Dingkun Liu
Impact in
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- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
Papers in
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- Advanced Memory and Neural Computing 4
- Islanding Detection in Power Systems 2
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- EEG and Brain-Computer Interfaces 4
- Neural dynamics and brain function 3
- Co-authors
- Bo Hong (6 shared papers)Jianshi Tang (2 shared papers)Peng Yao (2 shared papers)Huaqiang Wu (2 shared papers)Bin Gao (2 shared papers)Xinyi Li (2 shared papers)He Qian (2 shared papers)Zhengwu Liu (2 shared papers)
In The Last Decade
Dingkun Liu
18 papers receiving 363 citations
Peers
Comparison fields: 5 of 66
- Cellular and Molecular Neuroscience 116
- Cognitive Neuroscience 104
- Electrical and Electronic Engineering 261
- Energy Engineering and Power Technology 13
- Polymers and Plastics 32
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 | 144 | |
| 2 | 2020 | 57 | |
| 3 | 2022 | 34 | |
| 4 | 2011 | 24 | |
| 5 | 2012 | 24 | |
| 6 | 2017 | 15 | |
| 7 | 2025 | 14 | |
| 8 | 2022 | 13 | |
| 9 | 2023 | 9 | |
| 10 | 2024 | 8 | |
| 11 | 2023 | 7 | |
| 12 | 2020 | 7 | |
| 13 | 2019 | 7 | |
| 14 | 2024 | 4 | |
| 15 | 2025 | 1 | |
| 16 | 2019 | 1 | |
| 17 | 2019 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 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 19 papers that have together received 371 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (4 papers), Neuroscience and Neural Engineering (4 papers), EEG and Brain-Computer Interfaces (4 papers), Neural dynamics and brain function (3 papers), Microgrid Control and Optimization (2 papers), Plant Gene Expression Analysis (2 papers), Plant and Fungal Species Descriptions (2 papers) and Islanding Detection in Power Systems (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (116 citations), Cognitive Neuroscience (104 citations), Electrical and Electronic Engineering (261 citations), Energy Engineering and Power Technology (13 citations) and Polymers and Plastics (32 citations). Dingkun Liu has collaborated with scholars based in China and Japan. Frequent co-authors include Bo Hong, Jianshi Tang, Peng Yao, Huaqiang Wu, Bin Gao, Xinyi Li, He Qian, Zhengwu Liu, Yaoqin Jia and Ying Zhou. Their work appears in journals such as International Journal of Molecular Sciences, IEEE Transactions on Biomedical Engineering, Carbohydrate Polymers, Food Science and Human Wellness 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.