Yue Cao
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 2%
- Electrical and Electronic Engineering
- Control and Systems Engineering top 5%
- Mechanical Engineering top 10%
- Co-authors
- Mingsheng LongJianmin WangHan ZhuMichael I. JordanZhangjie CaoPhilip S. YuBo ZhaoChuangxin Guo
- Topics
- Advanced Image and Video Retrieval Techniques (8 papers)Welding Techniques and Residual Stresses (7 papers)Manufacturing Process and Optimization (6 papers)
- Journals
- Proceedings of the National Academy of SciencesIEEE Transactions on Pattern Analysis and Machine IntelligenceJournal of Cleaner Production
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Yue Cao
72 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Computer Vision and Pattern Recognition 1.5k
- Artificial Intelligence 779
- Electrical and Electronic Engineering 275
- Control and Systems Engineering 256
- Mechanical Engineering 213
Countries citing papers authored by Yue Cao
This map shows the geographic impact of Yue Cao'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 Yue Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yue Cao more than expected).
Fields of papers citing papers by Yue Cao
This network shows the impact of papers produced by Yue Cao. 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 Yue Cao. The network helps show where Yue Cao may publish in the future.
Co-authorship network of co-authors of Yue Cao
This figure shows the co-authorship network connecting the top 25 collaborators of Yue Cao. A scholar is included among the top collaborators of Yue Cao 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 Yue Cao. Yue Cao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 2 | |
| 3 | 15 | |
| 4 | 21 | |
| 5 | 9 | |
| 6 | 0 | |
| 7 | 68 | |
| 8 | 16 | |
| 9 | 2 | |
| 10 | 10 | |
| 11 | 11 | |
| 12 | 4 | |
| 13 | 16 | |
| 14 | 2 | |
| 15 | Transferable Representation Learning with Deep Adaptation Networksbreakdown → | 489 |
| 16 | 77 | |
| 17 | 7 | |
| 18 | 148 | |
| 19 | Analysis of Control Conflict between UPFC Multiple Control Functions and Their Interaction Indicator | 15 |
| 20 | Control interactions of UPFC multi-control control functions - analysis | 4 |
About Yue Cao
Yue Cao is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Industrial and Manufacturing Engineering, having authored 78 papers that have together received 3.0k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (8 papers), Welding Techniques and Residual Stresses (7 papers) and Manufacturing Process and Optimization (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.5k citations), Artificial Intelligence (779 citations) and Media Technology (101 citations). Yue Cao has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Mingsheng Long, Jianmin Wang, Han Zhu, Michael I. Jordan, Zhangjie Cao, Philip S. Yu, Bo Zhao, Chuangxin Guo, Shichen Liu and Zheng Zhang. Their work appears in journals such as Proceedings of the National Academy of Sciences, IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Cleaner Production.
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.