Hui An
Impact in
- Soil Science top 5%
- Soil Carbon and Nitrogen Dynamics
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces
Papers in ⓘ
- Ecology 21
- Plant Ecology and Soil Science 12
- Soil Science 17
- Soil Carbon and Nitrogen Dynamics 16
- Co-authors
- Zoran Nenadić (14 shared papers)Po T. Wang (15 shared papers)Christine King (6 shared papers)Zhouping Shangguan (11 shared papers)Zhuangsheng Tang (8 shared papers)Luis A. Chui (4 shared papers)Guoqi Li (2 shared papers)Sophia Chun (1 shared paper)
- Journals
- Journal of Neural Engineering (6 papers)Ecological Engineering (5 papers)Journal of NeuroEngineering and Rehabilitation (4 papers)Land Degradation and Development (3 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Hui An
92 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 129
- Soil Science 276
- Cognitive Neuroscience 457
- Cellular and Molecular Neuroscience 324
- Human-Computer Interaction 70
- Nature and Landscape Conservation 139
Countries citing papers authored by Hui An
This map shows the geographic impact of Hui An'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 Hui An with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui An more than expected).
Fields of papers citing papers by Hui An
This network shows the impact of papers produced by Hui An. 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 Hui An. The network helps show where Hui An may publish in the future.
Co-authors
The 25 scholars most cited alongside Hui An, 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 104 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 127 | |
| 2 | 2011 | 96 | |
| 3 | 2022 | 81 | |
| 4 | 2022 | 70 | |
| 5 | 2015 | 70 | |
| 6 | 2013 | 68 | |
| 7 | 2019 | 61 | |
| 8 | 2016 | 47 | |
| 9 | 2016 | 46 | |
| 10 | 2014 | 45 | |
| 11 | 2017 | 44 | |
| 12 | 2016 | 43 | |
| 13 | 2019 | 43 | |
| 14 | 2012 | 39 | |
| 15 | 2018 | 33 | |
| 16 | 2015 | 32 | |
| 17 | 2014 | 27 | |
| 18 | 2022 | 18 | |
| 19 | 2014 | 18 | |
| 20 | 2018 | 18 |
About Hui An
Hui An is a scholar working on Ecology, Soil Science, Cognitive Neuroscience, Biomedical Engineering and Nature and Landscape Conservation, having authored 104 papers that have together received 1.3k indexed citations. Recurring topics across this work include Soil Carbon and Nitrogen Dynamics (16 papers), EEG and Brain-Computer Interfaces (15 papers), Plant Ecology and Soil Science (12 papers), Ecology and Vegetation Dynamics Studies (11 papers), Neuroscience and Neural Engineering (10 papers), Muscle activation and electromyography studies (10 papers), Rangeland Management and Livestock Ecology (8 papers) and Land Use and Ecosystem Services (5 papers). The work is most often cited by research in Soil Science (276 citations), Cognitive Neuroscience (457 citations), Cellular and Molecular Neuroscience (324 citations), Human-Computer Interaction (70 citations) and Nature and Landscape Conservation (139 citations). Hui An has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Zoran Nenadić, Po T. Wang, Christine King, Zhouping Shangguan, Zhuangsheng Tang, Luis A. Chui, Guoqi Li, Sophia Chun, Asif Razzaq and Chaker Aloui. Their work appears in journals such as Journal of Neural Engineering, Ecological Engineering, Journal of NeuroEngineering and Rehabilitation, Land Degradation and Development 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.