Yi Jin
Impact in
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Epidemiology top 10%
- Traumatic Brain Injury Research
Papers in
-
- IoT and Edge/Fog Computing 10
- Epidemiology 12
- Hepatitis B Virus Studies 6
- Traumatic Brain Injury Research 4
- Co-authors
- Zhuo Zou (17 shared papers)Yuxiang Huan (11 shared papers)Jin Hu (4 shared papers)Georg Northoff (4 shared papers)Xuehai Wu (4 shared papers)Liang Gao (4 shared papers)Ying Mao (4 shared papers)Weijun Tang (4 shared papers)
- Journals
- Future Generation Computer Systems (4 papers)PLoS ONE (2 papers)Photodermatology Photoimmunology & Photomedicine (2 papers)Human Brain Mapping (2 papers)Current Microbiology (1 paper)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Yi Jin
45 papers receiving 781 citations
Peers
Comparison fields: 5 of 118
- Cognitive Neuroscience 206
- Epidemiology 264
- Emergency Medicine 42
- Neurology 66
- Hepatology 29
Countries citing papers authored by Yi Jin
This map shows the geographic impact of Yi Jin'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 Yi Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Jin more than expected).
Fields of papers citing papers by Yi Jin
This network shows the impact of papers produced by Yi Jin. 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 Yi Jin. The network helps show where Yi Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi Jin, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 126 | |
| 2 | 2015 | 107 | |
| 3 | 2013 | 83 | |
| 4 | 2019 | 55 | |
| 5 | 2006 | 40 | |
| 6 | 2003 | 37 | |
| 7 | 2022 | 37 | |
| 8 | 2016 | 29 | |
| 9 | 2017 | 23 | |
| 10 | 2022 | 21 | |
| 11 | 2008 | 21 | |
| 12 | 2021 | 20 | |
| 13 | 2022 | 19 | |
| 14 | 2015 | 17 | |
| 15 | 2016 | 16 | |
| 16 | 2020 | 15 | |
| 17 | 2001 | 12 | |
| 18 | 2020 | 11 | |
| 19 | 2020 | 11 | |
| 20 | 2021 | 10 |
About Yi Jin
Yi Jin is a scholar working on Computer Networks and Communications, Epidemiology, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 46 papers that have together received 797 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (10 papers), Advanced Memory and Neural Computing (9 papers), Hepatitis B Virus Studies (6 papers), Hepatitis C virus research (4 papers), Advanced Neural Network Applications (4 papers), Traumatic Brain Injury Research (4 papers), Functional Brain Connectivity Studies (3 papers) and Neural dynamics and brain function (3 papers). The work is most often cited by research in Cognitive Neuroscience (206 citations), Epidemiology (264 citations), Emergency Medicine (42 citations), Neurology (66 citations) and Hepatology (29 citations). Yi Jin has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Zhuo Zou, Yuxiang Huan, Jin Hu, Georg Northoff, Xuehai Wu, Liang Gao, Ying Mao, Weijun Tang, Lu Lu and Xuchu Weng. Their work appears in journals such as Future Generation Computer Systems, PLoS ONE, Photodermatology Photoimmunology & Photomedicine, Human Brain Mapping and Current Microbiology.
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.