Songyou Peng
- Computer Vision and Pattern Recognition top 2%
- Aerospace Engineering top 5%
- Computational Mechanics top 5%
- Computer Graphics and Computer-Aided Design top 1%
- Geology top 2%
- Co-authors
- Marc PollefeysZhaopeng CuiZihan ZhuMartin R. OswaldViktor LarssonHujun BaoWeiwei XuShaohui Liu
- Topics
- Advanced Vision and Imaging (9 papers)Robotics and Sensor-Based Localization (8 papers)Computer Graphics and Visualization Techniques (4 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceThe International Journal of Robotics ResearchIEEE Transactions on Affective Computing
- Partner nations
- SwitzerlandUnited StatesChina
In The Last Decade
Songyou Peng
18 papers receiving 881 citations
Hit Papers
Peers
Comparison fields: 5 of 57
- Computer Vision and Pattern Recognition 628
- Aerospace Engineering 397
- Computational Mechanics 260
- Computer Graphics and Computer-Aided Design 201
- Geology 166
Countries citing papers authored by Songyou Peng
This map shows the geographic impact of Songyou Peng'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 Songyou Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Songyou Peng more than expected).
Fields of papers citing papers by Songyou Peng
This network shows the impact of papers produced by Songyou Peng. 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 Songyou Peng. The network helps show where Songyou Peng may publish in the future.
Co-authorship network of co-authors of Songyou Peng
This figure shows the co-authorship network connecting the top 25 collaborators of Songyou Peng. A scholar is included among the top collaborators of Songyou Peng 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 Songyou Peng. Songyou Peng 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 | 1 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 7 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | NICER-SLAM: Neural Implicit Scene Encoding for RGB SLAMbreakdown → | 70 |
| 12 | 10 | |
| 13 | OpenScene: 3D Scene Understanding with Open Vocabulariesbreakdown → | 145 |
| 14 | NICE-SLAM: Neural Implicit Scalable Encoding for SLAMbreakdown → | 431 |
| 15 | 23 | |
| 16 | 152 | |
| 17 | 21 | |
| 18 | 0 | |
| 19 | 31 | |
| 20 | 3 |
About Songyou Peng
Songyou Peng is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Geology, having authored 20 papers that have together received 907 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (9 papers), Robotics and Sensor-Based Localization (8 papers) and Computer Graphics and Visualization Techniques (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (201 citations), Computer Vision and Pattern Recognition (628 citations) and Geology (166 citations). Songyou Peng has collaborated with scholars based in Switzerland, United States and China. Frequent co-authors include Marc Pollefeys, Zhaopeng Cui, Zihan Zhu, Martin R. Oswald, Viktor Larsson, Hujun Bao, Weiwei Xu, Shaohui Liu, Boxin Shi and Yinda Zhang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, The International Journal of Robotics Research and IEEE Transactions on Affective Computing.
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.