Qingjun Huang
Impact in
- Biological Psychiatry top 1%
- Tryptophan and brain disorders
- Behavioral Neuroscience top 2%
- Stress Responses and Cortisol
Papers in
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- Tryptophan and brain disorders 16
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- Stress Responses and Cortisol 13
- Co-authors
- Haiyun Xu (23 shared papers)Xudong Zou (6 shared papers)Yong Kang (6 shared papers)Donghai Zhu (4 shared papers)Jiming Kong (12 shared papers)Handi Zhang (12 shared papers)Haihong Li (4 shared papers)Renhua Wu (4 shared papers)
- Journals
- IEEE Transactions on Power Electronics (3 papers)Psychiatry Research (3 papers)Scientific Reports (2 papers)Electronics (2 papers)Behavioural Brain Research (2 papers)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Qingjun Huang
70 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 131
- Biological Psychiatry 238
- Behavioral Neuroscience 231
- Developmental Neuroscience 183
- Neurology 202
- Energy Engineering and Power Technology 37
Countries citing papers authored by Qingjun Huang
This map shows the geographic impact of Qingjun 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 Qingjun Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingjun Huang more than expected).
Fields of papers citing papers by Qingjun Huang
This network shows the impact of papers produced by Qingjun 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 Qingjun Huang. The network helps show where Qingjun Huang may publish in the future.
Co-authors
The 25 scholars most cited alongside Qingjun 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
Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 146 | |
| 2 | 2015 | 94 | |
| 3 | 2008 | 71 | |
| 4 | 2015 | 71 | |
| 5 | 2020 | 66 | |
| 6 | 2015 | 64 | |
| 7 | 2013 | 61 | |
| 8 | 2014 | 53 | |
| 9 | 2015 | 53 | |
| 10 | 2008 | 49 | |
| 11 | 2018 | 44 | |
| 12 | 2015 | 43 | |
| 13 | 2015 | 43 | |
| 14 | 2020 | 41 | |
| 15 | 2016 | 39 | |
| 16 | 2009 | 39 | |
| 17 | 2014 | 36 | |
| 18 | 2013 | 30 | |
| 19 | 2017 | 29 | |
| 20 | 2012 | 28 |
About Qingjun Huang
Qingjun Huang is a scholar working on Biological Psychiatry, Behavioral Neuroscience, Control and Systems Engineering, Developmental Neuroscience and Electrical and Electronic Engineering, having authored 73 papers that have together received 1.6k indexed citations. Recurring topics across this work include Tryptophan and brain disorders (16 papers), Stress Responses and Cortisol (13 papers), Neurogenesis and neuroplasticity mechanisms (12 papers), Neuroscience and Neuropharmacology Research (10 papers), Neuroinflammation and Neurodegeneration Mechanisms (9 papers), Multilevel Inverters and Converters (6 papers), Icing and De-icing Technologies (6 papers) and Microgrid Control and Optimization (6 papers). The work is most often cited by research in Biological Psychiatry (238 citations), Behavioral Neuroscience (231 citations), Developmental Neuroscience (183 citations), Neurology (202 citations) and Energy Engineering and Power Technology (37 citations). Qingjun Huang has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Haiyun Xu, Xudong Zou, Yong Kang, Donghai Zhu, Jiming Kong, Handi Zhang, Haihong Li, Renhua Wu, Shiying Zhou and Gen Yan. Their work appears in journals such as IEEE Transactions on Power Electronics, Psychiatry Research, Scientific Reports, Electronics and Behavioural Brain Research.
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.