Yunyang Xiong
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Computational Mechanics
- Human-Computer Interaction top 10%
- Electrical and Electronic Engineering
- Co-authors
- Vikas SinghHyunwoo J. KimMingxing TanRudrasis ChakrabortyYin LiSanghyeok LeeJinyoung ParkBerkin Akin
- Topics
- Advanced Neural Network Applications (4 papers)Adversarial Robustness in Machine Learning (2 papers)Advanced Vision and Imaging (2 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceLecture notes in computer sciencearXiv (Cornell University)
- Partner nations
- United StatesSouth KoreaSingapore
In The Last Decade
Yunyang Xiong
14 papers receiving 466 citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Computer Vision and Pattern Recognition 249
- Artificial Intelligence 128
- Computational Mechanics 48
- Human-Computer Interaction 48
- Electrical and Electronic Engineering 47
Countries citing papers authored by Yunyang Xiong
This map shows the geographic impact of Yunyang Xiong'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 Yunyang Xiong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yunyang Xiong more than expected).
Fields of papers citing papers by Yunyang Xiong
This network shows the impact of papers produced by Yunyang Xiong. 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 Yunyang Xiong. The network helps show where Yunyang Xiong may publish in the future.
Co-authorship network of co-authors of Yunyang Xiong
This figure shows the co-authorship network connecting the top 25 collaborators of Yunyang Xiong. A scholar is included among the top collaborators of Yunyang Xiong 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 Yunyang Xiong. Yunyang Xiong 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 | 0 | |
| 3 | EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anythingbreakdown → | 74 |
| 4 | 2 | |
| 5 | 57 | |
| 6 | 7 | |
| 7 | 26 | |
| 8 | 97 | |
| 9 | 137 | |
| 10 | 3 | |
| 11 | Resource Constrained Neural Network Architecture Search. | 2 |
| 12 | 2 | |
| 13 | 2 | |
| 14 | 16 | |
| 15 | 52 | |
| 16 | 2 |
About Yunyang Xiong
Yunyang Xiong is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition and Instrumentation, having authored 16 papers that have together received 479 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (4 papers), Adversarial Robustness in Machine Learning (2 papers) and Advanced Vision and Imaging (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (249 citations), Human-Computer Interaction (48 citations) and Geology (38 citations). Yunyang Xiong has collaborated with scholars based in United States, South Korea and Singapore. Frequent co-authors include Vikas Singh, Hyunwoo J. Kim, Mingxing Tan, Rudrasis Chakraborty, Yin Li, Sanghyeok Lee, Jinyoung Park, Berkin Akin, Yongzhe Wang and Gabriel Bender. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Lecture notes in computer science and arXiv (Cornell University).
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.