Dingkun Liu
Impact in
-
- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
Papers in
-
- Advanced Memory and Neural Computing 4
-
- EEG and Brain-Computer Interfaces 4
- Neural dynamics and brain function 3
- Co-authors
- Bo Hong (6 shared papers)Jianshi Tang (2 shared papers)He Qian (2 shared papers)Xinyi Li (2 shared papers)Zhengwu Liu (2 shared papers)Huaqiang Wu (2 shared papers)Bin Gao (2 shared papers)Peng Yao (2 shared papers)
- Journals
- International Journal of Molecular Sciences (2 papers)Nature Communications (1 paper)NeuroImage (1 paper)Macromolecular Bioscience (1 paper)Science Advances (1 paper)
- Partner nations
- China
In The Last Decade
Dingkun Liu
18 papers receiving 334 citations
Peers
Comparison fields: 5 of 65
- Cellular and Molecular Neuroscience 117
- Cognitive Neuroscience 105
- Electrical and Electronic Engineering 252
- Energy Engineering and Power Technology 13
- Polymers and Plastics 31
Countries citing papers authored by Dingkun Liu
This map shows the geographic impact of Dingkun Liu'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 Dingkun Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dingkun Liu more than expected).
Fields of papers citing papers by Dingkun Liu
This network shows the impact of papers produced by Dingkun Liu. 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 Dingkun Liu. The network helps show where Dingkun Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Dingkun Liu, 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 | 2020 | 135 | |
| 2 | 2020 | 55 | |
| 3 | 2022 | 28 | |
| 4 | 2011 | 23 | |
| 5 | 2012 | 21 | |
| 6 | 2017 | 14 | |
| 7 | 2025 | 12 | |
| 8 | 2022 | 12 | |
| 9 | 2024 | 8 | |
| 10 | 2023 | 7 | |
| 11 | 2019 | 7 | |
| 12 | 2020 | 7 | |
| 13 | 2023 | 6 | |
| 14 | 2024 | 4 | |
| 15 | 2025 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2019 | 1 | |
| 18 | 2019 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Dingkun Liu
Dingkun Liu is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience, Molecular Biology, Cellular and Molecular Neuroscience and Ecology, Evolution, Behavior and Systematics, having authored 20 papers that have together received 343 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (5 papers), EEG and Brain-Computer Interfaces (4 papers), Advanced Memory and Neural Computing (4 papers), Neural dynamics and brain function (3 papers), Gaze Tracking and Assistive Technology (2 papers), Plant Molecular Biology Research (2 papers), Plant and Fungal Species Descriptions (2 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (117 citations), Cognitive Neuroscience (105 citations), Electrical and Electronic Engineering (252 citations), Energy Engineering and Power Technology (13 citations) and Polymers and Plastics (31 citations). Dingkun Liu has collaborated with scholars based in China. Frequent co-authors include Bo Hong, Jianshi Tang, He Qian, Xinyi Li, Zhengwu Liu, Huaqiang Wu, Bin Gao, Peng Yao, Yaoqin Jia and Ying Zhou. Their work appears in journals such as International Journal of Molecular Sciences, Nature Communications, NeuroImage, Macromolecular Bioscience and Science Advances.
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.