Yue Gao
- Computer Vision and Pattern Recognition top 0.05%
- Artificial Intelligence top 0.2%
- Computational Mechanics top 0.2%
- Aerospace Engineering top 1%
- Information Systems top 0.5%
- Co-authors
- Rongrong JiYifan FengQionghai DaiZizhao ZhangXibin ZhaoTat‐Seng ChuaHaoxuan YouGuiguang Ding
- Topics
- Advanced Image and Video Retrieval Techniques (66 papers)Image Retrieval and Classification Techniques (46 papers)3D Shape Modeling and Analysis (41 papers)
- Journals
- Advanced MaterialsNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Yue Gao
355 papers receiving 12.9k citations
Hit Papers
Peers
Comparison fields: 5 of 201
- Computer Vision and Pattern Recognition 7.4k
- Artificial Intelligence 3.7k
- Computational Mechanics 2.0k
- Aerospace Engineering 953
- Information Systems 940
Countries citing papers authored by Yue Gao
This map shows the geographic impact of Yue Gao'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 Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yue Gao more than expected).
Fields of papers citing papers by Yue Gao
This network shows the impact of papers produced by Yue Gao. 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 Gao. The network helps show where Yue Gao may publish in the future.
Co-authorship network of co-authors of Yue Gao
This figure shows the co-authorship network connecting the top 25 collaborators of Yue Gao. A scholar is included among the top collaborators of Yue Gao 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 Gao. Yue Gao 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 | 8 | |
| 4 | 1 | |
| 5 | Hyper-YOLO: When Visual Object Detection Meets Hypergraph Computationbreakdown → | 57 |
| 6 | 9 | |
| 7 | 8 | |
| 8 | 4 | |
| 9 | 31 | |
| 10 | 26 | |
| 11 | 16 | |
| 12 | 4 | |
| 13 | 2 | |
| 14 | 0 | |
| 15 | 1 | |
| 16 | 44 | |
| 17 | 50 | |
| 18 | 3 | |
| 19 | 18 | |
| 20 | 41 |
About Yue Gao
Yue Gao is a scholar working on Computer Vision and Pattern Recognition, Fuel Technology and Computer Graphics and Computer-Aided Design, having authored 380 papers that have together received 13.2k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (66 papers), Image Retrieval and Classification Techniques (46 papers) and 3D Shape Modeling and Analysis (41 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (7.4k citations), Computer Graphics and Computer-Aided Design (525 citations) and Geology (767 citations). Yue Gao has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Rongrong Ji, Yifan Feng, Qionghai Dai, Zizhao Zhang, Xibin Zhao, Tat‐Seng Chua, Haoxuan You, Guiguang Ding, Meng Wang and Xuelong Li. Their work appears in journals such as Advanced Materials, Nature Communications and SHILAP Revista de lepidopterología.
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.