Mo Han
- Biomedical Engineering
- Control and Systems Engineering top 10%
- Cognitive Neuroscience
- Computer Vision and Pattern Recognition top 10%
- Applied Mathematics top 10%
- Topics
- EEG and Brain-Computer Interfaces (7 papers)Muscle activation and electromyography studies (6 papers)Image and Signal Denoising Methods (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsIEEE Transactions on Signal Processing
- Partner nations
- United StatesChinaMexico
In The Last Decade
Mo Han
17 papers receiving 272 citations
Peers
Comparison fields: 5 of 53
- Biomedical Engineering 120
- Control and Systems Engineering 93
- Cognitive Neuroscience 87
- Computer Vision and Pattern Recognition 68
- Applied Mathematics 60
Countries citing papers authored by Mo Han
This map shows the geographic impact of Mo Han'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 Mo Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mo Han more than expected).
Fields of papers citing papers by Mo Han
This network shows the impact of papers produced by Mo Han. 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 Mo Han. The network helps show where Mo Han may publish in the future.
Co-authorship network of co-authors of Mo Han
This figure shows the co-authorship network connecting the top 25 collaborators of Mo Han. A scholar is included among the top collaborators of Mo Han 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 Mo Han. Mo Han is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 14 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 5 | |
| 8 | 10 | |
| 9 | 2 | |
| 10 | 30 | |
| 11 | 19 | |
| 12 | 3 | |
| 13 | 16 | |
| 14 | 4 | |
| 15 | 6 | |
| 16 | 2 | |
| 17 | 46 | |
| 18 | 12 | |
| 19 | 101 |
About Mo Han
Mo Han is a scholar working on Cognitive Neuroscience, Applied Mathematics and Signal Processing, having authored 19 papers that have together received 279 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (7 papers), Muscle activation and electromyography studies (6 papers) and Image and Signal Denoising Methods (3 papers). The work is most often cited by research in Applied Mathematics (60 citations), Cognitive Neuroscience (87 citations) and Signal Processing (47 citations). Mo Han has collaborated with scholars based in United States, China and Mexico. Frequent co-authors include S. Arimoto, Kenji Tahara, Jun Shi, Xiaoping Liu, Deniz Erdoğmuş, Naitong Zhang, Lei He, Qingzhong Li, Gunar Schirner and Qinyu Zhang. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Signal Processing.
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.