Jun Dong
Impact in
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- ECG Monitoring and Analysis
- Cardiac electrophysiology and arrhythmias
- Heart Rate Variability and Autonomic Control
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces
Papers in
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- ECG Monitoring and Analysis 15
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- EEG and Brain-Computer Interfaces 9
- Co-authors
- Kup‐Sze Choi (1 shared paper)Zhancheng Zhang (1 shared paper)Xiaoqing Luo (1 shared paper)Xiao‐Jun Wu (1 shared paper)Xia Liu (1 shared paper)Xiaojuan Hu (2 shared papers)Miao Xu (3 shared papers)Jiatuo Xu (1 shared paper)
- Journals
- IEEE Intelligent Systems (2 papers)Artificial Intelligence in Medicine (1 paper)iScience (1 paper)Computational Intelligence and Neuroscience (1 paper)Computers in Biology and Medicine (1 paper)
- Partner nations
- ChinaUnited StatesSpain
In The Last Decade
Jun Dong
31 papers receiving 664 citations
Peers
Comparison fields: 5 of 85
- Cardiology and Cardiovascular Medicine 508
- Cognitive Neuroscience 379
- Health Information Management 29
- Biomedical Engineering 222
- Signal Processing 44
Countries citing papers authored by Jun Dong
This map shows the geographic impact of Jun Dong'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 Jun Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Dong more than expected).
Fields of papers citing papers by Jun Dong
This network shows the impact of papers produced by Jun Dong. 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 Jun Dong. The network helps show where Jun Dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Dong, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 278 | |
| 2 | 2013 | 64 | |
| 3 | 2017 | 57 | |
| 4 | 2016 | 46 | |
| 5 | 2012 | 36 | |
| 6 | 2014 | 30 | |
| 7 | 2012 | 22 | |
| 8 | 2017 | 17 | |
| 9 | 2015 | 16 | |
| 10 | 2018 | 14 | |
| 11 | 2005 | 13 | |
| 12 | 2010 | 13 | |
| 13 | 2023 | 12 | |
| 14 | 2008 | 12 | |
| 15 | 2023 | 10 | |
| 16 | 2024 | 10 | |
| 17 | 2009 | 9 | |
| 18 | 2009 | 4 | |
| 19 | 2013 | 4 | |
| 20 | 2008 | 3 |
About Jun Dong
Jun Dong is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience, Biomedical Engineering, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 31 papers that have together received 687 indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (15 papers), Non-Invasive Vital Sign Monitoring (10 papers), EEG and Brain-Computer Interfaces (9 papers), Phonocardiography and Auscultation Techniques (3 papers), Image Retrieval and Classification Techniques (2 papers), Wireless Body Area Networks (2 papers), Fractal and DNA sequence analysis (2 papers) and Time Series Analysis and Forecasting (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (508 citations), Cognitive Neuroscience (379 citations), Health Information Management (29 citations), Biomedical Engineering (222 citations) and Signal Processing (44 citations). Jun Dong has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Kup‐Sze Choi, Zhancheng Zhang, Xiaoqing Luo, Xiao‐Jun Wu, Xia Liu, Xiaojuan Hu, Miao Xu, Jiatuo Xu, Dongrong Xu and Yunhe Pan. Their work appears in journals such as IEEE Intelligent Systems, Artificial Intelligence in Medicine, iScience, Computational Intelligence and Neuroscience and Computers in Biology and Medicine.
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.