Yue Liao
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 5%
- Media Technology top 5%
- Aerospace Engineering
- Environmental Engineering
- Co-authors
- Chen QianSi LiuFei WangYanjie ChenJiashi FengGuanbin LiBo LiZhiwei Dong
- Topics
- Multimodal Machine Learning Applications (12 papers)Human Pose and Action Recognition (7 papers)Advanced Neural Network Applications (7 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image ProcessingIEEE Access
- Partner nations
- ChinaPolandUnited States
In The Last Decade
Yue Liao
28 papers receiving 977 citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Computer Vision and Pattern Recognition 778
- Artificial Intelligence 339
- Media Technology 100
- Aerospace Engineering 45
- Environmental Engineering 44
Countries citing papers authored by Yue Liao
This map shows the geographic impact of Yue Liao'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 Liao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yue Liao more than expected).
Fields of papers citing papers by Yue Liao
This network shows the impact of papers produced by Yue Liao. 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 Liao. The network helps show where Yue Liao may publish in the future.
Co-authorship network of co-authors of Yue Liao
This figure shows the co-authorship network connecting the top 25 collaborators of Yue Liao. A scholar is included among the top collaborators of Yue Liao 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 Liao. Yue Liao 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 | YOLO-MECD: Citrus Detection Algorithm Based on YOLOv11breakdown → | 17 |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 13 | |
| 9 | 1 | |
| 10 | 57 | |
| 11 | 92 | |
| 12 | 8 | |
| 13 | 165 | |
| 14 | 140 | |
| 15 | 132 | |
| 16 | 55 | |
| 17 | 28 | |
| 18 | 33 | |
| 19 | 20 | |
| 20 | 20 |
About Yue Liao
Yue Liao is a scholar working on Acoustics and Ultrasonics, Computer Vision and Pattern Recognition and Media Technology, having authored 30 papers that have together received 980 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (12 papers), Human Pose and Action Recognition (7 papers) and Advanced Neural Network Applications (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (778 citations), Media Technology (100 citations) and Artificial Intelligence (339 citations). Yue Liao has collaborated with scholars based in China, Poland and United States. Frequent co-authors include Chen Qian, Si Liu, Fei Wang, Fei Wang, Yanjie Chen, Jiashi Feng, Guanbin Li, Bo Li, Zhiwei Dong and Guoxuan Li. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Access.
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.