Maosen Li
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition
- Biomedical Engineering
- Molecular Biology
- Topics
- Advanced Fiber Optic Sensors (4 papers)Photonic and Optical Devices (4 papers)Anomaly Detection Techniques and Applications (4 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Maosen Li
14 papers receiving 242 citations
Peers
Comparison fields: 5 of 66
- Artificial Intelligence 113
- Electrical and Electronic Engineering 77
- Computer Vision and Pattern Recognition 56
- Biomedical Engineering 44
- Molecular Biology 27
Countries citing papers authored by Maosen Li
This map shows the geographic impact of Maosen Li'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 Maosen Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maosen Li more than expected).
Fields of papers citing papers by Maosen Li
This network shows the impact of papers produced by Maosen Li. 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 Maosen Li. The network helps show where Maosen Li may publish in the future.
Co-authorship network of co-authors of Maosen Li
This figure shows the co-authorship network connecting the top 25 collaborators of Maosen Li. A scholar is included among the top collaborators of Maosen Li 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 Maosen Li. Maosen Li 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 | 3 | |
| 3 | 20 | |
| 4 | 7 | |
| 5 | 1 | |
| 6 | 16 | |
| 7 | 32 | |
| 8 | 11 | |
| 9 | 19 | |
| 10 | 0 | |
| 11 | 65 | |
| 12 | 15 | |
| 13 | Inverse-Transform AutoEncoder for Anomaly Detection | 24 |
| 14 | 15 | |
| 15 | 7 | |
| 16 | 14 |
About Maosen Li
Maosen Li is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 16 papers that have together received 249 indexed citations. Recurring topics across this work include Advanced Fiber Optic Sensors (4 papers), Photonic and Optical Devices (4 papers) and Anomaly Detection Techniques and Applications (4 papers). The work is most often cited by research in Structural Biology (5 citations), Artificial Intelligence (113 citations) and Computer Vision and Pattern Recognition (56 citations). Maosen Li has collaborated with scholars based in China and United States. Frequent co-authors include Cheng Deng, Heng Huang, Xinbo Gao, Junchi Yan, Libo Yuan, Shijie Deng, Chuanxin Teng, Rui Min, Xu Yang and Kun Wei. Their work appears in journals such as Sensors, Pattern Recognition and Electrophoresis.
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.