Jin Jing
Impact in
- Cognitive Neuroscience top 2%
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- Psychiatry and Mental health top 2%
- Epilepsy research and treatment
Papers in ⓘ
-
- Epilepsy research and treatment 30
-
- EEG and Brain-Computer Interfaces 33
- Functional Brain Connectivity Studies 5
- Co-authors
- M. Brandon Westover (44 shared papers)Sydney S. Cash (18 shared papers)Justin Dauwels (14 shared papers)Alice Lam (6 shared papers)Andrew J. Cole (9 shared papers)Haoqi Sun (10 shared papers)John Thomas (5 shared papers)Jong Woo Lee (6 shared papers)
- Journals
- Clinical Neurophysiology (6 papers)International Journal of Neural Systems (3 papers)JAMA Neurology (3 papers)Neurology (3 papers)Epilepsia (2 papers)
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Jin Jing
85 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 126
- Cognitive Neuroscience 756
- Psychiatry and Mental health 489
- Health Informatics 23
- Signal Processing 146
- Cardiology and Cardiovascular Medicine 293
Countries citing papers authored by Jin Jing
This map shows the geographic impact of Jin Jing'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 Jin Jing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Jing more than expected).
Fields of papers citing papers by Jin Jing
This network shows the impact of papers produced by Jin Jing. 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 Jin Jing. The network helps show where Jin Jing may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin Jing, 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 100 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 212 | |
| 2 | 2019 | 117 | |
| 3 | 2020 | 112 | |
| 4 | 2016 | 78 | |
| 5 | 2019 | 72 | |
| 6 | 2019 | 61 | |
| 7 | 2020 | 59 | |
| 8 | 2021 | 55 | |
| 9 | 2018 | 54 | |
| 10 | 2019 | 50 | |
| 11 | 2017 | 39 | |
| 12 | 2022 | 38 | |
| 13 | 2021 | 34 | |
| 14 | 2021 | 32 | |
| 15 | 2020 | 27 | |
| 16 | 2021 | 25 | |
| 17 | 2021 | 24 | |
| 18 | 2019 | 23 | |
| 19 | 2019 | 21 | |
| 20 | 2018 | 21 |
About Jin Jing
Jin Jing is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience, Family Practice, Cardiology and Cardiovascular Medicine and Signal Processing, having authored 100 papers that have together received 1.6k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (33 papers), Epilepsy research and treatment (30 papers), Neonatal and fetal brain pathology (8 papers), Traumatic Brain Injury and Neurovascular Disturbances (6 papers), Blind Source Separation Techniques (6 papers), ECG Monitoring and Analysis (5 papers), Functional Brain Connectivity Studies (5 papers) and Cardiac Arrest and Resuscitation (5 papers). The work is most often cited by research in Cognitive Neuroscience (756 citations), Psychiatry and Mental health (489 citations), Health Informatics (23 citations), Signal Processing (146 citations) and Cardiology and Cardiovascular Medicine (293 citations). Jin Jing has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include M. Brandon Westover, Sydney S. Cash, Justin Dauwels, Alice Lam, Andrew J. Cole, Haoqi Sun, John Thomas, Jong Woo Lee, Jonathan J. Halford and Claire S. Jacobs. Their work appears in journals such as Clinical Neurophysiology, International Journal of Neural Systems, JAMA Neurology, Neurology and Epilepsia.
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.