Yutong Ban
- Computer Vision and Pattern Recognition top 5%
- Surgery
- Biomedical Engineering
- Aerospace Engineering
- Artificial Intelligence
- Co-authors
- Xavier Alameda-PinedaGuy RosmanRadu HoraudOzanan R. MeirelesThomas M. WardDaniel A. HashimotoDaniela RusYihong Xu
- Topics
- Surgical Simulation and Training (6 papers)Video Surveillance and Tracking Methods (5 papers)Speech and Audio Processing (3 papers)
- Cited by
- Health InformaticsComputer Vision and Pattern RecognitionSafety, Risk, Reliability and Quality
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Medical Imaging
- Partner nations
- United StatesFranceCanada
In The Last Decade
Yutong Ban
20 papers receiving 656 citations
Peers
Comparison fields: 5 of 97
- Computer Vision and Pattern Recognition 295
- Surgery 208
- Biomedical Engineering 124
- Aerospace Engineering 84
- Artificial Intelligence 82
Countries citing papers authored by Yutong Ban
This map shows the geographic impact of Yutong Ban'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 Yutong Ban with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yutong Ban more than expected).
Fields of papers citing papers by Yutong Ban
This network shows the impact of papers produced by Yutong Ban. 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 Yutong Ban. The network helps show where Yutong Ban may publish in the future.
Co-authorship network of co-authors of Yutong Ban
This figure shows the co-authorship network connecting the top 25 collaborators of Yutong Ban. A scholar is included among the top collaborators of Yutong Ban 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 Yutong Ban. Yutong Ban 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 | 15 | |
| 4 | 12 | |
| 5 | 16 | |
| 6 | 1 | |
| 7 | 17 | |
| 8 | 24 | |
| 9 | 17 | |
| 10 | 126 | |
| 11 | 6 | |
| 12 | 24 | |
| 13 | 38 | |
| 14 | 57 | |
| 15 | 98 | |
| 16 | 133 | |
| 17 | 3 | |
| 18 | 26 | |
| 19 | DeepMOT: A Differentiable Framework for Training Multiple Object Trackers | 15 |
| 20 | 8 |
About Yutong Ban
Yutong Ban is a scholar working on Health Informatics, Computer Vision and Pattern Recognition and Signal Processing, having authored 21 papers that have together received 669 indexed citations. Recurring topics across this work include Surgical Simulation and Training (6 papers), Video Surveillance and Tracking Methods (5 papers) and Speech and Audio Processing (3 papers). The work is most often cited by research in Health Informatics (66 citations), Computer Vision and Pattern Recognition (295 citations) and Safety, Risk, Reliability and Quality (54 citations). Yutong Ban has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Xavier Alameda-Pineda, Guy Rosman, Radu Horaud, Ozanan R. Meireles, Thomas M. Ward, Daniel A. Hashimoto, Daniela Rus, Yihong Xu, Laura Leal-Taixé and Chuang Gan. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Medical Imaging.
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.