Yudong Tao
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 2%
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Signal Processing top 5%
- Co-authors
- Mei‐Ling ShyuShu‐Ching ChenHaiman TianSamira PouyanfarSaad SadiqYilin YanS. S. IyengarMaria Presa Reyes
- Topics
- Anomaly Detection Techniques and Applications (7 papers)Music and Audio Processing (4 papers)Disaster Management and Resilience (4 papers)
- Journals
- Scientific ReportsIEEE Transactions on Geoscience and Remote SensingIEEE Transactions on Biomedical Engineering
- Partner nations
- United StatesChinaJapan
In The Last Decade
Yudong Tao
49 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Artificial Intelligence 622
- Computer Vision and Pattern Recognition 385
- Computer Networks and Communications 139
- Electrical and Electronic Engineering 133
- Signal Processing 111
Countries citing papers authored by Yudong Tao
This map shows the geographic impact of Yudong Tao'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 Yudong Tao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yudong Tao more than expected).
Fields of papers citing papers by Yudong Tao
This network shows the impact of papers produced by Yudong Tao. 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 Yudong Tao. The network helps show where Yudong Tao may publish in the future.
Co-authorship network of co-authors of Yudong Tao
This figure shows the co-authorship network connecting the top 25 collaborators of Yudong Tao. A scholar is included among the top collaborators of Yudong Tao 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 Yudong Tao. Yudong Tao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 14 | |
| 7 | 4 | |
| 8 | 3 | |
| 9 | 10 | |
| 10 | 4 | |
| 11 | 8 | |
| 12 | 3 | |
| 13 | Deep reinforcement learning for optimized visual field analysis | 2 |
| 14 | 6 | |
| 15 | 7 | |
| 16 | 2 | |
| 17 | 63 | |
| 18 | A Survey on Deep Learningbreakdown → | 915 |
| 19 | 39 | |
| 20 | Automated Planet-Wide DTM Generation from NASA MRO Data — A Status Report | 1 |
About Yudong Tao
Yudong Tao is a scholar working on Computer Vision and Pattern Recognition, Pharmacy and Transportation, having authored 50 papers that have together received 1.5k indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (7 papers), Music and Audio Processing (4 papers) and Disaster Management and Resilience (4 papers). The work is most often cited by research in Artificial Intelligence (622 citations), Computer Vision and Pattern Recognition (385 citations) and Health Informatics (17 citations). Yudong Tao has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Mei‐Ling Shyu, Shu‐Ching Chen, Haiman Tian, Samira Pouyanfar, Saad Sadiq, Yilin Yan, S. S. Iyengar, Maria Presa Reyes, Ahmed S. Kaseb and Anup Mohan. Their work appears in journals such as Scientific Reports, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Biomedical Engineering.
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.