 2019 | 21 | |
| 14 | 2018 | 56 | |
| 15 | 2017 | 26 | |
| 16 | 2014 | 52 | |
| 17 | 2013 | 4 | |
| 18 | A 1H magnetic resonance spectroscopy imaging study on the prefrontal lobe and hippocampus in patients with bipolar depressive disorder | 2012 | 2 |
| 19 | 2012 | 35 | |
| 20 | 2004 | 27 |
About Li Huang
Li Huang is a scholar working on Cognitive Neuroscience, Biological Psychiatry and Psychiatry and Mental health, having authored 78 papers that have together received 2.4k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (50 papers), Advanced Neuroimaging Techniques and Applications (27 papers), Bipolar Disorder and Treatment (26 papers), Advanced MRI Techniques and Applications (20 papers), Mental Health Research Topics (12 papers), Tryptophan and brain disorders (6 papers), Neural dynamics and brain function (5 papers) and Obsessive-Compulsive Spectrum Disorders (4 papers). The work is most often cited by research in Biological Psychiatry (244 citations), Cognitive Neuroscience (1.6k citations) and Psychiatry and Mental health (957 citations). Li Huang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Ying Wang, Shuming Zhong, Guanmao Chen, Junjing Wang, Yanbin Jia, Jiaying Gong, Pan Chen, Zhangzhang Qi, Ruiwang Huang and Zhenye Luo. Their work appears in journals such as PLoS ONE, Journal of Power Sources and Scientific Reports.
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.