Mao Ye
- Computer Vision and Pattern Recognition top 0.5%
- Computer Networks and Communications top 0.5%
- Artificial Intelligence top 1%
- Electrical and Electronic Engineering top 5%
- Information Systems top 0.5%
- Co-authors
- Wang-Chien LeeDik Lun LeePeifeng YinJuan WuGuihai ChenQihe LiuXiatian ZhuXue Li
- Topics
- Video Surveillance and Tracking Methods (36 papers)Domain Adaptation and Few-Shot Learning (36 papers)Advanced Neural Network Applications (32 papers)
- Journals
- Journal of Financial EconomicsIEEE Transactions on Pattern Analysis and Machine IntelligenceReview of Financial Studies
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Mao Ye
277 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Computer Vision and Pattern Recognition 2.1k
- Computer Networks and Communications 1.6k
- Artificial Intelligence 1.4k
- Electrical and Electronic Engineering 1.1k
- Information Systems 852
Countries citing papers authored by Mao Ye
This map shows the geographic impact of Mao Ye'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 Mao Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mao Ye more than expected).
Fields of papers citing papers by Mao Ye
This network shows the impact of papers produced by Mao Ye. 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 Mao Ye. The network helps show where Mao Ye may publish in the future.
Co-authorship network of co-authors of Mao Ye
This figure shows the co-authorship network connecting the top 25 collaborators of Mao Ye. A scholar is included among the top collaborators of Mao Ye 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 Mao Ye. Mao Ye 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 10 | |
| 6 | 8 | |
| 7 | 8 | |
| 8 | 1 | |
| 9 | 6 | |
| 10 | 44 | |
| 11 | 6 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 20 | |
| 15 | 23 | |
| 16 | 1 | |
| 17 | 2 | |
| 18 | 1 | |
| 19 | 0 | |
| 20 | 44 |
About Mao Ye
Mao Ye is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing, having authored 318 papers that have together received 6.0k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (36 papers), Domain Adaptation and Few-Shot Learning (36 papers) and Advanced Neural Network Applications (32 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.1k citations), Transportation (672 citations) and Computer Networks and Communications (1.6k citations). Mao Ye has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Wang-Chien Lee, Dik Lun Lee, Peifeng Yin, Juan Wu, Guihai Chen, Qihe Liu, Xiatian Zhu, Xue Li, Jie Wu and Xingjie Liu. Their work appears in journals such as Journal of Financial Economics, IEEE Transactions on Pattern Analysis and Machine Intelligence and Review of Financial Studies.
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.