Ji Dai
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
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- Photoreceptor and optogenetics research
- Neuroscience and Neural Engineering
- Neuroscience and Neuropharmacology Research
Papers in
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- Neuroscience and Neural Engineering 7
- Photoreceptor and optogenetics research 7
- Neuroscience and Neuropharmacology Research 5
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- Neural dynamics and brain function 9
- Visual perception and processing mechanisms 3
- EEG and Brain-Computer Interfaces 3
- Co-authors
- David L. Sheinberg (2 shared papers)Daniel I. Brooks (2 shared papers)Yi Wang (2 shared papers)Zhiting Zhang (11 shared papers)Hong Yuan (1 shared paper)Wenying Li (1 shared paper)Zhonghua Lu (3 shared papers)Xiyong Wang (1 shared paper)
- Journals
- Neuroscience Bulletin (6 papers)The Innovation (4 papers)Neuron (2 papers)ACS Nano (2 papers)Frontiers in Oncology (2 papers)
- Partner nations
- ChinaUnited StatesSpain
In The Last Decade
Ji Dai
45 papers receiving 1.7k citations
Ji Dai's Hit Papers
Peers
Comparison fields: 5 of 204
- Health Informatics 176
- Cellular and Molecular Neuroscience 263
- Cognitive Neuroscience 228
- Computer Science Applications 47
- Biological Psychiatry 18
Countries citing papers authored by Ji Dai
This map shows the geographic impact of Ji 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 Ji Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ji Dai more than expected).
Fields of papers citing papers by Ji Dai
This network shows the impact of papers produced by Ji 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 Ji Dai. The network helps show where Ji Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Ji 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Artificial intelligence: A powerful paradigm for scientific research Hit paper breakdown → | 2021 | 1148 |
| 2 | 2020 | 84 | |
| 3 | 2013 | 81 | |
| 4 | 2022 | 72 | |
| 5 | 2023 | 48 | |
| 6 | 2011 | 40 | |
| 7 | 2016 | 25 | |
| 8 | 2015 | 25 | |
| 9 | 2023 | 23 | |
| 10 | 2017 | 20 | |
| 11 | 2022 | 18 | |
| 12 | 2022 | 18 | |
| 13 | 2024 | 15 | |
| 14 | 2023 | 13 | |
| 15 | 2018 | 12 | |
| 16 | 2024 | 11 | |
| 17 | 2023 | 11 | |
| 18 | 2022 | 10 | |
| 19 | 2023 | 9 | |
| 20 | 2023 | 9 |
About Ji Dai
Ji Dai is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Sensory Systems, Condensed Matter Physics and Biological Psychiatry, having authored 53 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neural dynamics and brain function (9 papers), Neuroscience and Neural Engineering (7 papers), Photoreceptor and optogenetics research (7 papers), Neuroscience and Neuropharmacology Research (5 papers), Advanced Condensed Matter Physics (4 papers), Olfactory and Sensory Function Studies (3 papers), Visual perception and processing mechanisms (3 papers) and EEG and Brain-Computer Interfaces (3 papers). The work is most often cited by research in Health Informatics (176 citations), Cellular and Molecular Neuroscience (263 citations), Cognitive Neuroscience (228 citations), Computer Science Applications (47 citations) and Biological Psychiatry (18 citations). Ji Dai has collaborated with scholars based in China, United States and Spain. Frequent co-authors include David L. Sheinberg, Daniel I. Brooks, Yi Wang, Zhiting Zhang, Hong Yuan, Wenying Li, Zhonghua Lu, Xiyong Wang, Tao Chen and Hongen Jiang. Their work appears in journals such as Neuroscience Bulletin, The Innovation, Neuron, ACS Nano 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.