Hui Dai
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
- Ophthalmology top 2%
- Glaucoma and retinal disorders
Papers in
-
- VLSI and FPGA Design Techniques 7
- Advancements in Battery Materials 7
- Advanced Battery Materials and Technologies 7
-
- Functional Brain Connectivity Studies 8
- Co-authors
- Bin Zhao (7 shared papers)Lan Du (6 shared papers)Yan Wang (4 shared papers)Zhaocheng Wang (2 shared papers)Yonggang Li (13 shared papers)John N. Morelli (3 shared papers)Dazhi Yin (2 shared papers)Dongrong Xu (2 shared papers)
- Journals
- Neuroradiology (4 papers)Building Simulation (3 papers)Energies (3 papers)Journal of Magnetic Resonance Imaging (2 papers)Frontiers in Oncology (2 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Hui Dai
91 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 145
- Modeling and Simulation 110
- Ophthalmology 183
- Pulmonary and Respiratory Medicine 356
- Building and Construction 139
- Radiology, Nuclear Medicine and Imaging 203
Countries citing papers authored by Hui Dai
This map shows the geographic impact of Hui Dai'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 Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui Dai more than expected).
Fields of papers citing papers by Hui Dai
This network shows the impact of papers produced by Hui Dai. 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 Dai. The network helps show where Hui Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Hui Dai, 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 102 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 295 | |
| 2 | 2016 | 127 | |
| 3 | 2012 | 112 | |
| 4 | 2020 | 100 | |
| 5 | 2012 | 63 | |
| 6 | 2011 | 62 | |
| 7 | 2012 | 54 | |
| 8 | 2022 | 47 | |
| 9 | 2016 | 45 | |
| 10 | 2021 | 44 | |
| 11 | 2022 | 42 | |
| 12 | 2023 | 39 | |
| 13 | 2017 | 39 | |
| 14 | 2020 | 39 | |
| 15 | 2019 | 36 | |
| 16 | 2020 | 36 | |
| 17 | 2020 | 35 | |
| 18 | 2019 | 30 | |
| 19 | 2013 | 29 | |
| 20 | 2021 | 26 |
About Hui Dai
Hui Dai is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Hardware and Architecture and Psychiatry and Mental health, having authored 102 papers that have together received 1.9k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (8 papers), VLSI and FPGA Design Techniques (7 papers), Advancements in Battery Materials (7 papers), Advanced Battery Materials and Technologies (7 papers), VLSI and Analog Circuit Testing (6 papers), Supercapacitor Materials and Fabrication (6 papers), Microgrid Control and Optimization (5 papers) and Embedded Systems Design Techniques (5 papers). The work is most often cited by research in Modeling and Simulation (110 citations), Ophthalmology (183 citations), Pulmonary and Respiratory Medicine (356 citations), Building and Construction (139 citations) and Radiology, Nuclear Medicine and Imaging (203 citations). Hui Dai has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Bin Zhao, Lan Du, Yan Wang, Zhaocheng Wang, Yonggang Li, John N. Morelli, Dazhi Yin, Dongrong Xu, Chunhong Hu and Ketao Mu. Their work appears in journals such as Neuroradiology, Building Simulation, Energies, Journal of Magnetic Resonance Imaging and Frontiers in Oncology.
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.