Danni Li
Impact in
- Biomedical Engineering top 10%
- Catalysis for Biomass Conversion
- Ultrasound and Hyperthermia Applications
- Photoacoustic and Ultrasonic Imaging
- 3D Printing in Biomedical Research
Papers in
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- Catalysis for Biomass Conversion 4
- Ultrasound and Hyperthermia Applications 2
- Thermochemical Biomass Conversion Processes 2
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- EEG and Brain-Computer Interfaces 2
- Co-authors
- Mo Qiu (1 shared paper)Tian‐Meng Guo (1 shared paper)Xinhua Qi (1 shared paper)Haoran Yuan (3 shared papers)Jun Zhang (2 shared papers)Jiejun Zhu (3 shared papers)Xuandi Hou (3 shared papers)Zhihai Qiu (3 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Nature Communications (1 paper)Journal of Biomaterials Applications (1 paper)Advanced Healthcare Materials (1 paper)Phenomenology and the Cognitive Sciences (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Danni Li
18 papers receiving 420 citations
Peers
Comparison fields: 5 of 80
- Biomedical Engineering 293
- Neurology 23
- Inorganic Chemistry 36
- Cellular and Molecular Neuroscience 44
- Mechanical Engineering 81
Countries citing papers authored by Danni Li
This map shows the geographic impact of Danni Li'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 Danni Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danni Li more than expected).
Fields of papers citing papers by Danni Li
This network shows the impact of papers produced by Danni Li. 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 Danni Li. The network helps show where Danni Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Danni Li, 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 | 2023 | 91 | |
| 2 | 2020 | 75 | |
| 3 | 2023 | 49 | |
| 4 | 2020 | 31 | |
| 5 | 2020 | 31 | |
| 6 | 2021 | 29 | |
| 7 | 2024 | 26 | |
| 8 | 2019 | 26 | |
| 9 | 2024 | 23 | |
| 10 | 2018 | 19 | |
| 11 | 2019 | 8 | |
| 12 | 2023 | 6 | |
| 13 | Classifying emotional EEG using sparse representation method | 2019 | 3 |
| 14 | 2025 | 3 | |
| 15 | 2019 | 2 | |
| 16 | 2022 | 2 | |
| 17 | 2006 | 2 | |
| 18 | 2018 | 2 | |
| 19 | 2024 | 0 |
About Danni Li
Danni Li is a scholar working on Biomedical Engineering, Cognitive Neuroscience, Mechanical Engineering, Surgery and Cellular and Molecular Neuroscience, having authored 19 papers that have together received 428 indexed citations. Recurring topics across this work include Catalysis and Hydrodesulfurization Studies (4 papers), Catalysis for Biomass Conversion (4 papers), Ultrasound and Hyperthermia Applications (2 papers), Thermochemical Biomass Conversion Processes (2 papers), Recycling and utilization of industrial and municipal waste in materials production (2 papers), EEG and Brain-Computer Interfaces (2 papers), Supercapacitor Materials and Fabrication (2 papers) and Catalysts for Methane Reforming (2 papers). The work is most often cited by research in Biomedical Engineering (293 citations), Neurology (23 citations), Inorganic Chemistry (36 citations), Cellular and Molecular Neuroscience (44 citations) and Mechanical Engineering (81 citations). Danni Li has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Mo Qiu, Tian‐Meng Guo, Xinhua Qi, Haoran Yuan, Jun Zhang, Jiejun Zhu, Xuandi Hou, Zhihai Qiu, Lei Sun and Quanxiang Xian. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications, Journal of Biomaterials Applications, Advanced Healthcare Materials and Phenomenology and the Cognitive Sciences.
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.