Yadan Luo
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Automotive Engineering top 5%
- Electrical and Electronic Engineering
- Control and Systems Engineering top 10%
- Co-authors
- Zi HuangMatthew BarthGuoyuan WuKanok BoriboonsomsinXuewei QiHeng Tao ShenZheng ZhangYang Yang
- Topics
- Multimodal Machine Learning Applications (19 papers)Domain Adaptation and Few-Shot Learning (14 papers)Advanced Image and Video Retrieval Techniques (14 papers)
- Journals
- Nature CommunicationsIEEE Transactions on Pattern Analysis and Machine IntelligenceFrontiers in Microbiology
- Partner nations
- AustraliaChinaUnited States
In The Last Decade
Yadan Luo
46 papers receiving 939 citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Computer Vision and Pattern Recognition 487
- Artificial Intelligence 320
- Automotive Engineering 186
- Electrical and Electronic Engineering 176
- Control and Systems Engineering 71
Countries citing papers authored by Yadan Luo
This map shows the geographic impact of Yadan Luo'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 Yadan Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yadan Luo more than expected).
Fields of papers citing papers by Yadan Luo
This network shows the impact of papers produced by Yadan Luo. 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 Yadan Luo. The network helps show where Yadan Luo may publish in the future.
Co-authorship network of co-authors of Yadan Luo
This figure shows the co-authorship network connecting the top 25 collaborators of Yadan Luo. A scholar is included among the top collaborators of Yadan Luo 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 Yadan Luo. Yadan Luo 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 | 3 | |
| 4 | 1 | |
| 5 | 44 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 7 | |
| 9 | 11 | |
| 10 | 6 | |
| 11 | 0 | |
| 12 | Robustness-Aware 3D Object Detection in Autonomous Driving: A Review and Outlookbreakdown → | 58 |
| 13 | 23 | |
| 14 | 7 | |
| 15 | 2 | |
| 16 | 14 | |
| 17 | 12 | |
| 18 | 8 | |
| 19 | 50 | |
| 20 | 1 |
About Yadan Luo
Yadan Luo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, having authored 53 papers that have together received 950 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (19 papers), Domain Adaptation and Few-Shot Learning (14 papers) and Advanced Image and Video Retrieval Techniques (14 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (487 citations), Automotive Engineering (186 citations) and Artificial Intelligence (320 citations). Yadan Luo has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Zi Huang, Matthew Barth, Guoyuan Wu, Kanok Boriboonsomsin, Xuewei Qi, Heng Tao Shen, Zheng Zhang, Yang Yang, Fumin Shen and Zijian Wang. Their work appears in journals such as Nature Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence and Frontiers in Microbiology.
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.