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
- Epidemiology 14
- Hepatitis B Virus Studies 7
- Liver Disease Diagnosis and Treatment 4
- Traumatic Brain Injury Research 4
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- IoT and Edge/Fog Computing 10
- Co-authors
- Zhuo Zou (17 shared papers)Yuxiang Huan (11 shared papers)Weijun Tang (4 shared papers)Xuehai Wu (4 shared papers)Jin Hu (4 shared papers)Liang Gao (4 shared papers)Georg Northoff (4 shared papers)Ying Mao (4 shared papers)
- Journals
- Future Generation Computer Systems (4 papers)Photodermatology Photoimmunology & Photomedicine (2 papers)Human Brain Mapping (2 papers)PLoS ONE (2 papers)IEEE Transactions on Very Large Scale Integration (VLSI) Systems (1 paper)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Yi Jin
42 papers receiving 755 citations
Peers
Comparison fields: 5 of 121
- Cognitive Neuroscience 241
- Epidemiology 287
- Emergency Medicine 61
- Neurology 88
- Hepatology 41
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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 124 | |
| 2 | 2015 | 103 | |
| 3 | 2013 | 82 | |
| 4 | 2019 | 54 | |
| 5 | 2006 | 40 | |
| 6 | 2003 | 38 | |
| 7 | 2022 | 36 | |
| 8 | 2016 | 28 | |
| 9 | 2017 | 23 | |
| 10 | 2008 | 21 | |
| 11 | 2021 | 20 | |
| 12 | 2022 | 18 | |
| 13 | 2022 | 17 | |
| 14 | 2015 | 17 | |
| 15 | 2020 | 15 | |
| 16 | 2016 | 15 | |
| 17 | 2001 | 12 | |
| 18 | 2020 | 11 | |
| 19 | 2021 | 10 | |
| 20 | 2020 | 10 |
About Yi Jin
Yi Jin is a scholar working on Epidemiology, Computer Networks and Communications, Electrical and Electronic Engineering, Cognitive Neuroscience and Computer Vision and Pattern Recognition, having authored 45 papers that have together received 773 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 (7 papers), Hepatitis C virus research (7 papers), Functional Brain Connectivity Studies (5 papers), Advanced Neural Network Applications (4 papers), Liver Disease Diagnosis and Treatment (4 papers) and Traumatic Brain Injury Research (4 papers). The work is most often cited by research in Cognitive Neuroscience (241 citations), Epidemiology (287 citations), Emergency Medicine (61 citations), Neurology (88 citations) and Hepatology (41 citations). Yi Jin has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Zhuo Zou, Yuxiang Huan, Weijun Tang, Xuehai Wu, Jin Hu, Liang Gao, Georg Northoff, Ying Mao, Lu Lu and Tomi Westerlund. Their work appears in journals such as Future Generation Computer Systems, Photodermatology Photoimmunology & Photomedicine, Human Brain Mapping, PLoS ONE and IEEE Transactions on Very Large Scale Integration (VLSI) Systems.
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.