Yu Mao
- Mechanical Engineering top 10%
- Computer Vision and Pattern Recognition top 5%
- Computational Mechanics top 5%
- Biomedical Engineering
- Materials Chemistry
- Co-authors
- Stanley OsherBin DongWotao YinRajinikanth RajagopalGene CheungAnupam VivekGlenn S. DaehnChia-Lung Chen
- Topics
- Advanced Welding Techniques Analysis (11 papers)Medical Imaging Techniques and Applications (6 papers)Aluminum Alloys Composites Properties (5 papers)
- Cited by
- Structural BiologyIndustrial and Manufacturing EngineeringComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaThe Science of The Total EnvironmentJournal of Hazardous Materials
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Yu Mao
69 papers receiving 925 citations
Peers
Comparison fields: 5 of 111
- Mechanical Engineering 200
- Computer Vision and Pattern Recognition 194
- Computational Mechanics 152
- Biomedical Engineering 145
- Materials Chemistry 108
Countries citing papers authored by Yu Mao
This map shows the geographic impact of Yu Mao'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 Yu Mao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Mao more than expected).
Fields of papers citing papers by Yu Mao
This network shows the impact of papers produced by Yu Mao. 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 Yu Mao. The network helps show where Yu Mao may publish in the future.
Co-authorship network of co-authors of Yu Mao
This figure shows the co-authorship network connecting the top 25 collaborators of Yu Mao. A scholar is included among the top collaborators of Yu Mao 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 Yu Mao. Yu Mao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 3 | |
| 5 | 17 | |
| 6 | 16 | |
| 7 | 11 | |
| 8 | 33 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 3 | |
| 12 | 1 | |
| 13 | 43 | |
| 14 | 83 | |
| 15 | 2 | |
| 16 | 36 | |
| 17 | 38 | |
| 18 | 3 | |
| 19 | 6 | |
| 20 | 10 |
About Yu Mao
Yu Mao is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, having authored 75 papers that have together received 968 indexed citations. Recurring topics across this work include Advanced Welding Techniques Analysis (11 papers), Medical Imaging Techniques and Applications (6 papers) and Aluminum Alloys Composites Properties (5 papers). The work is most often cited by research in Structural Biology (35 citations), Industrial and Manufacturing Engineering (92 citations) and Computer Vision and Pattern Recognition (194 citations). Yu Mao has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Stanley Osher, Bin Dong, Wotao Yin, Rajinikanth Rajagopal, Gene Cheung, Anupam Vivek, Glenn S. Daehn, Chia-Lung Chen, Jérôme Gilles and Jun Wei Lim. Their work appears in journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Journal of Hazardous Materials.
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.