Hui An
Impact in
- Soil Science top 5%
- Soil Carbon and Nitrogen Dynamics
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces
Papers in
- Soil Science 15
- Soil Carbon and Nitrogen Dynamics 14
-
- Ecology and Vegetation Dynamics Studies 12
- Co-authors
- Zoran Nenadić (14 shared papers)Po T. Wang (15 shared papers)Christine King (6 shared papers)Zhuangsheng Tang (8 shared papers)Zhouping Shangguan (10 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)Buildings (2 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Hui An
87 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 128
- Soil Science 291
- Cognitive Neuroscience 485
- Cellular and Molecular Neuroscience 314
- Nature and Landscape Conservation 137
- Rehabilitation 67
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 93 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 147 | |
| 2 | 2011 | 105 | |
| 3 | 2022 | 88 | |
| 4 | 2022 | 81 | |
| 5 | 2015 | 80 | |
| 6 | 2013 | 72 | |
| 7 | 2019 | 71 | |
| 8 | 2012 | 50 | |
| 9 | 2016 | 50 | |
| 10 | 2019 | 49 | |
| 11 | 2014 | 48 | |
| 12 | 2016 | 47 | |
| 13 | 2017 | 46 | |
| 14 | 2016 | 44 | |
| 15 | 2018 | 35 | |
| 16 | 2015 | 34 | |
| 17 | 2014 | 27 | |
| 18 | 2022 | 20 | |
| 19 | 2024 | 19 | |
| 20 | 2022 | 18 |
About Hui An
Hui An is a scholar working on Soil Science, Nature and Landscape Conservation, Ecology, Cognitive Neuroscience and Management, Monitoring, Policy and Law, having authored 93 papers that have together received 1.5k indexed citations. Recurring topics across this work include Soil Carbon and Nitrogen Dynamics (14 papers), EEG and Brain-Computer Interfaces (14 papers), Ecology and Vegetation Dynamics Studies (12 papers), Plant Ecology and Soil Science (10 papers), Rangeland Management and Livestock Ecology (8 papers), Land Use and Ecosystem Services (6 papers), Building Energy and Comfort Optimization (5 papers) and Neuroscience and Neural Engineering (5 papers). The work is most often cited by research in Soil Science (291 citations), Cognitive Neuroscience (485 citations), Cellular and Molecular Neuroscience (314 citations), Nature and Landscape Conservation (137 citations) and Rehabilitation (67 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, Zhuangsheng Tang, Zhouping Shangguan, Luis A. Chui, Guoqi Li, Sophia Chun, Jin Huang and Asif Razzaq. Their work appears in journals such as Journal of Neural Engineering, Ecological Engineering, Journal of NeuroEngineering and Rehabilitation, Land Degradation and Development and Buildings.
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.