Minglei Shu
- Cardiology and Cardiovascular Medicine top 5%
- Biomedical Engineering top 10%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Cognitive Neuroscience top 10%
- Topics
- ECG Monitoring and Analysis (29 papers)EEG and Brain-Computer Interfaces (19 papers)Non-Invasive Vital Sign Monitoring (11 papers)
- Cited by
- Cardiology and Cardiovascular MedicineCognitive NeuroscienceComputer Vision and Pattern Recognition
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Minglei Shu
107 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 135
- Cardiology and Cardiovascular Medicine 363
- Biomedical Engineering 299
- Artificial Intelligence 284
- Computer Vision and Pattern Recognition 241
- Cognitive Neuroscience 235
Countries citing papers authored by Minglei Shu
This map shows the geographic impact of Minglei Shu'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 Minglei Shu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minglei Shu more than expected).
Fields of papers citing papers by Minglei Shu
This network shows the impact of papers produced by Minglei Shu. 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 Minglei Shu. The network helps show where Minglei Shu may publish in the future.
Co-authorship network of co-authors of Minglei Shu
This figure shows the co-authorship network connecting the top 25 collaborators of Minglei Shu. A scholar is included among the top collaborators of Minglei Shu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Minglei Shu. Minglei Shu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 9 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 20 | |
| 8 | 3 | |
| 9 | 4 | |
| 10 | 91 | |
| 11 | 7 | |
| 12 | 6 | |
| 13 | 1 | |
| 14 | 57 | |
| 15 | 25 | |
| 16 | 1 | |
| 17 | 3 | |
| 18 | 31 | |
| 19 | 29 | |
| 20 | 4 |
About Minglei Shu
Minglei Shu is a scholar working on Computer Vision and Pattern Recognition, Cardiology and Cardiovascular Medicine and Cognitive Neuroscience, having authored 113 papers that have together received 1.4k indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (29 papers), EEG and Brain-Computer Interfaces (19 papers) and Non-Invasive Vital Sign Monitoring (11 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (363 citations), Cognitive Neuroscience (235 citations) and Computer Vision and Pattern Recognition (241 citations). Minglei Shu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yinglong Wang, Ruixia Liu, Yinglong Wang, Chao Chen, Hui Liu, Miao Pan, Chongqing Zhang, Yingmin Jia, Da Chen and Anming Dong. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.
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.